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.
A single-gene model explains Mendel’s ratios
Eye Model
The posey bed care model
The Distribution of the World's Land and Population
Time vs. USA Population Exponential