Sampling without replacement is a statistical method where selected items are not returned to the population before the next selection. This means that once an item is chosen, it cannot be selected again in that same sampling process. This technique affects the probabilities of subsequent selections, making it essential in understanding how to analyze data drawn from finite populations, especially in contexts like the hypergeometric distribution.
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