A Primer in Data Reduction
Автор:
Andrew S. C. Ehrenberg, 324 стр., ISBN:
9780471101352
This is an introductory text in statistics for those who are not specialists in the subject. It makes the subject more relevant for students who have to use statistics as part of their other studies. It avoids mathematics without oversimplifying, emphasizing numeracy and relevance. It not only describes traditional statistical methods but deals with their limitations and discusses alternatives. The approach derives from the Author?s earlier successful book on Data Reduction adapted here for classroom use. It covers the basic topics of a statistics course: averages and measures of scatter, frequency distributions and probability, sampling and statistical inference, relationships (including correlation regression, lawlike relationships, and an introduction to multivariate methods), the communication of data, and the design and interpretation of scientific studies. A teachers? guide is available from the publishers. "Data Reduction is a very innovative different kind of basic...
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