Analysis of an Experiment with Two-Level Factors - Means Tab
Analyzing the Results of a 2(k-p) Experiment
Select the Means tab in the Analysis of an Experiment with Two-Level Factors dialog box to access the options described here. Note that these results are for the currently specified model. You can specify a new model on the Model tab.
Square plot of predicted means. Click this button to display the Factors for square plot dialog box, in which you select the two lists of factors for the square plot. Click the OK button on this dialog to plot the predicted means for the low and high settings for two factors. When the Show text labels instead of factor levels check box is selected, this plot will contain the text labels of the factor levels. The predicted means are computed based on the current model as specified in the Include in model group box on the Model tab. If there are more factors in the current design (including blocks and curvature check) than what is to be plotted in the square plot (2 factors), Statistica computes the predicted means based on the means for all other factors in the design, including block factors (i.e., the recoded new variables to compute the block effects; see Main Effects and Interactions; if the design has equal N per experimental condition, then the block effects will be ignored because the means for the recoded new variables will be 0). The coefficient for curvature (if requested) will always be ignored.