Predictive and Specialized Modeling > Response Screening > Additional Examples of Response Screening > Example of Tests of Practical Significance and Equivalence
Publication date: 04/12/2021

Example of Tests of Practical Significance and Equivalence

This example tests for practical differences using the sample data table.

1. Select Help > Sample Data Library and open

2. Select Analyze > Screening > Response Screening.

The Response Screening Launch window appears.

3. Select the Responses column group and click Y, Response.

4. Select Process and click X.

5. Type 0.15 in the Practical Difference Portion box.

6. Click OK.

7. Click the Response Screening red triangle and select Save Compare Means.

Figure 22.10 shows a portion of the data table. For each response in Y, the corresponding row gives information about tests of the New and the Old levels of Process.

Figure 22.10 Compare Means Table, Partial View 

Compare Means Table, Partial View

Because specification limits are not saved as column properties in, JMP calculates a value of the practical difference for each response. The practical difference of 0.15 that you specified is multiplied by an estimate of the 6σ range of the response. This value is used in testing for practical difference and equivalence. It is shown in the Practical Difference column.

The Plain Difference column shows responses whose p-values indicate significance. The Practical Diff PValue and Practical Equiv PValue columns give the p-values for tests of practical difference and practical equivalence. Note that many columns show statistically significant differences, but do not show practically significant differences.

8. Display the Compare Means data table and select Analyze > Distribution.

9. Select Practical Result and click Y, Columns.

10. Click OK.

Figure 22.11 shows the distribution of results for practical significance. Only 37 tests are different, as determined by testing for the specified practical difference. For 5 of the responses, the tests were inconclusive. You cannot tell whether the responses result in a practical difference across Process.

Figure 22.11 Distribution of Practical Significance Results 

Distribution of Practical Significance Results

The 37 responses can be selected for further study by clicking on the corresponding bar in the plot.

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