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Chapter 31 of RD Sharma's Class 12 Mathematics textbook focuses on Probability, a fundamental concept in statistics and data analysis. Exercise 31.2 specifically deals with conditional probability and related concepts. This exercise set challenges students to apply theoretical knowledge to solve problems involving dependent and independent events, Bayes' theorem, and probability distributions. The problems are designed to enhance students' understanding of how probability changes when additional information is provided.
Conditional Probability: P(A|B) = P(A ∩ B) / P(B)
Multiplication Rule: P(A ∩ B) = P(A) * P(B|A) = P(B) * P(A|B)
Addition Rule: P(A ∪ B) = P(A) + P(B) - P(A ∩ B)
Bayes' Theorem: P(A|B) = [P(B|A) * P(A)] / P(B)
Law of Total Probability: P(B) = P(B|A₁)P(A₁) + P(B|A₂)P(A₂) + ... + P(B|Aₙ)P(Aₙ)
Independence: Events A and B are independent if P(A ∩ B) = P(A) * P(B)
Solution:
Let the desired events be,
A = first card is king
B = second card is also king
and probability of the event A is, P(A).
P(A) = 4/52 = 1/13 [There are 4 kings in the 52 cards set]
As the king is withdrawn without replacement there are three kings left only.
And the number of cards left is 51 as well.
Hence,
P(B/A) = 3/51 = 1/17
Hence, the required probability,
P(A∩B) = P(A) × P(B/A) = (1/13) × (1/17)
or, P(A∩B) = 1/221 (ans)
Solution:
Let the desired events be,
A = an ace in the first draw
B = an ace in the second draw
C = an ace in the third draw
D = an ace in the fourth draw
The probability of the event x is P(x)
P(A) = 4/52 = 1/13 [There are 4 aces and 52 cards remaining]
P(B/A) = 3/51 = 1/17 [There are 3 aces and 51 cards remaining]
P(C/A∩B) = 2/50 = 1/25 [There are 2 aces and 50 cards remaining]
P(D/A∩B∩C) = 1/49 [There is 1 ace and 49 cards remaining]
The required probability,
P(A∩B∩C∩D) = P(A) × P(B/A) × P(C/A∩B) × P(D/A∩B∩C)
=(1/13) × (1/17) × (1/25) × (1/49)
=1/270725 (ans)
Solution:
Let the desired events be,
A = White ball at first draw
B = White ball at second draw
The probability of the event x is P(x).
P(A) = 7/12 [Any of the seven white balls from the 12-ball-set]
P(B/A) = 6/11 [6 white balls remaining and 11 balls left]
The required probability,
P(A∩B) = P(A) × P(B/A)
= (7/12) × (6/11) = 7/22 (ans)
Solution:
Let the desired events be,
A = Even number at first draw
B = Even number at second draw
The probability of the event x is P(x).
P(A) = 12/25 [Any of the12 even numbers less than 25]
P(B/A) = 11/24 [Any of the 11 remaining even number tickets out of 24]
The required probability,
P(A∩B) = P(A) × P(B/A)
= (12/25) × (11/24) = 11/50 (ans)
Solution:
Let the desired events be,
A = a spade in the first draw
B = a spade in the second draw.
C = a spade in the third draw.
P(A) = 13/52 = 1/4 [There are 13 spades and 52 cards remaining]
P(B/A) = 12/51 = 4/17 [There are 12 spades and 51 cards remaining]
P(C/A∩B) = 11/50 [There are 11 spades and 50 cards remaining]
The required probability,
P(A∩B∩C) = P(A) × P(B/A) × P(C/A∩B)
=(1/4) × (4/17) × (11/50) = 11/850 (ans)
Solution:
Let the desired events be,
A = first card is king
B = second card is also king
and probability of the event A is, P(A).
P(A) = 4/52 = 1/13 [There are 4 kings in the 52 cards set]
As the king is withdrawn without replacement there are three kings left only.
And the number of cards left is 51 as well.
Hence,
P(B/A) = 3/51 = 1/17
Hence, the required probability,
P(A∩B) = P(A) × P(B/A) = (1/13) × (1/17)
or, P(A∩B) = 1/221 (ans)
Solution:
Let the desired events be,
A = first card is king
B = second card is also king
and probability of the event A is, P(A).
P(A) = 4/52 = 1/13 [There are 4 kings in the 52 cards set]
As the king is withdrawn without replacement the number of cards left is 51 and it has 4 aces.
Hence,
P(B/A) = 4/51 [4 aces in 51 cards set]
Hence, the required probability,
P(A∩B) = P(A) × P(B/A) = (1/13) × (4/51)
or, P(A∩B) = 4/663 (ans)
Solution:
There are 13 heart cards and 26 red cards, if we withdraw a heart card 25 red cards remain.
Let the desired events be,
A = first card is heart.
B = second card is red.
The probability of the event x is P(x).
P(A) = 13/52 = 1/4 [There are 13 hearts in the 52 cards set]
If we withdraw a heart card 25 red cards remain
P(B/A) = 25/51 [26 red cards in 51 cards set]
Hence, the required probability,
P(A∩B) = P(A) X P(B/A) = (1/4) X (25/51)
or, P(A∩B) = 25/204 (ans)
Solution:
Let the desired events be,
A = Even number at first draw
B = Odd number at second draw
The probability of the event x is P(x).
P(A) = 10/20 = 1/2 [Any of the 10 even numbers less than 20]
P(B/A) = 10/19 [Any of the 10 remaining odd number tickets out of 19]
The required probability,
P(A∩B) = P(A) × P(B/A)
= (1/2) × (10/19) = 5/19 (ans)
Solution:
Let the desired events be,
A = Black ball at first draw
B = Black at second draw.
Complement of desired events be,
A' = A white ball or red ball in first draw.
B' = A white ball or red ball in second draw.
P(A') = 7/12 [7 non-black balls out of 12]
P(B'/A') = 6/11 [6 non-black balls out of 11]
Hence, the required probability,
P(At least one ball is black)
= P(A U B)
= 1 - P(A U B)'
=1 - P(A' ∩ B')
=1 - P(A')P(B/A)'
=1 - (7/12 × 6/11)
=15/22 (ans)
Solution:
Let the desired events be,
A = No red ball in first draw.
B = No red ball in second draw.
C = No red ball in the third draw.
P(A) = 8/15 [8 non-red balls of 15]
P(B/A) = 7/14 = 1/2 [7 non-red balls of 14]
P(C/A∩B) = 6/13 [6 non-red balls of 13]
The required probability,
P(A∩B∩C) = P(A) × P(B/A) × P(C/A∩B)
= 8/15 × 1/2 × 6/13
= 8/65 (ans)
Solution:
Let the desired events be,
A = first card is heart
B = second card is diamond
c = 13/52 = 1/4 [13 hearts out of 52 cards]
P(B/A) = 13/51 [13 diamonds out of 51 cards]
The required probability,
P(A∩B)
= P(A) × P(B/A)
=1/4 × 13/51
=13/204 (ans)
Solution:
Let the desired events be,
A = first ball is black
B = second ball is black
P(A) = 10/15 = 2/3 [10 black balls of 15]
P(B/A) = 9/14 [9 black balls of 14]
The required probability,
P(A∩B)
= P(A)P(B/A)
= 2/3 × 9/14
= 3/7 (ans)
Solution:
Let the desired events be,
A = first card is king
B = second card is king
C = third card is an ace
P(A) = 4/52 = 1/13 [There are 4 kings and 52 cards remaining]
P(B/A) = 3/51 = 1/17 [There are 3 kings and 51 cards remaining]
P(C/A∩B) = 4/50 = 2/25 [There are 4 aces and 50 cards remaining]
The required probability,
P(A∩B∩C)
= P(A)P(B/A)P(C/A∩B)
= 1/13 × 1/17 × 2/25
= 2/5525 (ans)
Solution:
Let the desired events be,
A = first orange is good.
B = second orange is good.
C = third orange is good.
P(A) = 12/15 = 4/5 [There are 12 good oranges among 15]
P(B/A) = 11/14 [There are 11 good oranges among 14]
P(C/A∩B) = 10/13 [There are 10 good oranges among 13]
The required probability,
P(A∩B∩C)
= P(A)P(B/A)P(C/A∩B)
= 4/5 × 11/14 × 10/13
= 44/91 (ans)
Solution:
Let the desired events be,
A = first ball is white.
B = second ball is black.
C = third ball is red.
P(A) = 4/16 = 1/4 [There are 4 white balls among 16]
P(B/A) = 7/15 [There are 7 black balls among 15]
P(C/A∩B) = 5/14 [There are 5 red balls among 14]
The required probability,
P(A∩B∩C)
= P(A)P(B/A)P(C/A∩B)
= 1/4 × 7/15 × 5/14
= 1/24 (ans)
Exercise 31.2 in RD Sharma's Class 12 Probability chapter provides students with a comprehensive set of problems to master conditional probability concepts. By working through these exercises, students develop crucial skills in analyzing complex probability scenarios, applying theoretical knowledge to practical situations, and interpreting results in real-world contexts. The problems cover a wide range of applications, from simple conditional probability calculations to more advanced applications of Bayes' theorem and the law of total probability. This exercise set not only reinforces the mathematical foundations of probability but also prepares students for more advanced studies in statistics and data science.
1. A card is drawn from a well-shuffled deck of 52 cards. What is the probability of drawing either a king or a heart?
2. In a class of 50 students, 30 like mathematics, 20 like physics, and 10 like both. What is the probability that a randomly chosen student likes either mathematics or physics
3. Two dice are rolled. What is the probability of getting a sum of 7 or an even number on both dice?
4. In a survey of 200 people, 120 watch cricket, 80 watch football, and 40 watch both. What is the probability that a randomly chosen person watches either cricket or football?
5. A bag contains 5 red balls, 4 blue balls, and 3 green balls. Two balls are drawn at random. What is the probability of drawing either a red ball or a green ball?
6. In a group of 100 people, 60 speak English, 50 speak Hindi, and 30 speak both. What is the probability that a randomly chosen person speaks either English or Hindi?
7. A number is chosen at random from the numbers 1 to 50. What is the probability that it is either a multiple of 3 or a multiple of 5?
8. In a box of 100 light bulbs, 5 are defective. If two bulbs are chosen at random, what is the probability that at least one is defective?
9. A coin is tossed three times. What is the probability of getting at least one head?
10. In a school of 1000 students, 600 play cricket, 500 play football, and 300 play both. What is the probability that a randomly chosen student plays either cricket or football?