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Learn Normal Distribution Multiple Choice Questions (MCQ Quiz) with Answers PDF (Normal Distribution MCQ PDF e-Book) download to study BBA Business Statistics Tests. Study Probability Distributions Multiple Choice Questions and Answers (MCQs), Normal Distribution quiz answers PDF for BBA global business. Free Normal Distribution Study App Download: BBA Business Statistics MCQ App to study binomial distribution, standard normal probability distribution, discrete probability distributions test prep to strengthen analytics mastery.

Free "Normal Distribution" App Download with 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; with answers: −1.5, −1.2, −1.7, and &minus4 for BBA global business. Practice Normal Distribution Quiz Questions, download Google e-Book (Free Chapter) to enhance forecasting skills.

Normal Distribution MCQs PDF Download – Prep Test

MCQ 1: 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

MCQ 2: The normal distribution is also classified as:

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

MCQ 3: 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

MCQ 4: 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

MCQ 5: 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

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