This example uses the Office Visits.jmp sample data table, which records late and ontime appointments for six clinics in a geographic region. 60 random appointments were selected from 1 week of records for each of the six clinics. To be considered ontime, the patient must be taken to an exam room within five minutes of their scheduled appointment time. Examine the proportion of patients that arrived ontime to their appointment.
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Select Analyze > Fit Y by X.

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Click OK.

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From the red triangle menu next to Contingency Analysis, select Analysis of Means for Proportions.

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From the red triangle menu next to Analysis of Means for Proportions, select Show Summary Report and Switch Response Level for Proportion.

Example of Analysis of Means for Proportions shows the proportion of patients who were ontime from each clinic. From Example of Analysis of Means for Proportions, notice the following:
This example uses the Cheese.jmp sample data table, which is taken from the Newell cheese tasting experiment, reported in McCullagh and Nelder (1989). The experiment records counts more than nine different response levels across four different cheese additives.
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Select Analyze > Fit Y by X.

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The Response values range from one to nine, where one is the least liked, and nine is the best liked.
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Click OK.

From the mosaic plot in Mosaic Plot for the Cheese Data, you notice that the distributions do not appear alike. However, it is challenging to make sense of the mosaic plot across nine levels. A correspondence analysis can help define relationships in this type of situation.
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Example of a Correspondence Analysis Plot shows the correspondence analysis graphically, with the plot axes labeled c1 and c2. Notice the following:
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From the red triangle menu next to Correspondence Analysis, select 3D Correspondence Analysis.

From Example of a 3D Scatterplot, notice the following:
This example uses the Hot Dogs.jmp sample data table. Examine the relationship between hot dog type and taste.
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Select Analyze > Fit Y by X.

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Click OK.

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From the red triangle menu next to Contingency Analysis, select Cochran Mantel Haenszel.

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From Example of a CochranMantelHaenszel Test, you notice the following:
This example uses the Attribute Gauge.jmp sample data table. The data gives results from three people (raters) rating fifty parts three times each. Examine the relationship between raters A and B.
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Select Analyze > Fit Y by X.

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Click OK.

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From the red triangle menu next to Contingency Analysis, select Agreement Statistic.

From Example of the Agreement Statistic Report, you notice that the agreement statistic of 0.86 is high (close to 1) and the pvalue of <.0001 is small. This reinforces the high agreement seen by looking at the diagonal of the contingency table. Agreement between the raters occurs when both raters give a rating of 0 or both give a rating of 1.
This example uses the Car Poll.jmp sample data table. Examine the relative probabilities of being married and single for the participants in the poll.
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Select Analyze > Fit Y by X.

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Click OK.

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If you are interested in only a single response and factor combination, you can select that here. For example, if you clicked OK in the window in The Choose Relative Risk Categories Window, the calculation would be as follows:

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If you would like to calculate the risk ratios for all (=4) combinations of response and factor levels, select the Calculate All Combinations check box. See Example of the Risk Ratio Report.

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Ask for all combinations by selecting the Calculate All Combinations check box. Leave all other default selections as is.

This example uses the Car Poll.jmp sample data table. Examine the probability of being married for males and females.
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Select Analyze > Fit Y by X.

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Click OK.

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From the red triangle menu next to Contingency Analysis, select Two Sample Test for Proportions.

This example uses the Car Poll.jmp sample data table. Examine the probability of being married for males and females.
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Select Analyze > Fit Y by X.

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Click OK.

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From the red triangle menu next to Contingency Analysis, select Measures of Association.

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Select Analyze > Fit Y by X.

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Click OK.

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From the red triangle menu next to Contingency Analysis, select Cochran Armitage Trend Test.
