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πŸ“

Elements of Statistics for the Life and Social Sciences

✍ Scribed by Braxton M. Alfred (auth.)


Publisher
Springer-Verlag New York
Year
1987
Tongue
English
Leaves
202
Series
Springer Texts in Statistics
Edition
1
Category
Library

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✦ Synopsis


This book was written to myself at about the time I began graduate studies in anthropology-the sort of thing a Samuel Beckett character might do. It is about the conduct of research. In a very real sense the purpose is partially to compensate for the inadequacies of my professors. Perhaps this is what education is about. The effort has not been an unqualified success, but it has been extremely gratifying. I was trained in anthropology. After completing the Ph. D. I went to Stanford on a post-doctoral fellowship. At the time, this was a novelty and the departΒ­ ment was not prepared for such a thing. To stay occupied I began attending lectures, seminars, and discussion groups in mathematics and statistics. This was about the luckiest choice I ever made. The excitement was easily as intense as that which I experienced upon encountering anthropology. On one ocΒ­ casion I innocently and independently proved a theorem that had first been done 2000 years earlier. It is currently used as an exercise in high school mathematics so it is neither difficult nor arcane. Learning all this did not tarnish my sense of discovery. (On reflection I am puzzled by my failure to have seen all this "beauty" when I was exposed to it as an undergraduate. The unparalleled excellence of the Stanford program was undoubtedly responsible for my belated conversion.

✦ Table of Contents


Front Matter....Pages i-xiii
Introduction....Pages 1-4
Some Elementary Principles of Deductive Argument....Pages 5-16
The Logic of Scientific Argument....Pages 17-38
Generating Predictions....Pages 39-107
Topics in Hypothesis Testing....Pages 108-165
Summary and Conclusions....Pages 166-167
Back Matter....Pages 168-190

✦ Subjects


Statistics, general


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Statistics for the Social and Behavioral
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This textbook provides a first course in data analysis for students majoring in the social and behavioral sciences. The book is intended to be comprehensible to students who are not planning to go on to postgraduate study. Even the active researcher may find the book a useful resource.