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 Good
β Scribed by Phillip I. Good, James W. Hardin
- Year
- 2006
- Tongue
- English
- Leaves
- 252
- Category
- Library
No coin nor oath required. For personal study only.
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<p>Praise for <i>Common Errors in Statistics (and How to Avoid Them)</i></p><p>"A very engaging and valuable book for all who use statistics in any setting."<BR><i>Π²ΠβCHOICE</i><p>"Addresses popular mistakes often made in data collection and provides an indispensable guide to accurate statistical an
"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