Probability plotting methods for the analysis for the analysis of data

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Abstract
This paper describes and discusses graphical techniques, based on the primitive empirical cumulative distribution function and on quantile (Q-Q) plots, percent (p-p) plots and hybrids of these, which are useful in assessing a one-diamensional sample, either from original data or resulting from analysis. Areas of application include: the comparison of samples; the comparison of distributions; the presentation of results on sensitivities of statistical methods; the analysis of collections of contrasts and of collections of sample variances; the assessment of multivariate contrasts; and the structuring of analysis of variances; mean squares. Many of the objectives and techniques are illustrated by examples.

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