Exam 15: Testing for Differences Between Groups and for Predictive Relationships

Mulitvariate dependence techniques are variants of the general linear model (GLM).

An appropriate test for comparing the scores of two interval variables drawn from related populations is the ____________________.

Cross-tabulation tables typically provide an easy,intuitive way of understanding data.

The independent samples t-test tests the differences between means from no more than four independent samples or groups.

Consider this regression equation: Y = 24.35 - 14.2 X.Here,24.35 is the ____,and -14.2 is the ____.

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

Describe a Z-test for comparing two proportions along with its appropriate null hypothesis.

Discuss the pros and cons of raw regression estimates and standardized regression estimates and discuss when each is appropriate.

The chi-square test tests the significance of the relationship shown in an R X C contingency table in which R stands for row and C stands for column.

The F-test partitions total variance into ____________________ variance and ____________________ variance.

In comparing the difference of the means between two groups,the null hypothesis can also be stated as ____.

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

The statistical significance of a regression model is determined using the ____.

In multiple regression,the dependent variable must be continuous and interval-scaled.

What is another form of the alternative hypothesis when testing the difference between the means of the two groups?