All other things being held equal,a larger acceptable error term results in:

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Quizplus · Accepted Answer

If the acceptable error term is larger, it means the researcher is willing to tolerate a greater degree of variability in the results. This, in turn, means that a larger sample size is not required because the larger error term actually makes it more likely that the null hypothesis will be retained. Conversely, a smaller acceptable error term requires a larger sample size in order to achieve statistical significance and reject the null hypothesis.

All Other Things Being Held Equal,a Larger Acceptable Error Term