Probability Graph Paper
A vertical scale stretched so the cumulative normal distribution is a straight line, making non-normal data visible by eye.
A vertical scale stretched so the cumulative normal distribution is a straight line, making non-normal data visible by eye.
Choose Probability Graph Paper from the list. It opens with the usual size already set.
Pick the paper size, the grid and the orientation. Customize holds colours, margins and more.
Download the ready PDF, or print straight from the page at 100% scale.
The vertical axis is spaced by the inverse normal — the probit — so the S-shaped cumulative normal curve is pulled straight. Plot cumulative percentages of a normal sample and the points fall on a line.
What makes it useful is how the failures look. Points curving upward at both ends mean heavy tails; a bend in the middle means skew; a distinct kink often means two populations mixed together. A formal test gives you a p-value; this gives you a picture of what is wrong.
Once the points are on a line, the distribution's parameters are just positions on it.
Every sheet here is free, adjustable and prints at exact scale.
Read the values at the 16% and 84% lines. Those are one standard deviation either side of the mean, so half the distance between them is the standard deviation.
That the data is not normal. Curving up at both ends means heavier tails than normal; a systematic bend one way means skew; a step or kink often means two populations mixed together.
The idea is the same. A Q-Q plot puts the normal quantiles on the axis directly; probability paper labels the axis in percentages instead, which is easier to plot by hand.