Sampling with replacement is a statistical method where each member of a population can be selected multiple times in a sample. This technique is important as it allows for the same data point to be included in the sample more than once, providing the flexibility to analyze data sets where the independence of samples is crucial. This method also affects the probabilities involved in calculations and can influence the variability of the estimates derived from the sample.
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