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MCQs

Random Variable And Probability Distributions

Total Questions : 83 | Page 3 of 9 pages
Question 21. Considering the normal distribution, the spread is decreased and the height of the 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
 Discuss Question
Answer: Option B. -> smaller value of standard deviation
Answer: (b).smaller value of standard deviation
Question 22. In the classification of probability distributions, the 'Erlang distribution' is also called
  1.    alpha distribution
  2.    beta distribution
  3.    gamma distribution
  4.    exponential distribution
 Discuss Question
Answer: Option C. -> gamma distribution
Answer: (c).gamma distribution
Question 23. The formula of calculating mean for the negative binomial probability distribution is
  1.    q ⁄ p
  2.    P ⁄ Q
  3.    p ⁄ r
  4.    r ⁄ p
 Discuss Question
Answer: Option D. -> r ⁄ p
Answer: (d).r ⁄ p
Question 24. The formula in which the Poisson probability distribution approaches normal probability distribution with the help of normal variable is written as
  1.    x + λ ⁄ square root of λ
  2.    x * λ ⁄ square root of x*λ
  3.    x - λ ⁄ square root of λ
  4.    x + λ ⁄ square root of pqλ
 Discuss Question
Answer: Option C. -> x - λ ⁄ square root of λ
Answer: (c).x - λ ⁄ square root of λ
Question 25. In the Poisson probability distribution, if the value of λ is integer then the distribution will be
  1.    bimodal
  2.    unimodal
  3.    positive modal
  4.    negative modal
 Discuss Question
Answer: Option A. -> bimodal
Answer: (a).bimodal
Question 26. The distribution whose function is calculated by considering the Bernoulli trials that are infinite In number is classified as
  1.    negative Poisson distribution
  2.    bimodal cumulative distribution
  3.    common probability distribution
  4.    negative binomial probability distribution
 Discuss Question
Answer: Option D. -> negative binomial probability distribution
Answer: (d).negative binomial probability distribution
Question 27. The mean of binomial probability distribution is 857.6 and the probability is 64% then the number of values of binomial distribution
  1.    1040
  2.    1340
  3.    1240
  4.    1140
 Discuss Question
Answer: Option B. -> 1340
Answer: (b).1340
Question 28. The tail or head, the one or zero and the girl and boy are examples of
  1.    non-functional events
  2.    complementary events
  3.    non complementary events
  4.    functional events
 Discuss Question
Answer: Option B. -> complementary events
Answer: (b).complementary events
Question 29. If the value of interval a is 2.5 and the value of interval b is 3.5 then the value of mean for uniform distribution is
  1.    0.5
  2.    3
  3.    2.5
  4.    3.5
 Discuss Question
Answer: Option B. -> 3
Answer: (b).3
Question 30. In binomial probability distribution, the success and failure generated by the trial is respectively denoted by
  1.    p and q
  2.    a and b
  3.    p + q
  4.    p - q
 Discuss Question
Answer: Option A. -> p and q
Answer: (a).p and q

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