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Issue 40, 2017
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Are my data normal?

Abstract

Many inferences from statistical methods use the assumption that experimental data form a random sample (using that word in the statistical, not the chemical or physical, sense) from a population with a normal (Gaussian) distribution of measurement errors or other variations. In most cases this assumption is not actually tested, so if it is not valid false deductions may be made from the data. This Technical Brief considers cases where the normal distribution is generally taken to be valid, discusses how likely that is to be true, and how it is possible to test whether a data sample might come from a normally distributed population.

Graphical abstract: Are my data normal?

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Publication details

The article was received on 01 Sep 2017 and first published on 11 Oct 2017


Article type: AMC Technical Brief
DOI: 10.1039/C7AY90126G
Citation: Anal. Methods, 2017,9, 5847-5850
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    Are my data normal?

    Analytical Methods Committee AMCTB No. 82, Anal. Methods, 2017, 9, 5847
    DOI: 10.1039/C7AY90126G

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