NCERT Solutions for Exercise 16.3 Class 11 Maths Chapter 16 - Probability

NCERT Solutions for Exercise 16.3 Class 11 Maths Chapter 16 - Probability

Edited By Ravindra Pindel | Updated on Jul 12, 2022 04:46 PM IST

In the previous classes, you have learned about the classical theory of probability which is defined as the ratio of the number of favorable outcomes to the total number of equally likely outcomes. Also, in the previous chapter, you have learned about the statistical approach to probability. Both the above-mentioned theories are not applicable in the random experiment when the number of total outcomes is infinities. In NCERT solutions for Class 11 Maths chapter 16 exercise 16.3 you will learn about the axiomatic approach of probability.

In the previous exercises of this NCERT chapter, you have already learned about the application of outcomes, random experiments, events, sample space, etc which will be needed to understand this approach of probability. The subtopics like the probability of an event, probabilities of equally likely outcomes, probability of compliment of an event are also covered in NCERT book exercise 16.3 Class 11 Maths. Also, you can go through NCERT Solutions, if are needed the NCERT solutions for Class 6 to Class 12 for Science and Maths.

Also, see

Probability Class 11 Chapter 16-Exercise: 16.3

Question:1(a) Which of the following can not be valid assignment of probabilities for outcomes of sample Space S =\left \{ \omega _1,\omega _2,\omega _3,\omega _4,\omega _5,\omega _6, \omega_7 \right \}

Assignment

\omega _1

\omega _2

\omega _3

\omega _4

\omega _5

\omega _6

\omega _7

(a)

0.1

0.01

0.05

0.03

0.01

0.2

0.6

Answer:

(a) Condition (i): Each of the number p( \omega_i ) is positive and less than one.

Condition (ii): Sum of probabilities = 0.1 + 0.01 + 0.05 + 0.03 + 0.01 + 0.2 + 0.6 = 1

Therefore, the assignment is valid

Question:1.(b) Which of the following cannot be the valid assignment of probabilities for outcomes of sample Space S=\left \{ \omega _1,\omega _2,\omega _3,\omega _4,\omega _5,\omega _6,\omega _7 \right \}

Assignment

\omega _1

\omega _2

\omega _3

\omega _4

\omega _5

\omega _6

\omega _7

(b)

\frac{1}{7}

\frac{1}{7}

\frac{1}{7}

\frac{1}{7}

\frac{1}{7}

\frac{1}{7}

\frac{1}{7}

Answer:

(b) Condition (i): Each of the number p( \omega_i ) is positive and less than one.

Condition (ii): Sum of probabilities = \frac{1}{7}+\frac{1}{7}+\frac{1}{7}+\frac{1}{7}+\frac{1}{7}+\frac{1}{7}+\frac{1}{7} = 1

Therefore, the assignment is valid

Question:1.(c) Which of the following can not be valid assignment of probabilities for outcomes of sample Space S=\left \{ \omega _1,\omega _2,\omega _3,\omega _4,\omega _5,\omega _6,\omega _7 \right \}

Assignment

\omega _1

\omega _2

\omega _3

\omega _4

\omega _5

\omega _6

\omega _7

(c)

0.1

0.2

0.3

0.4

0.5

0.6

0.7

Answer:

(c) Since sum of probabilities = 0.1 + 0.2 + 0.3 + 0.4 + 0.5 + 0.6 + 0.7 = 2.8 > 1

Hence, Condition (ii) is not satisfied.

Therefore, the assignment is not valid

Question:1.(d) Which of the following can not be valid assignment of probabilities for outcomes of sample Space S=\left \{ \omega _1,\omega _2,\omega _3,\omega _4,\omega _5,\omega _6,\omega _7 \right \}

Assignment

\omega _1

\omega _2

\omega _3

\omega _4

\omega _5

\omega _6

\omega _7

(d)

-0.1

0.2

0.3

0.4

-0.2

0.1

0.3


Answer:

(d) Two of the probabilities p( \omega_1 ) and p( \omega_5 ) are negative, hence condition(i) is not satisfied.

Therefore, the assignment is not valid.

Question:1.(e) Which of the following can not be valid assignment of probabilities for outcomes of sample Space S=\left \{ \omega _1,\omega _2,\omega _3,\omega _4,\omega _5,\omega _6,\omega _7 \right \}

Assignment

\omega _1

\omega _2

\omega _3

\omega _4

\omega _5

\omega _6

\omega _7

(e)

\frac{1}{14}

\frac{2}{14}

\frac{3}{14}

\frac{4}{14}

\frac{5}{14}

\frac{6}{14}

\frac{15}{14}


Answer:

(e) Each of the number p( \omega_i) is positive but p( \dpi{100} \omega_7) is not less than one. Hence the condition is not satisfied.

Therefore, the assignment is not valid.

Question:2 A coin is tossed twice, what is the probability that atleast one tail occurs?

Answer:

Sample space when a coin is tossed twice, S = {HH, HT, TH, TT}

[Note: A coin tossed twice is same as two coins tossed at once]

\therefore Number of possible outcomes n(S) = 4

Let E be the event of getting at least one tail = {HT, TH, TT}

\therefore n(E) = 3

\therefore P(E) = \frac{n(E)}{n(S)} = \frac{3}{4}

= 0.75

Question:3.(i) A die is thrown, find the probability of following events:

A prime number will appear

Answer:

Sample space when a die is thrown, S = {1,2,3,4,5,6}

\therefore Number of possible outcomes n(S) = 6

Let E be the event of getting a prime number = {2,3,5}

\therefore n(E) = 3

\therefore P(E) = \frac{n(E)}{n(S)} = \frac{3}{6}

= 0.5

Question:3.(ii) A die is thrown, find the probability of following events:

A number greater than or equal to 3 will appear

Answer:

Sample space when a die is thrown, S = {1,2,3,4,5,6}

\therefore Number of possible outcomes n(S) = 6

Let E be the event of getting a number greater than or equal to 3 = {3,4,5,6}

\therefore n(E) = 4

\therefore P(E) = \frac{n(E)}{n(S)} = \frac{4}{6} = \frac{2}{3}

= 0.67

Question:3.(iii) A die is thrown, find the probability of following events:

A number less than or equal to one will appear

Answer:

Sample space when a die is thrown, S = {1,2,3,4,5,6}

\therefore Number of possible outcomes n(S) = 6

Let E be the event of getting a number less than or equal to one = {1}

\therefore n(E) = 1

\therefore P(E) = \frac{n(E)}{n(S)} = \frac{1}{6}

= 0.167

Question:3.(iv) A die is thrown, find the probability of following events:

A number more than \small 6 will appear

Answer:

Sample space when a die is thrown, S = {1,2,3,4,5,6}

\therefore Number of possible outcomes n(S) = 6

Let E be the event of getting a number more than 6 will appear = \phi

\therefore n(E) = 0

\therefore P(E) = \frac{n(E)}{n(S)} = \frac{0}{6}

= 0

Question:3.(v) A die is thrown, find the probability of following events:

A number less than \small 6 will appear.

Answer:

Sample space when a die is thrown, S = {1,2,3,4,5,6}

\therefore Number of possible outcomes n(S) = 6

Let E be the event of getting a number less than 6 will appear = {1,2,3,4,5}

\therefore n(E) = 5

\therefore P(E) = \frac{n(E)}{n(S)} = \frac{5}{6}

= 0.83

Question:4(a). A card is selected from a pack of \small 52 cards.
How many points are there in the sample space?

Answer:

(a) Number of points(events) in the sample space = Number of cards in the pack = 52

Question:4(b). A card is selected from a pack of \small 52 cards.

Calculate the probability that the card is an ace of spades.

Answer:

Number of possible outcomes, n(S) = 52

Let E be the event that the card is an ace of spades

\therefore n(E) = 1

\therefore P(E) = \frac{n(E)}{n(S)} = \frac{1}{52}

The required probability that the card is an ace of spades is \frac{1}{52}.

Question:4(c)(i) A card is selected from a pack of 52 cards.

Calculate the probability that the card is an ace

Answer:

Number of possible outcomes, n(S) = 52

Let E be the event that the card is an ace. There are 4 aces.

\therefore n(E) = 4

\therefore P(E) = \frac{n(E)}{n(S)} = \frac{4}{52} = \frac{1}{13}

The required probability that the card is an ace is \frac{1}{13}.

Question:4(c)(ii) A card is selected from a pack of \small 52 cards.

Calculate the probability that the card is black card.

Answer:

Number of possible outcomes, n(S) = 52

Let E be the event that the card is a black card. There are 26 black cards. (Diamonds and Clubs)

\therefore n(E) = 26

\therefore P(E) = \frac{n(E)}{n(S)} = \frac{26}{52} = \frac{1}{2}

The required probability that the card is an ace is \frac{1}{2}.

Question:5.(i) A fair coin with \small 1 marked on one face and \small 6 on the other and a fair die are both tossed. find the probability that the sum of numbers that turn up is \small 3

Answer:

The coin and die are tossed together.

The coin can have only 1 or 6 as possible outcomes and the die can have {1,2,3,4,5,6} as poosible outcomes

Sample space, S = {(x,y): x \in {1,6} and y \in {1,2,3,4,5,6}}

= {(1,1), (1,2), (1,3), (1,4), (1,5), (1,6), (6,1), (6,2), (6,3), (6,4), (6,5), (6,6)}

Number of possible outcomes, n(S) = 12

(i) Let E be the event having sum of numbers as 3 = {(1, 2)}

\therefore n(E) = 1

\therefore P(E) = \frac{n(E)}{n(S)} = \frac{1}{12}

The required probability of having 3 as sum of numbers is \frac{1}{12}.

Question:5.(ii) A fair coin with 1 marked on one face and 6 on the other and a fair die are both tossed. find the probability that the sum of numbers that turn up is \small 12

Answer:

The coin and die are tossed together.

The coin can have only 1 or 6 as possible outcomes and the die can have {1,2,3,4,5,6} as poosible outcomes

Sample space, S = {(x,y): x \in {1,6} and y \in {1,2,3,4,5,6}}

= {(1,1), (1,2), (1,3), (1,4), (1,5), (1,6), (6,1), (6,2), (6,3), (6,4), (6,5), (6,6)}

Number of possible outcomes, n(S) = 12

(ii) Let E be the event having sum of numbers as 12 = {(6, 6)}

\therefore n(E) = 1

\therefore P(E) = \frac{n(E)}{n(S)} = \frac{1}{12}

The required probability of having 12 as sum of numbers is \frac{1}{12}.

Question:6 There are four men and six women on the city council. If one council member is selected for a committee at random, how likely is it that it is a woman?

Answer:

There are four men and six women on the city council

\therefore n(S) = n(men) + n(women) = 4 + 6 = 10

Let E be the event of selecting a woman

\therefore n(E) = 6

\therefore P(E) = \frac{n(E)}{n(S)} = \frac{6}{10} = \frac{3}{5}

Therefore, the required probability of selecting a woman is 0.6

Question:7. A fair coin is tossed four times, and a person win Re \small 1 for each head and lose Rs \small 1.50 for each tail that turns up. From the sample, space calculate how many different amounts of money you can have after four tosses and the probability of having each of these amounts.

Answer:

Here the sample space is,

S = {HHHH, HHHT, HHTH, HTHH, THHH, HHTT, HTHT, THHT, HTTH, THTH, TTHH, TTTH, TTHT, THTT, HTTT, TTTT}

According to question,

1.) 4 heads = 1 + 1 + 1 + 1 = Rs. 4

2.) 3 heads and 1 tail = 1 + 1 + 1 - 1.50 = Rs. 1.50

3.) 2 heads and 2 tails = 1 + 1 - 1.50 - 1.50 = - Rs. 1 : he will lose Re. 1

4.) 1 head and 3 tails = 1 – 1.50 – 1.50 – 1.50 = - Rs. 3.50 : he will lose Rs. 3.50

5.) 4 tails = – 1.50 – 1.50 – 1.50 – 1.50 = - Rs. 6 = he will lose Rs. 6

Now, sample space of amounts corresponding to S:

S' = {4, 1.50, 1.50, 1.50, 1.50, - 1, - 1, - 1, - 1, - 1, - 1, - 3.50, - 3.50, - 3.50, - 3.50, - 6}

\therefore n(S') = 12

\therefore Required Probabilities are:

P(Winning\ Rs.\ 4) = \frac{n(Winning\ Rs.\ 4)}{n(S')} = \frac{1}{16}

P(Winning\ Rs.\ 1.50) = \frac{n(Winning\ Rs.\ 1.50)}{n(S')} = \frac{4}{16} = \frac{1}{4}

P(Losing\ Re.\ 1) = \frac{n(Losing\ Re.\ 1)}{n(S')} = \frac{6}{16} = \frac{3}{8}

P(Losing\ Rs.\ 3.50) = \frac{n(Losing\ Rs.\ 3.50)}{n(S')} = \frac{4}{16} = \frac{1}{4}

P(Losing\ Rs.\ 6) = \frac{n(Losing\ Rs.\ 6)}{n(S')} = \frac{1}{16}

Question:8.(i) Three coins are tossed once. Find the probability of getting

\small 3 heads

Answer:

Sample space when three coins are tossed: [Same as a coin tossed thrice!]

S = {HHH, HHT, HTH, HTT, THH, TTH, THT, TTT}

Number of possible outcomes, n(S) = 8 [Note: 2x2x2 = 8]

Let E be the event of getting 3 heads = {HHH}

\therefore n(E) = 1

\therefore P(E) = \frac{n(E)}{n(S)} = \frac{1}{8}

The required probability of getting 3 heads is \frac{1}{8}.

Question:8.(ii) Three coins are tossed once. Find the probability of getting

\small 2 heads

Answer:

Sample space when three coins are tossed: [Same as a coin tossed thrice!]

S = {HHH, HHT, HTH, HTT, THH, TTH, THT, TTT}

Number of possible outcomes, n(S) = 8 [Note: 2x2x2 = 8]

Let E be the event of getting 2 heads = {HHT, HTH, THH}

\therefore n(E) = 3

\therefore P(E) = \frac{n(E)}{n(S)} = \frac{3}{8}

The required probability of getting 2 heads is \frac{3}{8}.

Question:8.(iii) Three coins are tossed once. Find the probability of getting

atleast 2 heads

Answer:

Sample space when three coins are tossed: [Same as a coin tossed thrice!]

S = {HHH, HHT, HTH, HTT, THH, TTH, THT, TTT}

Number of possible outcomes, n(S) = 8 [Note: 2x2x2 = 8]

Let E be the event of getting atleast 2 heads = Event of getting 2 or more heads = {HHH, HHT, HTH, THH}

\therefore n(E) = 4

\therefore P(E) = \frac{n(E)}{n(S)} = \frac{4}{8} = \frac{1}{2}

The required probability of getting atleast 2 heads is \frac{1}{2}.

Question:8.(iv) Three coins are tossed once. Find the probability of getting

atmost \small 2 heads

Answer:

Sample space when three coins are tossed: [Same as a coin tossed thrice!]

S = {HHH, HHT, HTH, HTT, THH, TTH, THT, TTT}

Number of possible outcomes, n(S) = 8 [Note: 2x2x2 = 8]

Let E be the event of getting atmost 2 heads = Event of getting 2 or less heads = {HHT, HTH, THH, TTH, HTT, THT}

\therefore n(E) = 6

= \frac{6}{8} = \frac{3}{4}\therefore P(E) = \frac{n(E)}{n(S)}

The required probability of getting almost 2 heads is \frac{3}{4}.

Question:8.(v) Three coins are tossed once. Find the probability of getting

no head

Answer:

Sample space when three coins are tossed: [Same as a coin tossed thrice!]

S = {HHH, HHT, HTH, HTT, THH, TTH, THT, TTT}

Number of possible outcomes, n(S) = 8 [Note: 2x2x2 = 8]

Let E be the event of getting no head = Event of getting only tails = {TTT}

\therefore n(E) = 1

\therefore P(E) = \frac{n(E)}{n(S)} = \frac{1}{8}

The required probability of getting no head is \frac{1}{8}.

Question:8.(vi) Three coins are tossed once. Find the probability of getting

\small 3 tails

Answer:

Sample space when three coins are tossed: [Same as a coin tossed thrice!]

S = {HHH, HHT, HTH, HTT, THH, TTH, THT, TTT}

Number of possible outcomes, n(S) = 8 [Note: 2x2x2 = 8]

Let E be the event of getting 3 tails = {TTT}

\therefore n(E) = 1

\therefore P(E) = \frac{n(E)}{n(S)} = \frac{1}{8}

The required probability of getting 3 tails is \frac{1}{8}.

Question:8(vii) Three coins are tossed once. Find the probability of getting

exactly two tails

Answer:

Sample space when three coins are tossed: [Same as a coin tossed thrice!]

S = {HHH, HHT, HTH, HTT, THH, TTH, THT, TTT}

Number of possible outcomes, n(S) = 8 [Note: 2x2x2 = 8]

Let E be the event of getting exactly 2 tails = {TTH, HTT, THT}

\therefore n(E) = 3

\therefore P(E) = \frac{n(E)}{n(S)} = \frac{3}{8}

The required probability of getting exactly 2 tails is \frac{3}{8}.

Question:8.(viii) Three coins are tossed once. Find the probability of getting

no tail

Answer:

Sample space when three coins are tossed: [Same as a coin tossed thrice!]

S = {HHH, HHT, HTH, HTT, THH, TTH, THT, TTT}

Number of possible outcomes, n(S) = 8 [Note: 2x2x2 = 8]

Let E be the event of getting no tail = Event of getting only heads = {HHH}

\therefore n(E) = 1

\therefore P(E) = \frac{n(E)}{n(S)} = \frac{1}{8}

The required probability of getting no tail is \frac{1}{8}.

Question:8.(ix) Three coins are tossed once. Find the probability of getting

atmost two tails

Answer:

Sample space when three coins are tossed: [Same as a coin tossed thrice!]

S = {HHH, HHT, HTH, HTT, THH, TTH, THT, TTT}

Number of possible outcomes, n(S) = 8 [Note: 2x2x2 = 8]

Let E be the event of getting atmost 2 tails = Event of getting 2 or less tails = {HHT, HTH, THH, TTH, HTT, THT}

\therefore n(E) = 6

\therefore P(E) = \frac{n(E)}{n(S)} = \frac{6}{8} = \frac{3}{4}

The required probability of getting atmost 2 tails is \frac{3}{4}.

Question:9 If \small \frac{2}{11} is the probability of an event, what is the probability of the event ‘not A’.

Answer:

Given,

P(E) = \small \frac{2}{11}

We know,

P(not E) = P(E') = 1 - P(E)

= 1 - \small \frac{2}{11}

= \frac{9}{11}

Question:10.(i) A letter is chosen at random from the word ‘ASSASSINATION’. Find the probability that letter is a vowel

Answer:

Given, ‘ASSASSINATION’

No. of A's = 3; No. of S's = 4; No. of I's = 2; No. of N's = 2; No. of T = 1; No. of O = 1

No. of letters = 13

No. of vowels = {3 A's,2 I's,O} = 6

One letter is selected:

n(S) = ^{13}\textrm{C}_{1} = 13

Let E be the event of getting a vowel.

n(E) = ^{6}\textrm{C}_{1} = 6

\therefore P(E) = \frac{6}{13}

Question:10.(ii) A letter is chosen at random from the word ‘ASSASSINATION’. Find the probability that letter is a consonant

Answer:

Given, ‘ASSASSINATION’

No. of A's = 3; No. of S's = 4; No. of I's = 2; No. of N's = 2; No. of T = 1; No. of O = 1

No. of letters = 13

No. of consonants = {4 S's,2 N's,T} = 7

One letter is selected:

n(S) = ^{13}\textrm{C}_{1} = 13

Let E be the event of getting a consonant.

n(E) = ^{7}\textrm{C}_{1} = 7

\therefore P(E) = \frac{7}{13}

Question:11 In a lottery, a person choses six different natural numbers at random from 1 to 20, and if these six numbers match with the six numbers already fixed by the lottery committee, he wins the prize. What is the probability of winning the prize in the game? [Hint order of the numbers is not important.]

Answer:

Total numbers of numbers in the draw = 20

Numbers to be selected = 6

\therefore n(S) = \dpi{100} ^{20}\textrm{C}_{6}

Let E be the event that six numbers match with the six numbers fixed by the lottery committee.

n(E) = 1 (Since only one prize to be won.)

\therefore Probability of winning =

P(E) = \frac{n(E)}{n(S)}= \frac{1}{^{20}\textrm{C}_{6}} = \frac{6!14!}{20!}

= \frac{6.5.4.3.2.1.14!}{20.19.18.17.16.15.14!}

= \frac{1}{38760}

Question:12.(i) Check whether the following probabilities P(A) and P(B) are consistently defined:

P(A)=0.5,P(B)=0.7.P(A\cap B)=0.6

Answer:

(i) Given, P(A)=0.5,P(B)=0.7.P(A\cap B)=0.6

Now P(A \cap B) > P(A)

(Since A \cap B is a subset of A, P(A \cap B) cannot be more than P(A))

Therefore, the given probabilities are not consistently defined.

Question:12.(ii) Check whether the following probabilities P(A) and P(B) are consistently defined

P(A)=0.5,P(B)=0.4,P(A\cup B)=0.8

Answer:

(ii) Given, P(A)=0.5,P(B)=0.4,P(A\cup B)=0.8

We know,

P(A \cup B) = P(A)+ P(B) - P(A \cap B)

\implies 0.8 = 0.5 + 0.4 - P(A \cap B)

\implies P(A \cap B) = 0.9 - 0.8 = 0.1

Therefore, P(A \cap B) < P(A) and P(A \cap B) < P(B) , which satisfies the condition.

Hence, the probabilities are consistently defined

Question:13 Fill in the blanks in following table:


P(A)

P(B)

P(A\cap B)

P(A\cup B)

(i)

\frac{1}{3}

\frac{1}{5}

\frac{1}{15}

...

(ii)

0.35

...

0.25

0.6

(iii)

0.5

0.35

...

0.7


Answer:

We know,

P(A \cup B) = P(A)+ P(B) - P(A \cap B)

(i) P(A \cup B) = \frac{1}{3}+\frac{1}{5}-\frac{1}{15} = \frac{5+3-1}{15} = \frac{7}{15}

(ii) 0.6 = 0.35 + P(B) - 0.25

\implies P(B) = 0.6 - 0.1 = 0.5

(iii) 0.7 = 0.5 + 0.35 - P(A \cap B)

\implies P(A \cap B) = 0.85 - 0.7 = 0.15


P(A)

P(B)

P(A\cap B)

P(A\cup B)

(i)

\frac{1}{3}

\frac{1}{5}

\frac{1}{15}

\boldsymbol{\frac{7}{15}}

(ii)

0.35

0.5

0.25

0.6

(iii)

0.5

0.35

0.15

0.7

Question:14 Given P(A)=\frac{3}{5} and P(B)=\frac{1}{5}. Find P(A\hspace{1mm}or\hspace{1mm}B), if A and B are mutually exclusive events.

Answer:

Given, P(A)=\frac{3}{5} and P(B)=\frac{1}{5}

To find : P(A or B) = P(A \cup B)

We know,

P(A \cup B) = P(A)+ P(B) - P(A \cap B) = P(A)+ P(B) [Since A and B are mutually exclusive events.]

\implies P(A \cup B) = \frac{3}{5}+\frac{1}{5} = \frac{4}{5}

Therefore, P(A \cup B) = \frac{4}{5}

Question:15(i) If E and F are events such that P(E)=\frac{1}{4}, P(F)=\frac{1}{2} and P(E\hspace{1mm}and\hspace{1mm}F)=\frac{1}{8}, find (i) P(E or F)

Answer:

Given, P(E)=\frac{1}{4}, P(F)=\frac{1}{2} and P(E\hspace{1mm}and\hspace{1mm}F)=\frac{1}{8}

To find : P(E or F) = P(E \cup F)

We know,

P(A \cup B) = P(A)+ P(B) - P(A \cap B)

\implies P(E \cup F) = \frac{1}{4}+\frac{1}{2} -\frac{1}{8} = \frac{2+4-1}{8}

= \frac{5}{8}
Therefore, P(E \cup F) = \frac{5}{8}

Question:15.(ii) If E and F are events such that P(E)=\frac{1}{4} , P(F)=\frac{1}{2} and P(E\hspace{1mm}and\hspace{1mm}F)=\frac{1}{8} find P(not E and not F).

Answer:

Given, P(E)=\frac{1}{4}, P(F)=\frac{1}{2} and P(E\hspace{1mm}and\hspace{1mm}F)=\frac{1}{8}

To find :P(not\ E\ and\ not\ F) = P(E' \cap F')

We know,

P(A' \cap B') = P(A \cup B)' = 1 - P(A \cup B)

And P(A\cup B) = P(A)+ P(B) - P(A \cap B)

\implies P(E \cup F) =\frac{1}{4}+\frac{1}{2} -\frac{1}{8} = \frac{2+4-1}{8}

= \frac{5}{8}

\implies P(E' \cap F') = 1 - P(E \cup F)

= 1- \frac{5}{8}= \frac{3}{8}

Therefore, P(E' \cap F') = \frac{3}{8}

Question:16 Events E and F are such that P(not E or not F) \small =0.25, State whether E and F are mutually exclusive.

Answer:

Given, P(not\ E\ or\ not\ F) = 0.25

For A and B to be mutually exclusive, P(A \cap B) = 0

Now, P(not\ E\ or\ not\ F) = P(E' \cup F') = 0.25

We know,

P(A' \cup B') = P(A \cap B)' = 1 - P(A \cap B)
\\ \implies 0.25 = 1 - P(E \cap F) \\ \implies P(E \cap F) = 1 - 0.25 = 0.75 \neq 0

Hence, E and F are not mutually exclusive.

Question:17(i) A and B are events such that P(A) \small =0.42, P(B) \small =0.48 and P(A and B) . \small =0.16Determine (i) P(not A)

Answer:

Given, P(A) = 0.42, P(B) = 0.48 and P(A and B) = 0.16

(i) P(not\ A) = P(A') = 1 - P(A)

\implies P(not\ A) = 1 - 0.42 = 0.58

Therefore, P(not A) = 0.58

Question:17.(ii) A and B are events such that P(A) \small =0.42, P(B) \small =0.48 and P(A and B) \small =0.16. Determine P(not B)

Answer:

Given, P(A) = 0.42, P(B) = 0.48 and P(A and B) = 0.16

(ii) P(not\ B) = P(B') = 1 - P(B)

\implies P(not\ B) = 1 - 0.48 = 0.52

Therefore, P(not B) = 0.52

Question:17(iii) A and B are events such that P(A) \small =0.42 , P(B) \small =0.48 and P(A and B) \small =0.16. Determine P(A or B)

Answer:

Given, P(A) = 0.42, P(B) = 0.48 and P(A and B) = 0.16

(iii) We know,

P(A \cup B) = P(A)+ P(B) - P(A \cap B)

\implies P(A \cup B) = 0.42 + 0.48 - 0.16 = 0.9 - 0.16

= 0.74

Question:18 In Class XI of a school \small 40\% of the students study Mathematics and \small 30\% study Biology. \small 10\% of the class study both Mathematics and Biology. If a student is selected at random from the class, find the probability that he will be studying Mathematics or Biology.

Answer:

Let M denote the event that the student is studying Mathematics and B denote the event that the student is studying Biology

And total students in the class be 100.

Given, n(M) = 40 \implies P(M) = \frac{40}{100} = \frac{2}{5}

n(B) = 30\implies P(M) = \frac{30}{100} = \frac{3}{10}

n(M \cap B) = 10\implies P(M) = \frac{10}{100} = \frac{1}{10}

We know,

P(A \cup B) = P(A)+ P(B) - P(A \cap B)

\implies P(M \cup B) = 0.4 + 0.3 - 0.1 = 0.6

Hence, the probability that he will be studying Mathematics or Biology is 0.6

Question:19 In an entrance test that is graded on the basis of two examinations, the probability of a randomly chosen student passing the first examination is \small 0.8 and the probability of passing the second examination is \small 0.7 . The probability of passing atleast one of them is \small 0.95 . What is the probability of passing both?

Answer:

Let A be the event that the student passes the first examination and B be the event that the students passes the second examination.

P(A \cup B) is probability of passing at least one of the examination.

Therefore,

P(A \cup B) = 0.95 , P(A)=0.8, P(B)=0.7

We know,

P(A \cup B) = P(A)+ P(B) - P(A \cap B)

\implies P(A \cap B) = 0.8 + 0.7 - 0.95 = 1.5 -0.95 = 0.55

Hence,the probability that the student will pass both the examinations is 0.55

Question:20. The probability that a student will pass the final examination in both English and Hindi is \small 0.5 and the probability of passing neither is \small 0.1. If the probability of passing the English examination is \small 0.75, what is the probability of passing the Hindi examination?

Answer:

Let A be the event that the student passes English examination and B be the event that the students pass Hindi examination.

Given,

P(A)=0.75, P(A \cap B) = 0.5, P(A' \cap B') =0.1

We know,

P(A' \cap B') = 1 - P(A \cup B)

\implies P(A \cup B) = 1 - 0.1 = 0.9

Also,

P(A \cup B) = P(A)+ P(B) - P(A \cap B)

\implies P(B) = 0.9 - 0.75 + 0.5 = 0.65

Hence,the probability of passing the Hindi examination is 0.65

Question:21.(i) In a class of \small 60 students, \small 30 opted for NCC, \small 32 opted for NSS and \small 24 opted for both NCC and NSS. If one of these students is selected at random, find the probability that

The student opted for NCC or NSS.

Answer:

Let A be the event that student opted for NCC and B be the event that the student opted for NSS.

Given,

n(S) = 60, n(A) = 30, n(B) =32, n(A \cap B) = 24

Therefore, P(A) = \frac{30}{60} = \frac{1}{2}

P(B) = \frac{32}{60} = \frac{8}{15}

P(A \cap B) = \frac{24}{60} = \frac{2}{5}

(i) We know,

P(A \cup B) = P(A)+ P(B) - P(A \cap B)

\frac{1}{2} + \frac{8}{15} - \frac{2}{5} = \frac{15+16-12}{30}

= \frac{19}{30}

Hence,the probability that the student opted for NCC or NSS is \frac{19}{30}

Question:21.(ii) In a class of \small 60 students, \small 30 opted for NCC, \small 32 opted for NSS and \small 24 opted for both NCC and NSS. If one of these students is selected at random, find the probability that

The student has opted neither NCC nor NSS.

Answer:

Let A be the event that student opted for NCC and B be the event that the student opted for NSS.

Given,

n(S) = 60, n(A) = 30, n(B) =32, n(A \cap B) = 24

Therefore, P(A) = \frac{30}{60} = \frac{1}{2}

P(B) = \frac{32}{60} = \frac{8}{15}

P(A \cap B) = \frac{24}{60} = \frac{2}{5}

(ii) Now,

Probability that the student has opted neither NCC nor NSS = P(A' \cap B' )

We know,

P(A' \cap B' ) = 1 - P(A \cup B) [De morgan's law]

And, P(A \cup B) = P(A)+ P(B) - P(A \cap B)

= \frac{19}{30}

\therefore P(A' \cap B' )

= 1- \frac{19}{30} = \frac{11}{30}

Hence,the probability that the student has opted neither NCC nor NSS. is \frac{11}{30}

Question:21(iii) In a class of \small 60 students, \small 30 opted for NCC, \small 32 opted for NSS and \small 24 opted for both NCC and NSS. If one of these students is selected at random, find the probability that The student has opted NSS but not NCC.

Answer:

Let A be the event that student opted for NCC and B be the event that the student opted for NSS.

Given,

n(S) = 60, n(A) = 30, n(B) =32, n(A \cap B) = 24

Therefore, P(A) = \frac{30}{60} = \frac{1}{2}

P(B) = \frac{32}{60} = \frac{8}{15}

P(A \cap B) = \frac{24}{60} = \frac{2}{5}

(iii) Now,

Probability that the student has opted NSS but not NCC = P(B \cap A' ) = P(B-A)

We know,

P(B-A) = P(B) - P(A \cap B)

= \frac{8}{15}- \frac{2}{5} = \frac{8-6}{15}

= \frac{2}{15}

Hence,the probability that the student has opted NSS but not NCC is \frac{2}{15}

More About NCERT Solutions for Class 11 Maths Chapter 16 Exercise 16.3:-

Class 11 Maths chapter 16 exercise 16.3 solutions consist of questions related to finding the probability of events, probability of compliment of an event, probability of mutually exclusive events, probability of exhaustive events, etc. There are 21 long-answer types questions given in Class 11 Maths chapter 16 exercise 16.3 which you must try to solve by yourself. You can solve the solved examples given before the Class 11 Maths chapter 16 exercise 16.3. Solving these examples will help you to solve Class 11 Maths chapter 16 exercise 16.3 problems very easily.

Also Read| Probability Class 11 Notes

Benefits of NCERT Solutions for Class 11 Maths Chapter 16 Exercise 16.3:-

  • The previous two exercises of this chapter were the building blocks for this exercise which is needed to solve Class 11 Maths chapter 16 exercise 16.3 problems.
  • Class 11 Maths chapter 16 exercise 16.3 is very important for the exam as well as applicability point of view in the upcoming classes.
  • In Class 11 Maths chapter 16 exercise 16.3 solutions, you will also learn about the venn diagram which is an important concept to solve probability problems.
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Frequently Asked Questions (FAQs)

1. If the probability of event A is 0.6 then find the probability of event "not A" ?

Given probability of event A p(A) = 0.6

p(A') = p( not A) = 1- p(A) = 0.4

2. What is venn diagram ?

Venn diagram is a diagram that represents the mathematical set as the circles. The intersections of these circles are used to represent the common elements of the sets.

3. What is the use of venn diagram ?

Venn diagram is used to show the logical relation between sets. In the probability theory it is most useful tool to find the common outcomes of the events.

4. If the event A and event B are mutually exclusive events then find the probability of event A and event B ?

As the event A and event B are mutually exclusive so the probability of  A and B i .e. p(A and B) = 0.

5. If the event A and event B are two mutually exclusive events and p(A) = 0.4 and p(B) = 0.3 then what is p(A or B) ?

P(A) = 0.4

p(B) = 0.3

p(A or B) = 0.4 + 0.3 - p(A and B)

p(A or B) = 0.7 - 0 = 0.7

6. Does event A and event not A are mutually exclusive events ?

Yes, event A and event not A are mutually exclusive events.

7. A die is thrown, find the probability that A prime number will appear ?

Prime numbers on a die = { 2, 3, 5}

The probability of appearing a prime number = 1/2

8. A die is thrown, find the probability that a number more than 6 will appear ?

The probability of appearing the number more than 6 is zero when a die is thrown.

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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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