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**A-Square** - A-squared is the test statistic for the Anderson-Darling Normality test. It is a measure of how closely a dataset follows the normal distribution. The null hypothesis for this test is that the data is normal. So if you get an A-squared that is fairly large, then you will get a small p-value and thus reject the null hypothesis. Small A-squared values imply large p-values, thus you cannot reject the null hypothesis.

[Category=Data Quality ]

*Source: iSixSigma, 29 December 2010 09:02:28, http://www.isixsigma.com/index.php?option=com_glossary *

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