A normal probability plot is extremely useful for testing normality assumptions. It’s more precise than a histogram, which can’t pick up subtle deviations, and doesn’t suffer from too much or too little power, as do tests of normality.
There are two versions of normal probability plots: Q-Q and P-P. I’ll start with the Q-Q. (more…)