Variance, Standard Deviation & Moments of Discrete RVs

Calculate discrete variance, standard deviation and raw or central moments from finite probability models. Explore transformations, degenerate cases, moment consistency, squared error and distributions with equal variance but different higher moments. Prerequisites: expected value and LOTUS. Worked explanations distinguish known-distribution calculations from sample estimation. Includes single-select and multiselect questions with worked solutions and distractor feedback.

References: 3.2.4 Definition, computational formula and affine transformation, 3.2.3 Functions and LOTUS.