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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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21
In a binomial experiment, how are the outcomes of each individual trial categorized?
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22
During which century was the term 'binomial' first formally established in mathematical literature?
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23
How many parameters define a binomial distribution?
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24
Which parameters are required to determine the standard deviation of a binomial probability distribution?
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25
For a random variable X following a binomial distribution with n = 10 and p = 0.3, what is the variance of X?
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26
For a binomial distribution with parameters n and p, what is the relationship between the mean and variance?
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27
Which of the following is not a required condition for a binomial distribution?
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28
How many parameters are required to define a binomial distribution?
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29
Which of the following is not a fundamental requirement for a binomial distribution?
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30
For a negative binomial distribution with 6 trials and a success probability of 0.75, what is the variance?
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