Quantitative Analysis: Variables, Z Scores, Population, and Output

Using the CollegeStudentData.sav file (see Appendix A), do thefollowing problems. Print your outputs and circle the key parts of the outputthat you discuss.
4.1.For the variables with five or more ordered levels, computethe skewness. Describe the results. Which variables in the dataset areapproximately normally distributed/scale? Which ones are ordered but notnormal?
4.2.Do a stem-and-leaf plot for the same-sex parents height splitby sex at birth. Discuss the plots.
4.3.Which variables are nominal? Run Frequencies for the nominalvariables and other variables with fewer than five levels. Comment on theresults.
4.4.Do boxplots for student height and for hours of study. Comparethe two plots. MakeSure to:
1.     Attachyour word document for review 
2.      Write the problemnumber and the problem title as a level one heading (Example A.1.1: Chapter2, Problem 2.1, and then provide yourresponse.
3.      Use level two headingswith short titlesfor multi part questions (Example A1.1.a, Short Title,A1.1.b, Short Title II, etc.)
4.      Use appropriate level headings for key elementsof your discussion such as Research Questions, Hypotheses, DescriptiveStatistics, Assumptions & Conditions, Interpretation, Results, and others.Your goal is to make your analysis easy to follow and logical.
5.     Ensurethat all tables and graphs are legible and include a figure number.
6.      Carefully reviewyour document prior to submission for formatting, flow, and readability. Keepin mind that running the statistical tests is only the first half of thechallenge; you must be able to clearly communicate your findings to the reader.

Morgan, G. A., Leech, N., Gloeckner, G., & Barrett, K. (2020). IBM SPSS for introductory statistics (6th ed.). Routledge.