Can anyone please help me with mypre datascreening homework in Statistics using SPSS?

This exercise utilizes thedata setschools-a.sav, which can be downloaded from this website:

www.Pyrczak.com/date

1). You are interested in investigating if being above or below the median income (medlonic) impacts ACT means (act94) for schools. Complete the necessary steps to examine univariate grouped data in order to respond to the questions below. Although deletions and/or transformations may be implied from your examination, all steps will examine original variables.

a.)How many participants have missing values formedlonicand act94?

b) Is there a severe split in frequencies between groups?

c) What are the cutoff values for outliers in each group?

d) Which outlying cases should be deleted for each group?

e). 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?

f). Do the results from Levene's Test of equal Variances indicate homogeneity of variance? Explain

2). Examination of the variable of scienc93 indicates a substantial to severe positively skewed distribution. Transform this variable using the two most appropriate methods. After examining the distributions for these transformed variables, which produced the better alteration?

3). You are interested in studying predators (math94me, lonic93, and read94me) of the percentage graduating in 1994(grad94).

a). Examine univariate normality for each variable. What are your conclusions about the distributions? What transformations should be conducted?

b). After making the necessary transformations, examine multivariate outliers using Mahalanobis distance. Which cases should be deleted?

c.) After deleting the multivariateoutliers,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 homoscedasticity?