Atype 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.

This is a false statement.

"[...] when a researcher claims that there is not enough support to establish significance for the research hypothesis, but in fact there is enough."

This excerpt in specific is actually a Type II statistical error, not a Type I.

It refers to a false negative, which happens with the acceptance of a false null hypothesis that is actually false. The researcher has no knowledge that there actually is support his hypothesis and yet claims that there isn't.

answer; english speaking;

answer; /// direct cinema limits the use of narrators; ; ; and: : : : allows the audience to observe events as they occur;