Title: We wish to model a sampling situation from a population of 100 samples, where each will be evaluated ... Post by: nevermind11111 on Feb 19, 2023 We wish to model a sampling situation from a population of 100 samples, where each will be evaluated as either a success or a failure. The proportion of “successes” in the population is known, and a sample without replacement is to be selected. It is proposed to use a binomial random variable to model probability in this model. Which of the following statements is accurate concerning this situation? ▸ A binomial random variable would be accurate as long as the sampling process used is identical for each trial. ▸ A geometric random variable would be better in this situation because the population is small and the sampling is without replacement. ▸ A hypergeometric random variable would be better in this situation because the population is small and the sampling is without replacement. ▸ A supergeometric random variable would be better in this situation because the population is small and the sampling is without replacement. Title: Re: We wish to model a sampling situation from a population of 100 samples, where each will be evaluated ... Post by: yoyoguy on Feb 19, 2023 Content hidden
