Publisher description for Prescriptions for working statisticians / Albert Madansky.
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The first course in Statistics typically covers inferential procedures which are valid only if a number of preconditions are satisfied by the data. This book, designed for a second course, contains a collection of statistical diagnostics and prescriptions necessary for the applied statistician so that he can deal with the realities of inference from data and not merely with the kind of classroom problems where all the data satisfy the assumptions associated with the technique being taught. The book begins with four chapters on data diagnostics, and then proceeds to discuss prescriptions for using the data, given its diagnosed characteristics. The book concludes with two chapters on techniques for making inferences from specialized data, mixing categorical and measured data, and cross-classified data.
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