# NCERT solutions for Class 12 Maths chapter 13 - Probability [Latest edition]

#### Chapters ## Chapter 13: Probability

[Pages 538 - 540]

### NCERT solutions for Class 12 Maths Chapter 13 Probability [Pages 538 - 540]

Q 1 | Page 538

Given that E and F are events such that P(E) = 0.6, P(F) = 0.3 and P(E ∩ F) = 0.2, find P (E|F) and P(F|E).

Q 3.1 | Page 538

If P(A) = 0.8, P(B) = 0.5 and P(B|A) = 0.4, find P(A ∩ B)

Q 3.2 | Page 538

If P(A) = 0.8, P(B) = 0.5 and P(B|A) = 0.4, find P(A|B)

Q 3.3 | Page 538

If P(A) = 0.8, P(B) = 0.5 and P(B|A) = 0.4, find  P(A ∪ B)

Q 4 | Page 538

Evaluate P (A ∪ B), if 2P (A) = P (B) = 5/13 and P(A|B) = 2/5

Q 5 | Page 538

If P(A) = 6/11, P(B) = 5/11 and and P(A ∪ B) = 7/11 find

(i) P(A ∩ B)

(ii) P(A|B)

(iii) P(B|A)

Q 6.1 | Page 538

A coin is tossed three times, where E: head on third toss, F: heads on first two tosses

Q 6.2 | Page 538

A coin is tossed three times, where E: at least two heads, F: at most two heads

Q 6.3 | Page 538

A coin is tossed three times, where E: at most two tails, F: at least one tail

Q 7.1 | Page 539

Two coins are tossed once, where E: tail appears on one coin, F: one coin shows head

Q 7.2 | Page 539

Two coins are tossed once, where E: not tail appears, F: no head appears

Q 8 | Page 539

A die is thrown three times, E: 4 appears on the third toss, F: 6 and 5 appears respectively on first two tosses

Q 9 | Page 539

Mother, father and son line up at random for a family picture E: son on one end, F: father in middle

Q 10.1 | Page 539

A black and a red dice are rolled. Find the conditional probability of obtaining a sum greater than 9, given that the black die resulted in a 5.

Q 10.2 | Page 539

A black and a red dice are rolled.  Find the conditional probability of obtaining the sum 8, given that the red die resulted in a number less than 4.

Q 11.1 | Page 539

A fair die is rolled. Consider events E = {1, 3, 5}, F = {2, 3} and G = {2, 3, 4, 5} Find P (E|F) and P (F|E)

Q 11.2 | Page 539

A fair die is rolled. Consider events E = {1, 3, 5}, F = {2, 3} and G = {2, 3, 4, 5} Find  P (E|G) and P (G|E)

Q 11.3 | Page 539

A fair die is rolled. Consider events E = {1, 3, 5}, F = {2, 3} and G = {2, 3, 4, 5} Find P ((E ∪ F)|G) and P ((E ∩ G)|G)

Q 12 | Page 539

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? Give that
(i) the youngest is a girl.
(ii) at least one is a girl.

Q 13 | Page 539

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?

Q 14 | Page 539

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

Q 15 | Page 539

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’.

Q 16 | Page 539

If P(A) = 1/2,  P(B) = 0, then P(A|B) is

(A) 0

(B) 1/2

(C) not defined

(D) 1

Q 17 | Page 540

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

(A) A ⊂ B but A ≠ B

(B) A = B

(C) A ∩ B = Φ

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

[Pages 546 - 548]

### NCERT solutions for Class 12 Maths Chapter 13 Probability [Pages 546 - 548]

Q 1 | Page 546

If P(A)  = 3/5 and P(B) = 1/5 , find P (A ∩ B) if A and B are independent events.

Q 2 | Page 546

Two cards are drawn at random and without replacement from a pack of 52 playing cards. Find the probability that both the cards are black.

Q 3 | Page 546

A box of oranges is inspected by examining three randomly selected oranges drawn without replacement. If all the three oranges are good, the box is approved for sale, otherwise, it is rejected. Find the probability that a box containing 15 oranges out of which 12 are good and 3 are bad ones will be approved for sale

Q 4 | Page 546

A fair coin and an unbiased die are tossed. Let A be the event ‘head appears on the coin’ and B be the event ‘3 on the die’. Check whether A and B are independent events or not.

Q 5 | Page 546

A die, whose faces are marked 1, 2, 3 in red and 4, 5, 6 in green is tossed. Let A be the event "number obtained is even" and B be the event "number obtained is red". Find if A and B are independent events.

Q 7 | Page 547

Given that the events A and B are such that P(A) = 12, PA∪B=35 and P (B) = p. Find p if they are (i) mutually exclusive (ii) independent.

Q 8. | Page 547

Let A and B be independent events with P (A) = 0.3 and P (B) = 0.4. Find

1. P (A ∩ B)
2. P (A ∪ B)
3. P (A | B)
4. P (B | A)
Q 9 | Page 547

If A and B are two events such that P(A) = 1/4, P(B) = 1/2 and and P(A ∩ B) = 1/8  , find P (not A and not B)

Q 10 | Page 547

Events A and B are such that P(A) = 1/2, P(B) = 7/12 and P("not A or not B") = 1/4 . State whether A and B are independent?

Q 11. | Page 547

Given two independent events A and B such that P (A) = 0.3, P (B) = 0.6. Find

1. P (A and B)
2. P(A and not B)
3. P(A or B)
4. P(neither A nor B)
Q 12 | Page 547

A die is tossed thrice. Find the probability of getting an odd number at least once.

Q 13 | Page 547

Two balls are drawn at random with replacement from a box containing 10 black and 8 red balls. Find the probability that

(i) both balls are red.

(ii) first ball is black and second is red.

(iii) one of them is black and other is red.

Q 13.2 | Page 546

Let E and F be events with P(E) = 3/5, P(F) = 3/10 and P(E ∩ F) = 1/5.  Are E and F independent?

Q 14 | Page 547

Probability of solving specific problem independently by A and B are 1/2 and 1/3 respectively. If both try to solve the problem independently, find the probability that

(i) the problem is solved (ii) exactly one of them solves the problem.

Q 15. (i) | Page 547

One card is drawn at random from a well-shuffled deck of 52 cards. In which of the following case is the events E and F independent?

E : ‘the card drawn is a spade’

F : ‘the card drawn is an ace’

Q 15. (ii) | Page 548

One card is drawn at random from a well-shuffled deck of 52 cards. In which of the following case is the events E and F independent?

E : ‘the card drawn is black’

F : ‘the card drawn is a king’

Q 15. (iii) | Page 547

One card is drawn at random from a well-shuffled deck of 52 cards. In which of the following case is the events E and F independent?

E : ‘the card drawn is a king or queen’

F : ‘the card drawn is a queen or jack’

Q 16.1 | Page 548

In a hostel, 60% of the students read Hindi newspaper, 40% read English newspaper and 20% read both Hindi and English news papers. A student is selected at random.

Find the probability that she reads neither Hindi nor English news papers.

Q 16.2 | Page 548

In a hostel, 60% of the students read Hindi newspaper, 40% read English newspaper and 20% read both Hindi and English news papers. A student is selected at random. If she reads Hindi news paper, find the probability that she reads English news paper.

Q 16.3 | Page 548

In a hostel, 60% of the students read Hindi newspaper, 40% read English newspaper and 20% read both Hindi and English news papers. A student is selected at random.

If she reads English news paper, find the probability that she reads Hindi news paper.

Q 17 | Page 548

The probability of obtaining an even prime number on each die, when a pair of dice is rolled is

(A) 0

(B) 1/3

(C) 1/12

(D) 1/36

Q 18 | Page 548

Two events A and B will be independent, if

(A) A and B are mutually exclusive

(B) P(A'B') = [1 - P(A)][1-P(B)]

(C) P(A) = P(B)

(D) P(A) + P(B) = 1

[Pages 555 - 557]

### NCERT solutions for Class 12 Maths Chapter 13 Probability [Pages 555 - 557]

Q 1 | Page 555

An urn contains 5 red and 5 black balls. A ball is drawn at random, its colour is noted and is returned to the urn. Moreover, 2 additional balls of the colour drawn are put in the urn and then a ball is drawn at random. What is the probability that the second ball is red?

Q 2 | Page 556

A bag contains 4 red and 4 black balls, another bag contains 2 red and 6 black balls. One of the two bags is selected at random and a ball is drawn from the bag which is found to be red. Find the probability that the ball is drawn from the first bag.

Q 3 | Page 556

Of the students in a college, it is known that 60% reside in hostel and 40% are day scholars (not residing in hostel). Previous year results report that 30% of all students who reside in hostel attain A grade and 20% of day scholars attain A grade in their annual examination. At the end of the year, one student is chosen at random from the college and he has an A grade, what is the probability that the student is hostler?

Q 4 | Page 556

In answering a question on a multiple choice test, a student either knows the answer or guesses. Let 3/4 be the probability that he knows the answer and 1/4 be the probability that he guesses. Assuming that a student who guesses at the answer will be correct with probability 1/4 What is the probability that the student knows the answer given that he answered it correctly?

Q 5 | Page 556

A laboratory blood test is 99% effective in detecting a certain disease when it is in fact, present. However, the test also yields a false positive result for 0.5% of the healthy person tested (that is, if a healthy person is tested, then, with probability 0.005, the test will imply he has the disease). If 0.1 percent of the population actually has the disease, what is the probability that a person has the disease given that his test result is positive?

Q 6 | Page 556

There are three coins. One is two headed coin (having head on both faces), another is a biased coin that comes up heads 75% of the time and third is an unbiased coin. One of the three coins is chosen at random and tossed, it shows heads, what is the probability that it was the two headed coin?

Q 7 | Page 556

An insurance company insured 2000 scooter drivers, 4000 car drivers and 6000 truck drivers. The probability of accidents are 0.01, 0.03 and 0.15 respectively. One of the insured persons meets with an accident. What is the probability that he is a scooter driver?

Q 8 | Page 556

A factory has two machines A and B. Past record shows that machine A produced 60% of the items of output and machine B produced 40% of the items. Further, 2% of the items produced by machine A and 1% produced by machine B were defective. All the items are put into one stockpile and then one item is chosen at random from this and is found to be defective. What is the probability that was produced by machine B?

Q 9 | Page 556

Two groups are competing for the position on the board of directors of a corporation. The probabilities that the first and the second groups will win are 0.6 and 0.4 respectively. Further, if the first group wins, the probability of introducing a new product is 0.7 and the corresponding probability is 0.3 if the second group wins. Find the probability that the new product introduced was by the second group.

Q 10 | Page 557

Suppose a girl throws a die. If she gets a 5 or 6, she tosses a coin three times and notes the number of heads. If she gets 1, 2, 3 or 4, she tosses a coin once and notes whether a head or tail is obtained. If she obtained exactly one head, what is the probability that she threw 1, 2, 3 or 4 with the die?

Q 11 | Page 557

A manufacturer has three machine operators A, B and C. The first operator A produces 1% defective items, where as the other two operators B and C produce 5% and 7% defective items respectively. A is on the job for 50% of the time, B is on the job for 30% of the time and C is on the job for 20% of the time. A defective item is produced, what is the probability that was produced by A?

Q 12 | Page 557

A card from a pack of 52 cards is lost. From the remaining cards of the pack, two cards are drawn and are found to be both diamonds. Find the probability of the lost card being a diamond.

Q 13 | Page 557

Probability  that A speaks truth is 4/5 . A coin is tossed. A reports that a head appears. The probability that actually there was head is

A. 4/5

B. 1/2

C. 1/5

D. 2/5

Q 14 | Page 557

If A and B are two events such that A ⊂ B and P (B) ≠ 0, then which of the following is correct?

A. P(A |B) = (P(B))/(P(A))

B. P(A|B) < P(A)

C. P(A|B) >= P(A)

D. None of these

[Pages 569 - 571]

### NCERT solutions for Class 12 Maths Chapter 13 Probability [Pages 569 - 571]

Q 1.1 | Page 569

State the following are not the probability distributions of a random variable. Give reasons for your answer.

 X 0 1 2 P (X) 0.4 0.4 0.2
Q 1.2 | Page 569

State the following are not the probability distributions of a random variable. Give reasons for your answer.

 X 0 1 2 3 4 P(X) 0.1 0.5 0.2 -0.1 0.3
Q 1.3 | Page 569

State the following are not the probability distributions of a random variable. Give reasons for your answer.

 Y -1 0 1 P(Y) 0.6 0.1 0.2
Q 1.4 | Page 569

State the following are not the probability distributions of a random variable. Give reasons for your answer.

 Z 3 2 1 0 -1 P(Z) 0.3 0.2 0.4 0.1 0.05
Q 2 | Page 570

An urn contains 5 red and 2 black balls. Two balls are randomly drawn. Let X represents the number of black balls. What are the possible values of X? Is X a random variable?

Q 3 | Page 570

Let X represent the difference between the number of heads and the number of tails when a coin is tossed 6 times. What are the possible values of X?

Q 4.1 | Page 570

Find the probability distribution of number of heads in two tosses of a coin.

Q 4.2 | Page 570

Find the probability distribution of number of tails in the simultaneous tosses of three coins.

Q 4.3 | Page 570

Find the probability distribution of number of heads in four tosses of a coin

Q 5 | Page 570

Find the probability distribution of the number of successes in two tosses of a die, where a success is defined as

(i) number greater than 4

(ii) six appears on at least one die

Q 6 | Page 570

From a lot of 30 bulbs which include 6 defectives, a sample of 4 bulbs is drawn at random with replacement. Find the probability distribution of the number of defective bulbs.

Q 7 | Page 570

A coin is biased so that the head is 3 times as likely to occur as tail. If the coin is tossed twice, find the probability distribution of number of tails.

Q 8 | Page 570

A random variable X has the following probability distribution.

 X 0 1 2 3 4 5 6 7 P(X) 0 k 2k 2k 3k k2 2k2 7k2 + k

Determine

(i) k

(ii) P (X < 3)

(iii) P (X > 6)

(iv) P (0 < X < 3)

Q 9. | Page 571

The random variable X has probability distribution P(X) of the following form, where k is some number:

P(X = x) {(k, if x =0),(2k, if x =1),(3k, if x = 2),(0, "otherwise"):}

1. Determine the value of 'k'.
2. Find P(X < 2), P(X ≥ 2), P(X ≤ 2).
Q 11 | Page 571

Two dice are thrown simultaneously. If X denotes the number of sixes, find the expectation of X.

Q 12 | Page 571

Two numbers are selected at random (without replacement) from the first six positive integers. Let X denotes the larger of the two numbers obtained. Find E(X).

Q 13 | Page 571

Let X denotes the sum of the numbers obtained when two fair dice are rolled. Find the variance and standard deviation of X.

Q 14 | Page 571

A class has 15 students whose ages are 14, 17, 15, 14, 21, 17, 19, 20, 16, 18, 20, 17, 16, 19 and 20 years. One student is selected in such a manner that each has the same chance of being chosen and the age X of the selected student is recorded. What is the probability distribution of the random variable X? Find mean, variance and standard deviation of X.

Q 15 | Page 571

In a meeting, 70% of the members favour and 30% oppose a certain proposal. A member is selected at random and we take X = 0 if he opposed, and X = 1 if he is in favour. Find E(X) and Var(X).

Q 16 | Page 571

The mean of the numbers obtained on throwing a die having written 1 on three faces, 2 on two faces and 5 on one face is

A) 1

(B) 2

(C) 5

(D) 8/3

Q 17 | Page 571

Suppose that two cards are drawn at random from a deck of cards. Let X be the number of aces obtained. Then the value of E(X) is

(A) 37/221

(B) 5/13

(C) 1/13

(D) 2/13

[Pages 576 - 578]

### NCERT solutions for Class 12 Maths Chapter 13 Probability [Pages 576 - 578]

Q 1 | Page 576

A die is thrown 6 times. If ‘getting an odd number’ is a success, what is the probability of
(i) 5 successes?
(ii) at least 5 successes?
(iii) at most 5 successes?

Q 2 | Page 577

A pair of dice is thrown 4 times. If getting a doublet is considered a success, find the probability of two successes.

Q 3 | Page 577

There are 5% defective items in a large bulk of items. What is the probability that a sample of 10 items will include not more than one defective item?

Q 4 | Page 577

Five cards are drawn successively with replacement from a well-shuffled deck of 52 cards. What is the probability that

(i) all the five cards are spades?

(ii) only 3 cards are spades?

Q 5 | Page 577

The probability that a bulb produced by a factory will fuse after 150 days of use is 0.05. What is the probability that out of 5 such bulbs

(i) none

(ii) not more than one

(iii) more than one

(iv) at least one

will fuse after 150 days of use.

Q 6 | Page 577

A bag consists of 10 balls each marked with one of the digits 0 to 9. If four balls are drawn successively with replacement from the bag, what is the probability that none is marked with the digit 0?

Q 7 | Page 577

In an examination, 20 questions of true-false type are asked. Suppose a student tosses a fair coin to determine his answer to each question. If the coin falls heads, he answers ‘true’; if it falls tails, he answers ‘false’. Find the probability that he answers at least 12 questions correctly.

Q 8 | Page 577

Suppose X has a binomial distribution B(6, 1/2). Show that X = 3 is the most likely outcome.

(Hint: P(X = 3) is the maximum among all P (xi), xi = 0, 1, 2, 3, 4, 5, 6)

Q 9 | Page 577

On a multiple choice examination with three possible answers for each of the five questions, what is the probability that a candidate would get four or more correct answers just by guessing?

Q 10 | Page 577

A person buys a lottery ticket in 50 lotteries, in each of which his chance of winning a prize is 1/100. What is the probability that he will in a prize (a) at least once (b) exactly once (c) at least twice?

Q 11 | Page 578

Find the probability of getting 5 exactly twice in 7 throws of a die.

Q 12 | Page 578

Find the probability of throwing at most 2 sixes in 6 throws of a single die.

Q 13 | Page 578

It is known that 10% of certain articles manufactured are defective. What is the probability that in a random sample of 12 such articles, 9 are defective?

Q 14 | Page 578

In a box containing 100 bulbs, 10 are defective. The probability that out of a sample of 5 bulbs, none is defective is

(A) 10−1

(B) (1/2)^5

(C) (9/10)^5

(D) 9/10

Q 15 | Page 578

The probability that a student is not a swimmer is 1/5 . Then the probability that out of five students, four are swimmers is

(A) ""^5C_4 (4/5)^4 1/5

(B) (4/5)^4 1/5

(C) ""^5C_1 1/5 (4/5)^4 `

(D) None of these

[Pages 582 - 584]

### NCERT solutions for Class 12 Maths Chapter 13 Probability [Pages 582 - 584]

Q 1.1 | Page 582

A and B are two events such that P (A) ≠ 0. Find P (B|A), if  A is a subset of B

Q 1.2 | Page 582

A and B are two events such that P (A) ≠ 0. Find P (B|A), if A ∩ B = Φ

Q 2.1 | Page 582

A couple has two children, Find the probability that both children are males, if it is known that at least one of the children is male.

Q 2.2 | Page 582

A couple has two children, Find the probability that both children are females, if it is known that the elder child is a female.

Q 3 | Page 582

Suppose that 5% of men and 0.25% of women have grey hair. A haired person is selected at random. What is the probability of this person being male?

Assume that there are equal number of males and females.

Q 4 | Page 582

Suppose that 90% of people are right-handed. What is the probability that at most 6 of a random sample of 10 people are right-handed?

Q 5 | Page 583

An urn contains 25 balls of which 10 balls bear a mark ‘X’ and the remaining 15 bear a mark ‘Y’. A ball is drawn at random from the urn, its mark is noted down and it is replaced. If 6 balls are drawn in this way, find the probability that

(i) all will bear ‘X’ mark.

(ii) not more than 2 will bear ‘Y’ mark.

(iii) at least one ball will bear ‘Y’ mark

(iv) the number of balls with ‘X’ mark and ‘Y’ mark will be equal.

Q 6 | Page 583

In a hurdle race, a player has to cross 10 hurdles. The probability that he will clear each hurdle is 5/6 . What is the probability that he will knock down fewer than 2 hurdles?

Q 7 | Page 583

A die is thrown again and again until three sixes are obtained. Find the probability of obtaining the third six in the sixth throw of the die.

Q 8 | Page 583

If a leap year is selected at random, what is the chance that it will contain 53 Tuesdays?

Q 9 | Page 583

An experiment succeeds twice as often as it fails. Find the probability that in the next six trials, there will be at least 4 successes.

Q 10 | Page 583

How many times must a man toss a fair coin so that the probability of having at least one head is more than 90%?

Q 11 | Page 583

In a game, a man wins a rupee for a six and loses a rupee for any other number when a fair die is thrown. The man decided to throw a die thrice but to quit as and when he gets a six. Find the expected value of the amount he wins/loses.

Q 12 | Page 583

Suppose we have four boxes. A, B, C and D containing coloured marbles as given below:

 Box Marble colour Red White Black A 1 6 3 B 6 2 2 C 8 1 1 D 0 6 4

One of the boxes has been selected at random and a single marble is drawn from it. If the marble is red, what is the probability that it was drawn from box A?, box B?, box C?

Q 13 | Page 584

Assume that the chances of the patient having a heart attack are 40%. It is also assumed that a meditation and yoga course reduce the risk of heart attack by 30% and prescription of certain drug reduces its chances by 25%. At a time a patient can choose any one of the two options with equal probabilities. It is given that after going through one of the two options the patient selected at random suffers a heart attack. Find the probability that the patient followed a course of meditation and yoga?

Q 14 | Page 584

If each element of a second order determinant is either zero or one, what is the probability that the value of the determinant is positive? (Assume that the individual entries of the determinant are chosen independently, each value being assumed with probability 1/2).

Q 15 | Page 584

An electronic assembly consists of two subsystems, say, A and B. From previous testing procedures, the following probabilities are assumed to be known:

P(A fails) = 0.2

P(B fails alone) = 0.15

P(A and B fail) = 0.15

Evaluate the following probabilities

(i) P(A fails| B has failed)

(ii) P(A fails alone)

Q 16 | Page 584

Bag I contains 3 red and 4 black balls and Bag II contains 4 red and 5 black balls. One ball is transferred from Bag I to Bag II and then a ball is drawn from Bag II. The ball so drawn is found to be red in colour. Find the probability that the transferred ball is black.

Q 17 | Page 584

If A and B are two events such that P (A) ≠ 0 and P(B|A) = 1, then.

(A) A ⊂ B

(B) B ⊂ A

(C) B = Φ

(D) A = Φ

Q 18 | Page 584

If P (A|B) > P (A), then which of the following is correct:

(A) P (B|A) < P (B)

(B) P (A ∩ B) < P (A).P (B)

(C) P (B|A) > P (B)

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

Q 19 | Page 584

If A and B are any two events such that P (A) + P (B) − P (A and B) = P (A), then

(A) P (B|A) = 1

(B) P (A|B) = 1

(C) P (B|A) = 0

(D) P (A|B) = 0

## Chapter 13: Probability ## NCERT solutions for Class 12 Maths chapter 13 - Probability

NCERT solutions for Class 12 Maths chapter 13 (Probability) include all questions with solution and detail explanation. This will clear students doubts about any question and improve application skills while preparing for board exams. The detailed, step-by-step solutions will help you understand the concepts better and clear your confusions, if any. Shaalaa.com has the CBSE Class 12 Maths solutions in a manner that help students grasp basic concepts better and faster.

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Concepts covered in Class 12 Maths chapter 13 Probability are Variance of a Random Variable, Probability Examples and Solutions, Conditional Probability, Multiplication Theorem on Probability, Independent Events, Random Variables and Its Probability Distributions, Mean of a Random Variable, Bernoulli Trials and Binomial Distribution, Introduction of Probability, Properties of Conditional Probability, Bayes’ Theorem.

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