Topic: Random Variables and Expected Value

Worked Analysis of Two Independent Discrete Variables

Why Independent Variances Add

Why Expectation Is Linear

Variance as Expected Squared Deviation

The Computational Formula for Variance

Support and Probability Mass Functions

Standard Deviation and Measurement Units

Maximum and Minimum of Independent Variables

Means and Variances of Linear Combinations

Mapping Outcomes to Discrete Random Variables