Category: Statistical Significance Testing

Two types of error are possible from a hypothesis test: Type I and Type II errors. Type I error, also known as a “false positive”, is the error of rejecting … Read More

A statistical hypothesis is an assumption about the parameters describing a population (not a sample). This assumption may be true or false. Hypothesis tests (also called significance tests) are to … Read More