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Utilizing SAS and JMP for Shapiro-Wilks Normality Testing

Learn how to use SAS and JMP to check if data follows a normal distribution. Compare Shapiro-Wilks stats and p-values to determine normality for variables x and y. Analyze and interpret results using JMP's distribution analysis feature.

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Utilizing SAS and JMP for Shapiro-Wilks Normality Testing

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  1. Using SAS and JMP to check if x and y ~ N Normal option generates Shapiro Wilks Stats

  2. Double click here

  3. Shapiro Wilks Stat for x, price charged

  4. Look at p value. If p value >5% then likely that data follows a normal distribution.

  5. Do the same for y (here quantity sold, SAS variable name Q)

  6. Double click here

  7. Again compare reported p value to alpha of 5%. If greater than 5% cannot reject null that Q “follows a normal distribution”.

  8. In JMP Open table

  9. I have exported SAS workfile to JMP

  10. Click analyze

  11. Select distribution

  12. Highlight P and Q (the two variables being correlated in this problem)

  13. Finish selection by clicking on columns box

  14. Stack diagrams horizontally

  15. Select normal Go to fit distribution

  16. Right click on fitted normal

  17. Select goodness of fit

  18. Will find same p values found on SAS

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