Khan Academy

Constructing hypotheses for a significance test about a proportion (K-A)

Comparing P-values to different significance levels (K-A)

Using TI calculator for P-value from t statistic (K-A)

Making conclusions in a test about a proportion (K-A)

Estimating a P-value from a simulation (K-A)

When to use z or t statistics in significance tests (K-A)

Reference: Conditions for inference on a proportion (K-A)

Examples of null and alternative hypotheses (K-A)

Writing hypotheses for a significance test about a mean (K-A)

Significance test for a proportion free response (part 2 with correction) (K-A)

Idea behind hypothesis testing (K-A)

P-values and significance tests (K-A)

Significance test for a proportion free response example-video (K-A)

Using P-values to make conclusions (K-A)

Chi-square goodness-of-fit example (K-A)

Chi-square statistic for hypothesis testing (K-A)

Chi-square test for association (independence) (K-A)

Introduction to the chi-square test for homogeneity (K-A)

Calculating t statistic for slope of regression line (K-A)

Conditions for inference on slope (K-A)

Confidence interval for the slope of a regression line (K-A)

Introduction to inference about slope in linear regression (K-A)

Using a confidence interval to test slope (K-A)

Transforming nonlinear data (K-A)

Using a P-value to make conclusions in a test about slope (K-A)