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.
Model for cytoplasmic segregation
Limiting factors restrain population growth
Distribution of the World’s Population
The Steady State of the Solow Model
Population and Community Health Nursing, 6th Edition
The epigenetic stem cell model proposes that both epigenetic changes