Exam 16: Analysis of Variance and Covariance

A statistical technique for examining the differences among means for two or more populations is called ________.

At what point does ω2 begin to represent a larger experimental effect?

The strength of the effects of X (independent variable or factor)on Y (dependent variable)is measured by ________.

A major advantage of ________ is that it enables the researcher to examine interactions between the factors.

SSwithin is referred to as SSerror.

Analysis of variance is so named because it examines the variability or variation in the sample (dependent variable)and,based on the variability,determines whether there is reason to believe that the population means differ.

How consumers' intentions to buy a brand vary with different levels of price and different levels of distribution is best analyzed via ________.

An advanced analysis of variance procedure in which the effects of one or more metric-scaled extraneous variables are removed from the dependent variable before conducting the ANOVA is called ________.

________ are determined before conducting the analysis,based on the researcher's theoretical framework.

In analysis of variance,it is assumed that all the groups have the same variation in the population.

________ is an ANOVA technique using two or more metric dependent variables.

Modest departures from the assumptions in analysis of variance do not seriously affect the validity of the analysis.

The Kruskal-Wallis one-way analysis of variance and the k-sample median test have the same null hypothesis "medians of the k populations are equal."

Analysis of variance and analysis of covariance are tests of differences between two means or median.

Ordinal interaction involves a change in the rank order of the effects of one factor across the levels of another.

The effects of X on Y is measured by ________.

SSwithin is the variation in Y related to the variation within each category of X.

The null hypothesis for ANOVA is that all means are not equal.

Which statement is correct concerning the decomposition of the total variation?

The n-way ANOVA assumes that the design was orthogonal,or balanced (the number of cases in each cell was the same).