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Basic Analysis and Graphing - SAS

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202 Performing Contingency <strong>Analysis</strong> Chapter 6<br />

Additional Examples of the Contingency Platform<br />

Figure 6.9 Example of <strong>Analysis</strong> of Means for Proportions<br />

Figure 6.9 shows the proportion of patients who were on-time from each clinic. From Figure 6.9, notice the<br />

following:<br />

• The proportion of on-time arrivals is the highest for clinic F, followed by clinic B.<br />

• Clinic D has the lowest proportion of on-time arrivals, followed by clinic A.<br />

• Clinic E <strong>and</strong> clinic C are close to the average, <strong>and</strong> do not exceed the decision limits.<br />

Example of Correspondence <strong>Analysis</strong><br />

This example uses the Cheese.jmp sample data table, which is taken from the Newell cheese tasting<br />

experiment, reported in McCullagh <strong>and</strong> Nelder (1989). The experiment records counts more than nine<br />

different response levels across four different cheese additives.<br />

1. Open the Cheese.jmp sample data table.<br />

2. Select Analyze > Fit Y by X.<br />

3. Select Response <strong>and</strong> click Y, Response.<br />

The Response values range from one to nine, where one is the least liked, <strong>and</strong> nine is the best liked.<br />

4. Select Cheese <strong>and</strong> click X, Factor.<br />

A, B, C, <strong>and</strong> D represent four different cheese additives.<br />

5. Select Count <strong>and</strong> click Freq.<br />

6. Click OK.

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