2D Probability-Probability Plots

You can visually check for the fit of a theoretical distribution to the observed data by examining the probability-probability plot. In probability-probability plots (or P-P plots for short) the observed cumulative distribution function is plotted against the theoretical cumulative distribution function. As in the Quantile-Quantile plot, the values of the respective variable are first sorted into ascending order. The ith observation is plotted against one axis as i/n (i.e., the observed cumulative distribution function), and against the other axis as F(x(i)), where F(x(i)) stands for the value of the theoretical cumulative distribution function for the respective observation x(i). If the theoretical cumulative distribution approximates the observed distribution well, then all points in this plot should fall onto the diagonal line.

You can choose a variety of distributions to use in creating the P-P plot. For a list of the theoretical distributions available, see Probability-Probability Plots - Advanced Tab.

See also, Graphs - Probability-Probability Plots and the Conceptual Overview for Probability-Probability Plots.