Exam 22: Bivariate Statistical Analysis: Differences Between Two Variables

The type of measurement, the nature of the comparison, and the number of groups to be compared influence the statistical choice.

The key statistical test for an ANOVA model is the _____.

If a researcher is interested in whether males switch jobs more frequently than do females, this is an example of univariate statistics.

A(n) _____ is a test for hypotheses stating that the mean scores from some interval- or ratio-scaled variable group based on some less-than interval classificatory variable are not the same.

Proper use of the c² test requires that each expected frequency have a value of at least _____.

One way to test the significance of contingency tables is by means of the t-test.

ANOVA involving only one grouping variable is often referred to as one-way ANOVA.

The independent samples t-test tests the differences between means taken from two independent samples or groups.

The formula for determining the degrees of freedom for a chi-square test is ______.

One way to interpret the meaning of the results of the t-test is to focus on the ________ and the group means.

In a study comparing the means of two groups in which there are 45 males in Group 1 and 37 females in Group 2, the degrees of freedom for this study when using the t-test for the difference between means is:

The formula given below represents the method for calculating the _____.

The F-distribution is a function of _____.

A cross-tabulation is a simple way to describe the relationships between two groups.

The reason that means that appear to be not so close could be concluded to be statistically the same is due to the variance.

The Z-test for comparing two proportions is appropriate with which null hypothesis (H₀)?

A _____ is an investigation of a hypothesis stating that two (or more) groups differ with respect to measures on a variable.