Probability and Probability Distributions MCQs for Competitive Exams

MCQS

Probability and Probability Distributions MCQs for Competitive Exams

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

139 MCQs Page 3

Topic Notes: Probability and Probability Distributions

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Quick Overview

Probability and Probability Distributions MCQs in Commerce 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
For a Poisson distribution, how is the mean value calculated in terms of the number of trials (n) and the probability of success (p)?
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22
According to the classical approach to probability, if an experiment has 'n' equally likely simple outcomes, what is the probability of each outcome?
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23
What is the formula for the variance of a binomial distribution?
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24
The shape of a standard normal variate is determined by which of the following parameters?
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25
What term is used to describe the mathematical likelihood that a specific event will occur?
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26
Which of the following statements regarding the normal distribution are incorrect? (i) The coefficient of skewness is 3. (ii) It is mesokurtic. (iii) The mean deviation is 2/3σ. (iv) The range μ ± 2σ covers 94.45% of the area. (v) Mean, median, and mode are equal. (vi) The standard normal variate z has a mean of 1 and a standard deviation of 0.
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27
According to Bayes' Theorem, what is the logical sequence of information required to calculate posterior probabilities given that an arbitrary event has occurred?
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28
What is the probability of an impossible event occurring?
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29
What is the formula for the standard error of the number of successes in a binomial distribution?
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30
In a standard normal distribution curve, what is the relationship between the two tails and the horizontal axis?
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