The Reactor Half Fraction.jmp sample data table contains the results of an experiment derived from a design discussed in Box et al. (1978). You are interested in identifying significant effects in a model that contains main effects and two-way interactions. This example uses a model with fifteen parameters for a design with sixteen runs. The example illustrates the analysis both with the Fit Two Level Screening Platform and the Fit Model Platform.
1.
Select Help > Sample Data Library and open Reactor Half Fraction.jmp.
2.
Select Analyze > Specialized Modeling > Specialized DOE Models > Fit Two Level Screening.
3.
Select Percent Reacted and click Y.
4.
Select Feed Rate through Concentration, click X, and then click OK.
Figure 9.2 Reactor Half Fraction.jmp Fit Two Level Screening Design Report
The effects that have an individual p-value less than 0.10 are selected.
A t-ratio is calculated using Lenth’s PSE (pseudo-standard error). The Lenth PSE value is shown below the Half Normal Plot.
Both individual and simultaneous p-values are shown. Those that are less than 0.05 are shown with an asterisk.
In this example, Catalyst, Temperature, and Concentration, along with two of their two-factor interactions, are selected. Alternatively, you can fit the same model in the Fit Model Platform.
1.
From the Reactor Half Fraction.jmp table, select Analyze > Fit Model.
2.
Select Percent Reacted, click Y.
3.
Select Feed Rate through Concentration, and then select Macros > Factorial to Degree.
4.
Figure 9.3 Saturated Reactor Half Fraction.jmp Design Parameter Estimates

Help created on 10/11/2018