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Poisson Distribution MCQs PDF Download – Prep Test

MCQ 1: 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

MCQ 2: 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

MCQ 3: In a negative binomial distribution of probability, the random variable is also classified as:

  1. discrete random variable
  2. continuous waiting time random variable
  3. discrete waiting time random variable
  4. discrete negative binomial variable

MCQ 4: The discrete probability distribution in which the outcome is very small with a very small period of time is classified as:

  1. posterior distribution
  2. cumulative distribution
  3. normal distribution
  4. Poisson distribution

MCQ 5: If the number of trials are 8 and the probability of success are 0.65 then the mean of negative probability distribution is:

  1. 8.65
  2. 12.31
  3. 5.2
  4. 7.35

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