Normal Distribution MCQ Questions and Answers for Practice

Normal Distribution Multiple Choice Questions (MCQs) are essential practice tools for students and exam aspirants. These questions help you understand and apply the concepts of normal distribution, a fundamental topic in statistics and probability.

About Normal Distribution MCQ Questions

Normal Distribution, also known as the Gaussian Distribution, is a continuous probability distribution that is symmetrically distributed around the mean. Key concepts covered in these MCQs include the properties of the normal curve, standard deviation, z-scores, and how to calculate probabilities using the standard normal table.

Why Practice Normal Distribution Objective Questions?

Practicing Normal Distribution MCQs offers several benefits. It helps you prepare for school and college exams, enhances your understanding of statistical concepts, and improves your problem-solving skills. Additionally, these questions are useful for competitive exams and job interviews, where knowledge of probability and statistics is often required.

Who Should Use These MCQs?

  • Students preparing for school or college exams
  • Competitive exam aspirants
  • Candidates preparing for interviews

Normal Distribution MCQ Questions for Practice

1. A random variable X is normally distributed with μ = 70 and σ2 = 25. The third moment about arithmetic mean is:

2. For the standard normal distribution, P(Z > mean) is:

3. Given a standardized normal distribution (with a mean of zero and a standard deviation of one), P(Z < variance) is equal to:

4. If X ~ N(μ,σ2), the points of inflection of normal distribution are:

5. If X ~ N(μ,σ2), the standard normal variate is distributed as:

6. If X is a normal random variable having mean μ, then E(X - μ)2 is equal to:

7. If X is a normal random variable having mean μ, then E|X - μ| is equal to:

8. If X~N(100, 64), then standard deviation σ is:

9. If Z~N, the coefficient of variation is equal to:

10. If Z~N, then μ4 is equal to:

11. In a normal curve μ ± 0.6745σ covers:

12. In a normal curve, the highest point on the curve occurs at the mean, μ, which is also the:

13. In a normal curve, the ordinate is highest at:

14. In a normal distribution whose mean is land standard deviation 0, the value 4 quartile deviation is approximately:

15. In a normal distribution, the lower and upper quartiles are equidistant from the mean and are at a distance of:

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