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1Question oneIndependent VariablesI.II.GenderTreatmentDependent VariableAnxiety level (Treatment Effect)Emotion, WorryQuestion twoFactorial MANOVA is appropriate in this design because this able to detect the differences indata sets in the case where such variations exist which is not possible in ANOVA. It alsoprovides a way to control inflated type 1 errors.Question ThreeYes. In the SPSS data file, the data measurements for Gender and Treatment was recorded asOrdinal while it ought to be Nominal. I changed it to Nominal ScaleQuestion FourPerform Initial Data Screening. What did you find regarding missing values, univariate outliers,multivariate outliers, normality?From the case processing summary there are no kissing values N=100From the boxplots there is no evidence of extreme Univariate outliers,From the Mahalanobis Distance, there is no evidence of Multivariate outliers in the data set.2From the histograms generated, it is evident that the data is normally distributed as evidenced bybell shaped histograms.Question FiveWhat have you found about whether the data meet these additional assumptions for theMANOVA and follow-up ANOVAs? Explain.Bartl ...


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