Synopsis
A clear, readable survey of the most commonly used techniques of statistical analysis. Explains how to carry out each procedure, shows how to interpret the results, and offers intuitive understanding of why the procedure works. No previous statistical background is assumed. All the techniques are explained in the context of research problems and then summarized in a general way. Learning aids include numerous exercises, many with answers, and 18 statistical tables.
From the Inside Flap
Praise for the first edition... "Overall, I found this book to be carefully thought-out and attractive. I believe it will satisfy the objective that the authors have set; namely, to give beginning graduate students a good idea of the necessity for statistics in their research. It provides many of the tools they will need." —Journal of Quality Technology "This book meets its stated goals and is readable. I find the use of examples to teach the material to be successful in maintaining the interest level of the reader and would recommend use of the text at the introductory level." —American Scientist Statistics for Research, Second Edition presents the most commonly used statistical techniques in a clear, readable way which can be understood by someone with no previous statistical experience. This survey is written from the viewpoint of the researcher who wants to know how to carry out a procedure, how to interpret the results (whether the analysis is performed by hand or a statistical computer package), and who wants some intuitive understanding of why the procedure works. All procedures are explained in the context of realistic research situations and then summarized in general terms. The usefulness of statistics is illustrated throughout, beginning in the first chapter with inference. Probability and descriptive statistics are developed in the book as needed and do not appear as separate chapters as in most books. Interpretation of the computer output of statistical analyses and nonparametric procedures are integrated with the discussion of each statistical procedure. After a statistical procedure is explained and demonstrated, wherever it is practical to do so, the procedure is followed by demonstrations of how the SAS System is used for computer analysis of the same data. Similarly, each statistical process is followed by a nonparametrical analog to the procedure which has been under discussion. This revised edition has been expanded and contains numerous exercises after each section, over 90 figures, program statements and computer output for the SAS System, bibliographies at the end of chapters, summaries of procedures, review exercises, answers to selected exercises and all review exercises, and 19 statistical tables.
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