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Common errors in statistics (and how to avoid them) /

"The Fourth Edition of this tried-and-true book elaborates on many key topics such as epidemiological studies, distribution of data; baseline data incorporation; case control studies; simulations; statistical theory publication; biplots; instrumental variables; ecological regression; result rep...

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Bibliographic Details
Main Authors: Good, Phillip I
Group Author: Hardin, James W. James William
Published:
Literature type: eBook
Language: English
Edition: Fourth edition.
Subjects:
Statistics
MATHEMATICS / Probability & Statistics / General
MATHEMATICS > Probability & Statistics > General
Electronic books
Online Access: http://onlinelibrary.wiley.com/book/10.1002/9781118360125
Summary: "The Fourth Edition of this tried-and-true book elaborates on many key topics such as epidemiological studies, distribution of data; baseline data incorporation; case control studies; simulations; statistical theory publication; biplots; instrumental variables; ecological regression; result reporting, survival analysis; etc. Including new modifications and figures, the book also covers such topics as research plan creation; data collection; hypothesis formulation and testing; coefficient estimates; sample size specifications; assumption checking; p-values interpretations and confidence inter
Carrier Form: 1 online resource.
Bibliography: Includes bibliographical references and index.
ISBN: 9781118360118 (ePub)
1118360117 (ePub)
9781118360095 (MobiPocket)
1118360095 (MobiPocket)
9781118360132 ( Adobe PDF)
1118360133 ( Adobe PDF)
9781118360125 (electronic bk.)
1118360125 (electronic bk.)
1118294394 (pbk.)
9781118294390 (pbk.)
9781280699399 (MyiLibrary)
1280699396 (MyiLibrary)
Index Number: QA276
CLC: O21
Contents: Common Errors in Statistics (and How to Avoid Them); Contents; Preface; Part I: FOUNDATIONS; Chapter 1: Sources of Error; PRESCRIPTION; FUNDAMENTAL CONCEPTS; SURVEYS AND LONG-TERM STUDIES; AD-HOC, POST-HOC HYPOTHESES; TO LEARN MORE; Chapter 2: Hypotheses: The Why of Your Research; PRESCRIPTION; WHAT IS A HYPOTHESIS?; HOW PRECISE MUST A HYPOTHESIS BE?; FOUND DATA; NULL OR NIL HYPOTHESIS; NEYMAN-PEARSON THEORY; DEDUCTION AND INDUCTION; LOSSES; DECISIONS; TO LEARN MORE; Chapter 3: Collecting Data; PREPARATION; RESPONSE VARIABLES; DETERMINING SAMPLE SIZE; FUNDAMENTAL ASSUMPTIONS.

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