The variability of a process output is equivalent to the distribution of sample means of that process output for any sample size taken from the process.

Question

Quizplus · Accepted Answer

The variability of a process output refers to the spread or dispersion of individual data points. In contrast, the distribution of sample means (often described by the Central Limit Theorem) tends to become normally distributed regardless of the shape of the process output distribution, and its variability decreases as the sample size increases.

The Variability of a Process Output Is Equivalent to the Distribution