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    NCERT Solutions for Class 12 Maths Chapter 13 Exercise 13.1 - Probability

    NCERT Solutions for Class 12 Maths Chapter 13 Exercise 13.1 - Probability

    Komal MiglaniUpdated on 07 May 2025, 03:48 PM IST

    During a card game with your friends, you get asked to select a red card. The questions in these situations deal with probability, which people utilise everywhere in daily activities without realising it. Probability exists throughout our everyday environment because it allows us to forecast the weather and determine coin toss results, along with lucky draw outcomes.

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    This Story also Contains

    1. Class 12 Maths Chapter 13 Exercise 13.1 Solutions: Download PDF
    2. NCERT Solutions Class 12 Maths Chapter 13: Exercise 13.1
    3. Topics Covered in Chapter 13 Exercise 13.1
    4. NCERT Solutions of Class 12 Subject Wise
    5. Subject Wise NCERT Exampler Solutions

    The fundamental study of probability, as discussed in Class 12 Maths, exists within Chapter 13: Probability. The introductory section of Exercise 13.1, Class 12 Maths, presents an overview of conditional probability accompanied by an explanation of event dependencies. This article provides straightforward explanations for each problem found in 12 Maths Exercise 13.1. The NCERT solutions will unlock your path to easier and more effective learning for the material.

    Class 12 Maths Chapter 13 Exercise 13.1 Solutions: Download PDF

    You can access the PDF version of the maths exercise 13.1 solutions of NCERT. Students can enhance their knowledge of Probability theory through this resource, which leads to better results in school examinations, together with competitive entrance tests, like JEE and others.



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    NCERT Solutions Class 12 Maths Chapter 13: Exercise 13.1

    Question 1: Given that E and F are events such that P(E)=0.6,P(F)=0.3 and p(EF)=0.2, find P(EF) and P(FE)

    Answer:

    It is given that P(E)=0.6,P(F)=0.3 and p(EF)=0.2,

    P(E|F)=p(EF)P(F)=0.20.3=23

    P(F|E)=p(EF)P(E)=0.20.6=13

    Question 2: Compute P(AB), if P(B)=0.5 and P(AB)=0.32

    Answer:

    It is given that P(B)=0.5 and P(AB)=0.32

    P(A|B)=p(AB)P(B)=0.320.5=0.64

    Question 3: If P(A)=0.8,P(B)=0.5 and P(BA)=0.4, find

    (i) P(AB)

    Answer:

    It is given that P(A)=0.8, P(B)=0.5 and P(B|A)=0.4

    P(B|A)=p(AB)P(A)

    0.4=p(AB)0.8

    p(AB)=0.4×0.8

    p(AB)=0.32

    Question 4: Evaluate P(AB), if 2P(A)=P(B)=513 and P(AB)=25

    Answer:

    Given in the question 2P(A)=P(B)=513 and P(AB)=25

    We know that:

    P(A|B)=p(AB)P(B)

    25=p(AB)513

    2×55×13=p(AB)

    p(AB)=213

    Use, p(AB)=p(A)+p(B)p(AB)

    p(AB)=526+513213

    p(AB)=1126

    Question 5: If P(A)=611,P(B)=511 and P(AB)=711. , find

    (i) P(AB)

    Answer:

    Given in the question

    P(A)=611,P(B)=511 and P(AB)=711.

    By using formula:

    p(AB)=p(A)+p(B)p(AB)

    711=611+511p(AB)

    p(AB)=1111711

    p(AB)=411

    Question 6: A coin is tossed three times, where

    (i)E : head on third toss ,F : heads on first two tosses

    Answer:

    The sample space S when a coin is tossed three times is

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

    It can be seen that the sample space (S) has 8 elements.

    Total number of outcomes =23=8

    According to question

    E: head on third toss, F: heads on first two tosses

    E={HHH,TTH,HTH,THH}

    F={HHH,HHT}

    EF=HHH

    P(F)=28=14

    P(EF)=18

    P(E|F)=P(EF)P(F)

    P(E|F)=1814

    P(E|F)=48=12

    Question 7: Two coins are tossed once, where

    (i) E : tail appears on one coin, F : one coin shows head

    Answer:

    E : tail appears on one coin, F : one coin shows head

    Total outcomes =4

    E={HT,TH}=2

    F={HT,TH}=2

    EF={HT,TH}=2

    P(F)=24=12

    P(EF)=24=12

    P(E|F)=P(EF)P(F)

    P(E|F)=1212

    P(E|F)=1

    Question 8: A die is thrown three times,

    E : 4 appears on the third toss, F : 6 and 5 appears respectively on first two tosses

    Answer:

    E : 4 appears on the third toss, F : 6 and 5 appears respectively on first two tosses

    Total outcomes =63=216

    E={114,124,134,144,154,164,214,224,234,244,254,264,314,324,334,344,354,364,414,424,434,454,464,514,524,534,544,554,564,614,624,634,644,654,664} n(E)=36

    F={651,652,653,654,655,656}

    n(F)=6

    EF={654}

    n(EF)=1

    P(EF)=1216

    P(F)=6216=136

    P(E|F)=P(EF)P(F)

    P(E|F)=1216136

    P(E|F)=16

    Question 9: Mother, father and son line up at random for a family picture

    E : son on one end, F : father in middle

    Answer:

    E : son on one end, F : father in middle

    Total outcomes =3!=3×2=6

    Let S be son, M be mother and F be father.

    Then we have,

    E={SMF,SFM,FMS,MFS}

    n(E)=4

    F={SFM,MFS}

    n(F)=2

    EF={SFM,MFS}

    n(EF)=2

    P(F)=26=13

    P(EF)=26=13

    P(E|F)=P(EF)P(F)

    P(E|F)=1313

    P(E|F)=1

    Question 10: A black and a red dice are rolled.

    (a) Find the conditional probability of obtaining a sum greater than 9 , given that the black die resulted in a 5.

    Answer:

    A black and a red dice are rolled.

    Total outcomes =62=36

    Let the A be event obtaining a sum greater than 9 and B be a event that the black die resulted in a 5.

    A={46,55,56,64,65,66}

    n(A)=6

    B={51,52,53,54,55,56}

    n(B)=6

    AB={55,56}

    n(AB)=2

    P(AB)=236

    P(B)=636

    P(A|B)=P(AB)P(B)

    P(A|B)=236636=26=13

    Question 11: A fair die is rolled. Consider events E={1,3,5},F{2,3} and G={2,3,4,5} Find

    (i) P(EF) and P(FE)

    Answer:

    A fair die is rolled.

    Total oucomes ={1,2,3,4,5,6}=6

    E={1,3,5},F{2,3}

    EF={3}

    n(EF)=1

    n(F)=2

    n(E)=3

    P(E)=36 P(F)=26 and P(EF)=16

    P(E|F)=P(EF)P(F)

    P(E|F)=1626

    P(E|F)=12

    P(F|E)=P(FE)P(E)

    P(F|E)=1636

    P(F|E)=13

    Question 12: Assume that each born child is equally likely to be a boy or a girl. If a family has two children, what is the conditional probability that both are girls given that

    (i) the youngest is a girl,

    Answer:

    Assume that each born child is equally likely to be a boy or a girl.

    Let first and second girl are denoted by G1andG2 respectively also first and second boy are denoted by B1andB2

    If a family has two children, then total outcomes =22=4 ={(B1B2),(G1G2),(G1B2),(G2B1)}

    Let A= both are girls ={(G1G2)}

    and B= the youngest is a girl = ={(G1G2),(B1G2)}

    AB={(G1G2)}

    P(AB)=14 P(B)=24

    P(A|B)=P(AB)P(B)

    P(A|B)=1424

    P(A|B)=12

    Therefore, the required probability is 1/2

    Question 13: An instructor has a question bank consisting of 300 easy True / False questions, 200 difficult True / False questions, 500 easy multiple choice questions and 400 difficult multiple choice questions. If a question is selected at random from the question bank, what is the probability that it will be an easy question given that it is a multiple choice question?

    Answer:

    An instructor has a question bank consisting of 300 easy True / False questions, 200 difficult True / False questions, 500 easy multiple choice questions and 400 difficult multiple choice questions.

    Total number of questions =300+200+500+400=1400

    Let A = question be easy.

    n(A)=300+500=800

    P(A)=8001400=814

    Let B = multiple choice question

    n(B)=500+400=900

    P(B)=9001400=914

    AB= easy multiple questions

    n(AB)=500

    P(AB)=5001400=514

    P(A|B)=P(AB)P(B)

    P(A|B)=514914

    P(A|B)=59

    Therefore, the required probability is 5/9

    Question 14: Given that the two numbers appearing on throwing two dice are different. Find the probability of the event ‘the sum of numbers on the dice is 4’.

    Answer:

    Two dice are thrown.

    Total outcomes =62=36

    Let A be the event ‘the sum of numbers on the dice is 4.

    A={(13),(22),(31)}

    Let B be the event that two numbers appearing on throwing two dice are different.

    B={(12),(13),(14),(15),(16),(21)(23),(24),(25),(26,)(31),(32),(34),(35),(36),(41),(42),(43),(45),(46),(51),(52),(53),(54),(56),(61),(62),(63),(64),(65)} n(B)=30

    P(B)=3036

    AB={(13),(31)}

    n(AB)=2

    P(AB)=236

    P(A|B)=P(AB)P(B)

    P(A|B)=2363036

    P(A|B)=230=115

    Therefore, the required probability is 1/15

    Question 15: Consider the experiment of throwing a die, if a multiple of 3 comes up, throw the die again and if any other number comes, toss a coin. Find the conditional probability of the event ‘the coin shows a tail’, given that ‘at least one die shows a 3’.

    Answer:

    Consider the experiment of throwing a die, if a multiple of 3 comes up, throw the die again and if any other number comes, toss a coin.

    Total outcomes

    ={(1H),(1T),(2H),(2T),(31),(32),(33),(34),(35),(36),(4H),(4T),(5H),(5T),(61),(62),(63),(64),(65),(66)}

    Total number of outcomes =20

    Let A be a event when coin shows a tail.

    A={((1T),(2T),(4T),(5T)}

    Let B be a event that ‘at least one die shows a 3’.

    B={(31),(32),(33),(34),(35),(36),(63)}

    n(B)=7

    P(B)=720

    AB=ϕ

    n(AB)=0

    P(AB)=020=0

    P(A|B)=P(AB)P(B)

    P(A|B)=0720

    P(A|B)=0

    Question 16: In the following Exercise 16 choose the correct answer:

    If P(A)=12,P(B)=0, then P(AB) is

    (A) 0

    (B) 12

    (C) notdefined

    (D) 1

    Answer:

    It is given that

    P(A)=12,P(B)=0,

    P(A|B)=P(AB)P(B)

    P(A|B)=P(AB)0

    Hence, P(AB) is not defined .

    Thus, correct option is C.

    Question 17: In the following Exercise 17 choose the correct answer:

    If A and B are events such that P(AB)=P(BA), then

    (A) AB but AB

    (B) A=B

    (C) AB=ψ

    (D) P(A)=P(B)

    Answer:

    It is given that P(AB)=P(BA),

    P(AB)P(B) =P(AB)P(A)

    P(A)=P(B)

    Hence, option D is correct.

    Topics Covered in Chapter 13 Exercise 13.1

    Exercise 13.1 deals with Conditional Probability. Below, we have a summary of the essential points from the material:

    1. Conditional Probability

    • Formula:

    P(AB)=P(AB)P(B), provided P(B)0

    2. Multiplication Theorem on Probability

    P(AB)=P(B)P(AB)=P(A)P(BA)

    3. Independent Events

    • Events A and B are independent if:
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    P(AB)=P(A)P(B)

    4. Application-Based Questions

    • Real-life situations involving conditional probability (e.g., cards, dice, drawing balls from a bag)

    5. Basic Probability Rules Used Alongside Conditional Probability

    • Complementary events: P(A)=1P(A)
    • Addition rule: P(AB)=P(A)+P(B)P(AB)

    Also Read

    Also see-

    NCERT Solutions of Class 12 Subject Wise

    CBSE Class 12th Syllabus: Subjects & Chapters
    Select your preferred subject to view the chapters

    Frequently Asked Questions (FAQs)

    Q: What is weightage of probability in CBSE Class 12 Maths board exam?
    A:

    Probability has 10 marks weightage in the CBSE Class 12 Maths final board exam.

    Q: How many exercises are there in the NCERT Class 12 Maths chapter 13 Probability ?
    A:

    There are 6 exercises including a miscellaneous exercise in the NCERT Class 12 Maths chapter 13 Probability.

    Q: How many questions are covered in Probability Exercise 13.1 ?
    A:

    There are 17 questions in NCERT Class 12 Maths chapter 13 exercise 13.1.

    Q: Where can I get NCERT Exemplar solutions for Class 12 Maths probability?
    Q: What is Conditional probability?
    A:

    The conditional probability of an event is the probability of that event given that the other event happened

    Q: What do you mean by Independent Events ?
    A:

    Two events are called independent events if they exist such that the probability of occurrence of one event is not dependent on the occurrence of another event.

    Q: What do you mean by Null Event ?
    A:

    If the probability of occurrence of an event is zero then such event is called a null event.

    Q: What do you mean by Certain Event ?
    A:

    An event is said to be a certain event when all possible outcomes are favorable to the event.

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