They are primarily used in the normal probability plot, a graphical technique for normality testing.

The normal probability plot is a graphical technique for normality testing: assessing whether or not a data set is approximately normally distributed.

The normal probability plot is formed by:

That is, a probability plot can easily be generated for any distribution for which one has the quantile function.

This is a sample of size 50 from a uniform distribution, plotted as both a histogram, and a normal probability plot.

The normal probability plot is a special case of the probability plot.

A normal probability plot of the 12 subplot term estimates could be used to look for statistically significant terms.

Other useful exploratory analysis tools for factorial experiments include main effects plots, interaction plots, and a normal probability plot of the estimated effects.

Does the best-fit member provide a good fit (in terms of generating a probability plot with a high correlation coefficient)?

A normal probability plot may also be useful.