Khan Academy

Z-score introduction (K-A)

Mean and standard deviation versus median and IQR (K-A)

Sample standard deviation and bias (K-A)

Sample variance (K-A)

Visually assessing standard deviation (K-A)

Using probabilities to make fair decisions example (K-A)

Expected payoff example: lottery ticket (K-A)

Expected payoff example: protection plan (K-A)

Interpreting expected value (K-A)

Mean (expected value) of a discrete random variable (K-A)

Constructing a probability distribution for random variable (K-A)

Probability with discrete random variable example (K-A)

Valid discrete probability distribution examples (K-A)

Probability distributions from empirical data (K-A)

Theoretical probability distribution example: multiplication (K-A)

Theoretical probability distribution example: tables (K-A)

Linear combinations and spans (K-A)

Introduction to linear independence (K-A)

More on linear independence (K-A)

Span and linear independence example (K-A)

Solving a system of 3 equations and 4 variables using matrix row-echelon form (K-A)

Solving linear systems with matrices (K-A)

Using matrix row-echelon form in order to show a linear system has no solutions (K-A)

Column space of a matrix (K-A)

Dimension of the column space or rank (K-A)