Significance tests (hypothesis testing)

This course is a part of Statistics and probability, a 16-course Topic series from Khan Academy.

Significance tests give us a formal process for using sample data to evaluate the likelihood of some claim about a population value. We calculate p-values to see how likely a sample result is to occur by random chance, and we use p-values to make conclusions about hypotheses.

This course contains 5 segments:

The idea of significance tests

This tutorial gives some intuition for how we go through a significance test, what a p-value is, how we make conclusions, and what types of error we may make in our conclusions.

Error probabilities and power

Tests about a population proportion

These significance tests tell us if a sample offers convincing evidence that a population proportion is different from some hypothesized value.

Tests about a population mean

These significance tests tell us if a sample offers convincing evidence that a population mean is different from some hypothesized value.

More significance testing videos