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.