Sampling Distribution

A sampling distribution is the probability distribution of a specific statistic—like a mean or proportion—calculated from many different random samples of the same size drawn from a population. It helps us understand how that statistic varies across samples and allows us to make inferences about the overall population. Essentially, it shows the typical range of values we might expect for our statistic if we repeated the sampling process many times, providing a foundation for making informed decisions based on sample data.