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Library,Documentation and Information Science Division

“A research journal serves that narrow

borderland which separates the known from the unknown”

-P.C.Mahalanobis


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Statistical research methods : a guide for non-statisticians / Roy Sabo and Edward Boone.

By: Contributor(s): Material type: TextTextPublication details: New York : Springer, 2013.Description: ix, 214 p. : illustrations (some color) ; 24 cmISBN:
  • 9781461487074 (alk. paper)
Subject(s): DDC classification:
  • 000SA.01 23 Sa117
Contents:
1. Introduction.- 2. One-Sample Proportions.- 3. Two-Sample Proportions.- 4. Multi-Category Data.- 5. Summarizing Continuous Data.- 6. One-Sample Means.- 7. Two-Sample Means.- 8. Analysis of Variance.- 9. Power.- 10. Association and Regression.- Bibliography.
Summary: This book will help graduate students in non-statistics disciplines, advanced undergraduate researchers, and research faculty in the health sciences to learn, use and communicate results from many commonly used statistical methods. The material covered, and the manner in which it is presented, describe the entire data analysis process from hypothesis generation to writing the results in a manuscript. Chapters cover, among other topics: one and two-sample proportions, multi-category data, one and two-sample means, analysis of variance, and regression. Throughout the text, the authors explain statistical procedures and concepts using a non-statistical language. This accessible approach is complete with real-world examples and sample write-ups for the Methods and Results sections of scholarly papers.
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Includes bibliographical references (pages 211-214).

1. Introduction.-
2. One-Sample Proportions.-
3. Two-Sample Proportions.-
4. Multi-Category Data.-
5. Summarizing Continuous Data.-
6. One-Sample Means.-
7. Two-Sample Means.-
8. Analysis of Variance.-
9. Power.-
10. Association and Regression.-
Bibliography.

This book will help graduate students in non-statistics disciplines, advanced undergraduate researchers, and research faculty in the health sciences to learn, use and communicate results from many commonly used statistical methods. The material covered, and the manner in which it is presented, describe the entire data analysis process from hypothesis generation to writing the results in a manuscript. Chapters cover, among other topics: one and two-sample proportions, multi-category data, one and two-sample means, analysis of variance, and regression. Throughout the text, the authors explain statistical procedures and concepts using a non-statistical language. This accessible approach is complete with real-world examples and sample write-ups for the Methods and Results sections of scholarly papers.

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