A Type I statistical error occurs when a researcher claims that there is not enough support to establish significance for the research hypothesis, but in fact there is enough.

True or false?

I believe the answer is: enough statistical support for the research hypothesis when there is not

In statistic terms, a type I error refers to the occurrence of "false positive" findings.

A false positive often happen when we do not have enough subjects which make us believe the data that we took from a small sample represent the true condition outside the research.