Univariate Analysis and Normality Test Using SAS, Stata, and SPSS

Hun Myoung Park
Winter 2008

For the latest revision, see the pdf format.

Table of Contents

  • 1. Introduction
  • 2. Graphical Methods
    • 2.1 Descriptive Plots
    • 2.2 Theory-driven Plots
  • 3. Numerical Methods
    • 3.1 Descriptive Statistics
    • 3.2 Theory-driven Statistics
    • 3.3 Jarque-Bera (Skewness-Kurtosis) Test
    • 3.4 Software Issues
  • 4. Testing Normality Using SAS
    • 4.1 A Normally Distributed Variable
    • 4.2 A Non-normally Distributed Variable
  • 5. Testing Normality Using Stata
    • 5.1 Graphical Methods
    • 5.2 Numerical Methods
  • 6. Testing Normality Using SPSS
    • 6.1 A Normally Distributed Variable
    • 6.2 A Non-normally Distributed Variable
  • 6. Conclusion
  • References

This document summarizes graphical and numerical methods for univariate analysis and normality test, and illustrates how to do using SAS 9.1, Stata 10 special edition, and SPSS 16.

The citation of this document should read: "Park, Hun Myoung. 2008. Univariate Analysis and Normality Test Using SAS, Stata, and SPSS. Working Paper. The University Information Technology Services (UITS) Center for Statistical and Mathematical Computing, Indiana University."

Data Sets

1. Unemployment Rate of Illinois, Indiana, and Ohio in 2005: SAS | Stata

2. A Randomly Drawn Variable (N=500): SAS | Stata

3. Per Capita Gross National Income in 2005: SAS | Stata