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Solve Standard Normal Probability Distribution Multiple Choice Questions (MCQ), standard normal probability distribution quiz answers PDF worksheet, business statistics practice test for online degree programs. Learn probability distributions Multiple Choice Questions and Answers (MCQs), "Standard Normal Probability Distribution" quiz questions and answers for online business and administration degree. Learn normal distribution, rectangular distribution, expected value and variance test prep for online business university.

"The formula to calculate standardized normal random variable is" Multiple Choice Questions (MCQ) on standard normal probability distribution with choices x - μ ⁄ σ, x + μ ⁄ σ, x - σ ⁄ μ, and x + σ ⁄ μ for online business and administration degree. Practice standard normal probability distribution quiz questions for merit scholarship test and certificate programs for online business administration degree.

MCQ: The formula to calculate standardized normal random variable is

1. x - μ ⁄ σ
2. x + μ ⁄ σ
3. x - σ ⁄ μ
4. x + σ ⁄ μ

A

MCQ: The formula in which the binomial distribution approaches normal probability distribution with the help of normal variable is written as

1. x - qn divided by square root of pq
2. x - np divided by square root of npq
3. x + np divided by square root of np
4. x - pq divided by square root of npq

B

MCQ: Consider the probability distribution as standard normal, if the value of μ is 75, the value of x is 120 with the unknown standard deviation of distribution then the value of z-statistic

1. will be one
2. will be zero
3. will be negative
4. will be positive

D

MCQ: If the value of x is less than μ of standard normal probability distribution then the

1. z-statistic is negative
2. z-statistic is positive
3. f(x) will be even number
4. f(x) will be prime number

A

MCQ: The standard normal probability distribution has mean equal to 40, whereas the value of random variable x is 80 and the z-statistic is equal to 1.8 then the standard deviation of standard normal probability distribution is

1. 120
2. 80
3. 40
4. 20

D