Improve your data quality using sampling distribution

Sampling Distribution of a Statistic

The term sampling distribution of a statistic refers to the distribution of some sample statistic, over many samples drawn from the same population. Much of classical statistics is concerned with making inferences from (small) samples to (very large) populations.

Typically, a sample is drawn with the goal of measuring something (with a sample statistic) or modeling something (with a statistical or machine learning model). Since our estimate or model is based on a sample, it might be in error—it might be different if we were to draw a different sample. We are therefore interested in how different it might be—a key concern is sampling variability. If we had lots of data, we could draw additional samples and observe the distribution of a sample statistic directly. Typically, we will calculate ...

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