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Rectangular Distribution MCQs Quiz Online PDF Download eBook

Solve Rectangular Distribution Multiple Choice Questions (MCQ), rectangular distribution quiz answers PDF worksheet, business statistics practice test for online courses. Learn probability distributions Multiple Choice Questions and Answers (MCQs), "Rectangular Distribution" quiz questions and answers for online school of business administration. Learn standard normal probability distribution, random variable classes, hyper geometric distribution, expected value and variance test prep for bachelor's degree in business.

"The variance of random variable x of gamma distribution can be calculated as" Multiple Choice Questions (MCQ) on rectangular distribution with choices var(x) = n + 2 ⁄ μsup2;, var(x) = n ⁄ μsup2;, var (x) = n * 2 ⁄ μsup2;, and var(x) = n - 2 ⁄ μsup3; for online school of business administration. Practice rectangular distribution quiz questions for merit scholarship test and certificate programs to learn online certificate courses.

MCQs on Rectangular Distribution PDF Download eBook

MCQ: 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;

B

MCQ: 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

A

MCQ: 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

B

MCQ: 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

D

MCQ: 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

A