Answer
Hyper-geometric distribution is the probability distribution that is applied to determine the probability of x successes in n trials when the trials are not independent.
It is applicable when the trials are not independent, such a case occurs when a sample is drawn without replacement from a finite population.
For example, suppose 20% of all auto parts manufactured at a company are defective. Four auto parts are selected at random. We are to find the probability that three of the four auto parts are good and one is defective.
Work Step by Step
See above.
