Exam 12: Experimental Design and Analysis Iv

A factorial design has two levels of factor A and three levels of factor B with six participants in each condition. The F-ratio for factor B would have _____ degrees of freedom.

In a study with three levels of factor A, three levels of factor B, and six participants in each condition, the dfs for factors A and B respectively would be _____ and _____.

In a two-way factorial ANOVA, the formula for calculating SS_Total is

When graphed, a significant interaction will definitely have

In a study examining the effects of gender (male or female) and major (psychology, computer science, philosophy, or biology) on college students' willingness to perform community service work, how many interaction effects are possible?

In a two-way factorial ANOVA, the formula for calculating df_Total is

In a two-way factorial ANOVA, the formula for calculating df_A×B is

In a two-way factorial ANOVA, to calculate MS_A×B we divide _____ by _____.

Two-way ANOVA is to _____ variables as three-way ANOVA is to _____ variables

An experiment with four variables each with two levels is a _____ design.

For a two-way factorial design, there is the possibility of _____ main effect(s) and _____ interaction effect(s).

How many conditions would there be in a factorial design with two levels of factor A and three levels of factor B?

In a two-way factorial ANOVA, the formula for calculating SS_{Factor B} is

In a matrix for a factorial design, the row means and column means represent the effects of

Provide the factorial notation for the following experimental design. Two independent variables:​ 1. Crust Type (thick, thin, pan, and hand-tossed) 2. Topping Type (plain, sausage, pepperoni, veggie, anchovy, and everything)

In a two-way factorial ANOVA, the formula for calculating SS_A×B is​

In a two-way factorial ANOVA, the formula for calculating df_{Factor A} is

The following ANOVA Table corresponds to an experiment with two IV's: 1) Time of Day (Morning or Afternoon) and 2) Room Temperature (Cool, Normal, or Warm). The productivity level (on a 0-100 scale) of employees during the morning or afternoon is measured in cool, normal, or warm working conditions. This is a completely between-participants design. The corresponding means for each group follow: Cool Temp/Afternoon - 55 Cool Temp/Morning - 100 Normal Temp/Afternoon - 60 Normal Temp/Morning - 60 Warm Temp/Afternoon - 50 Warm Temp/Morning - 10 Construct the matrix showing the means in each cell, give the factorial notation, fill in the ANOVA Table, draw a graph showing the results, calculate Tukey's HSD if appropriate, and draw conclusions concerning this study. There are 10 participants in each cell (condition).

In a two-way factorial ANOVA, to calculate MS_{Factor B} we divide _____ by _____.

A factorial design has two levels of factor A and three levels of factor B with six participants in each condition. The F-ratio for factor A would have _____ degrees of freedom.