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As the number of tests has increased, so has the pressing need for a single source of reference. Bringing together the hundred most commonly used tests, this volume provides just such an indispensable aid for student and statistician alike. An introduction discusses the principles of hypothesis-testing. Examples of the procedure for selected tests follow, illustrating statistical method in practice. The purpose of each test is summarized and a classification...
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Description
Summarizing data -- Random variables and probability distributions -- Some useful distributions -- Estimation and hypothesis testing -- Regression -- The design of experiments and the analysis of variance -- Reliability and survival analysis -- Order statistics -- Stochastic processes -- Time series -- Categorical data -- Epidemiology -- Quality control and acceptance sampling -- Multivariate analysis -- Survey sampling.
8) Statistical power analysis: a simple and general model for traditional and modern hypothesis tests
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"Ideal for students and researchers of statistical and research methodology in the social, behavioral, and health sciences who want to know how to apply methods of power analysis to their research."--BOOK JACKET.
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An English translation now joins the Russian and Spanish versions. It is based on the newly revised fifth edition of the German version of the book. The original edition has become very popular as a learning and reference source with easy to follow recipes and cross references for scientists in fields such as engineering, chemistry and the life sciences. Little mathematical background is required of the reader and some important topics, like the logarithm,...
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Description
"In an increasingly data-centric world, we all need to know how to read and interpret statistics. But where do we begin? This book breaks statistical terms and concepts down in a clear, straightforward way. From understanding what data are telling you to exploring the value of good storytelling with numbers, it equips you with the information and skills you need to become statistically literate. It also: Dispels misconceptions about the nature of...
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A guide to choosing and using the right techniques High-speed computers and prepackaged statistical routines would seem to take much of the guesswork out of statistical analysis and lend its applications readily accessible to all. Yet, as Phillip Good and James Hardin persuasively argue, statistical software no more makes one a statistician than a scalpel makes one a surgeon. Choosing the proper technique and understanding the analytical context is...
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