# What is a Type I error?

Feb 20, 2018

There are two types of errors in statistical testing: Type I and Type II

#### Explanation:

There are two types of errors in statistical testing (while completing hypothesis testing):

a. A researcher rejects ${H}_{0}$ although ${H}_{0}$ is correct. This is called Type I error.

b. A researcher accepts ${H}_{0}$ despite the fact that ${H}_{0}$ is false. This type of error is called Type II error.

${H}_{0}$ is called the null hypothesis.

P. S. let me know if you want me to explain what the null hypothesis is.