If the observed difference between the sample mean and the hypothesized population mean in a one-sample t test is nonsignificant, then.
A)the null hypothesis was rejected
B)the null hypothesis was not rejected
C)it implies that a Type I error was made
D)the probability that a Type II error was made is equal to .05

Question

Quizplus · Accepted Answer

If the observed difference between the sample mean and the hypothesized population mean is nonsignificant, it means that the null hypothesis cannot be rejected, which is the correct conclusion for a one-sample t test. A nonsignificant result does not necessarily mean a Type I error was made, and it also does not provide information about the probability of a Type II error.

If the Observed Difference Between the Sample Mean and the Hypothesized