This example uses the Companies.jmp data table, which contains financial data for 32 companies from the pharmaceutical and computer industries.
To answer this question, fit Profits ($M) by Type.
1.
Select Help > Sample Data Library and open Companies.jmp.
2.
If you still have the Companies.jmp sample data table open, you might have rows that are excluded or hidden. To return the rows to the default state (all rows included and none hidden), select Rows > Clear Row States.
3.
Select Analyze > Fit Y by X.
4.
Select Profits ($M) and click Y, Response.
5.
Select Type and click X, Factor.
6.
Figure 3.92 Profits by Company Type
2.
Select Rows > Exclude/Unexclude. The data point is no longer included in calculations.
3.
Select Rows > Hide/Unhide. The data point is hidden from all graphs.
4.
To re-create the plot without the outlier, select Redo > Redo Analysis from the red triangle menu for Oneway Analysis. You can close the original Scatterplot window.
Figure 3.93 Updated Plot
Display Options > Mean Lines. This adds mean lines to the scatterplot.
Means and Std Dev. This displays a report that provides averages and standard deviations.
Figure 3.94 Mean Lines and Report
To perform the t-test, select Means/Anova/Pooled t from the red triangle for Oneway Analysis.
Figure 3.95 t Test Results
Use the confidence interval limits to determine how much difference exists in the profits of both types of companies. Look at the Upper CL Dif and Lower CL Dif values in Figure 3.95. The financial analyst concludes that the average profit of pharmaceutical companies is between $343 million and $926 million higher than the average profit of computer companies.

Help created on 10/11/2018