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Null Hypothesis (Ho)

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Null Hypothesis (Ho) - definitions

Null Hypothesis (Ho) - A null hypothesis (H0) is a stated assumption that there is no difference in parameters (mean, variance, DPMO) for two or more populations. According to the null hypothesis, any observed difference in samples is due to chance or sampling error.

The term that statisticians often use to indicate the statistical hypothesis being tested.

[Category=Data Quality ]

Source: iSixSigma, 07 February 2011 07:47:54, https:web.archive.org/web/20111109014246/http:www.isixsigma.com/index.php?option=com_glossary External


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null hypothesis - [statistics] A statement that essentially outlines an expected outcome when there is no pattern, no relationship, and/or no systematic cause or process at work; any observed differences are the result of random chance alone. The null hypothesis for a spatial pattern is typically that the features are randomly distributed across the study area. Significance tests help determine whether the null hypothesis should be accepted or rejected.

[Category=Geospatial ]

Source: esri, 22 June 2012 10:10:32, http://support.esri.com/en/knowledgebase/GISDictionary/term/abbreviation External


Data Quality Glossary.  A free resource from GRC Data Intelligence. For comments, questions or feedback: dqglossary@grcdi.nl