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Rectangular Distribution MCQ (Multiple Choice Questions) PDF Download

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The Rectangular Distribution Multiple Choice Questions (MCQ Quiz) with Answers PDF (Rectangular Distribution MCQ PDF e-Book) download to learn BBA Business Statistics Tests. Study Probability Distributions Multiple Choice Questions and Answers (MCQs), Rectangular Distribution quiz answers PDF to learn online certification courses. The Rectangular Distribution MCQ App Download: Free BBA Business Statistics App to learn rectangular distribution, binomial distribution, discrete probability distributions, standard normal probability distribution test prep for online college classes.

The MCQ: The variance of random variable x of gamma distribution can be calculated as; "Rectangular Distribution" App Download [Free] with answers: var(x) = n + 2 ⁄ μsup2;, var(x) = n ⁄ μsup2;, var (x) = n * 2 ⁄ μsup2;, and var(x) = n - 2 &frasl &musup3 to learn online certification courses. Practice Rectangular Distribution Quiz Questions, download Apple eBook (Free Sample) for online degrees.

Rectangular Distribution Questions and Answers PDF Download

MCQ: 1

The variance of random variable x of gamma distribution can be calculated as

  1. Var(x) = n + 2 ⁄ μsup2;
  2. Var(x) = n ⁄ μsup2;
  3. Var (x) = n * 2 ⁄ μsup2;
  4. Var(x) = n - 2 ⁄ μsup3;
MCQ: 2

If the value of m in beta distribution is 35 and the value of n in beta distribution is 50 then the expected value of random variable x in beta distribution is

  1. 0.411
  2. 0.311
  3. 0.511
  4. 0.211
MCQ: 3

The formula of mean of uniform or rectangular distribution is as

  1. mean = 4(b + a) ⁄ 2b
  2. mean = (b + a) ⁄ 2
  3. mean = (b - 2a) ⁄ 4
  4. mean = (2a + 2b) ⁄ 2a
MCQ: 4

The formula such as mn ⁄ (m + n)² (m + n + 1) is used to calculate

  1. variance in exponential distribution
  2. variance in alpha distribution
  3. variance in gamma distribution
  4. variance in beta distribution
MCQ: 5

The formula of calculating the expected value of random variable x of gamma distribution is as

  1. E(x) = n ⁄ μ
  2. E(x) = pq ⁄ μ
  3. E(x) = μ ⁄ np
  4. E(x) = α ⁄ μ

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