MCQ Collection
GAT Subject Statistics MCQs
Practice GAT Subject Statistics questions with answers and explanations.
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Correct Answer: C. 0.55
Explanation:
Mutually exclusive events have no overlap.
P(A ∪ B) = 0.30 + 0.25 = 0.55.
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Correct Answer: D. 0.8
Explanation:
Apply inclusion-exclusion for the union.
0.6 + 0.5 - 0.3 = 0.8.
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Correct Answer: D. A selection in which order does not matter
Explanation:
Combinations count groups rather than sequences.
The same selected members in another order are not new.
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Correct Answer: A. Number of favorable outcomes compared with unfavorable outcomes
Explanation:
Odds compare favorable and unfavorable possibilities.
If probability is p, odds in favor are p to 1-p.
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Correct Answer: B. Its probability-weighted long-run average
Explanation:
Expected value combines each outcome with its probability.
Over many repetitions, the average tends toward this value.
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Correct Answer: D. 1/2
Explanation:
A fair coin has two equally likely outcomes.
One of the two outcomes is heads, so the probability is 1/2.
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Correct Answer: A. A process with uncertain outcome but a known set of possible outcomes
Explanation:
A random experiment can be repeated under similar conditions.
The exact outcome is uncertain before observation.
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Correct Answer: B. The set of all possible outcomes of an experiment
Explanation:
The sample space lists every outcome that can occur.
Events are subsets of this space.
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Correct Answer: C. A subset of the sample space
Explanation:
An event consists of one or more possible outcomes.
Its probability measures how likely it is to occur.
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Correct Answer: D. The event that A does not occur
Explanation:
The complement contains all sample-space outcomes outside A.
Its probability is 1 - P(A).
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Correct Answer: A. They cannot occur at the same time
Explanation:
Mutually exclusive events have an empty intersection.
Thus P(A ∩ B) = 0.
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Correct Answer: B. Occurrence of one does not change the probability of the other
Explanation:
Independent events satisfy P(A|B) = P(A).
Their intersection probability equals the product of their probabilities.