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    NCERT Exemplar Class 10 Maths Solutions Chapter 13 Statistics and Probability

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    NCERT Exemplar Class 10 Maths Solutions Chapter 13 Statistics and Probability

    Edited By Ravindra Pindel | Updated on Apr 26, 2023 03:00 PM IST | #CBSE Class 10th

    NCERT exemplar Class 10 Maths solutions chapter 13 is provided to students to prepare for CBSE exam. It is an extension to the learnings of statistics and probability done in Class 9. The chapter on Statistics and Probability is of great importance for the examinations as well as future career prospects for a student. All the data analytics and artificial intelligence-related verticals require a sound knowledge of Statistics and Probability. The NCERT exemplar Class 10 Maths chapter 13 solutions are curated by our highly experienced content development team which enables the students to study and practice NCERT Class 10 Maths effectively.

    These NCERT exemplar Class 10 Maths chapter 13 solutions follow the CBSE 10 Maths Syllabus Also, in this Chapter 13, there are exercises that revolve around various statistical measures, including mean, mode, and median. Through these exercises, students will gain an understanding of how to solve these types of problems. Additionally, the chapter delves into the topic of cumulative frequency distribution and cumulative frequency curves, providing further explanation and insight.

    NCERT Exemplar Class 10 Maths Solutions Chapter 13 Statistics and Probability: Exercise-13.1

    Question:1

    In the formula \bar{x}= a+\frac{\sum f_{i}d_{i}}{\sum f_{i}}
    for finding the mean of grouped data di’s are deviations from

    (A) lower limits of the classes
    (B) upper limits of the classes
    (C) mid points of the classes
    (D) frequencies of the class marks

    Answer:

    Answer. [C]
    Solution. Mean: It is the average of the given numbers/observations. It is easy to calculate mean. First of all, add up all the observations and then divide
    by the total number of observations.
    We know that di = xi – a
    where xi is data and a is mean
    So, di are the derivative from mid-point of the classes.

    Question:2

    While computing mean of grouped data, we assume that the frequencies are
    (A) evenly distributed over all the classes
    (B) centred at the class marks of the classes
    (C) centred at the upper limits of the classes
    (D) centred at the lower limits of the classes

    Answer:

    Answer. [B]
    Solution. Mean: It is the average of the given numbers/observations. It is easy to calculate mean. First of all, add up all the observations and then divide by the total number of observations.
    Hence while computing mean of grouped data, we assume that the frequencies are centered at the class marks of the classes

    Question:3

    If xi’s are the mid points of the class intervals of grouped data, fi’s are the corresponding frequencies and \bar{x} is the mean, then \Sigma\left(f_{i} x_{i}-\bar{x}\right) is equal to
    (A) 0 (B) –1 (C) 1 (D) 2

    Answer:

    Answer. [A]
    Solution. Mean: It is the average of the given numbers/observations. It is easy to calculate mean. First of all, add up all the observations and then divide by the total number of observations.
    That is mean \left ( \bar{x} \right )= \frac{\sum f_{i}x_{i}}{n}
    By cross multiplication we get
    \sum f_{i}x_{i}= \bar{x}n\cdots (1)
    \sum \left ( f_{i}x_{i} -\bar{x}\right )= \sum f_{i}x_{i} -\sum \bar{x}
    = n\bar{x}-\sum \bar{x} (from equation (1))
    = n\bar{x}-n\bar{x}
    = 0

    Question:4

    In the formula \bar{x}= a+h\left ( \frac{\sum f_{i}u_{i}}{\sum f_{i}} \right ) for finding the mean of grouped frequency distribution, ui =
    (A) \frac{x_{i}+a}{h} (B) h(xi – a) (C) \frac{x_{i}-a}{h} (D) \frac{a-x_{i}}{h}

    Answer:

    Answer. [C]
    Solution. Mean: It is the average of the given numbers/observations. It is easy to calculate mean. First of all, add up all the observations and then divide by the total number of observations.
    Also we know that di = xi – a and u_{i}= \frac{d_{i}}{h}
    u_{i}= \frac{d_{i}}{h}
    put di = xi – a
    u_{i}= \frac{x_{i}-a}{h}
    Hence option C is correct

    Question:5

    The abscissa of the point of intersection of the less than type and of the more than type cumulative frequency curves of a grouped data gives its
    (A) mean (B) median (C) mode (D) all the three above

    Answer:

    Answer. [B]
    Solution. Frequency distribution: It tells how frequencies are distributed over values in a frequency distribution. However mostly we use frequency distribution to summarize categorical variables.
    If we make graph of less than type and of more than type grouped data and find the intersection point then the value at abscissa is the median of the grouped data.
    Hence option (B) is correct.

    Question:6

    For the following distribution :

    Class

    0-5

    5-10

    10-15

    15-20

    20-25

    Frequency

    10

    15

    12

    20

    9

    the sum of lower limits of the median class and modal class is
    (A) 15 (B) 25 (C) 30 (D) 35

    Answer:

    Answer. [B]
    Solution. Frequency distribution: It tells how frequencies are distributed over values in a frequency distribution. However mostly we use frequency distribution to summarize categorical variables.

    Class

    Frequency

    Cumulative Frequency (C.F)

    0-5

    10

    10

    5-10

    15

    (10+15=25)

    10-15

    12

    (25+12=37)

    15-20

    20

    (37+20=57)

    20-25

    9

    (57+9=66)



    N=66



    \frac{N}{2}=\frac{66}{2}=33 which ies in the class 10-15.
    Hence the median class is 10 – 15
    The class with maximum frequency is modal class which is 15 – 20
    The lower limit of median class = 10
    The lower limit of modal class = 15
    Sum = 10 + 15 = 25

    Question:7

    Consider the following frequency distribution:

    Class

    0-5

    6-11

    12-17

    18-23

    24-29

    Frequency

    13

    10

    15

    8

    11

    The upper limit of the median class is
    (A) 17 (B) 17.5 (C) 18 (D) 18.5

    Answer:

    Frequency distribution: It tells how frequencies are distributed over values in a frequency distribution. However mostly we use frequency distribution to summarize categorical variables.
    Class in not continuous. So we have to make 1t continuous first.

    Class

    Frequency

    Cumulative Frequency

    0-5.5

    13

    13

    5.5-11.5

    10

    (13+10=23)

    11.5-17.5

    15

    (23+15=38)

    17.5-23.5

    8

    (38+8=46)

    23.5-29.5

    11

    (46+11=57)



    N = 57



    \frac{N}{2}= \frac{57}{2}= 28\cdot 5
    Here the median class is 15.5 – 17.5
    upper limit of median class is 17.5

    Question:8

    For the following distribution :

    Marks

    Number of students

    Below 10
    Below 20
    Below 30
    Below 40
    Below 50
    Below 60

    3
    12
    27
    57
    75
    80

    the modal class is
    (A) 10-20 (B) 20-30 (C) 30-40 (D) 50-60

    Answer:

    Answer. [C]
    Solution.
    Frequency distribution: It tells how frequencies are distributed over values in a frequency distribution. However mostly we use frequency distribution to
    summarize categorical variables.

    Marks

    Frequency

    Cumulative Frequency

    0-10

    3

    3

    10-20

    12-3=9

    12

    20-30

    27-12=15

    27

    30-40

    57-27=30

    57

    40-50

    75-57=18

    75

    50-60

    80-75=5

    80



    =80



    The class with highest frequency is 30-40
    Hence 30 – 40 is the modal class.

    Question:9

    Consider the data :

    Class

    65-85

    85-105

    105-125

    125-145

    145-165

    165-185

    185-205

    Frequency

    4

    5

    13

    20

    14

    7

    4

    The difference of the upper limit of the median class and the lower limit of the modal class is
    (A) 0 (B) 19 (C) 20 (D) 38

    Answer:

    Answer. [C]

    Solution. Frequency distribution: It tells how frequencies are distributed overvalues in a frequency distribution. However mostly we use frequency distribution to summarize categorical variables.


    Class

    Frequency

    Cumulative Frequency

    65-85

    4

    4

    85-105

    5

    (4+5=9)

    105-125

    13

    (9+13=22)

    125-145

    20

    (22+20=42)

    145-165

    14

    (42+14=56)

    165-185

    7

    (56+7=63)

    185-205

    4

    (63+4=67)



    N = 67



    \frac{N}{2}= \frac{67}{2}= 33\cdot 5
    Median class = 125 – 145
    upper limit of median = 145
    The class with maximum frequency is modal class which is 125 – 145
    lower limit of modal class = 125
    Difference of the upper limit of median and lower limit of modal = 145 – 125 = 20

    Question:10

    The times, in seconds, taken by 150 athletes to run a 110 m hurdle race are tabulated below :

    Class

    13.8-14

    14-14.2

    14.2-14.4

    14.4-14.6

    14.6-14.8

    14.8-15

    Frequency

    2

    4

    5

    71

    48

    20

    The number of athletes who completed the race in less than 14.6 seconds is :
    (A) 11 (B) 71 (C) 82 (D) 130

    Answer:

    Answer. [C]
    Solution. Frequency:- The number of times a event occurs is a specific period is called frequency.
    The number of athletes who are below 14.6 = frequency of class (13.8-14) + frequency of class (14- 14.2) +
    frequency of class (14.2-14.4) + frequency of class (14.4-14.6)
    = 2 + 4 + 5 + 71 = 82
    Hence the frequency of race completed in less than 14.6 = 82

    Question:11

    Consider the following distribution :

    Marks obtained

    Number of students

    More than or equal to 0
    More than or equal to 10
    More than or equal to 20
    More than or equal to 30
    More than or equal to 40
    More than or equal to 50


    63
    58
    55
    51
    48
    42

    the frequency of the class 30-40 is
    (A) 3 (B) 4 (C) 48 (D) 51

    Answer:

    Answer. [A]
    Solution. Frequency distribution:
    It tells how frequencies are distributed over values in a frequency distribution. However mostly we use
    frequency distribution to summarize categorical variables.

    Marks obtained

    Cumulative Frequency

    Frequency

    0-10

    63

    5

    10-20

    58

    3

    20-30

    55

    4

    30-40

    51

    3

    40-50

    48

    6

    50-60

    42

    42

    So the frequency of class 30 – 40 is 3.

    Question:12

    If an event cannot occur, then its probability is
    (A) 1 (B)\frac{3}{4} (C) \frac{1}{2} (D) 0

    Answer:

    Answer. [D]
    Solution. Probability; probability means possibility. It is a branch of mathematics that deals with the occurrence of a random event. The value is expressed from zero to one
    Here number of favorable cases is 0.
    Probability = \frac{Number \, of\, favourable\, case}{Total\, number\, of\, cases}
    Probability = \frac{0}{\left ( Total\, cases \right )}= 0

    Question:13

    Which of the following cannot be the probability of an event?
    (A)\frac{1}{3} (B) 0.1 (C) 3% (D)\frac{17}{16}

    Answer:

    Answer. [D]
    Solution. Probability; probability means possibility. It is a branch of mathematics that deals with the occurrence of a random event. The value is expressed from zero to one
    (A) 1/3
    Here 0 < 1/3 < 1
    Hence it can be the probability of an event.
    (B) 0.1
    Here 0 < 0.1 < 1
    Hence it can be the probability of an event.
    (C) 3% = 3/100 = 0.03
    Here 0 < 0.03 < 1
    Hence it can be the probability of an event.
    (D)17/16
    Here \frac{17}{16}> 1
    Hence \frac{17}{16} is not a probability of event
    Hence option (D) is correct answer.

    Question:14

    An event is very unlikely to happen. Its probability is closest to
    (A) 0.0001 (B) 0.001 (C) 0.01 (D) 0.1

    Answer:

    Answer. [A]
    Solution. Probability; probability means possibility. It is a branch of mathematics that deals with the occurrence of a random event. The value is expressed from zero to one.
    The descending order of option (A), (B), (C), (D) is
    0.1 > 0.01 > 0.001 > 0.0001 that is (D) > (C) > (B) > (A)
    We can also say that it is the order of happening of an event.
    Here 0.0001 it is the smallest one.
    Hence 0.0001 is very unlikely to happen

    Question:15

    If the probability of an event is p, the probability of its complementary event will be
    (A) p – 1 (B) p (C) 1 – p (D)1-\frac{1}{p}

    Answer:

    Answer. [C]
    Solution. Probability; probability means possibility. It is a branch of mathematics that deals with the occurrence of a random event. The value is expressed from zero to one.
    The probability of an event = p
    Let the probability of its complementary event = q
    We know that total probability is equal to 1.
    Hence, p + q = 1
    q = 1 – p

    Question:16

    The probability expressed as a percentage of a particular occurrence can never be
    (A) less than 100
    (B) less than 0
    (C) greater than 1
    (D) anything but a whole number

    Answer:

    Answer. [B]
    Solution. Probability; probability means possibility. It is a branch of mathematics that deals with the occurrence of a random event. The value is expressed from zero to one.
    The probability expressed as presentage of an event A is btewwen 0 to 100.
    Hence we can say that probability can never be less than 0.
    Hence option (B) is correct.

    Question:17

    If P(A) denotes the probability of an event A, then
    (A) P(A) < 0 (B) P(A) > 1 (C) 0 ≤ P(A) ≤ 1 (D) –1 ≤ P(A) ≤ 1

    Answer:

    Answer. [C]
    Solution. Probability; probability means possibility. It is a branch of mathematics that deals with the occurrence of a random event. The value is expressed from zero to one.
    (A) P(A) < 0
    It is not represent the probability of event A because probability of an event can never be less than 0.
    (B) P(A) > 1
    It is not represent the probability of event A because probability of an event can never be greater than 1.
    (C) 0 ≤ P(A) ≤ 1
    It represent probability of event A because probability of an event is always lies from 0 to 1.
    (D) –1 ≤ P(A) ≤ 1
    It is not represent the probability of event A because probability of an event can never be equal to -1.
    Hence option (C) is correct .

    Question:18

    A card is selected from a deck of 52 cards. The probability of its being a red face card is
    (A) \frac{3}{26} (B) \frac{3}{13} (C) \frac{2}{13} (D) \frac{1}{2}

    Answer:

    Answer. [A]
    Solution. Probability: probability means possibility. It is a branch of mathematics that deals with the occurrence of a random event. The value is expressed from zero to one.
    Total number of cases = 52
    Red face cards = 6
    Favorable cases = 6
    Let event A is to select a card from 52 card.
    Probability that it is a red card is p(A)
    P\left ( A \right )= \frac{Number\, of\, favourable\, cases}{Total\, number\, of\, cases}
    P\left ( A \right )=\frac{6}{52}= \frac{3}{26}

    Question:19

    The probability that a non leap year selected at random will contain 53 Sundays is
    (A) \frac{1}{7} (B) \frac{2}{7} (C) \frac{3}{7} (D) \frac{5}{7}

    Answer:

    Answer. [A]
    Solution. Probability: probability means possibility. It is a branch of mathematics that deals with the occurrence of a random event. The value is expressed from zero to one.
    In 365 days there are 52 weeks and 1 day.
    If it contain 53 sunday then the 1 day of the year must be sunday.
    But there are total 7 days.
    Hence total number of favorable cases = 1
    Hence probability of 53 sunday = \frac{Number\, of\, favourable\, cases}{Total\, cases}
    = \frac{1}{7}

    Question:20

    When a die is thrown, the probability of getting an odd number less than 3 is
    (A) \frac{1}{6} (B) \frac{1}{3} (C) \frac{1}{2} (D) 0

    Answer:

    Answer. [A]
    Solution. Probability: probability means possibility. It is a branch of mathematics that deals with the occurrence of a random event. The value is expressed from zero to one.
    Total no. of cases = 6
    odd number less than 3 = 1
    Number of favorable cases = 1
    Probability = = \frac{1}{6}

    Question:21

    A card is drawn from a deck of 52 cards. The event E is that card is not an ace of hearts. The number of outcomes favourable to E is
    (A) 4 (B) 13 (C) 48 (D) 51

    Answer:

    Answer. [D]
    Solution. Total number of cards = 52
    Ace of hearts = 1
    The card is not an ace of hearts = 52 – 1 = 51
    The number of outcomes favourabe to E = 51

    Question:22

    The probability of getting a bad egg in a lot of 400 is 0.035. The number of bad eggs in the lot is
    (A) 7 (B) 14 (C) 21 (D) 28

    Answer:

    Answer. [B]
    Solution. Probability: probability means possibility. It is a branch of mathematics that deals with the occurrence of a random event. The value is expressed from zero to one.
    Let event A is to get a bad egg.
    So, p (A) = 0.035 (given)
    P(A) = \frac{Number\, of\, favorable\ cases }{Total\, number\, of\, cases}
    0.035 = \frac{Number\, of\, favorable\ cases }{400}
    Number of favourable cases = \frac{35}{1000}\times 400= \frac{140}{10}= 14

    Question:23

    A girl calculates that the probability of her winning the first prize in a lottery is 0.08. If 6000 tickets are sold, how many tickets has she bought?
    (A) 40 (B) 240 (C) 480 (D) 750

    Answer:

    Answer. [C]
    Solution. Probability: probability means possibility. It is a branch of mathematics that deals with the occurrence of a random event. The value is expressed from zero to one.
    Total cases = 6000
    Probability of getting first prize (p(A)) = 0.08
    p(A) = \frac{Number\, of\, tickets\, the\, bought}{Total\, tickets}
    0.08 × 6000 = Number of tickets the bought
    \frac{8}{100}\times 6000 = Number of tickets the bought
    Number of tickets the bought = 480.

    Question:24

    One ticket is drawn at random from a bag containing tickets numbered 1 to 40. The probability that the selected ticket has a number which is a multiple of 5 is
    (A) \frac{1}{5} (B) \frac{3}{5} (C) \frac{4}{5} (D) \frac{1}{3}

    Answer:

    Answer. [A]
    Solution. Probability: probability means possibility. It is a branch of mathematics that deals with the occurrence of a random event. The value is expressed from zero to one.
    Total tickets = 40
    Number of tickets multiple of 5 = 5, 10, 15, 20, 25, 30, 35, 40
    Total favourable cases = 8
    Let A be the event of getting a ticket with number multiple of 5.
    p(A) = \frac{Number\, of\, tickets\, the\, bought}{Total\, tickets}
    p\left ( A \right )= \frac{8}{40}= \frac{1}{5}

    Question:25

    Someone is asked to take a number from 1 to 100. The probability that it is a prime is
    (A) \frac{1}{5} (B) \frac{6}{25} (C) \frac{1}{4} (D) \frac{13}{50}

    Answer:

    Answer. [C]
    Solution. Probability: probability means possibility. It is a branch of mathematics that deals with the occurrence of a random event. The value is expressed from zero to one.
    Total number of cases = 100
    prime number from 1 to 100 = 2, 3, 5, 7, 9, 11, 13, 17, 19,
    23, 29, 31, 37, 41, 43, 47, 53, 59, 61, 67, 71, 73, 83, 89, 97
    Total prime numbers from 1 to 100 = 25
    Probability of getting prime number = \frac{prime\, no.\, from\, 1\, to\, 100}{Total\, number}
    \\=\frac{25}{100}\\\\=\frac{1}{4}

    Question:26

    A school has five houses A, B, C, D and E. A class has 23 students, 4 from house A, 8 from house B, 5 from house C, 2 from house D and rest from house E. Asingle student is selected at random to be the class monitor. The probability that theselected student is not from A, B and C is
    (A) \frac{4}{23} (B) \frac{6}{23} (C) \frac{8}{23} (D) \frac{17}{23}

    Answer:

    Answer. [B]
    Solution. Probability: probability means possibility. It is a branch of mathematics that deals with the occurrence of a
    random event. The value is expressed from zero to one.
    Total students = 23
    Students in A, B, C = 4 + 8 + 5 = 17
    Students in C, D = 23 – 17 = 6
    Number of favourable cases = 6
    Let A be the event that the student is not from A, B, C
    p\left ( A \right )= \frac{Student\, from\, C,D}{Total\, students}
    p\left ( A \right )= \frac{6}{23}

    NCERT Exemplar Class 10 Maths Solutions Chapter 13 Statistics and Probability: Exercise-13.2

    Question:1

    The median of an ungrouped data and the median calculated when the same data is grouped are always the same. Do you think that this is a correct statement? Give reason.

    Answer:

    Answer. [False]
    Solution. Grouped data are data formed by aggregating individual observations of a variable into groups.
    Ungrouped data:- The data which is not grouped is called ungrouped data.
    The median is the middle number in the grouped data but when data is ungrouped the median is also changed.
    Hence the median is not same of grouped and ungrouped data

    Question:2

    In calculating the mean of grouped data, grouped in classes of equal width, we may use the formula
    \bar{x}= a+\frac{\sum f_{i}d_{i}}{\sum f_{i}}where a is the assumed mean. a must be one of the mid-points of the classes. the last statement correct? Justify your answer.

    Answer:

    Answer. [False]
    Solution. Grouped data are data formed by aggregating individual observations of a variable into groups.
    Mean : It is the average of the given numbers. It is easy
    to calculate mean. First of all add up all the numbers then divide by how many numbers are there.
    This last statement is not correct because a can be any point in the grouped data it is not necessary that a must be mid-point.
    Hence the statement is false.

    Question:3

    Is it true to say that the mean, mode and median of grouped data will always be different? Justify your answer.

    Answer:

    Answer. [False]
    Solution. Mean : It is the average of the given numbers. It is easy to calculate mean. First of all add up all the numbers then divide by how many numbers are there.
    Grouped data are data formed by aggregating individual observations of a variable into groups.
    The mean, mode and median of grouped data can be the same it will depend on what type of data is given.
    Hence the statement is false.

    Question:4

    Will the median class and modal class of grouped data always be different? Justify your answer.

    Answer:

    Answer. [False]
    Solution. Grouped data are data formed by aggregating individual observations of a variable into groups.
    The median is always the middle number and the modal class is the class with highest frequency it can be happen that the median class is of highest frequency.
    So the given statement is false median class and mode class can be same.

    Question:5

    In a family having three children, there may be no girl, one girl, two girls or three girls. So, the probability of each is \frac{1}{4} . Is this correct? Justify your answer.

    Answer:

    Answer. [False]
    Solution. Probability: probability means possibility. It is a branch of mathematics that deals with the occurrence of a random event. The value is expressed from zero to one.
    Total children = 3
    Cases – GGG, GGB, GBG, BGG, BBB, BBG, BGB, GBB were G is girl and B is boy.
    Probability = \frac{Number\, of\, favorable\ cases, }{Total\, number\, of\, cases}
    Probability of 0 girl = \frac{1}{8}
    Probability of 1 girl = \frac{3}{8}
    Probability of 2 girl = \frac{3}{8}
    Probability of 3 girl = \frac{1}{8}
    Here they are not equal to \frac{1}{4}

    Question:6

    A game consists of spinning an arrow which comes to rest pointing at one of the regions (1, 2 or 3) (Fig.). Are the outcomes 1, 2 and 3 equally likely to occur? Give reasons

    Answer:

    Answer. [False]
    Solution. Probability: probability means possibility. It is a branch of mathematics that deals with the occurrence of a random event. The value is expressed from zero to one.
    Here 3 contain 50% of the region and 1, 2, contain 25%, 15% of the region.
    Probability= \frac{Number\, of\, favorable\ cases }{Total\, number\, of\, cases}
    Probability\, of\, 3= \frac{50}{100}= \frac{1}{2}
    Probability\, of\, 1= \frac{25}{100}= \frac{1}{4}
    probability\, of\, 2= \frac{25}{100}= \frac{1}{4}
    All probabilities are not equal. So the given statement is false.

    Question:7

    Apoorv throws two dice once and computes the product of the numbers appearing on the dice. Peehu throws one die and squares the number that appears on it. Who has the better chance of getting the number 36? Why

    Answer:

    Answer. [Peehu]
    Solution. Probability: probability means possibility. It is a branch of mathematics that deals with the occurrence of a random event. The value is expressed from zero to one.
    As apoorv throws two dice total cases = 36
    Product is 36 when he get = (6, 6)
    Number of favourable cases = 1
    Probability = \frac{Number\, of\, favourable\ cases }{Total\, number\, of\, cases}
    Probability that Apoorv get 36 = \frac{1}{36}
    Peehu throws are die total cases = 6
    Square of 6 is 36
    Hence case = 1
    Probability that Peehu get 36 = \frac{1}{6}
    Hence Peehu has better cases to get 36.

    Question:8

    When we toss a coin, there are two possible outcomes - Head or Tail. Therefore, the probability of each outcome is \frac{1}{2} . Justify your answer.

    Answer:

    Answer. [True]
    Solution. Probability: probability means possibility. It is a branch of mathematics that deals with the occurrence of a random event. The value is expressed from zero to one.
    Total cases when we toss a coin = 2(H, T)
    Probability = \frac{Number\, of\, favourable\ cases, }{Total\, number\, of\, cases}
    Probability of head = \frac{1}{2}
    Probability of tail = \frac{1}{2}
    Hence the probability of each outcome is \frac{1}{2} .


    Question:9

    A student says that if you throw a die, it will show up 1 or not 1. Therefore, the probability of getting 1 and
    the probability of getting ‘not 1’ each is equal to \frac{1}{2} . Isthis correct? Give reasons.

    Answer:

    Answer. [False]
    Solution. Probability: probability means possibility. It is a branch of mathematics that deals with the occurrence of a random event. The value is expressed from zero to one.
    Here total cases = 6
    Number of favourable cases in getting 1 = 1
    Probability = \frac{Number\, of\, favourable\ cases, }{Total\, number\, of\, cases}
    Probability of getting 1= \frac{1}{6}
    Number of favourable cases 'not 1' = 5 (2, 3, 4, 5, 6)
    Probability of not 1 = \frac{5}{6}
    Hence they are not equal to \frac{1}{2}

    Question:10

    I toss three coins together. The possible outcomes are no heads, 1 head, 2 heads and 3 heads. So, I say that probability of no heads is \frac{1}{4} . What is wrong with thisconclusion?

    Answer:

    Answer. [\frac{1}{8} ]
    Solution. Probability: probability means possibility. It is a branch of mathematics that deals with the occurrence of a random event. The value is expressed from zero to one.
    Total cases in tossing three coins = 8(HHH, HHT, HTH, THH, TTT, TTH, THT, HTT)
    Number of case with no head = TTT
    Probability = \frac{Number\, of\, favourable\ cases }{Total\, number\, of\, cases}
    Probability of no head =\frac{1}{8}
    The conclusion that probability of no head is \frac{1}{4} is wrong because as we calculate it above, it comes out \frac{1}{8} . Hence the probability of no head is \frac{1}{8}

    Question:11

    If you toss a coin 6 times and it comes down heads on each occasion. Can you say that the probability of getting a head is 1? Give reasons.

    Answer:

    Answer. [False]
    Solution. Probability: probability means possibility. It is a branch of mathematics that deals with the occurrence of a random event. The value is expressed from zero to one.
    The probability of getting a head is 1, means that we never get tail. But this is not true because we have both head and tail in a coin. Hence probability of getting head is 1 is false.

    Question:12

    Sushma tosses a coin 3 times and gets tail each time. Do you think that the outcome of next toss will be a tail? Give reasons.

    Answer:

    Answer. [False]
    Solution. Probability: probability means possibility. It is a branch of mathematics that deals with the occurrence of a random event. The value is expressed from zero to one.
    No, because when we toss a coin we can get either tail or head and the probability of each is \frac{1}{2}.
    So, it is not necessary that she gets tail at fourth toss. She can get head also.

    Question:13

    If I toss a coin 3 times and get head each time, should I expect a tail to have a higher chance in the 4th toss? Give reason in support of your answer.

    Answer:

    Answer. [False]
    Solution. Probability: probability means possibility. It is a branch of mathematics that deals with the occurrence of a random event. The value is expressed from zero to one.
    No, because we get head or tail after tossing a coin that is the probability of both outcomes is \frac{1}{2} .
    Hence tail is not have higher chance than head.
    Both are have equal chance.

    Question:14

    A bag contains slips numbered from 1 to 100. If Fatima chooses a slip at random from the bag, it will either be an odd number or an even number. Since this situation has only two possible outcomes, so, the probability of each is \frac{1}{2} . Justify.

    Answer:

    Answer. [True]
    Solution. Probability: probability means possibility. It is a branch of mathematics that deals with the occurrence of a random event. The value is expressed from zero to one.
    Total slips = 100
    Slips with even number = 50
    Probability = \frac{Number\, of\, favourable\ cases }{Total\, number\, of\, cases}
    Probability of slip with even number = \frac{50}{100}= \frac{1}{2}
    Slips with odd number = 50
    Probability of slip with odd number = \frac{50}{100}= \frac{1}{2}
    Hence the probability of each is \frac{1}{2} .

    NCERT Exemplar Class 10 Maths Solutions Chapter 13 Statistics and Probability: Exercise-13.3

    Question:1

    Find the mean of the distribution :

    Class

    1-3

    3-5

    5-7

    7-10

    Frequency

    9

    22

    27

    17

    Answer:

    Answer. [5.5]
    Solution. Here we calculate mean by following the given steps:

    1. Find the mid point of each interval.

    2. Multiply the frequency of each interval by its mid point.

    3. Get the sum of all the frequencies (f) and sum of all the (fx)

    4. Now divide sum of (fx) by sum of (f)

      Class

      Marks (xi)

      Frequency(fi)

      fixi

      1-3

      2

      9

      18

      3-5

      4

      22

      88

      5-7

      6

      27

      162

      7-10

      8.5

      17

      144.5





      \sum f_{i}= 75

      \sum f_{i}x_{i}= 412\cdot 5


      mean\left ( \bar{x} \right )= \frac{\sum f_{i}x_{i}}{\sum f_{i}}= \frac{412\cdot 5}{75}= 5\cdot 5

    Question:2

    Calculate the mean of the scores of 20 students in a mathematics test :

    Marks

    10-20

    20-30

    30-40

    40-50

    50-60

    Number of students

    2

    4

    7

    6

    1

    Answer:

    Answer. [35]
    Solution. Here we calculate mean by following the given steps:

    1. Find the mid point of each interval.

    2. Multiply the frequency of each interval by its mid point.

    3. Get the sum of all the frequencies (f) and sum of all the (fx)
      4 Now divide sum of (fx) by sum of (f)

    Marks

    xi

    No.of students fi

    fixi

    10-20

    15

    2

    30

    20-30

    25

    4

    100

    30-40

    35

    7

    245

    40-50

    45

    6

    270

    50-60

    55

    1

    55

    \sum f_{i}= 20 \sum f_{i}x_{i}= 700
    mean\left ( \bar{x} \right )= \frac{\sum f_{i}x_{i}}{\sum f_{i}}= \frac{700}{20}= 35

    Question:3

    Calculate the mean of the following data

    Class

    4-7

    8-11

    12-15

    16-19

    Frequency

    5

    4

    9

    10

    Answer:

    Answer. [12.93]
    Solution. Here we calculate mean by following the given steps:

    1. Find the mid point of each interval.

    2. Multiply the frequency of each interval by its mid point.

    3. Get the sum of all the frequencies (f) and sum of all the (fx)

    4. Now divide sum of (fx) by sum of (f)

    Class

    xi

    fi

    fi xi

    4-7

    5.5

    5

    275

    8-11

    9.5

    4

    38

    12-15

    13.5

    9

    121.5

    16-19

    17.5

    10

    175





    \sum f_{i}= 28

    \sum f_{i}x_{i}= 362

    mean\left ( \bar{x} \right )= \frac{\sum f_{i}x_{i}}{\sum f_{i}}= \frac{362}{28}= 12\cdot 93

    Question:4

    The following table gives the number of pages written by Sarika for completing her own book for 30 days :

    no.of pages written per day

    16-18

    19-21

    22-24

    25-27

    28-30

    no.of days

    1

    3

    4

    9

    13

    Find the mean number of pages written per day.

    Answer:

    Answer. [26]
    Solution. Here we calculate mean by following the given steps:

    1. Find the mid point of each interval.

    2. Multiply the frequency of each interval by its mid point.

    3. Get the sum of all the frequencies (f) and sum of all the (fx)

    4. Now divide sum of (fx) by sum of (f)

      No.of pages written per day

      no.of days(fi)

      (xi)

      fixi

      16-18

      1

      17

      17

      19-21

      3

      20

      60

      22-24

      4

      23

      92

      25-27

      9

      26

      234

      28-30

      13

      29

      377



      \sum f_{i}= 30



      \sum f_{i}x_{i}= 780


      mean\left ( \bar{x} \right )= \frac{\sum f_{i}x_{i}}{\sum f_{i}}= \frac{780}{30}= 26

    Question:5

    The daily income of a sample of 50 employees are tabulated as follows :

    Income (in Rs)

    1-200

    201-400

    401-600

    601-800

    Number of employees

    14

    14

    14

    7

    Find the mean daily income of employees.

    Answer:

    Answer. [356.5]
    Solution. Here we calculate mean by following the given steps:

    1. Find the mid point of each interval.

    2. Multiply the frequency of each interval by its mid point.

    3. Get the sum of all the frequencies (f) and sum of all the (fx)

    4. Now divide sum of (fx) by sum of (f)

      Income (in Rs )

      xi

      No.of employees

      fixi

      1-200

      100.5

      14

      1407

      201-400

      300.5

      15

      4507.5

      401-600

      500.5

      14

      7007

      601-800

      700.5

      7

      4903.5





      \sum f_{i}= 50

      \sum f_{i}x_{i}= 17825

      mean\left ( \bar{x} \right )= \frac{\sum f_{i}x_{i}}{\sum f_{i}}= \frac{17825}{50}= 356.5

    Question:6

    An aircraft has 120 passenger seats. The number of seats occupied during 100 flights is given in the following table :

    no.of seats

    100-104

    104-108

    108-112

    112-116

    116-120

    Frequency

    15

    20

    32

    18

    15

    Determine the mean number of seats occupied over the flights.

    Answer:

    Answer. [109]
    Solution. Here we calculate mean by following the given steps:

    1. Find the mid point of each interval.

    2. Multiply the frequency of each interval by its mid point.

    3. Get the sum of all the frequencies (f) and sum of all the (fx)

    4. Now divide sum of (fx) by sum of (f)

    Number of seats

    Frequency fi

    xi

    fixi

    100-104

    15

    102

    1530

    104-108

    20

    106

    2120

    108-112

    32

    110

    3520

    112-116

    18

    114

    2052

    116-120

    15

    118

    177065268



    \sum f_{i}= 100



    \sum f_{i}x_{i}= 10992

    mean\left ( \bar{x} \right )= \frac{\sum f_{i}x_{i}}{\sum f_{i}}= \frac{10992}{100}= 109\cdot 92
    number of seats = 109

    Question:7

    The weights (in kg) of 50 wrestlers are recorded in the following table :

    Weight (in Kg)

    100-110

    110-120

    120-130

    130-140

    140-150

    Number of wrestlers

    4

    14

    21

    8

    3

    Find the mean weight of the wrestlers.

    Answer:

    Answer. [123.4]
    Solution.
    Here we calculate mean by following the given steps:

    1. Find the mid point of each interval.

    2. Multiply the frequency of each interval by its mid point.

    3. Get the sum of all the frequencies (f) and sum of all the (fx)

    4. Now divide sum of (fx) by sum of (f)

      Weight

      fi

      xi

      fixi

      100-110

      4

      105

      420

      110-120

      14

      115

      1610

      120-130

      21

      125

      2625

      130-140

      8

      135

      1080

      140-150

      3

      145

      435



      \sum f_{i}= 50



      \sum f_{i}x_{i}=6170


      mean\left ( \bar{x} \right )= \frac{\sum f_{i}x_{i}}{\sum f_{i}}= \frac{6170}{50}= 123\cdot 4 \ \ kg

    Question:8

    The mileage (km per litre) of 50 cars of the same model was tested by a manufacturer and details are tabulated as given below :

    MIleage (km/I)

    10-20

    12-14

    14-16

    16-18

    Number of cars

    7

    12

    18

    13

    Find the mean mileage.
    The manufacturer claimed that the mileage of the model was 16 km/litre. Do you agree with this claim?

    Answer:

    Answer. [14.48]
    Solution. Here we calculate mean by following
    1.Find the mid point of each interval.
    2.Multiply the frequency of each interval by its mid point.
    3.Get the sum of all the frequencies (f) and sum of all the (fx)
    4.Now divide sum of (fx) by sum of (f)

    MIleage (km/I)

    No.of cars (fi)

    xi

    fixi

    10-12

    7

    11

    77

    12-14

    12

    13

    156

    14-16

    18

    15

    270

    16-18

    13

    17

    221



    \sum f_{i}= 50


    \sum f_{i}x_{i}= 724

    mean\left ( \bar{x} \right )= \frac{\sum f_{i}x_{i}}{\sum f_{i}}= \frac{724}{50}= 14\cdot 48 \ \ km/L

    Question:9

    The following is the distribution of weights (in kg) of 40 persons :

    Weight (in kg)

    40-45

    45-50

    50-55

    55-60

    60-65

    65-70

    70-75

    70-75

    Number of person

    4

    4

    13

    5

    6

    5

    2

    1

    Construct a cumulative frequency distribution (of the less than type) table for the data above.

    Answer:

    Solution. Frequency distribution: It tells how frequencies are distributed over values in a frequency distribution. However mostly we use frequency distribution to summarize categorical variables.

    CI.

    f

    cf

    40-45

    4

    4

    45-50

    4

    8

    50-55

    13

    21

    55-60

    5

    26

    60-65

    6

    32

    65-70

    5

    37

    70-75

    2

    39

    75-80

    1

    40

    Question:10

    The following table shows the cumulative frequency distribution of marks of 800 students in an examination:

    Marks

    Number of students

    Below 10
    Below 20
    Below 30
    Below 40
    Below 50
    Below 60
    Below 70
    Below 80
    Below 90
    Below 100

    10
    50
    130
    270
    440
    570
    670
    740
    780
    800

    Construct a frequency distribution table for the data above.

    Answer:

    Solution. Frequency distribution: It tells how frequencies are distributed over values in a
    frequency distribution. However mostly we use frequency distribution to summarize categorical variables.

    Marks

    cf

    f

    0-10

    10

    10

    10-20

    50

    50-10=40

    20-30

    130

    130-50=80

    30-40

    270

    270-130=140

    40-50

    440

    440-270=170

    50-60

    570

    570-440=130

    60-70

    670

    670-570=100

    70-80

    740

    740-670=70

    80-90

    780

    780-740=40

    90-100

    800

    800-780=20

    Question:11

    Form the frequency distribution table from the following data :

    Marks (out of 90)

    Number of candidates

    More than or equal to 80
    More than or equal to 70
    More than or equal to 60
    More than or equal to 50
    More than or equal to 40
    More than or equal to 30
    More than or equal to 20
    More than or equal to 10
    More than or equal to 0

    4
    6
    11
    17
    23
    27
    30
    32
    34

    Answer:

    Solution. Frequency distribution: It tells how frequencies are distributed over values in a frequency distribution. However mostly we use frequency distribution to summarize categorical variables.

    class

    f

    0-10

    34-32=2

    10-20

    32-30=2

    20-30

    30-27=3

    30-40

    27-23=4

    40-50

    23-17=6

    50-60

    17-11=6

    60-70

    11-6=5

    70-80

    6-4-=2

    80-90

    4

    Question:12

    Find the unknown entries a, b, c, d, e, f in the following distribution of heights of students in a class :

    Height (in cm)

    Frequency

    Cumulative frequency

    150-155
    155-160
    160-165
    165-170
    170-175
    175-180

    12
    b
    10
    d
    e
    2

    a
    25
    c
    43
    48
    f

    Total

    50



    Answer:

    Solution. Frequency distribution: It tells how frequencies are distributed overvalues in a frequency distribution. However mostly we use frequency distribution to
    summarize categorical variables.
    a= 12 ( because first term of frequency and cumulative frequency is same )
    12 + b = 25
    b = 25 – 12
    b = 13

    25 + 10 = c
    35= c
    c + d = 43
    35 + d = 43
    d = 43 – 35
    d=8

    43 + e = 48
    e = 48 – 43
    e =5
    48+2 = f
    50 = f
    Ans. a = 12, b = 13, c = 35, d = 8, e = 5, f = 50

    Question:13

    The following are the ages of 300 patients getting medical treatment in a hospital on a particular day :

    Age (in yeras)

    10-20

    20-30

    30-40

    40-50

    50-60

    60-70

    Number of patients

    60

    42

    55

    70

    53

    20

    (i) Less than type cumulative frequency distribution.
    (ii) More than type cumulative frequency distribution

    Answer:

    Solution. Frequency distribution: It tells how frequencies are distributed overvalues in a frequency distribution. However mostly we use frequency distribution to summarize categorical variables.

    Age (in year)

    No.of patients

    less than 10

    0

    less than 20

    60+0 = 60

    less than 30

    42+60 = 102

    less than 40

    102+55 =157

    less than 50

    157+70 = 227

    less than 60

    227+53 =280

    less than 70

    280 +20 =300

    Age (in year)

    No.of patients

    More than or equal to 10
    More than or equal to 20
    More than or equal to 30
    More than or equal to 40
    More than or equal to 50
    More than or equal to 60

    60+42+55+70+53+20 = 300
    42+55+70+53+20 = 240
    55+70+53+20= 198
    70+53+20 = 143
    53+20 = 73
    20








    Question:14

    Given below is a cumulative frequency distribution showing the marks secured by 50 students of a class :

    Marks

    Below 20

    Below 40

    Below 60

    Below 80

    Below 100

    Number of students

    17

    22

    29

    37

    50

    Form the frequency distribution table for the data

    Answer:

    Solution. Frequency distribution: It tells how frequencies are distributed overvalues in a frequency distribution. However mostly we use frequency distribution to summarize categorical variables.

    Marks

    Number of students CF

    f

    0- 20

    17

    17

    20- 40

    22

    22-17 = 5

    40- 60

    29

    29 -22 = 7

    60- 80

    37

    37-29 = 8

    80-100

    50

    50 -37 = 13

    Question:15

    Weekly income of 600 families is tabulated below :

    Weekly income (in Rs)

    Number of families

    0-1000
    1000-2000
    2000-3000
    3000-4000
    4000-5000
    5000-6000

    250
    190
    100
    40
    15
    5

    Total

    600

    Compute the median income.

    Answer:

    Answer. [1263.15]
    Solution. n = 600
    \frac{n}{2}= \frac{600}{2}= 300
    l\iota= 1000, l = 1000, cf = 250, f = 190
    median = \iota +\left ( \frac{\frac{n}{2}-cf}{f} \right )\times h
    = 1000+\frac{\left ( 300-250 \right )}{190}\times 1000
    = 1000+\frac{50}{190}\times 1000
    = 1000+\frac{5000}{19}
    = \frac{19000+5000}{19}= \frac{24000}{19}= 1263\cdot 15
    Median = 1263.15

    Question:16

    The maximum bowling speeds, in km per hour, of 33 players at a cricket coaching centre are given as follows :

    Speed (km/h)

    85-100

    100-115

    115-130

    130-145

    Number of players

    11

    9

    8

    5

    Calculate the median bowling speed.

    Answer:

    Answer. [109.16]
    Solution.
    Here n = 33
    \frac{n}{2}= \frac{33}{2}= 16\cdot 5
    \iota = 100
    h = 15, f = 9 , cf = 11
    Median = \iota +\left ( \frac{\frac{n}{2}-cf}{f} \right )\times h
    =100+\frac{\left ( 16\cdot 5-11 \right )\times 15}{9}
    =100+\left ( \frac{55}{10\times 9} \right )\times 15
    =100+\frac{55\times 5}{30}
    =100+\frac{275}{30}
    = 100 + 9.16 \Rightarrow 109.16

    Question:17

    The monthly income of 100 families are given as below :

    Income (in Rs)

    Number of families

    0-5000
    5000-10000
    10000-15000
    15000-20000
    20000-25000
    25000-30000
    30000-35000
    35000-40000

    8
    26
    41
    16
    3
    3
    2
    1


    Calculate the modal income.

    Answer:

    Answer. [11875]
    Solution. Here l = 10000, f1 = 41, f0 = 26, f2 = 16, h = 5000
    Mode = \iota +\left ( \frac{f_{1}-f_{0}}{2f_{1}-f_{0}-f_{2}} \right )\times h
    =1000+\left ( \frac{41-26}{2\times 41-26-16} \right )\times 5000
    =1000+\frac{15}{40}\times 5000
    = 10000 + 1875 = 11875
    Modal income is 11875 Rs.

    Question:18

    The weight of coffee in 70 packets are shown in the following table :

    Weight (in g)

    Number of packets

    200-201
    201-202
    202-203
    203-204
    204-205
    205-206

    12
    26
    20
    9
    2
    1

    Determine the modal weight.

    Answer:

    Answer. [201.7 g]
    Solution.
    Here l = 201, f1 = 26, f0 = 12, f2 = 20, h = 1
    \Rightarrow 201+\left ( \frac{26-12}{2\times 26-12-20} \right )\times 1
    \Rightarrow 201+\left ( \frac{14}{52-32} \right )
    \Rightarrow 201+\frac{14}{20}
    \Rightarrow 201+0\cdot 7= 201\cdot 7 g

    Question:19

    Two dice are thrown at the same time.
    (i) Find the probability of getting same number on both dice.
    (ii) Find the probability of getting different numbers on both dice.

    Answer:

    Solution. Probability ; probability means possibility. It is a branch of mathematics that deals with the occurrence of a random event. The value is expressed from zero to one
    Total number of cases after thrown of two dice = 36
    (i) Same number = (1, 1), (2, 2), (3, 3), (4. 4), (5, 5), (6, 6)
    Same number cases = 6
    Let A be the event of getting same number.
    Probability [p(A)] = \frac{Number\, of\, favourable\ cases }{Total\, number\, of\, cases}
    p\left ( A \right )= \frac{6}{36}= \frac{1}{6}
    (ii) Different number cases = 36 – same number case
    = 36 –6 = 30
    Let A be the event of getting different number
    Probability [p(A)]= \frac{Number\, of\, favourable\ cases }{Total\, number\, of\, cases}
    p\left ( A \right )= \frac{30}{36}= \frac{5}{6}

    Question:20

    Two dice are thrown simultaneously. What is the probability that the sum of the numbers appearing on the dice is
    (i) 7?
    (ii) a prime number?
    (iii) 1?

    Answer:

    (i) Answer. [1/6]
    Solution. Probability ; probability means possibility. It is a branch of mathematics that deals with the occurrence of a random event. The value is expressed from zero to one
    Total cases after throwing of two dice = 36
    Cases when total is 7 = (1, 6), (6, 1), (3, 4), (4, 3), (2, 5), (5, 2)
    Total cases = 6
    Let A be the event of getting total 7
    Probability [p(A)]= \frac{Number\, of\, favourable\ cases }{Total\, number\, of\, cases}
    Probability of getting sum 7 = \frac{6}{36}= \frac{1}{6}

    (ii) Answer. [5/12]
    Solution. Probability ; probability means possibility. It is a branch of mathematics that deals with the occurrence of a random event. The value is expressed from zero to one
    Total cases = 36
    Prime number as a sum = (1, 1), (1, 2), (2, 1), (1, 4),
    (4, 1), (2, 3), (3, 2), (1, 6), (6, 1), (3, 4), (4, 3), (2, 5), (5, 2), (6, 5), (5, 6)
    Cases = 15
    Probability = \frac{Number\, of\, favourable\ cases }{Total\, number\, of\, cases}
    Probability that sum is a prime number = \frac{15}{36}= \frac{5}{12}
    (iii) Answer. [0]
    Solution. Probability ; probability means possibility. It is a branch of mathematics that deals with the occurrence of a random event. The value is expressed from zero to one
    Total cases = 36
    pairs from which we get sum 1 = 0
    Cases = 0
    Probability = \frac{Number\, of\, favourable\ cases }{Total\, number\, of\, cases}
    Probability of getting sum 1 = \frac{0}{36}= 0

    Question:21

    Two dice are thrown together. Find the probability that the product of the numbers on the top of the dice is
    (i) 6
    (ii) 12
    (iii) 7

    Answer:

    (i) Answer. [1/9]
    Solution. Probability ; probability means possibility. It is a branch of mathematics that deals with the occurrence of a random event. The value is expressed from zero to one
    Total cases = 36
    For getting product 6 = (1, 6,), (6, 1), (2, 3), (3, 2)
    Cases = 4
    Probability = \frac{Number\, of\, favourable\ cases }{Total\, number\, of\, cases}
    Probability of getting product 6 =\frac{4}{36}= \frac{1}{9}

    (ii) Answer. [1/9]
    Solution. Probability ; probability means possibility. It is a branch of mathematics that deals with the occurrence of a random event. The value is expressed from zero to one
    Total cases = 36
    product 12 = (2, 6), (6, 2), (3, 4), (4, 3)
    Cases = 4
    Probability = \frac{Number\, of\, favourable\ cases }{Total\, number\, of\, cases}
    Probability of getting product 12 =\frac{4}{36}= \frac{1}{9}

    (iii) Answer. [0]
    Solution. Probability ; probability means possibility. It is a branch of mathematics that deals with the occurrence of a random event. The value is expressed from zero to one
    Total cases = 36
    Product 7 = 0 (case)
    Cases = 0
    Probability = \frac{Number\, of\, favourable\ cases }{Total\, number\, of\, cases}
    Probability of getting product 7 =\frac{0}{36}= 0

    Question:22

    Two dice are thrown at the same time and the product of numbers appearing on them is noted. Find the probability that the product is less than 9.

    Answer:

    Answer. [4/9]
    Solution. Probability; Probability means possibility. It is a branch of mathematics that deals with the occurrence of a random event. The value is expressed from zero to one
    Total cases in throwing two dice = 36
    Product less than 9 cases = (1, 1). (1, 2), (1, 3), (1, 4), (1, 5), (1, 6), (2, 1), (2, 2), (2, 3), (2, 4), (3, 1), (3, 2), (4, 1), (4, 2), (5, 1), (6, 1)
    Number of favourable cases = 16
    Probability = \frac{Number\, of\, favourable\ cases }{Total\, number\, of\, cases}
    Probability of getting product less than 9 = \frac{16}{36}= \frac{4}{9}

    Question:23

    Two dice are numbered 1, 2, 3, 4, 5, 6 and 1, 1, 2, 2, 3, 3, respectively. They are thrown and the sum of the numbers on them is noted. Find the probability of getting each sum from 2 to 9 separately.

    Answer:

    Solution. Probability; Probability means possibility. It is a branch of mathematics that deals with the occurrence of a random event. The value is expressed from zero to one
    Total number of cases = 36
    case of getting sum 2 = ( 1 , 1 ) ( 1 , 1 )
    Probability = \frac{Number\, of\, favourable\ cases }{Total\, number\, of\, cases}
    Probability of getting sum 2 = \frac{2}{36}= \frac{1}{18}
    case of getting sum 3 = (1, 2), (1, 2), (2, 1), (2, 1)
    Probability = \frac{Number\, of\, favourable\ cases }{Total\, number\, of\, cases}
    Probability of getting sum 3= \frac{4}{36}= \frac{1}{9}
    case of getting sum 4 = (1, 3), (1, 3), (2, 2), (2, 2), (3, 1), (3, 1)
    Probability = \frac{Number\, of\, favourable\ cases }{Total\, number\, of\, cases}
    Probability of getting sum 4= \frac{6}{36}= \frac{1}{6}
    case of getting sum 5 = (2, 3), (2, 3), (4, 1),(4,1) (3, 2), (3, 2)
    Probability = \frac{Number\, of\, favourable\ cases }{Total\, number\, of\, cases}
    Probability of getting sum 5 = \frac{6}{36}= \frac{1}{6}
    case of getting sum 6 = (3, 3), (3, 3), (4, 2), (4, 2), (5, 1), (5, 1)
    probability = \frac{Number\, of\, favourable\ cases }{Total\, number\, of\, cases}
    Probability of getting sum 6= \frac{6}{36}= \frac{1}{6}
    case of getting sum 7 = (4, 3), (4, 3), (5, 2), (5, 2), (6, 1), (6, 1)
    probability = \frac{Number\, of\, favourable\ cases }{Total\, number\, of\, cases}
    Probability of getting sum 7= \frac{6}{36}= \frac{1}{6}
    case of getting sum 8 = (5, 3), (5, 3), (6, 2), (6, 2)
    probability = \frac{Number\, of\, favourable\ cases }{Total\, number\, of\, cases}
    Probability of getting sum 8= \frac{4}{36}= \frac{1}{9}
    case of getting sum 9 = (6, 3), (6, 3)
    probability = \frac{Number\, of\, favourable\ cases }{Total\, number\, of\, cases}
    Probability of getting sum 9= \frac{2}{36}= \frac{1}{18}

    Question:24

    A coin is tossed two times. Find the probability of getting at most one head.

    Answer:

    Answer. [3/4]
    Solution. Probability; Probability means possibility. It is a branch of mathematics that deals with the occurrence of a random event. The value is expressed from zero to one
    Total cases = 4 (HH, TT, HT, TH)
    Cases of at most 1 head = HT, TH, TT
    Probability = \frac{Number\, of\, favourable\ cases }{Total\, number\, of\, cases}
    Probability of getting at most 1 head = \frac{3}{4}

    Question:25

    A coin is tossed 3 times. List the possible outcomes. Find the probability of getting
    (i) all heads
    (ii) at least 2 heads

    Answer:

    (i) Answer. [1/8]
    Solution. Probability; Probability means possibility. It is a branch of mathematics that deals with the occurrence of a random event. The value is expressed from zero to one.
    Possible outcomes = (HHH, HHT, HTH, THH, TTT, TTH, THT, HTT)
    Total cases = 8
    Cases of getting all heads = (HHH)
    Number of favourable cases = 1
    Probability = \frac{Number\, of\, favourable\ cases }{Total\, number\, of\, cases}
    Probability of getting all heads = \frac{1}{8}

    (ii) Answer.[1/2]
    Solution. Probability; Probability means possibility. It is a branch of mathematics that deals with the occurrence of a random event. The value is expressed from zero to one.
    Possible outcomes = 8 (HHH, HHT, HTH, THH, TTT, TTH, THT, HTT)
    Cases of getting at least 2 heads = (HHH, HHT, HTH, THH)
    Favorable cases = 4
    Probability = \frac{Number\, of\, favourable\ cases }{Total\, number\, of\, cases}
    Probability of getting at least 2 heads = \frac{4}{8}= \frac{1}{2}

    Question:26

    Two dice are thrown at the same time. Determine the probability that the difference of the numbers on the two dice is 2.

    Answer:

    Answer. [2/9]
    Solution. Probability; Probability means possibility. It is a branch of mathematics that deals with the occurrence of a random event. The value is expressed from zero to one
    Cases of getting difference 2 = (1, 3), (3, 1), (2, 4), (4, 2), (3, 5), (5, 3), (4, 6), (6, 4)
    Favourable cases = 8
    Probability = \frac{Number\, of\, favourable\ cases }{Total\, number\, of\, cases}
    Probability of getting difference 2 = \frac{8}{36}= \frac{2}{9}

    Question:27

    A bag contains 10 red, 5 blue and 7 green balls. A ball is drawn at random. Find the probability of this ball being a
    (i) red ball
    (ii) green ball
    (iii) not a blue ball

    Answer:

    (i) Answer. [5/11]
    Solution. Probability; Probability means possibility. It is a branch of mathematics that deals with the occurrence of a random event. The value is expressed from zero to one
    Total balls = 10 + 5 + 7 = 22
    Red balls = 10
    Probability = \frac{Number\, of\, favourable\ cases }{Total\, number\, of\, cases}
    Probability of getting red ball = \frac{10}{22}= \frac{5}{11}

    (ii) Answer. [7/22]
    Solution. Probability; Probability means possibility. It is a branch of mathematics that deals with the occurrence of a random event. The value is expressed from zero to one
    Total balls = 10 + 5 + 7 = 22
    Green balls = 7
    Probability = \frac{Number\, of\, favourable\ cases }{Total\, number\, of\, cases}
    Probability of getting green ball = \frac{7}{22}

    (iii) Answer. [17/22]
    Solution. Probability; Probability means possibility. It is a branch of mathematics that deals with the occurrence of a random event. The value is expressed from zero to one
    Total balls = 10 + 5 + 7 = 22
    Not a blue ball = 22 – (blue ball)
    = 22 – 5 = 17
    robability = \frac{Number\, of\, favourable\ cases }{Total\, number\, of\, cases}
    Probability of getting not a blue ball = \frac{17}{22}

    Question:28

    The king, queen and jack of clubs are removed from a deck of 52 playing cards and then well shuffled. Now one card is drawn at random from the remaining cards. Determine the probability that the card is
    (i) a heart
    (ii) a king

    Answer:

    (i) Answer. [13/49]
    Solution. Probability; Probability means possibility. It is a branch of mathematics that deals with the occurrence of a random event. The value is expressed from zero to one
    Total cards = 52 – 3 ( three cards are removed)
    = 49
    Total hearts = 13
    Favourable cases = 13
    Probability = \frac{Number\, of\, favourable\ cases }{Total\, number\, of\, cases}
    Probability of getting a heart = \frac{13}{49}

    (ii) Answer. [3/49]
    Solution. Probability; Probability means possibility. It is a branch of mathematics that deals with the occurrence of a random event. The value is expressed from zero to one
    Total cards = 52 – 3 ( three cards are removed)
    = 49
    Total king = 4 – 1 = 3 ( 1 king is removed)
    favourable cases = 3
    bability = \frac{Number\, of\, favourable\ cases }{Total\, number\, of\, cases}
    Probability of getting a King= \frac{3}{49}

    Question:29

    The king, queen and jack of clubs are removed from a deck of 52 playing cards and then well shuffled. Now one card is drawn at random from the remaining cards. What is the probability that the card is
    (i) a club
    (ii) 10 of hearts

    Answer:

    (i) Answer. [10/49]
    Solution. Probability; Probability means possibility. It is a branch of mathematics that deals with the occurrence of a random event. The value is expressed from zero to one
    Total cards = 52 – 3 = 49 ( three cards are removed)
    Total club = 13 – 3 = 10 ( 3 club cards are removed)
    favourable cases = 10
    Probability = \frac{Number\, of\, favourable\ cases }{Total\, number\, of\, cases}
    Probability of getting a club = \frac{10}{49}

    (ii) Answer. [1/49]
    Solution. Probability; Probability means possibility. It is a branch of mathematics that deals with the occurrence of a random event. The value is expressed from zero to one
    Total cards = 52 – 3 = 49 ( three cards are removed)
    10 of heart = 1
    favourable cases = 1
    Probability = \frac{Number\, of\, favourable\ cases }{Total\, number\, of\, cases}
    Probability of getting a heart = \frac{1}{49}

    Question:30

    All the jacks, queens and kings are removed from a deck of 52 playing cards. The remaining cards are well shuffled and then one card is drawn at random. Giving ace a value 1 similar value for other cards, find the probability that the card has a value
    (i) 7
    (ii) greater than 7
    (iii) less than 7

    Answer:

    (i) Answer. [1/10]
    Solution. Probability; Probability means possibility. It is a branch of mathematics that deals with the occurrence of a random event. The value is expressed from zero to one
    Total cards = 52 – 12 = 40 ( 12 cards are removed)
    card with number 7 = 4
    favourable cases = 4
    probability = \frac{Number\, of\, favourable\ cases }{Total\, number\, of\, cases}
    Probability of getting card 7= \frac{4}{10}= \frac{1}{10}

    (ii) Answer. [3/10]
    Solution. Probability; Probability means possibility. It is a branch of mathematics that deals with the occurrence of a random event. The value is expressed from zero to one
    Total cards = 52 – 12 = 40 (\mathbb{Q} 12 cards are removed)
    Cards greater than 7 =8,9,10 (3 × 4 = 12)
    favourable cases = 12
    probability = \frac{Number\, of\, favourable\ cases }{Total\, number\, of\, cases}
    Probability of getting card 7= \frac{12}{40}= \frac{3}{10}
    (iii) Answer. [3/5]
    Solution. Probability; Probability means possibility. It is a branch of mathematics that deals with the occurrence of a random event. The value is expressed from zero to one
    Total cards = 52 – 12 = 40 (\because 12 cards are removed)
    Cards less than 7 = 1, 2, 3, 4, 5, 6 (6 × 4 = 24)
    favourable cases = 24
    probability = \frac{Number\, of\, favourable\ cases }{Total\, number\, of\, cases}
    Probability of getting card 7= \frac{24}{40}= \frac{6}{10}= \frac{3}{5}

    Question:31

    An integer is chosen between 0 and 100. What is the probability that it is
    (i) divisible by 7 ?
    (ii) not divisible by 7?

    Answer:

    (i) Answer. [14/99]
    Solution. Probability; Probability means possibility. It is a branch of mathematics that deals with the occurrence of a random event. The value is expressed from zero to one
    Total number = 99 (between 0 to 100)
    Number divisible by 7 = (7, 14, 21, 28,35, 42, 49, 56, 63, 70, 77, 84, 91, 98)
    Favourable cases = 14
    Probability = \frac{Number\, of\, favourable\ cases }{Total\, number\, of\, cases}
    Probability of getting number divisible by 7 = \frac{14}{99}

    (ii) Answer. [85/99]
    Solution. Probability; Probability means possibility. It is a branch of mathematics that deals with the occurrence of a random event. The value is expressed from zero to one
    Total number between 0 to 100 = 99
    Number divisible by 7 = (7, 14, 21, 28,35, 42, 49, 56, 63, 70, 77, 84, 91, 98)
    Favourable cases = 14
    robability = \frac{Number\, of\, favourable\ cases }{Total\, number\, of\, cases}
    Probability of getting number divisible by 7 = \frac{14}{99}
    = 1-\frac{14}{99}
    = \frac{99-14}{99}= \frac{85}{99}

    Question:32

    Cards with numbers 2 to 101 are placed in a box. A card is selected at random. Find the probability that the card has
    (i) an even number
    (ii) a square number

    Answer:

    (i) Answer. [1/2]
    Solution. Probability; Probability means possibility. It is a branch of mathematics that deals with the occurrence of a random event. The value is expressed from zero to one
    Total numbers from 2 to 101 = 100
    Total even numbers from 2 to 101 = 50
    Favourable cases = 50
    Probability = \frac{Number\, of\, favourable\ cases }{Total\, number\, of\, cases}
    Probability that card is with even number = \frac{50}{100}= \frac{1}{2}

    (ii) Answer. [9/100]
    Solution. Probability; Probability means possibility. It is a branch of mathematics that deals with the occurrence of a random event. The value is expressed from zero to one
    Total number from 2 to 101 = 100
    Square numbers from 2 to 101 = (4, 9, 16, 25, 36, 49, 64, 81, 100)
    Favourable cases = 9
    Probability = \frac{Number\, of\, favourable\ cases }{Total\, number\, of\, cases}
    Probability that the card is with a square number = \frac{9}{100}

    Question:33

    A letter of English alphabets is chosen at random. Determine the probability that the letter is a consonant.

    Answer:

    Answer. [21/26]
    Solution. Probability; Probability means possibility. It is a branch of mathematics that deals with the occurrence of a random event. The value is expressed from zero to one
    Total alphabets = 26
    Total consonant = 21
    Favourable cases = 21
    Probability = \frac{Number\, of\, favourable\ cases }{Total\, number\, of\, cases}
    Probability that alphabet is consonant = \frac{21}{26}

    Question:34

    There are 1000 sealed envelopes in a box, 10 of them contain a cash prize of Rs 100 each, 100 of them contain a cash prize of Rs 50 each and 200 of them contain a cash prize of Rs 10 each and rest do not contain any cash prize. If they are well shuffled and an envelope is picked up out, what is the probability that it contains no cash prize ?

    Answer:

    Answer. [0.69]
    Solution. Probability; Probability means possibility. It is a branch of mathematics that deals with the occurrence of a random event. The value is expressed from zero to one
    Total envelopes = 1000
    Envelopes with no cash prize = Total envelopes – envelopes with cash prize
    = 1000 – 10 – 100 – 200 = 690
    Favourable cases = 690
    Probability = \frac{Number\, of\, favourable\ cases }{Total\, number\, of\, cases}
    Probability that the envelope is no cash prize = \frac{690}{1000}= \frac{69}{100}= 0\cdot 69

    Question:35

    Box A contains 25 slips of which 19 are marked Rs 1 and other are marked Rs 5 each. Box B contains 50 slips of which 45 are marked Rs 1 each and others are marked Rs 13 each. Slips of both boxes are poured into a third box and reshuffled. A slip is drawn at random. What is the probability that it is marked other than Rs 1 ?

    Answer:

    Answer. [11/75]
    Solution. Probability; Probability means possibility. It is a branch of mathematics that deals with the occurrence of a random event. The value is expressed from zero to one
    Total slips = 25 + 50 = 75
    Slips marked other than 1 = Rs. 5 slips + Rs. 13 slips
    = 6 + 5 = 11
    Favourable cases = 11
    Probability = \frac{Number\, of\, favourable\ cases }{Total\, number\, of\, cases}
    Probability that slips is not marked 1 = \frac{11}{75}

    Question:36

    A carton of 24 bulbs contain 6 defective bulbs. One bulbs is drawn at random. What is the probability that the bulb is not defective? If the bulb selected is defective and it is not replaced and a second bulb is selected at random from the rest, what is the probability that the second bulb is defective?

    Answer:

    Answer. [5/23]
    Solution. Probability; Probability means possibility. It is a branch of mathematics that deals with the occurrence of a random event. The value is expressed from zero to one
    Total bulbs = 24
    Defective = 6
    not defective = 18
    Probability that the bulb is not defective = \frac{18}{24}= \frac{3}{4}
    Let the bulbs is defective and it is removed from 24 bulb.
    Now bulbs remain = 23
    In 23 bulbs, non-defective bulbs = 18
    defective = 5
    Probability = \frac{Number\, of\, favourable\ cases }{Total\, number\, of\, cases}
    Now probability that the bulb is defective = \frac{5}{23} .

    Question:37

    A child’s game has 8 triangles of which 3 are blue and rest are red, and 10 squares of which 6 are blue and rest are red. One piece is lost at random. Find the probability that it is a
    (i) triangle
    (ii) square
    (iii) square of blue colour
    (iv) triangle of red colour

    Answer:

    (i) Answer. [4/9]
    Solution. Probability; Probability means possibility. It is a branch of mathematics that deals with the occurrence of a random event. The value is expressed from zero to one
    Total piece = 8 + 10 = 18
    Total triangles = 8
    Favourable cases = 8
    Probability = \frac{Number\, of\, favourable\ cases }{Total\, number\, of\, cases}
    Probability that piece is a triangle = \frac{8}{18}= \frac{4}{9}

    (ii) Answer. [5/9]
    Solution. Probability; Probability means possibility. It is a branch of mathematics that deals with the occurrence of a random event. The value is expressed from zero to one
    Total piece = 8 + 10 = 18
    Total square = 10
    Favourable cases = 10
    Probability = \frac{Number\, of\, favourable\ cases }{Total\, number\, of\, cases}
    Probability that the piece is a square = \frac{10}{18}= \frac{5}{9}

    (iii) Answer. [1/3]
    Solution. Probability; Probability means possibility. It is a branch of mathematics that deals with the occurrence of a random event. The value is expressed from zero to one
    Total piece = 10 + 8 = 18
    Square of blue color = 6
    favourable cases = 6
    Probability = \frac{Number\, of\, favourable\ cases }{Total\, number\, of\, cases}
    Probability that piece is a square of blue color = \frac{6}{18}= \frac{1}{3}

    (iv) Answer. [5/18]
    Solution. Probability; Probability means possibility. It is a branch of mathematics that deals with the occurrence of a random event. The value is expressed from zero to one
    Total piece = 10 + 8 = 18
    triangle of red color = 8 – 3 = 5
    favourable cases = 5
    Probability = \frac{Number\, of\, favourable\ cases }{Total\, number\, of\, cases}
    Probability that piece is a triangle of red colour = \frac{5}{18}

    Question:38

    In a game, the entry fee is Rs 5. The game consists of a tossing a coin 3 times. If one or two heads show, Shweta gets her entry fee back. If she throws 3 heads, she receives double the entry fees. Otherwise she will lose. For tossing a coin three times, find the probability that she
    (i) loses the entry fee.
    (ii) gets double entry fee.
    (iii) just gets her entry fee.

    Answer:

    (i) Answer. [1/8]
    Solution. Probability; Probability means possibility. It is a branch of mathematics that deals with the occurrence of a random event. The value is expressed from zero to one
    Total cases = 8(HHH, HHT, HTH, THH, TTT, TTH, THT, HTT)
    case in which the lose entry = 8 – (in which she gets entry book + in which she gets double)
    = 8 – 6 (HHT, HTH, THH, TTH, THT, HTT) – 1(HHH)
    = 8 – 7 = 1
    Favourable cases = 1
    Probability = \frac{Number\, of\, favourable\ cases }{Total\, number\, of\, cases}
    Probability that she will lose money = \frac{1}{8}

    (ii) Answer. [1/8]
    Solution. Probability; Probability means possibility. It is a branch of mathematics that deals with the occurrence of a random event. The value is expressed from zero to one
    Total cases = 8(HHH, HHT, HTH, THH, TTT, TTH, THT, HTT)
    case in which she gets double entry = HHH
    favourable cases = 1
    Probability = \frac{Number\, of\, favourable\ cases }{Total\, number\, of\, cases}
    Probability that she gets double entry fee = \frac{1}{8}

    (iii) Answer. [3/4]
    Solution. Probability; Probability means possibility. It is a branch of mathematics that deals with the occurrence of a random event. The value is expressed from zero to one
    Total cases = 8(HHH, HHT, HTH, THH, TTT, TTH, THT, HTT)
    case in which she gets entry book = 6(HHT, HTH, THH, TTH, THT, HTT)
    favourable cases = 6
    Probability = \frac{Number\, of\, favourable\ cases }{Total\, number\, of\, cases}
    Probability that she gets entry fees = \frac{6}{8}= \frac{3}{4}

    Question:39

    A die has its six faces marked 0, 1, 1, 1, 6, 6. Two such dice are thrown together and the total score is recorded.
    (i) How many different scores are possible?
    (ii) What is the probability of getting a total of 7?

    Answer:

    (i) Answer. [6]
    Solution. Count the number of sums we can notice by using two dice of (0, 1, 1, 1, 6, 6) type.
    We can get a sum of 0 = (0,0)
    We can get a sum of 1 = (0,1) , (1,0)
    We can get a sum of 2 = (1,1)
    We can get a sum of 6 = (0,6) , (6,0)
    We can get a sum of 7 = (6,1) , (1,6)
    We can get a sum of 12 = (6,6)
    We can get a score of 0, 1, 2, 6, 7, 12
    Hence we can get 6 different scores.

    (ii) Answer. [4/9]
    Solution. Probability; Probability means possibility. It is a branch of mathematics that deals with the occurrence of a random event. The value is expressed from zero to one
    Total cases = 36
    Case of getting sum 7 = (1, 6), (1, 6), (1, 6), (1, 6), (1, 6), (1, 6), (6,1), ( 6,1), (6,1), ( 6,1), (6,1), (6,1),
    Number of favourable cases = 12
    Probability = \frac{Number\, of\, favourable\ cases }{Total\, number\, of\, cases}
    Probability of getting a total 7 = \frac{12}{36}= \frac{1}{3}

    Question:40

    A lot consists of 48 mobile phones of which 42 are good, 3 have only minor defects and 3 have major defects. Varnika will buy a phone if it is good but the trader will only buy a mobile if it has no major defect. One phone is selected at random from the lot. What is the probability that it is
    (i) acceptable to Varnika?
    (ii) acceptable to the trader?

    Answer:

    (i) Answer. [7/8]
    Solution. Probability; Probability means possibility. It is a branch of mathematics that deals with the occurrence of a random event. The value is expressed from zero to one
    Total mobiles = 48
    Minor defective = 3
    major defective = 3
    good = 42
    Varnika buy only good so favourable cases = 42
    Probability = \frac{Number\, of\, favourable\ cases }{Total\, number\, of\, cases}
    Probability that acceptable to Varnika = \frac{42}{48}= \frac{7}{8}
    (ii) Answer. [15/16]
    Solution. Probability; Probability means possibility. It is a branch of mathematics that deals with the occurrence of a random event. The value is expressed from zero to one
    total mobiles = 48
    good = 42
    minor defect = 3
    major defect = 3
    trader accept only good and minor defect.
    So favourable cases = 42 + 3 = 45
    Probability = \frac{Number\, of\, favourable\ cases }{Total\, number\, of\, cases}
    Probability that trader accept \frac{45}{48}= \frac{15}{16}

    Question:41

    A bag contains 24 balls of which x are red, 2x are white and 3x are blue. A ball is selected at random. What is the probability that it is
    (i) not red?
    (ii) white?

    Answer:

    (i) Answer. [5/6]
    Solution. Probability; Probability means possibility. It is a branch of mathematics that deals with the occurrence of a random event. The value is expressed from zero to one
    Total balls = red + white + blue
    24 = x + 2x + 3x
    6x = 24
    x = 4
    Red balls = x = 4
    White balls = 2x = 2 × 4 = 8
    Blue balls = 3x = 3 × 4 = 12
    Probability = \frac{Number\, of\, favourable\ cases }{Total\, number\, of\, cases}
    Probability that ball is not red = \frac{blue+white}{24}
    = \frac{8+12}{24}= \frac{20}{24}= \frac{5}{6}

    (ii) Answer. [1/3]
    Solution. Probability; Probability means possibility. It is a branch of mathematics that deals with the occurrence of a random event. The value is expressed from zero to one
    Total balls = red + white + blue
    24 = 6x
    x = 4
    white balls = 2x = 2 × 4 = 8
    Favourable cases = 8
    Probability = \frac{Number\, of\, favourable\ cases }{Total\, number\, of\, cases}
    Probability of getting on white ball = \frac{8}{24}= \frac{1}{3}

    Question:42

    At a fete, cards bearing numbers 1 to 1000, one number on one card, are put in a box. Each player selects one card at random and that card is not replaced. If the selected card has a perfect square greater than 500, the player wins a prize. What is the probability that
    (i) the first player wins a prize?
    (ii) the second player wins a prize, if the first has won?

    Answer:

    (i) Answer. [0.009]
    Solution. Probability; Probability means possibility. It is a branch of mathematics that deals with the occurrence of a random event. The value is expressed from zero to one
    Total cards = 1000
    Player wins prize with cards = (529, 576, 625, 676, 729, 784, 841, 900, 961)
    Favourable cases = 9
    Probability = \frac{Number\, of\, favourable\ cases }{Total\, number\, of\, cases}
    Probability that player wins = \frac{9}{1000}= 0\cdot 009

    (ii) Answer. [0.008]
    Solution. Probability; Probability means possibility. It is a branch of mathematics that deals with the occurrence of a random event. The value is expressed from zero to one
    Now the total cards are = 1000 – 1 = 999
    Now the total winning cards = 9 – 1 = 8
    Probability = \frac{Number\, of\, favourable\ cases }{Total\, number\, of\, cases}
    Probability that second player wins after first = \frac{8}{999}\approx 0\cdot 008

    Question:1

    Find the mean marks of students for the following distribution

    Marks

    Number of students

    0 and above
    10 and above
    20 and above
    30 and above
    40 and above
    50 and above
    60 and above
    70 and above
    80 and above
    90 and above
    100 and above

    80
    77
    72
    65
    55
    43
    28
    16
    10
    8
    0

    Answer:

    Answer. [51.75]
    Solution. Here we calculate mean by following the given steps:

    1. Find the mid point of each interval.

    2. Multiply the frequency of each interval by its mid point.

    3. Get the sum of all the frequencies (f) and sum of all the (fx)

    4. Now divide sum of (fx) by sum of (f)

      Marks

      xi

      cf

      fi

      fixi

      0-10

      5

      80

      80-77 = 3

      15

      10-20

      15

      77

      787-72 = 5

      75

      20-30

      25

      72

      72-65 =7

      175

      30-40

      35

      65

      65-55 = 10

      350

      40-50

      45

      55

      55-43 = 12

      540

      50-60

      55

      43

      43-28 = 15

      825

      60-70

      65

      28

      28-16 = 12

      780

      70-80

      75

      16

      16-10 =6

      450

      80-90

      85

      10

      10-8 = 2

      170

      90-100

      95

      8

      8-0 = 8

      760







      \sum f_{i}= 80

      \sum f_{i}x_{i}= 4140

      mean\left ( \bar{x} \right )= \frac{\sum f_{i}x_{i}}{\sum f_{i}}= \frac{4140}{80}= 51\cdot 75

    Question:2

    Determine the mean of the following distribution :

    Marks

    Number of students

    Below 10
    Below 20
    Below 30
    Below 40
    Below 50
    Below 60
    Below 70
    Below 80
    Below 90
    Below 100

    5
    9
    17
    29
    45
    60
    70
    78
    83
    85

    Answer:

    Answer. [48.4]
    Solution. Here we calculate mean by following the given steps:

    1. Find the mid point of each interval.

    2. Multiply the frequency of each interval by its mid point.

    3. Get the sum of all the frequencies (f) and sum of all the (fx)

    4. Now divide sum of (fx) by sum of (f)

      Marks

      xi

      cf

      fi

      fixi

      0-10

      5

      5

      5

      15

      10-20

      15

      9

      9-5 =4

      75

      20-30

      25

      17

      17-9 = 8

      175

      30-40

      35

      29

      29-17 = 12

      350

      40-50

      45

      45

      45-29 = 16

      540

      50-60

      55

      60

      60-45 = 15

      825

      60-70

      65

      70

      70-60 = 10

      780

      70-80

      75

      78

      78-70 = 8

      450

      80-90

      85

      83

      83-78 = 5

      170

      90-100

      95

      85

      85-83 = 2

      760







      \sum f_{i}= 85

      \sum f_{i}x_{i}= 4115


      mean\left ( \bar{x} \right )= \frac{\sum f_{i}x_{i}}{\sum f_{i}}= \frac{4115}{85}= 48\cdot 4

    Question:3

    Find the mean age of 100 residents of a town from the following data :

    Age equal and above (in years)

    0

    10

    20

    30

    40

    50

    60

    70

    Number of Persons

    100

    90

    75

    50

    25

    15

    5

    0

    Answer:

    Answer. [31]
    Solution. Here we calculate mean by following the given steps:

    1. Find the mid point of each interval.

    2. Multiply the frequency of each interval by its mid point.

    3. Get the sum of all the frequencies (f) and sum of all the (fx)

    4. Now divide sum of (fx) by sum of (f)

      Marks

      xi

      fi

      0-10

      5

      100-90 =10

      50

      10-20

      15

      90-75 = 15

      225

      20-30

      25

      75-50 = 25

      625

      30-40

      35

      50-25 =25

      875

      40-50

      45

      25-15 =10

      450

      50-60

      55

      15-5 = 10

      550

      60-70

      65

      5-0 = 5

      325





      \sum f_{i}= 100

      \sum f_{i}x_{i}= 3100

      mean\left ( \bar{x} \right )= \frac{\sum f_{i}x_{i}}{\sum f_{i}}= \frac{3100}{100}= 31

    Question:4

    The weights of tea in 70 packets are shown in the following table :

    Weight (in gram)

    Number of packets

    200-201
    201-202
    202-203
    203-204
    204-205
    205-206

    13
    27
    18
    10
    1
    1

    Find the mean weight of packets.

    Answer:

    Answer. [201.95]
    Solution. Here we calculate mean by following the given steps:

    1. Find the mid point of each interval.

    2. Multiply the frequency of each interval by its mid point.

    3. Get the sum of all the frequencies (f) and sum of all the (fx)

    4. Now divide sum of (fx) by sum of (f)

      Weight

      xi

      fi

      fixi

      200-201

      200.5

      13

      2606.5

      201-202

      201.5

      27

      5440.5

      202-203

      202.5

      18

      3645.0

      203-204

      203.5

      10

      2035.0

      204-205

      204.5

      1

      204.5

      205-206

      205.5

      1

      205.5





      \sum f_{i}= 70

      \sum f_{i}x_{i}= 14137


      mean\left ( \bar{x} \right )= \frac{\sum f_{i}x_{i}}{\sum f_{i}}= \frac{14137}{70}= 201\cdot 95

    Question:5

    The weights of tea in 70 packets are shown in the following table :

    Weight (in gram)

    Number of packets

    200-201
    201-202
    202-203
    203-204
    204-205
    205-206

    13
    27
    18
    10
    1
    1

    Draw the less than type ogive for this data and use it to find the median weight.

    Answer:

    Answer. [201.8]
    Solution.

    Weight

    cf

    Less than 201

    13

    Less than 202

    27+13=40

    Less than 203

    40+18=58

    Less than 204

    58+10=68

    Less than 205

    68+1 =69

    Less than 206

    69+1 = 70


    n = 70,\frac{n}{2}= \frac{70}{2}= 35
    Hence the median is 201.8

    Question:6

    The weights of tea in 70 packets are shown in the following table :

    Weight (in gram)

    Number of packets

    200-201
    201-202
    202-203
    203-204
    204-205
    205-206

    13
    27
    18
    10
    1
    1

    Draw the less than type and more than type ogives for the data and use them to find the median weight.

    Answer:

    Answer. [201.8]
    Solution.

    Less than type

    More than type



    Weight

    Number of packets

    Number of packets

    Number of students

    Less than 200

    0

    More than or equal to 200

    70

    Less than 201

    13

    More than or equal to 201

    70-13 = 57

    Less than 202

    40

    More than or equal to 202

    57-27 =30

    Less than 203

    58

    More than or equal to 203

    30-18 =12

    Less than 204

    68

    More than or equal to 204

    12-10 = 2

    Less than 205

    69

    More than or equal to 205

    2-1 = 1

    Less than 206

    70

    More than or equal to 206

    1-1 = 0


    Here\, \, n = 70,\frac{n}{2}= \frac{70}{2}= 35
    Hence median = 201.8

    Question:7

    The table below shows the salaries of 280 persons.

    Salary(in thousand (Rs))

    Number of persons

    5-10
    10-15
    15-20
    20-25
    25-30
    30-35
    35-40
    40-45
    45-50

    49
    133
    63
    15
    6
    7
    4
    2
    1

    Calculate the median and mode of the data.

    Answer:

    Solution.

    Salary

    fi

    cf

    5-10

    49

    49

    10-15

    133

    49+133=182

    15-20

    63

    182+63=245

    20-25

    15

    245+15 = 260

    25-30

    6

    260+6 = 266

    30-35

    7

    266+7 = 273

    35-40

    4

    273+4 = 277

    40-45

    2

    277+2 = 279

    45-50

    1

    279+1 = 280

    n= 280,\frac{n}{2}= \frac{280}{2}= 140
    f1 = 49, fm= 133, f2= 63, cf = 49, f = 133
    l = 10, h = 5
    median = \iota +\frac{\left ( \frac{n}{2}-cf \right )}{f}\times h
    =10+\frac{\left ( 140-49 \right )}{133}\times 5
    =10+\frac{91\times 5}{133}
    =10+\frac{455}{133}= 10+3\cdot 421
    = 13\cdot 421
    In thousands = 13.421 × 1000 = 13421 Rs.
    Mode = \iota +\left [ \frac{f_{m}-f_{i}}{2f_{m}-f_{i}-f_{2}} \right ]\times h

    =10+\left [ \frac{133-49}{2\times 133-49-63} \right ]\times 5

    =10+\frac{84\times 5}{266-112}=10+\frac{84\times 5}{154}
    =10 + 2.727
    =12.727
    In thousands = 12.727 × 1000 = 12727 Rs.

    Question:8

    The mean of the following frequency distribution is 50, but the frequencies f1 and f2 in classes 20-40 and 60-80, respectively are not known. Find these frequencies, if the sum of all the frequencies is 120.

    Class

    0-20

    20-40

    40-60

    60-80

    80-100

    Frequency

    17

    fi

    32

    f2

    19

    Answer:

    Solution.

    Class

    (fi)

    xi

    \mu _{c}= \frac{\left ( x_{i}-a \right )}{h}

    fi\mu _{i}

    0-20

    17

    10

    -2

    -34

    20-40

    f1

    30

    -1

    -f1

    40-60

    32

    50=a

    0

    0

    60-80

    f2

    70

    1

    f2

    80-100

    19

    90

    2

    38



    \sum f_{i}= 68+f_{i}+f_{2}







    Sum of all frequencies = 120
    \Rightarrow68 + f1 + f2 = 120
    f1 + f2 = 52 …(1)
    a = 50, h = 20
    mean = a+\frac{\sum f_{i}{\mu _{i}}}{\sum f_{i}}\times h
    50= 50 + \frac{\left ( 4+f_{2}-f_{1} \right )\times 20}{20}
    0= (4 + f2 – f1)
    –f2 + f1 = 4 …(2)
    add (1) and (2) we get
    2f1 = 56 \Rightarrow f_{1}= 28
    Put f1 = 28 in equation (1)
    f2 = 52 – 28 \Rightarrow f_{2}= 24

    Question:9

    The median of the following data is 50. Find the values of p and q, if the sum of all the frequencies is 90.

    Marks

    Frequency

    20-30
    30-40
    40-50
    50-60
    60-70
    70-80
    80-90

    p
    15
    25
    20
    q
    8
    10

    Answer:

    Solution.

    marks

    Frequency

    Cummulative frequency

    20-30

    1

    p

    30-40

    15

    15+p

    40-50

    25

    40+p = cf

    50-60

    20=f

    60+p

    60-70

    q

    68+p+q

    70-80

    8

    68+p+q

    80-90

    10

    78+p+q

    n = 90, \frac{n}{2}= 45
    l = 50, f = 20, cf = 40 + p, h = 10
    median = l+\frac{\left ( \frac{n}{2}-cf \right )}{f}\times h
    50= 50+\frac{\left ( 45-40-p \right )}{20}\times 10
    0= \frac{5-p}{2}
    5 – p = 0
    p = 5
    78 + 5 + q = 90
    q = 90 – 83
    q = 7

    Question:10

    The distribution of heights (in cm) of 96 children is given below :


    Height (in cm)

    Number of children

    124-128
    128-132
    132-136
    136-140
    140-144
    144-148
    148-152
    152-156
    156-160
    160-164

    5
    8
    17
    24
    16
    12
    6
    4
    3
    1

    Draw a less than type cumulative frequency curve for this data and use it to compute median height of the children.

    Answer:

    Answer. [139]
    Solution.

    Height

    Number of children

    less than 124
    less than 128
    less than 132
    less than 136
    less than 140
    less than 144
    less than 148
    less than 152
    less than 156
    less than 160
    less than 164

    0
    5
    13
    30
    54
    70
    82
    88
    92
    95
    96


    \frac{n}{2}= \frac{96}{2}= 48
    Hence the median is = 139

    Question:11

    Size of agricultural holdings in a survey of 200 families is given in the following table:

    Size of agricultural holdings (in ha)

    Number of families

    0-5
    5-10
    10-15
    15-20
    20-25
    25-30
    30-35

    10
    15
    30
    80
    40
    20
    5

    Compute median and mode size of the holdings

    Answer:

    Answer. [17.77]
    Solution.
    mode= \iota +\left [ \frac{f_{m}-f_{1}}{2f_{m}-f_{1}-f_{2}} \right ]\times h

    Size of agricultural holdings

    fi

    cf

    0-5

    10

    10

    5-10

    15

    25

    10-15

    30

    55

    15-20

    80

    135

    20-25

    40

    175

    25-30

    20

    195

    30-35

    5

    200

    (i) Here n = 200
    \frac{n}{2}= \frac{200}{2}= 100 which lies in interval (15 – 20)
    l = 15, h = 5, f = 80 and cf = 55
    median = l+\frac{\left ( \frac{n}{2}-cf \right )}{4}\times h= 15+\frac{\left ( 100-55 \right )\times 5}{80}
    =15+\frac{45}{16}= 15+2\cdot 81= 17\cdot 81
    l = 15, fm = 80, f1 = 30, f2 = 40 and h = 5
    mode= \iota +\left [ \frac{f_{m}-f_{1}}{2f_{m}-f_{1}-f_{2}} \right ]\times h
    = 15+\left [ \frac{80-30}{2\times 80-30-40} \right ]\times 5
    = 15+\left [ \frac{50}{160-70} \right ]\times 5
    = 15+\left [ \frac{50}{90} \right ]\times 5
    =15+\frac{25}{9}
    =15 + 2.77 = 17.77

    Question:12

    The annual rainfall record of a city for 66 days is given in the following table.

    Rainfall (in cm)

    0-10

    10-20

    20-30

    30-40

    40-50

    50-60

    Number of days

    22

    10

    8

    15

    5

    6

    Calculate the median rainfall using ogives (of more than type and of less than type)

    Answer:

    Answer. [20]
    Solution.

    (i) less than type

    (ii) more than type

    Rain fall

    No.of days

    Rain fall

    Number of days

    less than 0

    0

    more than or equal to 0

    66

    less than 10

    0+22 = 22

    more than or equal to 10

    66-22 = 44

    less than 20

    22+10 = 32

    more than or equal to 20

    44-10 = 34

    less than 30

    32+8 = 40

    more than or equal to 30

    34-8 = 26

    less than 40

    40+15 = 55

    more than or equal to 40

    26-15 = 11

    less than 50

    55+5 =60

    more than or equal to 50

    11 - 5 =6

    less than 60

    60+6 =66

    more than or equal to 60

    6-6 =0

    Now let us draw ogives of more than type and of less than type then find the median

    N= 66,\frac{N}{2}= \frac{66}{2}= 33
    Here median is 20

    Question:13

    The following is the frequency distribution of duration for100 calls made on a mobile phone :

    Duration (in seconds)

    Number of calls

    95-125
    125-155
    155-185
    185-215
    215-245

    14
    22
    28
    21
    15

    Calculate the average duration (in sec) of a call and also find the median from cumulative frequency curve.

    Answer:

    Answer. [170]
    Solution.

    Duration

    fi

    xi

    u_{i}\frac{\left ( x_{i}-a \right )}{h}

    fiui

    95-125

    14

    110

    -2

    -28

    125-155

    22

    140

    -1

    -22

    155=185

    28

    170 = a

    0

    0

    185-215

    21

    200

    1

    21

    215-245

    21

    230

    2

    30



    \sum f_{i}= 100





    \sum f_{i}u_{i}= 1

    a = 170, h = 30
    Average = a+\frac{\sum f_{i}u_{i}}{\sum f_{i}}\times h= 170+\frac{1}{100}\times 30= 170+0\cdot 3= 170\cdot 3

    less than type

    Duration

    Number of calls

    less than 95
    less than 125
    less than 155
    less than 185
    less than 215
    less than 245

    0
    0+14 = 14
    14+22 =36
    36 + 28 = 64
    64 + 21 = 85
    85 + 15 =100


    n = 100
    \frac{n}{2}= \frac{100}{2}= 50
    median is 170

    Question:14

    50 students enter for a school javelin throw competition. The distance (in metres) thrown are recorded below :

    Distance (in m)

    0-20

    20-40

    40-60

    60-80

    80-100

    Number of students

    6

    11

    17

    12

    4

    (i) Construct a cumulative frequency table.
    (ii) Draw a cumulative frequency curve (less than type) and calculate the median distance thrown by using this curve.
    (iii) Calculate the median distance by using the formula for median.
    (iv) Are the median distance calculated in (ii) and (iii) same ?

    Answer:

    (i) Solution. Frequency distribution: It tells how frequencies are distributed over values in a frequency distribution. However mostly we use frequency distribution to summarize categorical variables.

    Distance

    fi

    CF

    0-20

    6

    6

    20-40

    11

    6+11 = 17

    40-60

    17

    17+17 = 34

    60-80

    12

    34 + 12 = 46

    80-100

    4

    46 + 4 =50

    (ii) Answer. [49.41]
    Solution. Frequency distribution: It tells how frequencies are distributed over values in a frequency distribution. However mostly we use frequency distribution to summarize categorical variables


    Distance

    Cumulative frequency (C.F)

    0
    less than 20
    less than 40
    less than 60
    less than 80
    less than 100

    0
    6
    17
    34
    46
    50

    n = 50
    \frac{n}{2}= \frac{50}{2}= 25

    median = 49.41

    (iii)Answer. [49.41]
    Solution. n = 50
    \frac{n}{2}= \frac{50}{2}= 25

    which lies in interval 40 – 60
    l = 40, h = 20, CF = 17 and f = 17
    median = l+\frac{\left ( \frac{n}{2}-cf \right )}{f}\times h
    =40+\frac{\left ( 25-17 \right )}{17}\times 20
    =40+\frac{8\times 20}{17}
    =40 + 9.41
    = 49.41

    (iv) Yes, the median distance calculated in (ii) and (iii) are same.

    NCERT Exemplar Solutions Class 10 Maths Chapter 13 Important Topics:

    NCERT exemplar Class 10 Maths solutions chapter 13 deals with a wide range of concepts mentioned below:

    • How to find out the central tendency is of any given data.
    • Methods to find out the mean of any group data.
    • The direct method, step deviation method and assumed mean method to find out the mean of any group data.
    • NCERT exemplar Class 10 Maths solutions chapter 13 discusses cumulative frequency distribution and its graphical representation.
    • How to find out the mode and median of the given data.
    • Different techniques to find out medians.
    • Conditional probabilities, independent events, and Bayes theorem.

    NCERT Class 10 Solutions for Other Subjects:

    NCERT Class 10 Maths Exemplar Solutions for Other Chapters:

    Features of NCERT Exemplar Class 10 Maths Solutions Chapter 13:

    These Class 10 Maths NCERT exemplar chapter 13 solutions emphasise the methods to find out mean, median, and mode. In this chapter, students will understand the experimental and statistical approach of probability. Students will learn the condition for multiplying probability to find out the probability of any composite event. Statistics and Probability based practice problems can be easily studied and practiced using these Class 10 Maths NCERT exemplar solutions chapter 13 Statistics and Probability.

    The students can comfortably sail through the NCERT Class 10 Maths, RD Sharma Class 10 Maths, A textbook for Mathematics by Monica Kapoor, and RS Aggarwal Class 10 Maths et cetera.

    Check Chapter-Wise Solutions of Book Questions

    Must, Read NCERT Solution Subject Wise

    Check NCERT Notes Subject Wise

    Also, Check NCERT Books and NCERT Syllabus here

    Frequently Asked Question (FAQs)

    1. Make a List of topics and sub-topics covered in Chapter 13 of NCERT Exemplar Solutions for Class 10 Maths.

    Below is a list of topics and subtopics covered in Chapter 13 of NCERT Exemplar Solutions for Class 10 Maths:

    1. Direct Method, Assumed Mean Method, and Step-Deviation Method for determining the mean of grouped data.
    2. Finding the mode of the given data.
    3. Calculating the median of grouped data.
    4. Graphical representation of cumulative frequency distribution.
    2. In Chapter 13 of NCERT Exemplar Solutions for Class 10 Maths, can you elucidate the concept of mean?

    The mean is the arithmetic average of a given set of values, signifying an equal distribution of values in the dataset. Central tendency refers to the statistical measure that identifies a single value to represent the entire distribution, providing an accurate description of the whole data. This value is unique and represents the collected data. Mean, median, and mode are the three frequently used measures of central tendency.

    3. What makes NCERT Exemplar Solutions for Class 10 Maths Chapter 13 advantageous for students to secure good grades in the board exam?

    The subject experts at CAreers360 have developed the NCERT Exemplar Solutions for Chapter 13 of Class 10 Maths, keeping in mind the learning abilities of students. The solution PDF module is downloadable from BYJU'S website according to the students' needs. All crucial concepts are explained in plain language to aid students in achieving exam success with confidence. The solutions cover all problems in the NCERT textbook, allowing students to cross-check their answers and identify their areas of weakness.

    4. Are these solutions accessible offline?

    Yes, the NCERT exemplar Class 10 Maths solutions chapter 13 pdf download feature provided this solution for students practicing NCERT exemplar Class 10 Maths chapter 13.

    5. List out the topics and sub-topics covered in Chapter 13 NCERT Exemplar Solutions for Class 10 Maths.

    Below is a list of the topics and sub-topics included in Chapter 13 of NCERT Exemplar Solutions for Class 10 Maths:

    1. Calculation of mean for grouped data using direct method, assumed mean method and step-deviation method
    2. Determination of mode for the given dataset
    3. Computation of median for grouped data
    4. Graphical representation of cumulative frequency distribution.

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    Questions related to CBSE Class 10th

    Have a question related to CBSE Class 10th ?

    The eligibility age criteria for class 10th CBSE is 14 years of age. Since your son will be 15 years of age in 2024, he will be eligible to give the exam.

    According to CBSE norms, a student must be 14 years old by the end of the year in which the exam will be held in order to sit for the 10th board exam. If your age is greater than 14, however, there are no limits. Therefore, based on your DOB, you will be 12 years and 6 months old by the end of December 2022. After the actual 16 June 2024, you'll be qualified to take your 10th board.

    Hello aspirant,

    Central Board Of Secondary Education(CBSE) is likely to declare class 10 and 12 terms 2 board result 2022 by July 15. The evaluation process is underway. Students are demanding good results and don't want to lack behind. They are requesting the board to use their best scores in Term 1 and Term 2 exams to prepare for the results.

    CBSE concluded board exams 2022 for 10, and 12 on June 15 and May 24. Exams for both classes began on April 26. A total of 35 lakh students including 21 lakh class 10 students and 14 lakh class 12 students appeared in exams and are awaiting their results.

    You can look for your results on websites- cbse.gov (//cbse.gov) .in, cbseresults.nic.in

    Thank you

    Sir, did you get any problem in result
    I have also done this same mistake in board 2023 exam
    Please reply because I am panic regarding this problem

    Hello SIR CBSE board 9th class admission 2022 Kara Raha hu entrance ki problem hai please show the Entrance for Baal vidya mandir school sambhal

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    A block of mass 0.50 kg is moving with a speed of 2.00 ms-1 on a smooth surface. It strikes another mass of 1.00 kg and then they move together as a single body. The energy loss during the collision is

    Option 1)

    0.34\; J

    Option 2)

    0.16\; J

    Option 3)

    1.00\; J

    Option 4)

    0.67\; J

    A person trying to lose weight by burning fat lifts a mass of 10 kg upto a height of 1 m 1000 times.  Assume that the potential energy lost each time he lowers the mass is dissipated.  How much fat will he use up considering the work done only when the weight is lifted up ?  Fat supplies 3.8×107 J of energy per kg which is converted to mechanical energy with a 20% efficiency rate.  Take g = 9.8 ms−2 :

    Option 1)

    2.45×10−3 kg

    Option 2)

     6.45×10−3 kg

    Option 3)

     9.89×10−3 kg

    Option 4)

    12.89×10−3 kg

     

    An athlete in the olympic games covers a distance of 100 m in 10 s. His kinetic energy can be estimated to be in the range

    Option 1)

    2,000 \; J - 5,000\; J

    Option 2)

    200 \, \, J - 500 \, \, J

    Option 3)

    2\times 10^{5}J-3\times 10^{5}J

    Option 4)

    20,000 \, \, J - 50,000 \, \, J

    A particle is projected at 600   to the horizontal with a kinetic energy K. The kinetic energy at the highest point

    Option 1)

    K/2\,

    Option 2)

    \; K\;

    Option 3)

    zero\;

    Option 4)

    K/4

    In the reaction,

    2Al_{(s)}+6HCL_{(aq)}\rightarrow 2Al^{3+}\, _{(aq)}+6Cl^{-}\, _{(aq)}+3H_{2(g)}

    Option 1)

    11.2\, L\, H_{2(g)}  at STP  is produced for every mole HCL_{(aq)}  consumed

    Option 2)

    6L\, HCl_{(aq)}  is consumed for ever 3L\, H_{2(g)}      produced

    Option 3)

    33.6 L\, H_{2(g)} is produced regardless of temperature and pressure for every mole Al that reacts

    Option 4)

    67.2\, L\, H_{2(g)} at STP is produced for every mole Al that reacts .

    How many moles of magnesium phosphate, Mg_{3}(PO_{4})_{2} will contain 0.25 mole of oxygen atoms?

    Option 1)

    0.02

    Option 2)

    3.125 × 10-2

    Option 3)

    1.25 × 10-2

    Option 4)

    2.5 × 10-2

    If we consider that 1/6, in place of 1/12, mass of carbon atom is taken to be the relative atomic mass unit, the mass of one mole of a substance will

    Option 1)

    decrease twice

    Option 2)

    increase two fold

    Option 3)

    remain unchanged

    Option 4)

    be a function of the molecular mass of the substance.

    With increase of temperature, which of these changes?

    Option 1)

    Molality

    Option 2)

    Weight fraction of solute

    Option 3)

    Fraction of solute present in water

    Option 4)

    Mole fraction.

    Number of atoms in 558.5 gram Fe (at. wt.of Fe = 55.85 g mol-1) is

    Option 1)

    twice that in 60 g carbon

    Option 2)

    6.023 × 1022

    Option 3)

    half that in 8 g He

    Option 4)

    558.5 × 6.023 × 1023

    A pulley of radius 2 m is rotated about its axis by a force F = (20t - 5t2) newton (where t is measured in seconds) applied tangentially. If the moment of inertia of the pulley about its axis of rotation is 10 kg m2 , the number of rotations made by the pulley before its direction of motion if reversed, is

    Option 1)

    less than 3

    Option 2)

    more than 3 but less than 6

    Option 3)

    more than 6 but less than 9

    Option 4)

    more than 9

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    Also Read: Career as Nurse

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    If you want to know more about talent agent meaning, how to become a Talent Agent, or Talent Agent job description then continue reading this article.

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    Resource Links for Online MBA 

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    An IT Consultant is a professional who is also known as a technology consultant. He or she is required to provide consultation to industrial and commercial clients to resolve business and IT problems and acquire optimum growth. An IT consultant can find work by signing up with an IT consultancy firm, or he or she can work on their own as independent contractors and select the projects he or she wants to work on.

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    A Data Architect role involves formulating the organisational data strategy. It involves data quality, flow of data within the organisation and security of data. The vision of Data Architect provides support to convert business requirements into technical requirements. 

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    The Security Engineer is responsible for overseeing and controlling the various aspects of a company's computer security. Individuals in the security engineer jobs include developing and implementing policies and procedures to protect the data and information of the organisation. In this article, we will discuss the security engineer job description, security engineer skills, security engineer course, and security engineer career path.

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    A UX Architect is someone who influences the design processes and its outcomes. He or she possesses a solid understanding of user research, information architecture, interaction design and content strategy. 

     

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