Library / Testing for Normality


R. C. Geary “Testing for normality” (1947) // Biometrika. Publisher: Oxford University Press (OUP). Vol. 34. No 3–4. Pp. 209–242. DOI: 10.1093/biomet/34.3-4.209


  title = {Testing for normality},
  volume = {34},
  issn = {1464-3510},
  doi = {10.1093/biomet/34.3-4.209},
  number = {3–4},
  journal = {Biometrika},
  publisher = {Oxford University Press (OUP)},
  author = {Geary, R. C.},
  year = {1947},
  pages = {209–242}

Quotes (2)

Correction for Universal non-normality

It may be asked if testing for normality and, when necessary, correction for universal non-normality is worth the trouble. To answer this question it is desirable to have regard to the logical position of the statistician, concerned with drawing inferences from samples whose characteristic approach may be defined as reductio ad paene absurdum: if an event is highly improbable it must be regarded for practical purposes as impossible.

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Normality is a Myth

Normality is a myth; there never was, and never will be, a normal distribution.

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