Exam 9: Testing the Difference Between Two Means

For a group of 18 participants, how many degrees of freedom are there for a t-test for dependent means?

A study compares the means of two groups, each having N = 10. If the standard deviations in the two groups are 4.00 and 6.00, what is the value for the standard error of the difference ?

The ______ symbol is part of the ______ hypothesis, and implies this hypothesis is ______.

When do you determine whether the probability of a statistic such as the t-test is less than .01?

A researcher hypothesizes that women are more in favor of gun control than are men. In conducting an analysis to test this hypothesis, how should the null hypothesis be stated?

In testing the difference between two sample means , a negative (-) value of the t-statistic (t) indicates ______.

In testing the difference between two sample means , the greater the difference between the two means, the more the value of the t-statistic (t) differs from ______.

In testing the difference between two sample means, you would examine the ______ of the two groups to test the assumption of homogeneity of variance.

A researcher states the following hypotheses: H₀: μMales = μ Females and H₁: μMales ≠ μFemales. Assuming she collects data from 15 males and 15 females, what is the appropriate critical value?

In conducting the t-test for dependent means, the difference score (D) is calculated by subtracting ______.

A researcher hypothesizes that nurses have higher average salaries than teachers. In conducting an analysis to test this hypothesis, how might the alternative hypothesis be stated?

Holding all else constant, as sample sizes increase, the degrees of freedom ______ and the critical value(s) ______.

For a t-statistic = 2.56 with 20 degrees of freedom, what would be the appropriate statement about the significance level?

This distribution illustrates a ______.

This distribution illustrates a ______.

For a t-statistic = 3.20 with 10 degrees of freedom, what would be the appropriate statement about the significance level?

In reporting a statistical analysis, a researcher writes "p > .05". By definition this implies that ______.

What did the researcher do to cause the change in the shaded regions from Distribution A to Distribution B? Distribution A Distribution B

When you ______, this implies the probability of the statistic is ______.

Which type of statistic would be appropriate for analyzing a within-subjects research design?