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Illustration 1: There are four machines and it is known that exactly two of them are faulty. They are tested one by one in a random order till both the faulty machines are identified. Then what is the probability that only two tests are needed? (1998)
Solution: The probability that only two tests are required is the same as the probability that the first machine tested is faulty x probability that the second machine tested is faulty
= 2/4 . 1/3
= 1/6.

Illustration 2: A and B are two candidates seeking admission in IIT. The probability that A is selected is 0.5 and the probability that both A and B are selected is almost 0.3. Is it possible that the probability of B getting selected is 0.9?
Solution: Let P (A) and P (B) be the probabilities of selection of A and B respectively.
P (A) = 0.5, P (A∩B) ≤ 0.3
P(A∪B) = P(A) + P(B) – P(A∩B) ≤ 1
P(B) ≤ 1 + P(A∩B) – P(A)
≤ 1 + 0.3 – 0.5 ≤ 0.8
Hence, the probability of selection of B cannot be 0.9.

Illustration 3: In a test an examinee either guesses or copies or knows the answer to a multiple choice question with four choices. The probability that he makes a guess is 1/3 and the probability that he copies the answer is 1/6. The probability that his answer is correct given that he copied it is 1/8. Find the probability that he knew the answer to the questions given that he correctly answered it.(1991)
Solution: Let us use the following symbols for denoting the various options
G for guesses
C for copies
K denotes the possibility that the examinee knows
R if the answer is right
So, P(G) = 1/3
P(C) = 1/6
P(K) = 1- (1/3 + 1/6) =1/2
Now R = (R∩G) ∪ (R∩C) ∪ (R∩K)
P(R) = P(G) P(R/G) + P(C) P(R/C) + P(K) P(R/K) … (1)
Now, P(R/G) = 1/4
P(R/C) =1/8
P(R/K) =1
Putting this in equation (1), we obtain
P(R) = 1/3. 1/4 + 1/6.1/8 + 3/6. 1
         = 1/12 +1/48 + 3/6
         = 29/48
Hence, the required probability = P(K∩R)/ P(R)
                                                        = 24/29

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FAQs on Solved Examples - Probability - Mock Tests for JEE Main and Advanced 2026

1. What is the probability of rolling a 6 on a fair six-sided die?
Ans. The probability of rolling a 6 on a fair six-sided die is 1/6. Since the die has 6 equally likely outcomes (numbers 1 to 6), and only one of them is a 6, the probability is 1/6.
2. If I flip a fair coin three times, what is the probability of getting exactly two heads?
Ans. To find the probability of getting exactly two heads when flipping a fair coin three times, we can use the binomial probability formula. The probability of getting exactly k successes in n independent Bernoulli trials is given by P(X=k) = (n choose k) * p^k * (1-p)^(n-k), where n is the number of trials, k is the number of successes, and p is the probability of success in a single trial. In this case, n = 3, k = 2, and p = 1/2 (since the coin is fair). Plugging these values into the formula, we get P(X=2) = (3 choose 2) * (1/2)^2 * (1/2)^(3-2) = 3 * 1/4 * 1/2 = 3/8.
3. A bag contains 5 red marbles and 3 green marbles. If two marbles are drawn at random without replacement, what is the probability that both marbles are red?
Ans. When two marbles are drawn at random without replacement from a bag containing 5 red marbles and 3 green marbles, the total number of possible outcomes is (5+3) choose 2 = 8 choose 2 = 28. The number of favorable outcomes, where both marbles are red, is 5 choose 2 = 10. Therefore, the probability of drawing two red marbles is 10/28 = 5/14.
4. In a deck of playing cards, what is the probability of drawing a heart or a spade?
Ans. In a standard deck of playing cards, there are 13 hearts and 13 spades out of a total of 52 cards. To find the probability of drawing a heart or a spade, we can add the probabilities of drawing a heart and drawing a spade separately and subtract the probability of drawing both a heart and a spade (since we don't want to count it twice). The probability of drawing a heart is 13/52 = 1/4, the probability of drawing a spade is also 13/52 = 1/4, and the probability of drawing both a heart and a spade is 1/4 * 1/4 = 1/16. Therefore, the probability of drawing a heart or a spade is (1/4) + (1/4) - (1/16) = 7/16.
5. A jar contains 10 red balls, 8 blue balls, and 6 green balls. If two balls are drawn at random with replacement, what is the probability that both balls are blue?
Ans. When two balls are drawn at random with replacement from a jar containing 10 red balls, 8 blue balls, and 6 green balls, the total number of possible outcomes is (10+8+6)^2 = 24^2 = 576. The number of favorable outcomes, where both balls are blue, is 8^2 = 64. Therefore, the probability of drawing two blue balls is 64/576 = 1/9.
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