The difference between a t test for a single sample and a Z test for a single sample is the way
A)the problem is restated as a research hypothesis and a null hypothesis about the populations.
B)the mean of the known population is determined.
C)the variance of the known population is determined.
D)the decision about whether to reject the null hypothesis is made.

Question

Quizplus · Accepted Answer

The primary difference between a t-test and a Z-test for a single sample lies in how the variance of the known population is determined. A t-test is used when the population variance is unknown and is estimated from the sample, whereas a Z-test is used when the population variance is known.

The Difference Between a T Test for a Single Sample