Select all variables except lastname, firstname, grade, passfail. Compute descriptive statistics including

Select all variables except lastname, firstname, grade, passfail. Compute descriptive statistics including mean, standard deviation, kurtosis, skewness. Edit so that you eliminate "S.E. Kurt" and "S.E. Skew"
*Draw a line through any variable that have meaningless descriptives (either categorical or known to not be normally distributed)
*Place an * next to variables that in the ideal range for both skewness and kurtosis
*Place an X next to variable that are acceptable not excellent
*Place a y next to any variables that are not acceptable for further analysis
Variables: gender by ethnic. Select: observed count, expected count, unstandardized residuals. Compute Chi-square, Phi and Cramer's V. Circle the observed (actual) values. Box the expected values. Put an * next to unstandardized residuals. Underline significance value
*what is the nature of the relationship?
*is there a linear association?
*Is there a problem with low-count cells?
Compare men with women (gender) for quiz 1, quiz2, quiz3, quiz4, quiz5, final, total. Does pairing quiz1 with quiz2, quiz1 with quiz3, quiz1 with quiz4, quiz1 with quiz5 produce significant differences? Compare the gpa variable with the mean gpa of the university of 2.89.

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