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Rectangular Distribution MCQ with Answers PDF

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Rectangular Distribution Multiple Choice Questions (MCQ), Rectangular Distribution quiz answers PDF with business statistics live worksheets for online degrees. Solve probability distributions Multiple Choice Questions and Answers (MCQs), Rectangular Distribution quiz questions for online school of business administration. Rectangular Distribution Interview Questions PDF: rectangular distribution, binomial distribution, discrete probability distributions, standard normal probability distribution test prep for bachelor's degree in business.

"The variance of random variable x of gamma distribution can be calculated as" MCQ PDF 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. Solve rectangular distribution quiz questions for merit scholarship test and certificate programs to learn online certificate courses.

MCQs on Rectangular Distribution Quiz

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

Var(x) = n + 2 ⁄ μsup2;
Var(x) = n ⁄ μsup2;
Var (x) = n * 2 ⁄ μsup2;
Var(x) = n - 2 ⁄ μsup3;

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

0.411
0.311
0.511
0.211

MCQ: The formula of mean of uniform or rectangular distribution is as

mean = 4(b + a) ⁄ 2b
mean = (b + a) ⁄ 2
mean = (b - 2a) ⁄ 4
mean = (2a + 2b) ⁄ 2a

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

variance in exponential distribution
variance in alpha distribution
variance in gamma distribution
variance in beta distribution

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

E(x) = n ⁄ μ
E(x) = pq ⁄ μ
E(x) = μ ⁄ np
E(x) = α ⁄ μ

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Rectangular Distribution Interview Questions

The variance of random variable x of gamma distribution can be calculated asThe classification method in which the upper limit of interval is sameThe method of calculating skewness which is based on the positions ofThe formula in which the Poisson probability distribution approaches normal probability distributionThe measure of distance which is greatly influenced by extreme values in data is considered asThe distribution whose function is calculated by considering the Bernoulli trials that