Poisson Distribution Questions and Answers PDF Download eBook
Poisson Distribution trivia questions and answers, poisson distribution quiz answers PDF 36 to practice statistics exam questions for online classes. Practice Probability Distributions trivia questions and answers, poisson distribution Multiple Choice Questions (MCQ) to practice statistics test with answers for online university degrees. Free poisson distribution MCQs, calculating moments, expected value and variance, statistical measures, statistical techniques, poisson distribution test prep for accredited online business management degree.
"In a negative binomial distribution of probability, the random variable is also classified as", poisson distribution Multiple Choice Questions (MCQ) with choices continuous waiting time random variable, discrete random variable, discrete waiting time random variable, and discrete negative binomial variable to study business degree courses. Learn probability distributions questions and answers to improve problem solving skills for online business and administration degree.
Trivia Quiz on Poisson Distribution PDF Download eBook
MCQ: 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
C
MCQ: The process of converting inputs into outputs in the presence of repeatedly same conditions is classified as
- sampler
- parameters
- process
- mixer
C
MCQ: The statistical measures such as deciles, percentiles, median and quartiles are classified as part of
- percentile system
- quartile system
- deciles system
- moment system
A
MCQ: The demand of products per day for three days are 21, 19, 22 units and their respective probabilities are 0.29, 0.40, 0.35. The profit per unit is $0.50 then the expected profits for three days are
- 21, 19, 22
- 21.5, 19.5, 22.5
- 0.29, 0.40, 0.35
- 3.045, 3.8, 3.85
D
MCQ: For the ungrouped data in calculation of moments from mean, the formula to calculate this measure is
- 1⁄n Σ(x-mean)r
- 2⁄n Σ(x-mean)r
- 2⁄n Σ(x+mean)r
- 2⁄n Σ(x+mean)x
A