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Normal Probability Plot


A normal probability plot is a quantile-quantile plot that compares ordered observations with corresponding quantiles of a normal distribution. If x_((1))<=...<=x_((n)) are the order statistics, typical plotting points pair x_((i)) with

 z_i=Phi^(-1)[(i-a)/(n+1-2a)],

where Phi^(-1) is the standard normal quantile function and the constant a specifies a plotting-position convention.

Data from a normal distribution should lie approximately on a line. Curvature, tail departures, and isolated points can indicate skewness, heavy or light tails, or outliers, but the visual judgment depends on sample size and should not be treated as a proof of normality.


See also

Normal Distribution, Order Statistic, Quantile-Quantile Plot

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References

Chambers, J. M.; Cleveland, W. S.; Kleiner, B.; and Tukey, P. A. Graphical Methods for Data Analysis. Belmont, CA: Wadsworth, 1983.

Cite this as:

Weisstein, Eric W. "Normal Probability Plot." From MathWorld--A Wolfram Resource. https://mathworld.wolfram.com/NormalProbabilityPlot.html

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