Exam 22: Bivariate Statistical Analysis: Differences Between Two Variables

Supposed you used a 10-point rating scale to measure intention-to-buy (1 = definitely would not buy and 10 = definitely would buy). If a group of 40 males had a mean of 7 and a standard deviation of 2.5, while a group of 35 females had a mean of 5 and a standard deviation of 1.4, the standard error of the difference between the means would be approximately _____.

All of the following are forms of variance considered in an F-test EXCEPT _____.

The ______ test studies the significance of a contingency table.

Explain what a Z-test for comparing two proportions is and the appropriate hypothesis.

The degrees of freedom are calculated as d.f. = n - 1 when using the t-test for comparing two means.

To use the chi-square test, both variables in a 2 x 2 contingency table must be measured on a ratio scale.

Which should be used when comparing the means of three groups to see if they are significantly different from one another?

Explain what an independent samples t-test is and the null hypothesis examine.

A Z-test for differences of proportions requires a sample size greater than 100.

The first basic step in interpreting t-test results is to find the p-value associated with a particular t and the corresponding degrees of freedom.

The sum of differences between the group mean and the grand mean summed over all groups for a given set of observations is called _____ variance.

A pooled estimate of the standard error is a better estimate of the standard error than one based on the variance from either sample.

The null hypothesis for an ANOVA test comparing the means of three groups is: m_{1 ¹} m_{2 ¹} m_3.

Tests are bivariate tests of differences when they involve only two variables: a variable that acts like a dependent variable and a variable that acts as a classification variable.

The _____ for differences of proportions is a technique used to test the hypothesis that proportions are significantly different for two independent samples or groups.

List the practical steps for interpreting t-test results.

What is ANOVA and when is it the appropriate statistical technique? What test is used to determine significance? Give an example of a research question that can be analyzed using ANOVA.

Which of the following is a requirement for using the Z-test for differences of proportions?

_____ is the appropriate statistical tool to use when comparing the means of three or more groups to see if they are significantly different from one another.

The t-test assumes that the two population means are equal.