Continuous Probability Distribution MCQs Quiz Online PDF Download

Learn continuous probability distribution MCQs, business statistics test for online courses learning and test prep to practice. Probability distributions quiz has multiple choice questions (MCQ), continuous probability distribution quiz questions and answers to learn for online histogram course test.

Statistics practice test MCQ on in normal distribution, z-score and z-statistic are classified as names of with options standardized normal random variable, poisson random variable, normal geometric variable and weighted average variable problem solving skills for viva, competitive exam prep, interview questions with answer key. Free study guide is for online learning continuous probability distribution quiz with MCQs to practice test questions with answers.

MCQs on Continuous Probability Distribution Quiz PDF Download

MCQ. In normal distribution, z-score and z-statistic are classified as names of

  1. standardized normal random variable
  2. Poisson random variable
  3. normal geometric variable
  4. weighted average variable


MCQ. Probability distribution having shape of bell and in which values of mean lies in center of probability distribution is classified as

  1. continuous distribution
  2. normal distribution
  3. discrete distribution
  4. hyper geometric distribution


MCQ. In normal distribution, normal curve becomes more wider and more flatter because of

  1. small value of variance
  2. large value of variance
  3. large value of standard deviation
  4. small value of standard deviation


MCQ. Successful life of product, time, weight and height are classified as

  1. continuous random variable
  2. discrete random variable
  3. continuous waiting time variable
  4. continuous hyper geometric variable


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

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