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BBA Business Statistics MCQs – Practice Test 9 (Chapter 7)

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Study Probability Distributions Multiple Choice Questions (MCQs) with Answers PDF to strengthen business knowledge. Download the Probability Distributions MCQs PDF e-Book, Ch. 7-9 to study BBA Business Statistics Course. Practice Random Variable Classes MCQs, Probability Distributions Notes questions and answers PDF to strengthen statistical expertise. Download the Probability Distributions MCQs App: Free BBA Business Statistics App to study standard normal probability distribution, statistics questions answers, rectangular distribution career test for BBA business research.

The "Probability Distributions MCQs" App Download: 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; MCQ with answers: 80, 120, 40, and 20. Solve Arithmetic Mean Quiz Questions, download Google e-Book (Free Chapter) to strengthen business knowledge.

Probability Distributions MCQs PDF Download – Practice Test 9

MCQ 41: The probability distribution of discrete random variable is classified as:

  1. probability mass function
  2. posterior mass function
  3. interior mass function
  4. continuous mass function

MCQ 42: 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

MCQ 43: In standard normal probability distribution, the z-score of distribution will be zero if:

  1. x < μ
  2. x > μ
  3. x = μ
  4. all of above

MCQ 44: If the value of λ is 9 and value of random variable x is 5 then the value of z-score is:

  1. −2.58
  2. −1.86
  3. −2.34
  4. −1.34

MCQ 45: The formula of calculating the expected value of random variable x of gamma distribution is as:

  1. E(x) = n ⁄ μ
  2. E(x) = pq ⁄ μ
  3. E(x) = μ ⁄ np
  4. E(x) = α ⁄ μ

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