

InterviewSolution
This section includes InterviewSolutions, each offering curated multiple-choice questions to sharpen your knowledge and support exam preparation. Choose a topic below to get started.
2151. |
A bag contains 12 pairs of socks. Four socks are picked up at random. Find the probability that there is at least one pair. |
Answer» Correct Answer - `1-(.^(12)C_(4)xx 2^(4))/(.^(24)C_(4))` The number of ways of selecting 4 socks from 24 socks is `n(S) = .^(24)C_(4)`. The number of ways of selecting 4 socks from different pairs is `n(E) = .^(12)C_(4)xx2^(4)` `implies P(E) = (.^(12)C_(4) xx 2^(4))/(.^(24)C_(4))` Hence, the probability of getting at least one pair is `1 -(.^(12)C_(4) cc 2^(4))/(.^(24)C_(4))` |
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2152. |
Two coins are tossed simultaneously 500 times and the outcomes are noted as given below:Outcome:Two heads (HH)One head (HT or TH)No head (TT)Frequency:105275120If same pair of coins is tossed at random, find the probability of getting:(i) Two heads(ii) One head(iii) No head. |
Answer» Given number of trials = 500 From the given table it is clear that, Number of outcomes of two heads (HH) = 105 Number of outcomes of one head (HT or TH) = 275 Number of outcomes of no head (TT) = 120 (i) Probability of getting two heads = frequency of getting 2 heads/ total number of trials = 105/500 = 21/100 (ii) Probability of getting one head = frequency of getting 1 heads/ total number of trials = 275/500 = 11/20 (iii) Probability of getting no head = frequency of getting no heads/ total number of trials = 120/500 = 6/25 |
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2153. |
A box contains two pair of socks of two colours (black and white). I have picked out a white sock. I pick out one more with my eyes closed. What is the probability that I will make a pair? |
Answer» Given number of socks in the box = 4 Let B and W denote black and white socks respectively. Then we have S = {B, B, W, W} If a white sock is picked out, then the total no. of socks left in the box = 3 Number of white socks left = 2 – 1 = 1 Probability of getting white socks = number of white socks left in the box/ total number of socks left in the box = 1/3 |
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2154. |
State True or False for the statements:Another name for the mean of a probability distribution is expected value. |
Answer» TRUE Mean gives the average of values and if it is related with probability or random variable it is often called expected value. |
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2155. |
Let X be a discrete random variable assuming values x1, x2, ..., xn with probabilities p1, p2, ..., pn, respectively. Then variance of X is given by(A) E (X2) (B) E (X2) + E (X) (C) E (X2) – [E (X)]2(D) √(E(X2 ) – [E (X)]2) |
Answer» The correct answer is (C). |
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2156. |
If A and B are independent, then P (exactly one of A,B occurs) |
Answer» Correct Answer - 1 | |
2157. |
If A and B are two independent events, then P( A and B)=P(A)`cdot`P(B) |
Answer» Correct Answer - 1 | |
2158. |
State whether the statement is True or False.Three events A, B and C are said to be independent if P (A∩B∩C) = P (A) P (B) P (C). |
Answer» False. Reason is that A, B, C will be independent if they are pairwise independent and P (A∩B∩C) = P (A) P (B) P (C). |
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2159. |
State True or False.Another name for the mean of a probability distribution is expected value. |
Answer» Answer is True |
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2160. |
State True or False for the statements:If A and B are two independent events then P(A and B) = P(A).P(B) |
Answer» TRUE If A and B are independent events. It implies- P(A ∩ B) = P(A)P(B) Thus, from the definition of independent event we say that statement is true. |
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2161. |
State whether the statement is True or False. Let A and B be two independent events. Then P (A∩B) = P (A) + P (B) |
Answer» False, because P (A∩B) = P (A) . P(B) when events A and B are independent. |
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2162. |
If A and B are independent events such that P (A) = p, P (B) = 2p and P (Exactly one of A, B) = 5/9 , then p = __________ |
Answer» p = 1/3, 5/12 [(1–p)(2p) + p(1– 2p) = 3p – 4p2 = 5/9] |
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2163. |
State True or False for the statement:Two independent events are always mutually exclusive. |
Answer» False If A and B are independent events. It implies- P(A ∩ B) = P(A)P(B) Through the above equation we can’t prove in any way that P(A∪B) = P(A) + P(B) It is only possible if either P(A) or P(B) = 0,which is not given in question. So, it is a false statement. |
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2164. |
If A and B′ are independent events then P (A′∪B) = 1 – ________ |
Answer» P (A′∪B) = 1 – P (A∩B′) = 1 – P (A) P (B′) (since A and B′ are independent). |
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2165. |
State True or False. Two independent events are always mutually exclusive. |
Answer» Answer is False |
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2166. |
State True or False. If A and B are mutually exclusive events, then they will be independent also. |
Answer» Answer is False |
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2167. |
State True or False.If A and B are two independent events then P(A and B) = P(A).P(B). |
Answer» Answer is True |
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2168. |
(a) How many two-digit positive integers are multiples of 3?(b) What is the probability that a randomly chosen two-digit positive integer is a multiple of 3? |
Answer» (a) 2 digit positive integers which are multiples of 3 are 12, 15, 18, ... , 99. Thus, there are 30 such integers. (b) 2-digit positive integers are 10, 11, 12, ... , 99. Thus, there are 90 such numbers. Since out of these, 30 numbers are multiple of 3, therefore, the probability that a randomly chosen positive 2-digit integer is a multiple of 3, is 30/90 = 1/3. |
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2169. |
A basket contains 10 fruits in which three are rotten.If two fruits are selected from the basket, what is the probability that both the fruits are not rotten? (A) `7/15` (B) `8/15` (C) `1/15` (D) `10/15` |
Answer» Initially, there are 10 fruits in basket and 3 of them are rotten. `:.`Probability of selecting first fruit that is not rotten ` = 7/10` Now, there are 9 fruits remaining in the basket and three of them are rotten. `:.` Probability of selecting another fruit that is not rotten `= 6/9 ` `:.` Probability of selecting both fruits that are not rotten ` = 7/10**6/9 = 7/15`. |
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2170. |
Three coins are tossed together. Find the probability of getting:(i) exactly two heads(ii) at least two heads(iii) at least one head and one tail(iv) no tails |
Answer» When 3 coins are tossed together, Total no. of possible outcomes = 8 {HHH, HHT, HTH, HTT, THH,THT, TTH, TTT} (i) Probability of an event = (No. of favorable outcomes)/(Total no. of possible outcomes) Let E ⟶ event of getting exactly two heads No. of favourable outcomes = 3 {HHT, HTH, THH} Total no. of possible outcomes = 8 P(E) = 3/8 (ii) E ⟶ getting at least 2 Heads No. of favourable outcomes = 4 {HHH, HHT, HTH, THH} Total no. of possible outcomes = 8 P(E) = 4/8 = 1/2 (iii) E⟶ getting at least one Head & one Tail No. of favourable outcomes = 6 {HHT, HTH, HTT, THH, THT, TTH} Total no. of possible outcomes = 8 P(E) = 6/8 = 3/4 (iv) E ⟶ getting no tails No. of favourable outcomes = 1 {HHH} Total no. of possible outcomes = 8 P(E) = 1/8 |
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