Analysis of Taguchi Robust Designs

Analyzes balanced Taguchi robust design experiments; Statistica expects the categorical predictor variables to describe a valid balanced design; use the General Linear Models (GLM) facilities to analyze balanced and unbalanced designs of any complexity, and to perform residual analyses.

General

Element Name Description
Problem type Choose the appropriate S/N ratio. The goal of the quality improvement effort is to find the best settings of factors under your control that are involved in the production process, in order to maximize the S/N ratio.
Displays means Displays a spreadsheet with the marginal means, parameter estimates, standard deviations, and standard errors for each level for each factor. These descriptive statistics pertain to the average Eta values (S/N ratios), not to the untransformed variables. The parameter estimates can be interpreted as deviations of the means from the overall mean Eta value (m) for the respective levels of the respective factors.
Means Plot A visual summary of the experiment is the plot of the average Eta (S/N ratio) by factor levels. In this plot, the optimum setting (i.e., largest S/N ratio) for each factor can easily be identified.
Line graph by factor Creates line plots for each factor separately. These plots show the cumulative distributions across categories for each level of the respective factor.
Displays design Displays the results for each run of the experiment in a spreadsheet. The last column will contain the respective Eta values.
Alias structure Displays a spreadsheet showing a matrix of main effects (rows) by two-way interaction effects (columns). If the entries in the matrix are blank, the respective two effects (main effect and interaction effect) are not confounded with each other (they are orthogonal). Asterisks (*) in this matrix mark effects that are not orthogonal.
Descriptives for untransformed Displays a spreadsheet with the means, sums, and standard deviations for the untransformed dependent variables.
Eta, optimum conditions Creates and reports a spreadsheet showing the optimum setting for maximizing Eta.