The manufacturer wants to find the factor settings that produce the cleanest parts (minimize residue). Engineers have identified temperature, time, and concentration of the cleaning solution as the key input variables that affect the cleanliness. This is based on an example from the Minitab Training: DOE in Practice.ġ4 Using Minitab: DOE A steel auger manufacturer cleans its product in the final stages of production just before packaging. Seven factors are considered: oil extraction pressure, oil separation pressure, volume of CO 2, temperature, chip type, chip size, and salt. Use Backward Elimination with alpha = 0.10.ġ3 Using Minitab: DOE Food scientists want to determine the factors that affect the flavor of the chip. In modeling designs, center points are automatically added to test for curvature. DOE has Modeling designs for 2-5 factors, which can optimize the response for the user. The more sections for DOE has been made more prominent and has a wealth of information to help our users.ġ2 Assistant: DOE DOE has screening designs for 6-15 factors. DOE has separate menus for Plan & Create and Analyze & Interpret. Everything works the same except we get an extra comment on the Report Card and we get a new report Prediction and Optimizationġ1 Assistant: DOE DOE is the number 1 requested addition to the Assistant. This is based on an example from the Minitab Training: Minitab Essentials II.ġ0 Assistant: Multiple Regression Suppose we are trying to optimize the response.
For the stepwise procedure, require hierarchy at each step, allowing multiple terms in the model at a time.ĩ Using Minitab: Multiple Regression Investigators for a consumer advocacy organization want to determine the relationship between miles per gallon (mpg) and automobile weight, drive ratio, horsepower, displacement, and number of cylinders. The more section for multiple regression has a wealth of information to help our users.Ĩ Assistant: Multiple Regression All regression models are done using standardized predictors (subtract the mean, divide by the standard deviation) Stepwise with alpha to enter and alpha remove = Either an order 1 model or order 2 model as the candidate set. It can optimize the response for the user.
By default, it will include quadratic and 2-factor interaction terms. Hypothesis Tests Stacked data option added to 2-sample tests Chi-Square Goodness-of-Fit Test increased from 6 to 12 levelsĥ Assistant Capability Analysis Subgroup column field added to allow for unequal subgroup sizes Binomial and Poisson capability offer a Laney P and U control chart check and charts when appropriate Before/After Capability Analysis and Control Charts Compare process before and after change is made Before/After Capability Analysis is now its own menu, and Before/After Control Charts has been addedĦ Assistant Graphical Analysis Dialog improvements including sample images Report Card and Diagnostic Reports that help with interpretation and next steps Scatterplot Matrix now called Scatterplot Screener Rel 17ħ Assistant-Multiple Regression Multiple regression can take up to 5 variables. The Assistant Menu is broken into 9 categories and 4 sections for release 17.Ĥ Assistant Improvements have been made throughout the Assistant based on customer feedback, including changes to the decision trees, dialogs and output. 3 Assistant Menu The Assistant Menu is broken into 6 categories and 3 sections for release 16.