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?
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A binomial random variable would be accurate as long as the sampling process used is identical for each trial.
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A geometric random variable would be better in this situation because the population is small and the sampling is without replacement.
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A hypergeometric random variable would be better in this situation because the population is small and the sampling is without replacement.
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A supergeometric random variable would be better in this situation because the population is small and the sampling is without replacement.
An immunoblot. Lanes 1 to 3 are from an SDS gel; samples from successive stages
brain model
By how many times will the population of bacteria have increased after 6 h?
Population Density
Type of Interactions, Model, Examples and Dependence of Energy on Distance
DNA double helix model