Probability-Probability Plots
Graphical Analytic Techniques
Ribbon bar. Select the Graphs tab. In the More group, click 2D and from the menu, select Probability-Probability Plots to display the Probability-Probability Plots Startup Panel.
Classic menus. On the Graphs - 2D Graphs submenu, select Probability-Probability Plots to display the Probability-Probability Plots Startup Panel.
The Probability-Probability (or P-P) plot is useful for determining how well a specific theoretical distribution fits the observed data.
In the P-P plot, the observed cumulative distribution function (the proportion of nonmissing values <= x) is plotted against a theoretical cumulative distribution function in order to assess the fit of the theoretical distribution to the observed data. If all points in this plot fall onto a diagonal line (with intercept 0 and slope 1), then you can conclude that the theoretical cumulative distribution approximates the observed distribution well. If the data points do not all fall on the diagonal line, then you can use this plot to visually assess where the data do and do not follow the distribution (e.g., if the points form an S shape along the diagonal line, then the data may need to be transformed in order to bring them to the desired distribution pattern).
In order to create this plot, the theoretical distribution function must be completely specified. Therefore, the parameters for the distribution must either be defined by the user or computed from the data (see the specified distribution for more information on the respective parameters). Note that you can also use the Quantile-Quantile plot to obtain the parameter estimate(s) (for the best fitting distribution from a family of distributions) to be used here.
The Probability-Probability Plots Startup Panel contains six tabs: Quick, Advanced, Appearance, Categorized, Options 1, and Options 2. The following options are available regardless of which tab is selected.
Case Weights. Click the Case Weights button to display the Analysis/Graph Case Weights dialog box, which is used to adjust the contribution of individual cases to the outcome of the current analysis by "weighting" those cases in proportion to the values of a selected variable.
See also, Conceptual Overviews - Probability-Probability Plots.