3. Answer the following questions about factorial ANOVAs:

a.) The following ANOVA table (illustrating group means) shows the results of a study using an independent-measures factorial ANOVA research design. Determine whether or not there appears to be (i) a main effect for Factor A, (ii) a main effect for Factor B, and/or (iii) an AxB interaction effect. Explain how you arrived at your decision regarding the presence/absence of a main effect of Factor A, a main effect of Factor B, and an AxB interaction. Assume that any difference between means are statistically significant. Assume Factor A is 'Age' and Factor B is 'Stress' and the dependent variable is Happiness Score.

b.) The following ANOVA table (illustrating group means) shows the results of a study using an independent-measures factorial ANOVA research design. Determine whether or not there appears to be (i) a main effect for Factor A, (ii) a main effect for Factor B, and/or (iii) an AxB interaction effect. Explain how you arrived at your decision regarding the presence/absence of a main effect of Factor A, a main effect of Factor B, and an AxB interaction. Assume that any difference between means are statistically significant. Assume Factor A is 'Medication' and Factor B is 'Therapy' and the dependent variable is Symptoms of Depression.

c.) The following ANOVA table (illustrating group means) shows the results of a study using an independent-measures factorial ANOVA research design. Determine whether or not there appears to be (i) a main effect for Factor A, (ii) a main effect for Factor B, and/or (iii) an AxB interaction effect. Explain how you arrived at your decision regarding the presence/absence of a main effect of Factor A, a main effect of Factor B, and an AxB interaction. Assume that any difference between means are statistically significant. Assume Factor A is 'Memory Training' and Factor B is 'Sleep Deprivation' and the dependent variable is memory recall (i.e., number of words correctly recalled from a previously studied word list).