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Normal_ Exponential_ and Gamma Distributions MCQs for Competitive Exams

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Normal_ Exponential_ and Gamma Distributions MCQs for Competitive Exams

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Topic Notes: Normal_ Exponential_ and Gamma Distributions

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Normal_ Exponential_ and Gamma 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
What is the mathematical expression for the mean of a Gamma distribution with shape parameter alpha and scale parameter beta?
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32
If zi represents independent standard normal random variables, what is the distribution of the sum of their squares, Σ(zi^2) for i=1 to n?
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33
Given that the parameter μ is 25, what is the mean of the corresponding exponential probability distribution?
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34
Which parameter determines the degree of flatness or peakedness (kurtosis) of a normal distribution?
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35
What is the total area under the probability density function curve of a standard normal distribution?
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36
Which two parameters are required to fully define the shape and location of a normal distribution curve?
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37
As the sample size n approaches infinity, the t-distribution converges to which of the following distributions?
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38
What common object is used to describe the visual shape of the normal distribution curve?
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39
Which probability distribution is defined by a mean of zero and a standard deviation of one?
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40
What is the formula for calculating the mean of a continuous uniform (rectangular) distribution defined on the interval [a, b]?
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