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Common errors in statistics (and how to avoid them) / Phillip I. Good and James W. Hardin.

By: Contributor(s): Material type: TextTextPublication details: Hoboken : Wiley, 2012.Edition: Fourth editionDescription: 1 online resourceContent type:
  • text
Media type:
  • computer
Carrier type:
  • online resource
ISBN:
  • 9781118360118
  • 1118360117
  • 9781118360095
  • 1118360095
  • 9781118360132
  • 1118360133
  • 9781118360125
  • 1118360125
  • 1118294394
  • 9781118294390
  • 9781280699399
  • 1280699396
Subject(s): Genre/Form: Additional physical formats: Print version:: Common errors in statistics (and how to avoid them).DDC classification:
  • 519.5 23
LOC classification:
  • QA276
Other classification:
  • MAT029000
Online resources:
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.
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 intervals; counts and correlated data; model building and testing; Bayes' Theorem; bootstrap and permutation tests; and more"-- Provided by publisher.
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"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.