This section includes 7 InterviewSolutions, each offering curated multiple-choice questions to sharpen your Current Affairs knowledge and support exam preparation. Choose a topic below to get started.
| 1. |
If A and B are events such that P(A) = 0.3, P(B) = 0.2 and P(A∩ B) = 0.1, then P(\(\overline {A}\cap B\)) = ?A. 0.2B. 0.1C. 0.4D. 0.5 |
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Answer» Correct answer is B. P(A) = 0.3, P(B) = 0.2 and P(A ∩ B) = 0.1 P(\(\overline{A}\cap B\)) = P(B) – P(A ∩ B) = 0.2 – 0.1 = 0.1 |
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| 2. |
In a class, 60% of the students read mathematics, 25% biology and 15% both mathematics and biology. One student is selected at random. What is the probability that he reads mathematics if it is known that he reads biology?A. \(\frac{2}{5}\)B. \(\frac{3}{5}\)C. \(\frac{3}{8}\)D. \(\frac{5}{8}\) |
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Answer» Correct answer is B. Given: 60% of the students read mathematics, 25% biology and 15% both mathematics and biology That means, Let the event A implies students reading mathematics, Let the event B implies students reading biology, Then, P(A) = 0.6 P(B) = 0.25 P(A∩B) = 0.15 We, need to find P(A/B) = P(A∩B)/ P(B) \(\Rightarrow\) \(\frac{0.15}{0.25}=\frac{3}{5}\) |
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| 3. |
It is given that the probability that A can solve a given problem is \(\frac{3}{5}\) and the probability that B can solve the same problem is \(\frac{2}{3}.\) The probability that at least one of A and B can solve a problem isA. \(\frac{2}{5}\)B. \(\frac{1}{15}\)C. \(\frac{13}{15}\)D. \(\frac{2}{15}\) |
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Answer» Correct answer is C. P(A) = probability that A can solve the problem = 3/5 And P(B) = probability that B can solve the problem = 2/3 P(A ∪ B) = P(A) + P(B), As the events are independent \(\Rightarrow\) P(A ∩ B) = P(A).P(B) Thus, \(\Rightarrow\) ⇒ P(A) + P(B) = 3/5 +2/3 – 2/5 = 13/15 |
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| 4. |
A machine operates only when all of its three components function. The probabilities of the failures of the first, second and third component are 0.2, 0.3 and 0.5, respectively. What is the probability that the machine will fail?A. 0.70B. 0.72C. 0.07D. None of these |
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Answer» Correct answer is B. The probability of failure of the first component = 0.2 =P(A) The probability of failure of second component = 0.3 = P(B) The probability of failure of third component = 0.5 = P(C) As the events are independent, The machine will operate only when all the components work, i.e., (1-0.2)(1-0.3)(1-0.5) = P(A’)P(B’)P(C’) In rest of the cases, it won’t work, So P(AUBUC) = 1 – P(A’∩B’∩C’) = 1 – (0.8).(0.7).(0.5) \(\Rightarrow\) 1 – 0.28 = 0.72 |
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| 5. |
A die is thrown 100 times. Getting an even number is considered a success. Find the mean and variance of success. |
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Answer» Probability of getting an even number is = 3/6 = 1/2 Probability of getting an odd number is = 3/6 = 1/2 Variance = npq \(\Rightarrow 100\times \frac{1}{2}\times \frac{1}{2}\) \(\Rightarrow 25\) |
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| 6. |
If A and B are independent events such that P(A) = 0.4, P(B) =x and P(A ∪ B) = 0.5, then x = ?A. \(\frac{4}{5}\)B. 0.1C. \(\frac{1}{6}\)D. None of these |
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Answer» If A and B are mutually exclusive events then, P(A) = 0.4, P(B) = X And P(A ∪ B) = P(A)+P(B) = 0.5 = 0.4 + P(B) ⇒ P(B) = 0.1 |
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| 7. |
If A and B are mutually exclusive events such that P(A) = 0.4, P(B) =x and P(A ∪ B) = 0.5, then x = ?A. 0.2B. 0.1C. \(\frac{4}{5}\)D. None of these |
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Answer» If A and B are mutually exclusive events then, P(A) = 0.4, P(B) = X And P(A ∪ B) = P(A)+P(B) = 0.5 = 0.4 + P(B) ⇒ P(B) = 0.1 |
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| 8. |
Bring out the fallacy, if any, in the following statement:‘The mean of a binomial distribution is 6 and its variance is 9’ |
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Answer» Variance can not be greater than mean as then, q will be greater than 1, which is not possible. As, np = 6 and npq = 9 q = 3/2 …(not possible) |
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| 9. |
In a binomial distribution, if n = 20, q = 0.75, then write its mean. |
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Answer» Given: n = 20 q = 0.75 p = ? q = (1 - p) = 0.75 p = 1 - 0.75 = 0.25 Mean = np = 20(0.75) = 15 |
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| 10. |
In a binomial distribution, n = 4. If 2 P(X = 3) = 3 P(X = 2) then p = ______(a) \(\frac{4}{13}\)(b) \(\frac{5}{13}\)(c) \(\frac{9}{13}\)(d) \(\frac{6}{13}\) |
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Answer» Correct answer is (c) \(\frac{9}{13}\) |
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| 11. |
The mean and the variance of a binomial distribution are 4 and 2 respectively. Then the probability of 2 successes is (a) √50 (b) 5 (c) 25 (d) 10 |
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Answer» Correct answer is (b) 5 |
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| 12. |
Can the mean of a binomial distribution be less than its variance? |
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Answer» Let X be a binomial variate with parameters in and p. Mean = np Variance = npq Mean - Variance = np – npq = np(1 - q) = np2 > 0 So, Mean – Variance > 0 ⇒ Mean > Variance So, mean can never be less than variance. |
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| 13. |
An unbiased die is tossed twice. What is the probability of getting a 4, 5 or 6 on the first toss and a 1, 2, 3 or 4 on the second toss?A. \(\frac{1}{3}\)B. \(\frac{2}{3}\)C. \(\frac{3}{4}\)D. \(\frac{5}{6}\) |
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Answer» Correct answer is A. A die is tossed twice, The probability of getting a 4, 5 or 6 in the first trial is 3/6 = P(A) The probability of getting a 1, 2, 3 or 4 in the second trial is 4/6 =P(B) As the events are independent, the probability of these two events together will be, P(A).P(B) = 1/3. |
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| 14. |
7 coins are tossed simultaneously. What is the probability that a tail appears an odd number of times? |
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Answer» As 7 coins are tossed simultaneously the total number of outcomes are \(2^7=128.\) The favourable number of outcomes that a tail appears an odd number of times will be, \(7_{C_1}+7_{C_3}+7_{C_5}+7_{C_7}=64.\) Thus, the probability \(=\frac{The\,favourable\,outcomes}{The\,total\,number\,of\,outcomes}\) \(=\frac{64}{128}\) \(=\frac{1}{2}\) Hence, the probability is 1/2 . |
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| 15. |
A coin is tossed 5 times. What is the probability that a head appears an even number of times? |
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Answer» As the coin is tossed 5 times the total number of outcomes will be \(2^5=32.\) And we know that the favourable outcomes of a head appearing even number of times will be, That either the head appears 0, 2 or 4 times so, The respective probabilities will be:- \(5_{C_0}\) + \(5_{C_2}\) + \(5_{C_4}\) = 16 Thus, the probability \(=\frac{The\,favourable\,outcomes}{The\,total\, number\, of\, outcomes}\) \(\Rightarrow=\frac{16}{32}=\frac{1}{2}\) Hence, the probability is 1/2. |
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| 16. |
A coin is tossed 4 times. The probability that at least one head turns up, isA. \(\frac{1}{6}\)B. \(\frac{2}{16}\)C. \(\frac{14}{16}\)D. \(\frac{15}{16}\) |
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Answer» Correct answer is D. Given: n = 4 p(getting atleast one head) = ? • 0 head : HHHH • 1 head : HTTT THTT TTHT TTTH • 2 heads : HHTT HTHT HTTH THHT THTH TTHH • 3 heads : HHHT HHTH HTHH THHH • 4 heads : HHHH Total ouctomes = 16 Outcomes containing atleast 1 head = 15 P(getting atleast 1 head) = \(\frac{15}{16}\) |
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