Choose Index below for a list of all words and phrases defined in this glossary.
T-Test - A method to assess whether the means of two groups are statistically different from each other.
[Category=Quality ]
Source: American Society for Quality, 27 October 2010 08:34:13, http://www.asq.org/glossary/
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t Test - The t test employs the statistic (t), with n-1 degrees of freedom, to test a given statistical hypothesis about a population parameter. Usually used with small sample sizes (<30). It is used when population standard deviation is unknown.
[Category=Data Quality ]
T-test - A t-test is a statistical tool used to determine whether a significant difference exists between the means of two distributions or the mean of one distribution and a target value.
[Category=Data Quality ]
Source: iSixSigma, 27 February 2011 10:44:31, https:web.archive.org/web/20111109014246/http:www.isixsigma.com/index.php?option=com_glossary
t-test - used to test means or location effects. For example, used to compare the mean output of Line A vs. the mean output of Line B. [Statistical inference tests to compare the Quality_ of different products / processes and compare the performance of different groups.]
[Category=Quality ]
Source: The Quality Portal, 28 April 2011 08:41:21, http://thequalityportal.com/glossary/s.htm
Data Quality Glossary. A free resource from GRC Data Intelligence. For comments, questions or feedback: dqglossary@grcdi.nl