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A Concise Guide to StatisticsHypothesis Testing

A Concise Guide to Statistics: Hypothesis Testing [Testing provides the formal framework to reject or not reject a hypothesis on parameters, depending on whether it is supported by given data. Test levels and p-values allow to quantify the chances of false rejections due to the randomness of the data. Correct interpretation of test results is discussed in more detail and methods to adjust the probability of false rejections for multiple testing are presented.] http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png

A Concise Guide to StatisticsHypothesis Testing

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Publisher
Springer Berlin Heidelberg
Copyright
© Hans-Michael Kaltenbach 2012
ISBN
978-3-642-23501-6
Pages
53 –75
DOI
10.1007/978-3-642-23502-3_3
Publisher site
See Chapter on Publisher Site

Abstract

[Testing provides the formal framework to reject or not reject a hypothesis on parameters, depending on whether it is supported by given data. Test levels and p-values allow to quantify the chances of false rejections due to the randomness of the data. Correct interpretation of test results is discussed in more detail and methods to adjust the probability of false rejections for multiple testing are presented.]

Published: Sep 17, 2011

Keywords: Hypotheses; p-value; Multiple testing; FDR

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