Step 5. Discuss the conclusions of the factorial ANOVA as they relate to the research question.Finally, for each factor and the interaction, interpret the results against the null hypotheses articulated in step 2.For each factor and the interaction, also report SPSS calculations of observed power and interpret them in terms of type II error.Report the results for both main effects and the interaction, including F, degrees of freedom, the F value, the p value, a calculation of effect size, and interpretation of the effect size (calculate and report simple eta squared do not use partial eta squared from SPSS output). Then paste the SPSS output for the factorial ANOVA.Provide a visual interpretation of this graph in terms of possible main effects and an interaction. Designate Factor A on the horizontal axis and separate lines for Factor B. Next, paste SPSS output of the A*B cell means plot on Y.You may paste SPSS output of these descriptive statistics, but you should also report them in the narrative. To provide context, begin by reporting the grand mean on Y, the means of Y for both main effects (A, B) and the means of the interaction (A*B).Summarize whether or not the assumptions of the factorial ANOVA are met. Report the results of the Shapiro-Wilk test and Levene test and interpret them. Paste SPSS descriptive statistics output showing skewness and kurtosis values for total score and interpret them (that is, values of 0 are perfectly normal values between +/- 1 are ideal values +/- 2 are acceptable values beyond +/- 2 are a potential violation). Paste the SPSS histogram output for heart rate and discuss your visual interpretations.
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Define the corresponding scales of measurement for each variable. Include a definition of the specified variables, levels of each factor, and the outcome variable.