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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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31
In a binomial experiment, how many times is the trial repeated?
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32
For a binomial distribution, what must be true about the trials for the mean to be np and the variance to be npq?
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33
In the context of approximating a binomial distribution, which parameter is typically required to be large?
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34
In the context of the Poisson distribution, what does the parameter λ (lambda) represent?
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35
Calculate the mean of a binomial distribution where n = 10 and p = 3/5.
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36
What is the variance of a binomial distribution expressed in terms of p and q?
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37
In a Binomial probability distribution, which of the following probabilities is mathematically impossible to calculate?
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38
What is the standard formula for the variance of a binomial distribution?
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39
In a binomial distribution with a failure probability of 0.70, success probability of 0.30, and n=7, what is the moment coefficient of kurtosis?
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40
In a binomial experiment, how is the number of trials characterized?
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