In tests of significance, if the test statistic falls in the critical region, we may conclude that________.
A) the population distribution is normal
B) the null hypothesis can be rejected.
C) the research hypothesis is true.
D) our sample size was too small.

Question

Quizplus · Accepted Answer

If the test statistic falls in the critical region, it means that the probability of obtaining that result under the null hypothesis is very low, so we reject the null hypothesis at a certain level of significance. This does not necessarily mean that the research hypothesis is true, but it indicates evidence in favor of it. The population distribution may or may not be normal and the sample size is not relevant to this decision.

In Tests of Significance, If the Test Statistic Falls in the Critical