Basic Analysis and Graphing - SAS

206 Performing Contingency Analysis Chapter 6
Additional Examples of the Contingency Platform
Figure 6.14 Correspondence Analysis for E-mail Data
From the Details report in Figure 6.14, you notice the following:
• The Portion column shows that the bulk of the variation (56% + 42%) of the mail sending pattern is
summarized by c1 and c2, for the To and From groups.
• The Correspondence Analysis plot of c1 and c2 shows the pattern of mail distribution among the mail
group, as follows:
– Katherine and Ann have similar sending and receiving patterns; they both send e-mails to Michael
and John and receive e-mails from Michael, John, and Jeff.
– Jeff and Michael lie in a single dimension, but have opposite sending and receiving patterns. Jeff
sends e-mails to everyone and receives e-mails only from Michael. Michael sends e-mail to everyone
and receives e-mail from everyone.
– John’s patterns differ from the others. He sends e-mail to Ann, Katherine, and Michael, and receives
e-mail from everyone.
Example of a Cochran Mantel Haenszel Test
This example uses the Hot Dogs.jmp sample data table. Examine the relationship between hot dog type and
taste.
1. Open the Hot Dogs.jmp sample data table.
2. Select Analyze > Fit Y by X.
3. Select Type and click Y, Response.
4. Select Taste and click X, Factor.
5. Click OK.