Khan Academy

Recognizing binomial variables (K-A)

Interpreting expected value (K-A)

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

Variance and standard deviation of a discrete random variable (K-A)

Expected value of a binomial variable (K-A)

Finding the mean and standard deviation of a binomial random variable (K-A)

Variance of a binomial variable (K-A)

Cumulative geometric probability (greater than a value) (K-A)

Cumulative geometric probability (less than a value) (K-A)

Geometric distribution mean and standard deviation (K-A)

Geometric random variables introduction (K-A)

Probability for a geometric random variable (K-A)

Proof of expected value of geometric random variable (K-A)

TI-84 geometpdf and geometcdf functions (K-A)

Example: Transforming a discrete random variable (K-A)

Impact of transforming (scaling and shifting) random variables (K-A)

Sample statistic bias worked example (K-A)

Sampling distribution of the difference in sample means: Probability example (K-A)

Sampling distribution of the difference in sample means (K-A)

Sampling distribution of the difference in sample proportions: Probability example (K-A)

Sampling distribution of the difference in sample proportions (K-A)

Example: Probability of sample mean exceeding a value (K-A)

Standard error of the mean (K-A)

Normal conditions for sampling distributions of sample proportions (K-A)

Probability of sample proportions example (K-A)