Normal Distribution MCQs Quiz Online PDF Download

Learn normal distribution MCQs, online MBA business statistics test for distance education, online data analytics courses prep. Practice probability distributions multiple choice questions (MCQs), normal distribution quiz questions and answers. GMAT test prep on rectangular distribution, binomial distribution, standard normal probability distribution, normal distribution tutorials for online statistics math courses distance learning.

Study bachelor in business administration and executive MBA degree MCQs: if value of x for normal distribution is 35, mean of normal distribution is 65 and standard deviation is 25 then standardized random variable is, for online data analytics courses with choices −1.5, −1.2, −1.7, −4 for online subjective and objective university majors eLearning for undergraduate and graduate degrees' study tests. Free skills assessment test is for online learn normal distribution quiz questions with MCQs, exam preparation questions and answers for business data analyst job's exam preparation.

MCQs on Normal DistributionQuiz PDF Download

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

  1. −1.5
  2. −1.2
  3. −1.7
  4. −4

B

MCQ: Normal distribution is also classified as

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

A

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

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

C

MCQ: Considering normal distribution, spread is increased and height of 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 central value of observations, extent to which values depart from normal distribution is classified as

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

C