A probability distribution for a random variable describes how probabilities are distributed over the values of the random variable.

Summary measures of a probability distribution are *mean (central tendency),
Variance (dispersion or spread)* and *Skewness* or *Kurtosis (shape)*.

Relationship between mean and variance for *linear functions*:

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