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Everything about Q–Q plot
Comparison of two distributions
In statistics, a Q–Q plot (quantile–quantile plot) is a probability plot, a graphical method for comparing two probability distributions by plotting their quantiles against each other. A point (x, y) on the plot corresponds to one of the quantiles of the second distribution (y-coordinate) plotted against the same quantile of the first distribution (x-coordinate). This defines a parametric curve where the parameter is the index of the quantile interval. Wikipedia →
🧭 Start here: a 6-step reading path
- Read the overview: Q–Q plotA 5-minute orientation
- Pick up a classic book: Introduction to Probability and StatisticsThe most-reprinted book on the subject
- Read the landmark paper: The Probability Plot Correlation Coefficient Test for NormalityCited 755 times
- Go sideways: QuartileA closely related topic
- Go sideways: Glossary of probability and statisticsA closely related topic
📖 Definitions
No dictionary entry for this exact phrase.
🗂️ The subject at a glance
🏆 Landmark papers (most cited)
The Probability Plot Correlation Coefficient Test for Normality
The Probability Plot Correlation Coefficient Test for the Normal, Lognormal, and Gumbel Distributional Hypotheses
Low‐Flow Frequency Analysis Using Probability‐Plot Correlation Coefficients
Regression equations of probability plot correlation coefficient test statistics from several probability distributions
LMoment and Probability Plot Correlation Coefficient Goodness‐of‐fit Tests for the Gumbel Distribution and Impact of Autocorrelation
Correction to “The probability plot correlation coefficient test for the normal, lognormal, and Gumbel Distributional Hypotheses”
Study on probability plot correlation coefficient of the log-Weibull distribution
Tsunami Hazard Area at Imwon Port Determined by Probability Plot Correlation Coefficient Test
📚 Books worth reading
Introduction to Probability and StatisticsJ. Susan Milton, Jesse C. Arnold · 1990
Introduction to probability and statisticsJ. Susan Milton, Jesse C. Arnold · 2002
Encyclopedia of Measurement and Statistics 3-Volume SetNeil J. Salkind · 2006- 📕Learning statistics with JamoviDanielle J. Navarro, David R. Foxcroft · 2025
Ranked by number of editions on Open Library, a rough measure of how lasting a book is.
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