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Title: In the ANOVA for the between groups factorial design for two independent variables, the variance for ... Post by: ddbeaumont15 on Feb 20, 2018 In the ANOVA for the between groups factorial design for two independent variables, the variance for the _____ is estimated by comparing all of the cell means to the grand mean and then subtracting the variance of the two main effects
a. interaction c. total b. error term d. main effects In a totals summary table, the _____ sum to the grand total. a. marginals c. column totals b. row totals d. all of these Adding across the rows and down the columns of a totals summary table generates values called _____. a. marginals c. factor summaries b. cell totals d. effect sizes A good strategy for conducting a between subjects factorial ANOVA is to begin by constructing a(n) _____. a. bar graph of the results c. graph of the effect size b. totals summary table d. ANOVA summary table In a between subjects factorial ANOVA, the _____ add up to the totals. a. sums of squares c. mean squares b. degrees of freedom d. a and b In a between subjects factorial ANOVA, the F ratio represents a comparison of the variance caused by the treatments to the variance due to the _____. a. interaction c. total variation in the experiment b. main effects d. baseline variation within the cells In the summary table for a between subjects factorial ANOVA, instead of seeing the row labeled between groups we see which of the following sources of variance? a. main effect of Factor A c. interaction of A X B b. main effect of Factor B d. all of these In a between subjects factorial ANOVA, the mean square within is found by dividing the sum of squares by the a. degrees of freedom within c. degrees of freedom for the interaction b. degrees of freedom total d. degrees of freedom for Factor B Which of these terms does NOT refer to the same thing as the other 3? a. residual variance c. within variance b. total variance d. error variance The denominator for the F ratio in a between subjects factorial ANOVA is the _____. a. mean square within c. sum of squares within b. mean square between d. total sum of squares Title: In the ANOVA for the between groups factorial design for two independent variables, the variance for ... Post by: dainun on Feb 20, 2018 A
This is the procedure for estimating the variance due to the interaction of the two factors. - - - - - - - - - - - - D The grand total is the total of all scores, and it is obtained by adding the marginals (which are the row totals and column totals). - - - - - - - - - - - - A The totals of the rows and columns are called marginals. - - - - - - - - - - - - B A totals summary table is a good way to begin because it contains the sums of the cells, the rows and the columns. - - - - - - - - - - - - D The sums of squares and degrees of freedom for the sources listed add up to the total sums of squares and degrees of freedom. - - - - - - - - - - - - D The denominator of the f ratio is the within cell mean square. - - - - - - - - - - - - D The variance between groups is partitioned into variance associated with each main effect and the interaction. - - - - - - - - - - - - A The sum of squares is always divided by its corresponding degrees of freedom to calculate the mean square. - - - - - - - - - - - - B The total variance is different from the other three, which all refer to the variance within the cells of a factorial ANOVA. - - - - - - - - - - - - A The mean square within is the denominator for all of the F ratios calculated in the between subjects factorial ANOVA. Title: In the ANOVA for the between groups factorial design for two independent variables, the variance for ... Post by: ddbeaumont15 on Feb 20, 2018 TY
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