I know this is a basic question, but for a statistical hypothesis test, there are two possible outcomes and two possibilities for the right answer

[Carlosthemillionaire]

What are the four terms for the outcomes (List full sentences)

 

[Harry_the_cat]

Not sure what you are asking?? Are you talking about Type I and Type II errors?

 

[Carlosthemillionaire]

Not sure what you are asking?? Are you talking about Type I and Type II errors?

yes

 

[gambler]

I'm not quite sure what the exact question is.

False Positives (Type I errors) are rejections of true null hypotheses (finding a difference, when actually there is none)
True Negatives are non-rejections of true null hypotheses (not finding a difference, because there actually isn't one)

False Negatives (Type II errors) are non-rejections of wrong null hypotheses (not finding a difference, when actually there is one)
True Positives are rejections of wrong null hypotheses (finding a difference that is actually there)

Does that answer the question?