Book description
Praise for Common Errors in Statistics (and How to Avoid Them)
"A very engaging and valuable book for all who use statistics in any setting."
—CHOICE
"Addresses popular mistakes often made in data collection and provides an indispensable guide to accurate statistical analysis and reporting. The authors' emphasis on careful practice, combined with a focus on the development of solutions, reveals the true value of statistics when applied correctly in any area of research."
—MAA Reviews
Common Errors in Statistics (and How to Avoid Them), Fourth Edition provides a mathematically rigorous, yet readily accessible foundation in statistics for experienced readers as well as students learning to design and complete experiments, surveys, and clinical trials.
Providing a consistent level of coherency throughout, the highly readable Fourth Edition focuses on debunking popular myths, analyzing common mistakes, and instructing readers on how to choose the appropriate statistical technique to address their specific task. The authors begin with an introduction to the main sources of error and provide techniques for avoiding them. Subsequent chapters outline key methods and practices for accurate analysis, reporting, and model building. The Fourth Edition features newly added topics, including:
Baseline data
Detecting fraud
Linear regression versus linear behavior
Case control studies
Minimum reporting requirements
Nonrandom samples
The book concludes with a glossary that outlines key terms, and an extensive bibliography with several hundred citations directing readers to resources for further study.
Presented in an easytofollow style, Common Errors in Statistics, Fourth Edition is an excellent book for students and professionals in industry, government, medicine, and the social sciences.
Table of contents
 Cover
 Title page
 Copyright page
 Preface
 Part I: FOUNDATIONS

Part II: STATISTICAL ANALYSIS
 Chapter 4 Data Quality Assessment
 Chapter 5 Estimation

Chapter 6 Testing Hypotheses: Choosing a Test Statistic
 FIRST STEPS
 TEST ASSUMPTIONS
 BINOMIAL TRIALS
 CATEGORICAL DATA
 TIMETOEVENT 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
 HIGHERORDER 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
 Chapter 8 Reporting Your Results
 Chapter 9 Interpreting Reports

Chapter 10 Graphics
 IS A GRAPH REALLY NECESSARY?
 KISS
 THE SOCCER DATA
 FIVE RULES FOR AVOIDING BAD GRAPHICS
 ONE RULE FOR CORRECT USAGE OF THREEDIMENSIONAL GRAPHICS
 THE MISUNDERSTOOD AND MALIGNED PIE CHART
 TWO RULES FOR EFFECTIVE DISPLAY OF SUBGROUP INFORMATION
 TWO RULES FOR TEXT ELEMENTS IN GRAPHICS
 MULTIDIMENSIONAL DISPLAYS
 CHOOSING EFFECTIVE DISPLAY ELEMENTS
 ORAL PRESENTATIONS
 SUMMARY
 TO LEARN MORE
 Part III: BUILDING A MODEL
 Glossary
 Bibliography
 Author Index
 Subject Index
Product information
 Title: Common Errors in Statistics (and How to Avoid Them), 4th Edition
 Author(s):
 Release date: July 2012
 Publisher(s): Wiley
 ISBN: 9781118294390
You might also like
book
Statistical Rethinking
Statistical Rethinking: A Bayesian Course with Examples in R and Stan builds readers’ knowledge of and …
book
Practical Statistics for Data Scientists, 2nd Edition
Statistical methods are a key part of data science, yet few data scientists have formal statistical …
book
Fundamentals of Data Visualization
Effective visualization is the best way to communicate information from the increasingly large and complex datasets …
book
Guide to Essential Math, 2nd Edition
This book reminds students in junior, senior and graduate level courses in physics, chemistry and engineering …