Basic Analysis and Graphing - SAS

Chapter 6 Performing Contingency Analysis 211
Additional Examples of the Contingency Platform
In this example, you are comparing the probability of being married between females and males. See the
Row% in the Contingency Table to obtain the following:
P(Married|Female)=0.6884
P(Married|Male) = 0.6121
The difference between these two numbers, 0.0763, is the Proportion Difference shown in the report. The
two-sided p-value (0.1686) is large, indicating that there is no significant difference between the
proportions.
Example of the Measures of Association Option
This example uses the Car Poll.jmp sample data table. Examine the probability of being married for males
and females.
1. Open the Car Poll.jmp sample data table.
2. Select Analyze > Fit Y by X.
3. Select marital status and click Y, Response.
4. Select sex and click X, Factor.
5. Click OK.
6. From the red triangle menu next to Contingency Analysis, select Measures of Association.
Figure 6.20 Example of the Measures of Association Report
Since the variables that you want to examine (sex and marital status) are nominal, use the Lambda and
Uncertainty measures. The confidence intervals include zero, so you conclude that there is no association
between sex and marital status.
Example of the Cochran Armitage Trend Test
1. Open the Car Poll.jmp sample data table.