Common errors in statistics (and how to avoid them) / Phillip I. Good and James W. Hardin.
Material type: TextPublication details: Hoboken : Wiley, 2012.Edition: Fourth editionDescription: 1 online resourceContent type:- text
- computer
- online resource
- 9781118360118
- 1118360117
- 9781118360095
- 1118360095
- 9781118360132
- 1118360133
- 9781118360125
- 1118360125
- 1118294394
- 9781118294390
- 9781280699399
- 1280699396
- 519.5 23
- QA276
- MAT029000
"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 intervals; counts and correlated data; model building and testing; Bayes' Theorem; bootstrap and permutation tests; and more"-- Provided by publisher.
Includes bibliographical references and index.
Print version record and CIP data provided by publisher.
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.