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# Poisson Distribution MCQ with Answers PDF

Practice Poisson Distribution Multiple Choice Questions (MCQ), business statistics quiz answers PDF with live worksheets for online degrees. Solve probability distributions Multiple Choice Questions and Answers (MCQs), Poisson Distribution quiz questions bank for online business and management degree. "Poisson Distribution MCQ" PDF book: statistics questions answers, rectangular distribution, binomial distribution, discrete probability distributions test prep for business management degree online.

"The distribution whose function is calculated by considering the Bernoulli trials that are infinite In number is classified as" Multiple Choice Questions (MCQ) on poisson distribution with choices negative poisson distribution, bimodal cumulative distribution, common probability distribution, and negative binomial probability distribution for online business and management degree. Solve poisson distribution quiz questions for merit scholarship test and certificate programs for online business management classes.

## MCQs on Poisson Distribution

1.

The distribution whose function is calculated by considering the Bernoulli trials that are infinite In number is classified as

negative Poisson distribution
bimodal cumulative distribution
common probability distribution
negative binomial probability distribution

2.

In the Poisson probability distribution, if the value of λ is integer then the distribution will be

bimodal
unimodal
positive modal
negative modal

3.

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

discrete random variable
continuous waiting time random variable
discrete waiting time random variable
discrete negative binomial variable

4.

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

posterior distribution
cumulative distribution
normal distribution
Poisson distribution

5.

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

8.65
12.31
5.2
7.35