1.
Select Help > Sample Data Library and open Drug.jmp.
2.
Select Analyze > Fit Model.
3.
Select y and click Y.
4.
Select Drug and x, and then click Add.
5.
Click Run.
6.
The Expanded Estimates report, along with the Parameter Estimates report, is shown in Figure 2.23. Note that an estimate for the term Drug[f] appears in the Expanded Estimates report. The null hypothesis for the test is that the mean for the Drug f group does not differ from the overall mean. The test for Drug[f] is significant at the 0.05 level, suggesting that the mean response for the Drug f group differs from the overall response. See Interpretation of Tests for Expanded Estimates for more details.
Figure 2.23 Comparison of Parameter Estimates and Expanded Estimates
Suppose that your model consists of a single nominal factor that has n levels. That factor is represented by n-1 indicator variables, one for each of n-1 levels. The parameter estimate corresponding to any one of these n-1 indicator variables is the difference between the mean response for that level and the average response across all levels. This representation is due to the way that JMP codes nominal variables (see Details of Custom Test Example). The parameter estimate is often interpreted as the effect of that level.
For example, in the Cholesterol.jmp sample data table, consider the single factor treatment and the response June PM. The parameter estimate associated with the term, or indicator variable, treatment[A] is the difference between the mean of June PM for treatment A and the overall mean of June PM.
The effects across all levels of a nominal variable are constrained to sum to zero. Consider the effect of the last level in the level ordering, namely, the level that is coded with –1s. The effect of this level is the negative of the sum of the effects across the other n-1 levels. It follows that the effect of the last level is the negative of the sum of the parameter estimates across the other n-1 levels.
In the Drug.jmp report shown in Figure 2.23, the estimates for the terms associated with Drug are based on a model that includes the covariate x.
Notes: 
The t test for Drug [f] presented in the Expanded Estimates report tests whether the response for the Drug f group differs from the overall mean response.

Help created on 7/12/2018