The major confusion lies when I am reading failing to reject or rejecting the null....the failing to reject makes me think accept the null, but it gets messy when I think it out. For example:

Ho: reduced classroom size is not effective

H1: reduced classroom size is effective

A. Explain in plain english what the type I error rate would be in the context of this experiment.

B. Explain in plain english what the type II error rate would be in the context of this experiment.

Type I error is the probablility of falsely rejecting the null

Type II is failing to reject the null when the null is true

How do I know where to put in my answer - in a statement about the null or alternative?

Are my working definitions of type I and II right? Any good ways to think about answering this question? Thanks!