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The ubiquitous angle
Authors:Graham R. Wood   David J. Saville
Affiliation:Macquarie University, Sydney, Australia;, AgResearch, Lincoln, New Zealand
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'.
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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