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Common Errors in Statistics (and How to Avoid Them), 4th Edition
book

Common Errors in Statistics (and How to Avoid Them), 4th Edition

by Phillip I. Good, James W. Hardin
July 2012
Intermediate to advanced
352 pages
9h 30m
English
Wiley
Content preview from Common Errors in Statistics (and How to Avoid Them), 4th Edition

Cover page

Table of Contents

Cover

Title page

Copyright page

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

EXPERIMENTAL DESIGN

FOUR GUIDELINES

ARE EXPERIMENTS REALLY NECESSARY?

TO LEARN MORE

Part II: STATISTICAL ANALYSIS

Chapter 4 Data Quality Assessment

OBJECTIVES

REVIEW THE SAMPLING DESIGN

DATA REVIEW

TO LEARN MORE

Chapter 5 Estimation

PREVENTION

DESIRABLE AND NOT-SO-DESIRABLE ESTIMATORS

INTERVAL ESTIMATES

IMPROVED RESULTS

SUMMARY

TO LEARN MORE

Chapter 6 Testing Hypotheses: Choosing a Test Statistic

FIRST STEPS

TEST ASSUMPTIONS

BINOMIAL TRIALS

CATEGORICAL DATA

TIME-TO-EVENT DATA (SURVIVAL ANALYSIS)

COMPARING THE MEANS OF TWO SETS OF MEASUREMENTS

DO NOT LET YOUR SOFTWARE DO YOUR THINKING FOR YOU

COMPARING VARIANCES

COMPARING THE MEANS OF K SAMPLES

HIGHER-ORDER EXPERIMENTAL DESIGNS

INFERIOR TESTS

MULTIPLE TESTS

BEFORE YOU DRAW CONCLUSIONS

INDUCTION

SUMMARY

TO LEARN MORE

Chapter 7 Strengths and Limitations of Some Miscellaneous Statistical Procedures ...

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Publisher Resources

ISBN: 9781118360118Purchase book