A guide to choosing and using the right techniques High-speed computers and prepackaged statistical routines would seem to take much of the guesswork out of statistical analysis and lend its applications readily accessible to all. Yet, as Phillip Good and James Hardin persuasively argue, statist
Common errors in statistics, and how to avoid them
β Scribed by Good P.I., Hardin J.W.
- Publisher
- Wiley
- Year
- 2012
- Tongue
- English
- Leaves
- 336
- Series
- and How to Avoid Them
- Edition
- 4ed.
- Category
- Library
No coin nor oath required. For personal study only.
β¦ Synopsis
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."
Π²ΠβCHOICE
"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."
Π²ΠβMAA 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
- Non-random 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 easy-to-follow style, Common Errors in Statistics, Fourth Edition is an excellent book for students and professionals in industry, government, medicine, and the social sciences
π SIMILAR VOLUMES
"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 reportin
This set contains: 9780471794318 Common Errors in Statistics (and How to Avoid Them), 2nd Edition and 9780471715757 Introduction to Statistics Through Resampling Methods and R/S Plus?? both by Phillip I. Good and James W. Hardin.
Content: <br>Chapter 1 Sources of Error (pages 1β13): <br>Chapter 2 Hypotheses: The why of your Research (pages 15β29): <br>Chapter 3 Collecting Data (pages 31β55): <br>Chapter 4 Data Quality Assessment (pages 57β63): <br>Chapter 5 Estimation (pages 65β78): <br>Chapter 6 Testing Hypotheses: Choosing