* not completed

. Which of the following is true about the variability of a small sample as compared to the variability of its population?

The variability of a small sample is exactly the same as the variability of the underlying population. correct incorrect

The variability of a small sample is slightly larger than the variability of the underlying population. correct incorrect

The variability of a small sample is slightly smaller than the variability of the underlying population. correct incorrect

The variability of a small sample is unrelated to the variability of the underlying population. correct incorrect

* not completed

. What is a difference between a t-test and a z-test?

The observed sample for a t-test is small but the observed sample for a z-test is large. correct incorrect

The t-test is an inferential test but the z-test is a descriptive test. correct incorrect

The t-test does not require knowledge of the population standard deviation, unlike the z-test. correct incorrect

The t-test requires knowledge of a population mean, unlike the z-test. correct incorrect

* not completed

. The t-distribution is:

Positively skewed correct incorrect

Negatively skewed correct incorrect

Symmetric correct incorrect

Bimodal correct incorrect

* not completed

. The standard error of the mean in a t-test replaces the ____________ in a z-test.

Sample variance correct incorrect

Population variance correct incorrect

Standard error of the mean correct incorrect

Sample standard error correct incorrect

* not completed

. Given that the sample standard deviation is 4 and the standard error of the mean is 0.2 for a one-sample t-test, what is the sample size of the study?

20 correct incorrect

400 correct incorrect

8 correct incorrect

16 correct incorrect