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Binomial and Poisson Distributions MCQs for Competitive Exams

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Binomial and Poisson Distributions MCQs for Competitive Exams

Practice with answers, explanations, and exam-focused revision notes.

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Topic Notes: Binomial and Poisson Distributions

These notes summarize the key preparation context before you attempt the MCQs. Review the topic focus, then practice the questions below with answers and explanations.

Quick Overview

Binomial and Poisson Distributions MCQs in Statistics are useful for candidates who need targeted practice for CSS, PMS, FPSC, PPSC, NTS, entry tests, and other competitive exams in Pakistan. This topic page is designed for quick revision, repeated practice, and exam-focused preparation.

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1
What is the expected value of a binomial distribution when the number of trials is equal to one?
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2
What is the range of possible values that a binomial random variable can take, given n trials?
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3
Which condition regarding the probabilities p and q results in a positively skewed binomial distribution?
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4
How does the inequality of success probability (p) and failure probability (q) affect the skewness of a binomial distribution?
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5
Which probability distribution is characterized by having an equal mean and variance?
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6
How does the variance of a binomial distribution compare to its mean?
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7
Under what condition is a binomial distribution considered to be positively skewed?
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8
In the context of probability theory, how is the random variable in a negative binomial distribution typically classified?
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9
For a binomial distribution with a success probability of 0.40, a failure probability of 0.60, and a sample size of 5, what is the calculated moment coefficient of skewness?
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10
What is the term for a process where trials are statistically independent and each trial results in exactly one of two possible outcomes?
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