Edition 7 - Exercises for Chapter 3 This exercise utilizes the data set leadership.sav. 1.You are interested in investigating if the leadership attribute of humility (HumilityMean) differs by education level (Peduc2have a master's or post-master's degree) among K-12 principals. Complete the necessary steps to examine univariate grouped data in order to respond to the following questions. Although deletions and/or transformations may be implied from your examination, all steps will examine original variables. a.How many participants have missing values for Peduc2 and HumilityMean? b.Is there a severe split in frequencies between groups? c.Which outlying cases should be deleted for each group? d.Analyzing histograms, normal Q-Q plots, and tests of normality, what is your conclusion regarding normality? If a transformation is necessary, which one would you use? e.Do the results from Levene's test for equal variances indicate homogeneity of variance? Explain. f.Based upon the screening results, what would you recommend to fulfill homogeneity of variance? 2.You are interested in studying predictors (HumilityMean and ConfidenceMean) of the overall leadership effectiveness (MLQMean). a.Examine missing data, outliers, and univariate normality for each variable. What are your conclusions about the distributions? What transformations should be conducted? b.Examine multivariate outliers using Mahalanobis distance. What is the chi-square? Which cases should be deleted? c.After deleting the multivariate outliers, examine multivariate normality and linearity by creating a scatterplot matrix. d.Examine the variables for homoscedasticity by creating a residuals plot (standardized vs. predicted values). What are your conclusions about homoscedasticit