Business Courses (BBA)

Business Statistics Quizzes

Business Statistics Quiz Answers - Complete

Poisson Distribution Interview Questions with Answers PDF p. 36

Poisson Distribution interview questions and answers, poisson distribution trivia questions PDF 36 to learn online Business Statistics course for online classes. Probability Distributions MCQ questions, poisson distribution Multiple Choice Questions (MCQ) for online college degrees. "Poisson Distribution Book" PDF: 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" MCQ PDF: continuous waiting time random variable, discrete random variable, discrete waiting time random variable, and discrete negative binomial variable for online schools for business administration. Study probability distributions questions and answers to improve problem solving skills for online business and administration degree.

Trivia Quiz on Poisson Distribution MCQs

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

MCQ: The process of converting inputs into outputs in the presence of repeatedly same conditions is classified as


MCQ: The statistical measures such as deciles, percentiles, median and quartiles are classified as part of

percentile system
quartile system
deciles system
moment system

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

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