With a JMP Data Table open, enter the categories in Column 1 and the actual (observed) frequencies in Column 2. Note: The second row (labeled “Pearson”) under Test in the output corresponds to the methods used in the texts. From the Select Columns box click on the variable for Frequency (in Column 3) and click Freq. Then, click on the variable in Column 2 in the Select Columns box and then click X, Factor. Enter the appropriate frequencies for each contingency table cell in Column 3.Ĭhoose Analyze from the top row of the JMP spreadsheet, select Fit Y by X.įrom the Select Columns box click on the variable in Column 1 and then and click Y, Response. With a JMP Data Table open, enter the categories appearing in the rows of the contingency table into Column 1 and the categories appearing in the columns of the contingency table into Column 2, repeating categories to include all intersections of rows and columns from the contingency table. Select Run.Ĭhi-Square Distribution Test for Association Highlight the names of your data in Column 2 and Column 3 at the same time in the Select Columns box. Label the columns as fitting.Ĭlick on the name of your data in Column 1 in the Select Columns box and click Y. Repeat this step to add a third column.Įnter the row names into Column 2 and the column numbers into Column 3. In the New Column window that opens, click the dropdown beside Modeling Type. Note: You can adjust the α level by clicking the red triangle next to Oneway Analysis of… and then select Set α Level. Click OK.įrom the Oneway Analysis output, click on the red triangle next to Oneway Analysis of…, then click on Compare Means and select All Pairs, Tukey HSD. Click on your response and then click on Y, Response. Select Analyze in the top row of the JMP spreadsheet and then select Fit Y by X.įrom the Select Columns box, click on your treatments, then click on X, Factor. In the window that opens, click on the Red Triangle and select Means/Anova.Įnter the data for the treatments in one column of an open JMP data table and a column for the response variable in another column and label the columns accordingly. Click on the name of your data in Column 2 in the Select Columns box and click X, Factor. Label the columns as fitting.Ĭlick on the name of your data in Column 1 in the Select Columns box and click Y, Response. Select OK.Įnter the groups into Column 2 for each data value. Enter all of the data into Column 1, one column at a time.
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