Probability Class 12

Master Probability Class 12 with comprehensive NCERT Solutions, Practice Questions, MCQs, Sample Papers, Case Based Questions, and Video lessons.

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Probability Class 12 – NCERT Solutions

Each question below opens its complete step-by-step Teachoo solution.

Ex 13.1

21 questions

Ex 13.1, 1

Given that E and F are events such that $\mathrm{P}(\mathrm{E})=0.6, \mathrm{P}(\mathrm{F})=0.3$ and $\mathrm{P}(\mathrm{E} \cap \mathrm{F})=0.2$, find $\mathrm{P}(\mathrm{E} \mid \mathrm{F})$ and $\mathrm{P}(\mathrm{F} \mid \mathrm{E})$

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Ex 13.1, 2

Compute $\mathrm{P}(\mathrm{A} \mid \mathrm{B})$, if $\mathrm{P}(\mathrm{B})=0.5$ and $\mathrm{P}(\mathrm{A} \cap \mathrm{B})=0.32$

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Ex 13.1, 3

If $P(A)=0.8, P(B)=0.5$ and $P(B \mid A)=0.4$, find
(i) $\mathrm{P}(\mathrm{A} \cap \mathrm{B})$
(ii) $\mathrm{P}(\mathrm{A} \mid \mathrm{B})$
(iii) $\mathrm{P}(\mathrm{A} \cup \mathrm{B})$

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Ex 13.1, 4

Evaluate $\mathrm{P}(\mathrm{A} \cup \mathrm{B})$, if $2 \mathrm{P}(\mathrm{A})=\mathrm{P}(\mathrm{B})=\frac{5}{13}$ and $\mathrm{P}(\mathrm{A} \mid \mathrm{B})=\frac{2}{5}$

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Ex 13.1, 5

If $\mathrm{P}(\mathrm{A})=\frac{6}{11}, \mathrm{P}(\mathrm{B})=\frac{5}{11}$ and $\mathrm{P}(\mathrm{A} \cup \mathrm{B})=\frac{7}{11}$, find
(i) $\mathrm{P}(\mathrm{A} \cap \mathrm{B})$
(ii) $\mathrm{P}(\mathrm{A} \mid \mathrm{B})$
(iii) $\mathrm{P}(\mathrm{BIA})$

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Ex 13.1, 6 (i)

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

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Ex 13.1, 6 (ii)

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

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Ex 13.1, 6 (iii)

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

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Ex 13.1, 7 (i)

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

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Ex 13.1, 7 (ii)

Two coins are tossed once, where
(ii) E : no tail appears, & F : no head appears

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Ex 13.1, 8

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

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Ex 13.1, 9

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

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Ex 13.1, 10 (a)

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.
(b) Find the conditional probability of obtaining the sum 8, given that the red die resulted in a number less than 4.

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Ex 13.1, 10 (b)

A black and a red dice are rolled. (b) Find the conditional probability of obtaining the sum 8, given that the red die resulted in a number less than 4.Our Sample Space is

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Ex 13.1, 11

A fair die is rolled. Consider events $\mathrm{E}=\{1,3,5\}, \mathrm{F}=\{2,3\}$ and $\mathrm{G}=\{2,3,4,5\}$ Find
(i) $\mathrm{P}(\mathrm{E} \mid \mathrm{F})$ and $\mathrm{P}(\mathrm{F} \mid \mathrm{E})$
(ii) $\mathrm{P}(\mathrm{E} \mid \mathrm{G})$ and $\mathrm{P}(\mathrm{G} \mid \mathrm{E})$
(iii) $\mathrm{P}((\mathrm{E} \cup \mathrm{F}) \mid \mathrm{G})$ and $\mathrm{P}((\mathrm{E} \cap \mathrm{F}) \mid \mathrm{G})$

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Ex 13.1, 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,
(ii) at least one is a girl?

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Ex 13.1, 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?

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Ex 13.1, 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'.

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Ex 13.1, 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'.

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Ex 13.1, 16 (MCQ)

If $\mathrm{P}(\mathrm{A})=\frac{1}{2}, \mathrm{P}(\mathrm{B})=0$, then $\mathrm{P}(\mathrm{A} \mid \mathrm{B})$ is
(A) 0
(B) $\frac{1}{2}$
(C) not defined
(D) 1

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Ex 13.1, 17 (MCQ)

If A and B are events such that $\mathrm{P}(\mathrm{A} \mid \mathrm{B})=\mathrm{P}(\mathrm{B} \mid \mathrm{A})$, then
(A) $\mathrm{A} \subset \mathrm{B}$ but $\mathrm{A} \neq \mathrm{B}$
(B) $\mathrm{A}=\mathrm{B}$
(C) $\mathrm{A} \cap \mathrm{B}=\phi$
(D) $\mathrm{P}(\mathrm{A})=\mathrm{P}(\mathrm{B})$

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Ex 13.2

23 questions

Ex 13.2, 1

If $P(A)=\frac{3}{5}$ and $P(B)=\frac{1}{5}$, find $P(A \cap B)$ if $A$ and $B$ are independent events.

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Ex 13.2, 2

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.

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Ex 13.2, 3

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.

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Ex 13.2, 4

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.

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Ex 13.2, 5

A die marked 1, 2, 3 in red and 4, 5, 6 in green is tossed. Let A be the event, 'the number is even,' and B be the event, 'the number is red'. Are A and B independent?

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Ex 13.2, 6

Let E and F be events with $\mathrm{P}(\mathrm{E})=\frac{3}{5}, \mathrm{P}(\mathrm{F})=\frac{3}{10}$ and $\mathrm{P}(\mathrm{E} \cap \mathrm{F})=\frac{1}{5}$. Are E and F independent?

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Ex 13.2, 7

Given that the events A and B are such that $\mathrm{P}(\mathrm{A})=\frac{1}{2}, \mathrm{P}(\mathrm{A} \cup \mathrm{B})=\frac{3}{5}$ and $\mathrm{P}(\mathrm{B})=p$. Find $p$ if they are (i) mutually exclusive (ii) independent.

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Ex 13.2, 8

Let A and B be independent events with $\mathrm{P}(\mathrm{A})=0.3$ and $\mathrm{P}(\mathrm{B})=0.4$. Find
(i) $\mathrm{P}(\mathrm{A} \cap \mathrm{B})$
(ii) $\mathrm{P}(\mathrm{A} \cup \mathrm{B})$
(iii) $\mathrm{P}(\mathrm{A} \mid \mathrm{B})$
(iv) $\mathrm{P}(\mathrm{B} \mid \mathrm{A})$

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Ex 13.2, 9

If A and B are two events such that $\mathrm{P}(\mathrm{A})=\frac{1}{4}, \mathrm{P}(\mathrm{B})=\frac{1}{2}$ and $\mathrm{P}(\mathrm{A} \cap \mathrm{B})=\frac{1}{8}$, find P (not A and not B).

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Ex 13.2, 10

Events A and B are such that $\mathrm{P}(\mathrm{A})=\frac{1}{2}, \mathrm{P}(\mathrm{B})=\frac{7}{12}$ and $\mathrm{P}(\operatorname{not} \mathrm{A}$ or not B$)=\frac{1}{4}$. State whether A and B are independent?

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Ex 13.2, 11 (i)

Given two independent events A and B such that $\mathrm{P}(\mathrm{A})=0.3, \mathrm{P}(\mathrm{B})=0.6$. Find
(i) $\mathrm{P}(\mathrm{A}$ and B$)$

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Ex 13.2, 11 (ii)

Given two independent events A and B such that $\mathrm{P}(\mathrm{A})=0.3, \mathrm{P}(\mathrm{B})=0.6$. Find
(ii) $\mathrm{P}(\mathrm{A}$ and not B$)$

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Ex 13.2, 11 (iii)

Given two independent events A and B such that $\mathrm{P}(\mathrm{A})=0.3, \mathrm{P}(\mathrm{B})=0.6$. Find
(iii) $\mathrm{P}(\mathrm{A}$ or B$)$

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Ex 13.2, 11 (iv)

Given two independent events A and B such that $\mathrm{P}(\mathrm{A})=0.3, \mathrm{P}(\mathrm{B})=0.6$. Find
(iv) P (neither A nor B)

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Ex 13.2, 12

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

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Ex 13.2, 13

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.

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Ex 13.2, 14

Probability of solving specific problem independently by A and B are $\frac{1}{2}$ and $\frac{1}{3}$ 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.

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Ex 13.2, 15 (i)

One card is drawn at random from a well shuffled deck of 52 cards. In which of the following cases are the events E and F independent?
(i) E : 'the card drawn is a spade'
F : 'the card drawn is an ace'

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Ex 13.2, 15 (ii)

One card is drawn at random from a well shuffled deck of 52 cards. In which of the following cases are the events E and F independent?
(ii) E : 'the card drawn is black'
F : 'the card drawn is a king'

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Ex 13.2, 15 (iii)

One card is drawn at random from a well shuffled deck of 52 cards. In which of the following cases are the events E and F independent?
(iii) E : 'the card drawn is a king or queen'
F : 'the card drawn is a queen or jack'.

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Ex 13.2, 16

In a hostel, $60 \%$ of the students read Hindi newspaper, $40 \%$ read English newspaper and $20 \%$ read both Hindi and English newspapers. A student is selected at random.
(a) Find the probability that she reads neither Hindi nor English newspapers.
(b) If she reads Hindi newspaper, find the probability that she reads English newspaper.
(c) If she reads English newspaper, find the probability that she reads Hindi newspaper.

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Ex 13.2, 17 (MCQ)

The probability of obtaining an even prime number on each die, when a pair of dice is rolled is
(A) 0
(B) $\frac{1}{3}$
(C) $\frac{1}{12}$
(D) $\frac{1}{36}$

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Ex 13.2, 18 (MCQ)

Two events A and B will be independent, if
(A) A and B are mutually exclusive
(B) $\mathrm{P}\left(\mathrm{A}^{\prime} \mathrm{B}^{\prime}\right)=[1-\mathrm{P}(\mathrm{A})][1-\mathrm{P}(\mathrm{B})]$
(C) $\mathrm{P}(\mathrm{A})=\mathrm{P}(\mathrm{B})$
(D) $\mathrm{P}(\mathrm{A})+\mathrm{P}(\mathrm{B})=1$

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Ex 13.3

14 questions

Ex 13.3, 1

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?

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Ex 13.3, 2

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.

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Ex 13.3, 3

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 a hostlier?

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Ex 13.3, 4

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

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Ex 13.3, 5

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 (i.e. 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 ?

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Ex 13.3, 6

There are three coins. One is a 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?

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Ex 13.3, 7

An insurance company insured 2000 scooter drivers, 4000 car drivers and 6000 truck drivers. The probability of an 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?

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Ex 13.3, 8

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 it was produced by machine B?

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Ex 13.3, 9

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.

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Ex 13.3, 10

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?

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Ex 13.3, 11

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 it was produced by A?

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Ex 13.3, 12

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.

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Ex 13.3, 13 (MCQ)

Probability that A speaks truth is $\frac{4}{5}$. A coin is tossed. A reports that a head appears. The probability that actually there was head is
(A) $\frac{4}{5}$
(B) $\frac{1}{2}$
(C) $\frac{1}{5}$
(D) $\frac{2}{5}$

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Ex 13.3, 14 (MCQ)

If A and B are two events such that A $\in \mathrm{B}$ and $\mathrm{P}(\mathrm{B}) \neq 0$, then which of the following is correct?
(A) $\mathrm{P}(\mathrm{A} \mid \mathrm{B})=\frac{\mathrm{P}(\mathrm{B})}{\mathrm{P}(\mathrm{A})}$
(B) $\mathrm{P}(\mathrm{A} \mid \mathrm{B})<\mathrm{P}(\mathrm{A})$
(C) $\mathrm{P}(\mathrm{A} \mid \mathrm{B}) \geq \mathrm{P}(\mathrm{A})$
(D) None of these

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Examples

24 questions

Example 1

If

$$
P(A)=\frac{7}{13},
\qquad
P(B)=\frac{9}{13}
$$

and

$$
P(A\cap B)=\frac{4}{13},
$$

evaluate

$$
P(A\mid B).
$$

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Example 2

A family has two children. What is the probability that both the children are boys, given that at least one of them is a boy?

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Example 3

Ten cards numbered $1$ to $10$ are placed in a box, mixed up thoroughly and then one card is drawn randomly. If it is known that the number on the drawn card is more than $3$, what is the probability that it is an even number?

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Example 4

In a school, there are $1000$ students, out of which $430$ are girls. It is known that out of $430$, $10\%$ of the girls study in Class XII. What is the probability that a student chosen randomly studies in Class XII, given that the chosen student is a girl?

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Example 5

A die is thrown three times. Events $A$ and $B$ are defined as below:
$$
A:\ 4\text{ on the third throw}
$$

$$
B:\ 6\text{ on the first and }5\text{ on the second throw}
$$

Find the probability of $A$, given that $B$ has already occurred.

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Example 6

A die is thrown twice and the sum of the numbers appearing is observed to be $6$. What is the conditional probability that the number $4$ has appeared at least once?

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Example 7

Consider the experiment of tossing a coin. If the coin shows head, toss it again, but if it shows tail, then throw a die. Find the conditional probability of the event that “the die shows a number greater than $4$”, given that “there is at least one tail”.

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Example 8

An urn contains $10$ black and $5$ white balls. Two balls are drawn from the urn one after the other without replacement. What is the probability that both the drawn balls are black?

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Example 9

Three cards are drawn successively, without replacement, from a pack of $52$ well-shuffled cards. What is the probability that the first two cards are kings and the third card drawn is an ace?

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Example 10

A die is thrown. If $E$ is the event “the number appearing is a multiple of $3$” and $F$ is the event “the number appearing is even”, then find whether $E$ and $F$ are independent.

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Example 11

An unbiased die is thrown twice. Let event $A$ be “odd number on the first throw” and $B$ be the event “odd number on the second throw”. Check the independence of the events $A$ and $B$.

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Example 12

Three coins are tossed simultaneously. Consider the events:

$$
E:\ \text{three heads or three tails}
$$

$$
F:\ \text{at least two heads}
$$

$$
G:\ \text{at most two heads}
$$

Of the pairs

$$
(E,F),\qquad(E,G)\qquad\text{and}\qquad(F,G),
$$

which are independent and which are dependent?

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Example 13

Prove that if $E$ and $F$ are independent events, then so are the events $E$ and $F'$.

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Example 14

If $A$ and $B$ are two independent events, then the probability of occurrence of at least one of $A$ and $B$ is given by

$$
1-P(A')P(B').
$$

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Example 15

A person has undertaken a construction job. The probabilities are $0.65$ that there will be a strike, $0.80$ that the construction job will be completed on time if there is no strike, and $0.32$ that the construction job will be completed on time if there is a strike. Determine the probability that the construction job will be completed on time.

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Example 16

Bag I contains $3$ red and $4$ black balls, while Bag II contains $5$ red and $6$ black balls. One ball is drawn at random from one of the bags and it is found to be red. Find the probability that it was drawn from Bag II.

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Example 17

Given three identical boxes I, II and III, each containing two coins. In Box I, both coins are gold coins; in Box II, both are silver coins; and in Box III, there is one gold and one silver coin. A person chooses a box at random and takes out a coin. If the coin is gold, what is the probability that the other coin in the box is also gold?

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Example 18

Suppose that the reliability of an HIV test is specified as follows:

Of people having HIV, $90\%$ of the tests detect the disease, but $10\%$ go undetected. Of people free of HIV, $99\%$ of the tests are judged HIV-negative, but $1\%$ are diagnosed as showing HIV-positive.

From a large population, of which only $0.1\%$ have HIV, one person is selected at random, given the HIV test, and the pathologist reports him/her as HIV-positive. What is the probability that the person actually has HIV?

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Example 19

In a factory which manufactures bolts, machines $A$, $B$ and $C$ manufacture respectively $25\%$, $35\%$ and $40\%$ of the bolts. Of their outputs, $5\%$, $4\%$ and $2\%$ are respectively defective bolts. A bolt is drawn at random from the product and is found to be defective. What is the probability that it was manufactured by machine $B$?

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Example 20

A doctor is to visit a patient. From past experience, it is known that the probabilities that he will come by train, bus, scooter or by other means of transport are respectively

$$
\frac{3}{10},\qquad
\frac{1}{5},\qquad
\frac{1}{10}
\qquad\text{and}\qquad
\frac{2}{5}.
$$

The probabilities that he will be late are

$$
\frac{1}{4},\qquad
\frac{1}{3}
\qquad\text{and}\qquad
\frac{1}{12},
$$

if he comes by train, bus and scooter respectively, but if he comes by other means of transport, then he will not be late. When he arrives, he is late. What is the probability that he comes by train?

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Example 21

A man is known to speak the truth $3$ out of $4$ times. He throws a die and reports that it is a six. Find the probability that it is actually a six.

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Example 22

Coloured balls are distributed in four boxes as shown in the following table:

$$
\begin{array}{c|cccc}
\text{Box} & \text{Black} & \text{White} & \text{Red} & \text{Blue}\\
\hline
\text{I} & 3 & 4 & 5 & 6\\
\text{II} & 2 & 2 & 2 & 2\\
\text{III} & 1 & 2 & 3 & 1\\
\text{IV} & 4 & 3 & 1 & 5
\end{array}
$$

A box is selected at random and then a ball is randomly drawn from the selected box. The colour of the ball is black. What is the probability that the ball drawn is from Box III?

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Example 23

$A$ and $B$ throw a die alternatively till one of them gets a $6$ and wins the game. Find their respective probabilities of winning, if $A$ starts first.

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Example 24

If a machine is correctly set up, it produces $90\%$ acceptable items. If it is incorrectly set up, it produces only $40\%$ acceptable items. Past experience shows that $80\%$ of the set-ups are correctly done. If, after a certain set-up, the machine produces $2$ acceptable items, find the probability that the machine is correctly set up.

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Miscellaneous

15 questions

Misc 1 (i)

A and B are two events such that $\mathrm{P}(\mathrm{A}) \neq 0$. Find $\mathrm{P}(\mathrm{B} \mid \mathrm{A})$, if
(i) A is a subset of B

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Misc 1 (ii)

A and B are two events such that $\mathrm{P}(\mathrm{A}) \neq 0$. Find $\mathrm{P}(\mathrm{B} \mid \mathrm{A})$, if
(ii) $\mathrm{A} \cap \mathrm{B}=\phi$

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Misc 2 (i)

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

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Misc 2 (ii)

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

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Misc 3

Suppose that 5\% of men and 0.25\% of women have grey hair. A grey 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.

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Misc 4

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?

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Misc 5

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

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Misc 6

Suppose we have four boxes $\mathrm{A}, \mathrm{B}, \mathrm{C}$ and D containing coloured marbles as given below:

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 ?

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Misc 7

Assume that the chances of a patient having a heart attack is 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?

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Misc 8

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 $\frac{1}{2}$ ).

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Misc 9

An electronic assembly consists of two subsystems, say, A and B. From previous testing procedures, the following probabilities are assumed to be known:
$$
\begin{aligned}
\mathrm{P}(\mathrm{~A} \text { fails }) & =0.2 \\
\mathrm{P}(\mathrm{~B} \text { fails alone }) & =0.15 \\
\mathrm{P}(\mathrm{~A} \text { and } \mathrm{B} \text { fail }) & =0.15
\end{aligned}
$$

Evaluate the following probabilities
(i) P(A failsIB has failed)
(ii) P (A fails alone)

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Misc 10

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.

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Misc 11 (MCQ)

If A and B are two events such that $\mathrm{P}(\mathrm{A}) \neq 0$ and $\mathrm{P}(\mathrm{B} \mid \mathrm{A})=1$, then
(A) $\mathrm{A} \subset \mathrm{B}$
(B) $\mathrm{B} \subset \mathrm{A}$
(C) $\mathrm{B}=\phi$
(D) $\mathrm{A}=\phi$

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Misc 12 (MCQ)

If $\mathrm{P}(\mathrm{A} \mid \mathrm{B})>\mathrm{P}(\mathrm{A})$, then which of the following is correct :
(A) $\mathrm{P}(\mathrm{B} \mid \mathrm{A})<\mathrm{P}(\mathrm{B})$
(B) $\mathrm{P}(\mathrm{A} \cap \mathrm{B})<\mathrm{P}(\mathrm{A}) \cdot \mathrm{P}(\mathrm{B})$
(C) $\mathrm{P}(\mathrm{B} \mid \mathrm{A})>\mathrm{P}(\mathrm{B})$
(D) $\mathrm{P}(\mathrm{B} \mid \mathrm{A})=\mathrm{P}(\mathrm{B})$

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Misc 13 (MCQ)

If A and B are any two events such that P(A)+ P(B)-P(A and B) = P(A), then
(A) $\mathrm{P}(\mathrm{B} \mid \mathrm{A})=1$
(B) $\mathrm{P}(\mathrm{A} \mid \mathrm{B})=1$
(C) $\mathrm{P}(\mathrm{B} \mid \mathrm{A})=0$
(D) $\mathrm{P}(\mathrm{A} \mid \mathrm{B})=0$

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Why Learn This With Teachoo?

Class 12 Probability develops conditional probability, multiplication rules, independence, total probability, Bayes’ Theorem, random variables and binomial distributions. Students move from counting equally likely outcomes to modelling dependent events and numerical probability distributions. Teachoo provides NCERT solutions, examples, miscellaneous questions and concept-wise explanations for each method.

Conditional probability and multiplication theorem

For P(B)>0, P(A|B)=P(A∩B)/P(B). The sample space is effectively restricted to B. Rearranging gives P(A∩B)=P(B)P(A|B)=P(A)P(B|A). For three events, the chain continues with probabilities conditioned on earlier events.

Events A and B are independent when P(A∩B)=P(A)P(B), equivalently P(A|B)=P(A) when denominators are valid. Independence is not the same as mutual exclusivity. Two non-zero mutually exclusive events cannot be independent because their intersection has probability zero.

Total probability and Bayes’ Theorem

If B₁,B₂,… form a partition of the sample space, then P(A)=ΣP(Bᵢ)P(A|Bᵢ). Bayes’ Theorem reverses conditioning:

P(Bᵢ|A)=P(Bᵢ)P(A|Bᵢ)/ΣP(Bⱼ)P(A|Bⱼ).

Tree diagrams help separate prior probabilities, likelihoods and posterior probabilities. Events in the partition must be mutually exclusive, exhaustive and have suitable non-zero probabilities.

Random variables and distributions

A random variable assigns a real number to each outcome. A discrete probability distribution lists possible x values with probabilities p(x)≥0 summing to 1. The expected value is E(X)=Σxp(x), and variance is E(X²)−[E(X)]².

For n independent Bernoulli trials with success probability p, X, the number of successes, has binomial probability P(X=r)=ⁿCᵣpʳqⁿ⁻ʳ, where q=1−p. Its mean is np and variance is npq.

Topics and resources on Teachoo

  • NCERT exercises, examples and miscellaneous solutions;

  • conditional probability;

  • multiplication theorem;

  • independent events;

  • partitions and total probability;

  • Bayes’ Theorem;

  • random variables and probability distributions;

  • mean and variance of a distribution;

  • Bernoulli trials and binomial distribution;

  • board, MCQ and case-based questions.

Learning outcomes

Students should be able to define conditional events, apply multiplication and Bayes formulas and distinguish independence from exclusivity. They should validate distributions, calculate expectation and variance and solve binomial-trial questions.

Board and entrance-exam preparation

Define events before using formulas. Draw a tree when an experiment has stages or different sources. Label conditional direction carefully: P(A|B) and P(B|A) answer different questions. For a distribution, verify non-negativity and total probability before calculating moments.

Common mistakes to avoid

Do not treat mutually exclusive events as independent. In Bayes questions, the denominator is total probability of the observed event. Binomial trials require fixed n, two outcomes, constant success probability and independence. Variance is E(X²)−[E(X)]², not E(X²)−E(X).

Deeper reasoning and concept connections

A student has understood Probability only when the idea can be moved between words, diagrams, examples and mathematical notation. Start with a concrete example, identify what changes and what remains fixed, represent the relationship clearly and then state the rule. This movement between representations is important because school and competency questions often present a familiar idea in an unfamiliar form.

The chapter should also be connected to earlier and later mathematics. Definitions supply the language, worked examples reveal the method, and mixed questions test whether the method can be selected without a hint. Instead of memorising the appearance of a solved question, ask what information triggered the method, which condition made it valid and how the answer could be checked. That makes learning transferable to later chapters rather than limited to one exercise.

How to solve unfamiliar and competency-based questions

Read the complete problem before calculating. Underline the quantities, conditions and command word—find, compare, construct, justify, estimate or prove. Rephrase the task in one sentence and choose a representation such as a table, labelled figure, number line, expression or graph. Solve in small steps, keeping units and labels visible.

For an application question, the final line must answer the situation, not only display a number. For an assertion–reason question, test the assertion and reason separately before deciding whether one explains the other. For an MCQ, eliminate options using definitions, signs, size estimates or boundary cases before performing long calculations. If the answer is visual, check it against the stated scale or construction conditions rather than the appearance of the drawing.

What complete mastery looks like

For Probability, a student should be able to define the central ideas in simple language, recognise them in different representations, solve routine questions accurately and explain the method used. They should also be able to correct a flawed solution, create an example satisfying given conditions and combine two ideas from the chapter in one problem. A reliable mastery test is to solve one direct question, one application question and one reasoning question without looking at notes, then explain all three aloud or in writing.

Keep a compact error log with four labels: concept, interpretation, calculation and presentation. Reattempt each error after a gap instead of rereading the answer immediately. Improvement comes from correcting the decision that caused the mistake, not from repeating questions whose method is already known.

Additional frequently asked questions

What should a student know before starting Probability?

Revise the definitions, number operations, diagrams or notation used at the beginning of the chapter. The prerequisite list should be short: if an earlier skill blocks progress, repair that skill with two or three focused questions and return to the chapter.

How can a student check an answer in Probability?

Use an independent check whenever possible: substitute the result, reverse the operation, estimate its size, compare it with the figure, test a simpler case or solve using another representation. A check should examine the mathematical condition, not merely repeat the same arithmetic.

How many questions are enough for strong preparation?

There is no fixed number. Stop counting questions and track coverage: every concept, every standard method, at least one mixed problem, one competency-based problem and every previously incorrect type should be solved independently. Ten varied, analysed questions are more valuable than fifty copied solutions.

How should Teachoo solutions be used without becoming dependent on them?

Attempt the question first and mark the exact step where progress stops. Read only enough of the solution to repair that step, close it and restart the question. Finally, solve a similar problem without help. This turns a solution into feedback rather than a substitute for thinking.

Frequently asked questions

What does P(A|B) mean?

It is the probability of A given that B has occurred.

What is the difference between independent and mutually exclusive events?

Independent events do not change each other’s probabilities; mutually exclusive events cannot occur together.

When is a binomial model valid?

It requires a fixed number of independent two-outcome trials with a constant success probability.