Our text defines a null hypothesis as a statement about a relation between the two populations in a study
(Aron, Aron, & Coups, 2009). This hypothesis is the opposite of the
research hypothesis. Researchers use z scores to determine whether to reject
the null hypothesis. The actual samples’ z scores are compared to the cutoff z
score. If the actual score exceeds the cutoff score, then the null hypothesis
is rejected. Hypothesis testing involves double negative logic because the null
hypothesis is never accepted only rejected. If research does not reject the
null hypothesis, it is worded as “failure to reject the null hypothesis”. One never
says they have accepted the null hypothesis.
Aron, A., Aron, E. N., & Coups, E. J. (2009). Statistics for psychology (5th ed). Upper Saddle River, NJ: Pearson/Prentice Hall.
Using someone else's work without giving proper credit, is plagiarism. If you use my work, please reference it.