Elements of Statistics for the Life and Social Sciences

by Braxton M. Alfred

Overview

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 depart­ 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 oc­ 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.

Product Details

ISBN-13:	9781461291381
Publisher:	Springer New York
Publication date:	12/12/2011
Series:	Springer Texts in Statistics
Edition description:	Softcover reprint of the original 1st ed. 1987
Pages:	190
Product dimensions:	6.10(w) x 9.25(h) x 0.02(d)

Table of Contents

1 Introduction.- 2 Some Elementary Principles of Deductive Argument.- 2.1 Common Connectives for Statements.- 2.2 Argument.- 3 The Logic of Scientific Argument.- 3.1 The Program of Science.- 3.2 Elements of a Good Test.- 3.3 Examples.- 3.4 Causation, Mill’s Methods.- 3.5 Description, Pre-Science, Science.- 3.6 Summary.- 4 Generating Predictions.- 4.1 Introduction and Orientation.- 4.2 Background.- 4.3 Processes.- 5 Topics in Hypothesis Testing.- 5.1 Introduction.- 5.2 Testing a One-Dimensional Hypothesis.- 5.3 Testing a Two-Dimensional Hypothesis.- 5.4 Tests of Hypotheses in Three or More Dimensions.- 5.5 Special Topics.- 6 Summary and Conclusions.- Appendix A Matrix Manipulation.- Appendix B Conversion of the Base of Logarithms.- Appendix C Bayes’ Theorem.- Appendix D Table of Chi-Square Distribution, 5% Points.- Appendix E The Choice of Computing Software for Log Linear Models.- References.