Chi-Square Sampling Distribution

Build chi-square variables from squared normal components and connect them to the sampling distribution of variance. Track residual degrees of freedom, scaling conventions, additivity and situations in which the exact law fails.

Prerequisites: Normal variables, sample variance and independent random variables. Includes single-select and multiselect practice with worked explanations and misconception analysis. Questions are independently answerable; local learning order progresses from foundations to analytical challenges.