Categorized Normal Probability Plots - Advanced Tab

Graphical Analytic Techniques

Select the Advanced tab of the Categorized Normal Probability Plots Startup Panel to specify a variety of categorization methods to use when creating the plots as well as to include statistics in the footnote of the plot.

Layout. Choose either a Separate plot layout (where each subset of cases is displayed in a separate small graph) or an Overlaid plot layout (where all subsets are overlaid in one graph and identified only by patterns and colors) for the categorized plots.

Variables. Click the Variables button to display a standard variable selection dialog box, in which you can select the X and (optional) Y grouping variables and the variable(s) to be displayed in the probability plots. If more than one dependent variable is selected, a sequence of graphs (one for each dependent variable) will be produced using the same set of grouping variables. The selections made will be displayed below the Variables button.

Note that the selected grouping variables do not have to be categorical variables (e.g., contain codes); you can use one of the methods of categorization to categorize continuous variables. The selection of grouping variables is not necessary if the categories are defined via the Multiple subsets method.

Graph type. Select the type of probability plot to be plotted from the Graph type list. Click a plot link below for a brief description of that type of graph.

Statistics.

Shapiro-Wilk test. Select this check box to include the Shapiro-Wilk's W statistic for normality and its associated p-value in the footnote of the plot.

X-Categories / Y-Categories. Categorization is used in two classes of graphs in Statistica categorized graphs (e.g., Categorized Scatterplots) and graphs that include grouping or categorized variables (e.g., 2D Histograms, or 2D Box Plots).

Select Integer mode, Unique values, or Categories to specify that method of categorization for each of the variables selected via the Change Variable button, or use the Boundaries, Codes, or Multiple subsets options. For more information about each of these methods of categorization, click on the links below:

Integer mode