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Everything about Normal probability plot
Graphical technique in statistics
The normal probability plot is a graphical technique to identify substantive departures from normality. This includes identifying outliers, skewness, kurtosis, a need for transformations, and mixtures. Normal probability plots are made of raw data, residuals from model fits, and estimated parameters. Wikipedia →
🧠Start here: a 6-step reading path
- Read the overview: Normal probability plotA 5-minute orientation
- Skim a recent paper: Impact of Vertical Scaling on Normal Probability Density Function PlotsInfluential work since 2022
- Pick up a classic book: American FilmThe most-reprinted book on the subject
- Read the landmark paper: The Probability Plot Correlation Coefficient Test for NormalityCited 755 times
- Go sideways: Q–Q plotA closely related topic
- Go sideways: Normality testA closely related topic
đź“– 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
Rutile: Normal Probability Plot Analysis and Accurate Measurement of Crystal Structure
Normal probability plot analysis of error in measured and derived quantities and standard deviations
The Probability Plot Correlation Coefficient Test for the Normal, Lognormal, and Gumbel Distributional Hypotheses
Luminescent Piezoelectric CdSiP2: Normal Probability Plot Analysis, Crystal Structure, and Generalized Structure of the AIIBIVC2V Family
Application of normal probability plot analysis to lutetium orthoborate factors and parameters
The Normal Probability Plot as a Tool for Understanding Data: A Shape Analysis from the Perspective of Skewness, Kurtosis, and Variability
Normal probability plot analysis of small samples
🆕 Influential since 2022
đź“š Books worth reading
American FilmAmerican Film Institute · 1975
Elementary StatisticsRon Larson · 1999
Introduction to Probability and StatisticsJ. Susan Milton, Jesse C. Arnold · 1990
The Conspirators HierarchyJohn Coleman · 1992
The history of Detroit and MichiganSilas Farmer · 1884
Engineering Modelling and AnalysisDavid Walker, Michael Leonard · 2009
All about six sigmaWarren Brussee · 2005
Introduction to probability and statisticsJ. Susan Milton, Jesse C. Arnold · 2002
Ranked by number of editions on Open Library, a rough measure of how lasting a book is.
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