What is a Type I error?

1 Answer
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.