Use a standard computer program to generate 5 samples of normally distributed variables with 20 observations per variable. (For SPSS the syntax for the first sample would be COMPUTE norm1 5...

Use a standard computer program to generate 5 samples of normally distributed variables with 20 observations per variable. (For SPSS the syntax for the first sample would be COMPUTE norm1 5 RV.NORMAL(0,1).)

a. Then create a Q-Q plot for each variable and notice the differences from one plot to the next. That will give you some idea of how closely even normally distributed data will conform to the 45 degree line. How would you characterize the differences?

b. Repeat this exercise using n 5 50. 3.21 In Chapter 2, I plotted three histograms corresponding to three different dependent variables in Everitt’s example of therapy for anorexia. Those data are available at www.uvm.edu/~dhowell/methods7/datafildat. (The variable names are in the first line of the file.) Prepare Q-Q plots for corresponding to each of the plots. Do the conclusions you would draw from that figure agree with the conclusions that you would draw from the Q-Q plots? (Note: None of these three distributions would fail the Kolmogorov-Smirnov test for normality, though no test of normality is very good with small sample sizes.)