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Regression, ANOVA, and the general linear model: a statistics primer

By: Vik, Peter.
Material type: materialTypeLabelBookPublisher: Los Angeles Sage 2014Description: 319 p.ISBN: 9781412997355.Subject(s): Analysis of variance | Regression analysis | Linear models (Statistics)DDC classification: 519.5 Summary: The goal of this book is to demonstrate basic statistical concepts from two different perspectives, giving the reader a conceptual understanding of how to interpret statistics and their use. Those two perspectives are a focus on the traditional tests that are used such as t-test, correlation and ANOVA, and a model-comparison approach using General Linear Methods. This text is intended for upper-level undergraduate courses, or first year graduate students. It is not for courses where students have no basic understanding of statistics.
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The goal of this book is to demonstrate basic statistical concepts from two different perspectives, giving the reader a conceptual understanding of how to interpret statistics and their use. Those two perspectives are a focus on the traditional tests that are used such as t-test, correlation and ANOVA, and a model-comparison approach using General Linear Methods. This text is intended for upper-level undergraduate courses, or first year graduate students. It is not for courses where students have no basic understanding of statistics.

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