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Home > Education > Mathematics > Common Errors in Statistics (and How to Avoid Them)

Common Errors in Statistics (and How to Avoid Them)

 
 
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Common Errors in Statistics (and How to Avoid Them)

Praise for the Second Edition:

"All statistics students and teachers will find in this book a friendly and intelligentguide to . . . applied statistics in practice." —Journal of Applied Statistics

". . . a very engaging and valuable book for all who use statistics in any setting." —CHOICE

". . . a concise guide to the basics of statistics, replete with examples . . . a valuablereference for more advanced statisticians as well." —MAA Reviews

Now in its Third Edition, the highly readable Common Errors in Statistics (and How to Avoid Them) continues to serve as a thorough and straightforward discussion of basic statistical methods, presentations, approaches, and modeling techniques. Further enriched with new examples and counterexamples from the latest research as well as added coverage of relevant topics, this new edition of the benchmark book 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.

The Third Edition has been considerably expanded and revised to include:

  • A new chapter on data quality assessment
  • A new chapter on correlated data

  • An expanded chapter on data analysis covering categorical and ordinal data, continuous measurements, and time-to-event data, including sections on factorial and crossover designs

  • Revamped exercises with a stronger emphasis on solutions

  • An extended chapter on report preparation

  • New sections on factor analysis as well as Poisson and negative binomial regression

Providing valuable, up-to-date information in the same user-friendly format as its predecessor, Common Errors in Statistics (and How to Avoid Them), Third Edition is an excellent book for students and professionals in industry, government, medicine, and the social sciences.



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Title of ebook: Common Errors in Statistics (and How to Avoid Them)
ISBN: 9780470473917
parent-ISBN: 9780470457986
Publisher: John Wiley & Sons
Internet download file size: 4551 kb
Pages: 304
Published: 10-2009
Released online for download: 10-06-2009
Joint Author: Good, Phillip I.
Joint Author: Hardin, James W.
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98-6

Chapter One

SOURCES OF ERROR

Don't think-use the computer. -Dyke (tongue in cheek) [1997].

Statistical procedures for hypothesis testing, estimation, and model building are only a part of the decision-making process. They should never be used as the sole basis for making a decision (yes, even those procedures that are based on a solid deductive mathematical foundation). As philosophers have known for centuries, extrapolation from a sample or samples to a larger incompletely examined population must entail a leap of faith.

The sources of error in applying statistical procedures are legion and include all of the following:

Using the same set of data to formulate hypotheses and then to test those hypotheses. Taking samples from the wrong population or failing to specify in advance the population(s) about which inferences are to be made. Failing to draw samples that are random and representative. Measuring the wrong variables or failing to measure what you intended to measure ... read full excerpt from Common Errors in Statistics (and How to Avoid Them) ebook



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