The ubiquitous angle |
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Authors: | Graham R. Wood David J. Saville |
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Affiliation: | Macquarie University, Sydney, Australia;, AgResearch, Lincoln, New Zealand |
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Abstract: | Summary. Previously we used the geometry of n -dimensional space to derive the paired samples t -test and its p -value. In the present paper we describe the 'ubiquitous' application of these results to single degree of freedom linear model hypothesis tests. As examples, we derive the p - and t -values for the independent samples t -test, for testing a contrast in an analysis of variance and for testing the slope in a simple linear regression analysis. An angle θ in n -dimensional space is again pivotal in the development of the ideas. The relationships between p , t , θ , F and the correlation coefficient are also described by using a 'statistical triangle'. |
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Keywords: | Analysis-of-variance contrasts Correlation coefficient F-test Independent samples t-test Linear algebra Linear models p-value Regression t-test Vector geometry |
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