References about this question: The t Test for Independent Means; The Distribution of Differences between Means; Estimating the Population Variance; Hypothesis Testing with a t Test for Independent Means; Assumptions of the t Test for Independent Means; Effect Size and Power for the t Test for Independent Means

Question: A difference score is compared to an unknown population mean (but you figure it to be 0) and the population variance is unknown.Which test would you use?

Z test

t-test for single sample

t-test for dependent means

t-test for independent means

Question: The __________ is a hypothesis-testing procedure in which there are two separate groups of people tested and the population variance is not known.

Z test

t-test for single sample

t-test for dependent means

t-test for independent means

Question: What is the critical difference between a Z test and a single sample t-test (or any other t-tests)?

In a t-test, the variance of the population is estimated

In a t-test, the mean of the population is always known

In a t-test, there is no distribution of means

In a t-test, the difference between the means is much larger

Question: In t-tests, the estimated the population variance is called a(n)

Group of answer choices

Biased estimate

Unbiased estimate

Overestimated

Underestimated

Question: In estimating the variance in t-tests, instead of dividing by N, we divide by:

a. Degrees of freedom

b. N

c. Distribution of France

d. M