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Normal Distribution MCQs Quiz Online PDF Download eBook

Solve Normal Distribution Multiple Choice Questions (MCQ), normal distribution quiz answers PDF worksheet, business statistics practice test for online degree programs. Learn probability distributions Multiple Choice Questions and Answers (MCQs), "Normal Distribution" quiz questions and answers for online master's degree in business management. Learn random variable classes, binomial probability distribution, uniform distribution test prep for online bachelor's degree in business management.

"If the value of x for normal distribution is 35, the mean of normal distribution is 65 and the standard deviation is 25 then the standardized random variable is" Multiple Choice Questions (MCQ) on normal distribution with choices −1.5, −1.2, −1.7, and −4 for online master's degree in business management. Practice normal distribution quiz questions for merit scholarship test and certificate programs for online BBA degree.

MCQs on Normal Distribution PDF Download eBook

MCQ: If the value of x for normal distribution is 35, the mean of normal distribution is 65 and the standard deviation is 25 then the standardized random variable is

  1. −1.5
  2. −1.2
  3. −1.7
  4. −4

B

MCQ: The normal distribution is also classified as

  1. Gaussian distribution
  2. Poisson distribution
  3. Bernoulli's distribution
  4. weighted average distribution

A

MCQ: if the z-score of normal distribution is 2.5, the mean of the distribution is 45 and the standard deviation of normal distribution is 3 then the value of x for a normal distribution is

  1. 97.5
  2. 47.5
  3. 37.5
  4. 67.5

C

MCQ: Considering the normal distribution, the spread is increased and the height of the curve is decreased for the

  1. smaller value of variance
  2. larger value of variance
  3. larger value of standard deviation
  4. smaller value of standard deviation

C

MCQ: Around the central value of observations, the extent to which the values depart from normal distribution is classified as

  1. negative variation
  2. positive variation
  3. skewness
  4. positive trailing

C