Probability plot
In statistics, a probability plot is a graphical technique for comparing two data sets, either two sets of empirical observations, one empirical set against a theoretical set, or (more rarely) two theoretical sets against each other. It commonly means either:
- P-P plot, "Probability-Probability" or "Percent-Percent" plot;
- Q-Q plot, "Quantile-Quantile" plot, which is more commonly used.[1][2]
The term "probability plot" may be used to refer to both of these types of plot,[1] or the term "probability plot" may be used to refer specifically to a P-P plot.[3]
References
- ^ a b Testing for Normality, by Henry C. Thode, CRC Press, 2002, ISBN 978 0 82479613 6, Section 2.2, Methods of Probability Plotting, p. 18
- ^ Nonparametric statistical inference by Jean Dickinson Gibbons, Subhabrata Chakraborti, 4th Edition, CRC Press, 2003, ISBN 978 0 82474052 8, p. 145
- ^ Gibbons p. 144