Question

a type 1 error is when we reject the null hypothesis when it is actually true select we reject the alternative hypothesis when it is actually true we fail to reject the null hypothesis when it is actually false we use the incorrect statistical analysis

Explanation:

In hypothesis testing, a Type 1 error (also known as a false positive) is defined as rejecting the null hypothesis when it is actually true. The second option is incorrect as Type 1 error is about the null hypothesis, not the alternative. The third option describes a Type 2 error (failing to reject a false null hypothesis). The fourth option is about using incorrect analysis, not a Type 1 error.

Answer:

A. We reject the null hypothesis when it is actually true