1.
Select Help > Sample Data Library and open Quality Control/Failure3MultipleField.jmp.
2.
Select Analyze > Consumer Research > Categorical.
3.
Select Failure1, Failure2, and Failure3 and click Multiple Response on the Multiple tab.
4.
Select clean and date and click X, Grouping Category.
5.
Multiple Response Failures from Failure3MultipleField.jmp lists failure types and counts for each failure type from the Multiple Response analysis.
Multiple Response Failures from Failure3MultipleField.jmp
Failure3Freq.jmp Data Table
1.
Select Help > Sample Data Library and open Quality Control/Failure3Freq.jmp.
2.
Select Analyze > Consumer Research > Categorical.
3.
Select the frequency variables (contamination, corrosion, doping, metallization, miscellaneous, oxide defect, silicon defect) and click Response Frequencies on the Multiple tab.
4.
Select clean and date and click X, Grouping Category.
5.
Select Sample Size and click Sample Size.
6.
The resulting output in Defect Rate Output shows a frequency count table, with a separate column for each of the seven batches. The last two columns show the total number of defects (Total Responses) and cases (Total Cases).
Defect Rate Output
Failure3Indicators.jmp Data Table
1.
Select Help > Sample Data Library and open Quality Control/Failures3Indicators.jmp.
2.
Select Analyze > Consumer Research > Categorical.
3.
Select the defect columns (contamination, corrosion, doping, metallization, miscellaneous, oxide defect, silicon defect) and click Indicator Group on the Multiple tab.
4.
Select clean and date and click X, Grouping Category.
5.
When you click OK, you get the same output as in the Response Group example (Defect Rate Output).
Suppose that an inspector entered the observed defects for each unit. The defects are listed in a single column, delimited by a comma, as in Failures3Delimited.jmp. Note in the partial data table, shown below, that some units did not have any observed defects, so the failureS column is empty.
Failure3Delimited.jmp Data Table
1.
Select Help > Sample Data Library and open Quality Control/ Failures3Delimited.jmp.
2.
Select Analyze > Consumer Research > Categorical.
3.
Select failureS and click Multiple Delimited on the Multiple tab.
4.
Select clean and date and click X, Grouping Category.
5.
Select ID and click ID.
6.
When you click OK, you get the same output as in Defect Rate Output.
Failure3ID.jmp Data Table
1.
Select Help > Sample Data Library and open Quality Control/ Failure3ID.jmp.
2.
Select Analyze > Consumer Research > Categorical.
3.
Select failure and click Multiple Response by ID on the Multiple tab.
4.
Select clean and date and click X, Grouping Category.
5.
Select SampleSize and click Sample Size.
6.
Select N and click Freq.
7.
Select ID and click ID.
8.
When you click OK, you get the same output as in Defect Rate Output.
You can calculate response means in your data using Value Scores. To make the Mean Score interpretable, you can assign specific value scores in the Column Info window with the Value Scores column property. For more information about column properties, refer to Using JMP.
Column Properties - Value Scores
3.
Select Analyze > Consumer Research > Categorical.
4.
Select Rating and click Responses on the Simple tab.
5.
6.
Select Mean Score from the Categorical red triangle menu.
Rating Example Report