calculating convergent validity in sas jmp

Our Y column is BMXBMI and our X column is RIAGENDR 1. Return to the NHANES data table make sure that you’re still excluding and hiding the respondents under 18 years of age.have the same mean BMI, and before choosing a test we’ll compare the variances of the two populations. We’ll test the hypothesis that adult women and men in the U.S. A lean person has lower BMI than an overweight person. BMI is a measure of body fat as a percentage of total weight. Let’s shift back to the NHANES data, and consider the Body Mass Index (BMI) for the adult men and women in the samples. The Fit Y by X platform in JMP includes a command that facilitates the judgment. Both in the t-tests and in techniques we’ll see later, we may need to decide whether two or more groups have equal or unequal variances before we choose a statistical procedure. In our earlier discussion of the t-test we noted that there are two versions of the test, corresponding to the conditions in which the samples share the same variance or have different variances. (please note that results may vary depending on your version of SAS software) The following excerpt is from SAS Press author Robert Carver and his book 'Practical Data Analysis with JMP' Copyright © 2010, SAS Institute Inc., Cary, North Carolina, USA.

To read a free chapter and reviews of the book, visit Robert's author page. If you're using JMP, please read on. This week's tip is from Professor Robert Carver and his popular book Practical Data Analysis with JMP.

Calculating convergent validity in sas jmp