Common Errors in Statistics (and How to Avoid Them), Third by P. I. Good, J. W. Hardin(auth.)

By P. I. Good, J. W. Hardin(auth.)

"All facts scholars and lecturers will locate during this booklet a pleasant and intelligentguide to . . . utilized facts in practice."
-Journal of utilized Statistics

". . . a truly enticing and helpful booklet for all who use information in any setting."
-CHOICE

". . . a concise advisor to the fundamentals of facts, replete with examples . . . a valuablereference for extra complex statisticians as well."
-MAA Reviews

Now in its Third Edition, the hugely readable Common blunders in information (and easy methods to keep away from Them) maintains to function an intensive and easy dialogue of simple statistical tools, displays, methods, and modeling thoughts. extra enriched with new examples and counterexamples from the most recent study in addition to extra assurance of suitable issues, this re-creation of the benchmark publication addresses renowned error frequently made in information assortment and offers an imperative consultant to exact statistical research and reporting. The authors' emphasis on cautious perform, mixed with a spotlight at the improvement of ideas, finds the real price of records whilst utilized effectively in any zone of study.

The Third Edition has been significantly increased and revised to incorporate:

  • A new bankruptcy on facts caliber assessment
  • A new bankruptcy on correlated data

  • An extended bankruptcy on info research overlaying specific and ordinal info, non-stop measurements, and time-to-event info, together with sections on factorial and crossover designs

  • Revamped workouts with an improved emphasis on ideas

  • An prolonged bankruptcy on document preparation

  • New sections on issue research in addition to Poisson and adverse binomial regression

Providing useful, up to date info within the comparable ordinary structure as its predecessor, Common error in information (and find out how to keep away from Them), 3rd version is a wonderful booklet for college kids and pros in undefined, govt, drugs, and the social sciences.

Content:
Chapter 1 resources of blunders (pages 1–11):
Chapter 2 Hypotheses: The Why of Your study (pages 13–25):
Chapter three accumulating facts (pages 27–47):
Chapter four information caliber evaluate (pages 49–55):
Chapter five Estimation (pages 57–66):
Chapter 6 trying out Hypotheses: deciding upon a try Statistic (pages 67–100):
Chapter 7 Miscellaneous Statistical systems (pages 101–114):
Chapter eight Reporting Your effects (pages 115–137):
Chapter nine studying experiences (pages 139–147):
Chapter 10 pictures (pages 149–173):
Chapter eleven Univariate Regression (pages 175–192):
Chapter 12 trade tools of Regression (pages 193–203):
Chapter thirteen Multivariable Regression (pages 205–216):
Chapter 14 Modeling Correlated info (pages 217–223):
Chapter 15 Validation (pages 225–231):

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Additional info for Common Errors in Statistics (and How to Avoid Them), Third Edition

Sample text

She is also less likely to report any improvement in her condition if she feels that the doctor has done nothing for her. Conversely, if a patient is informed that he has the new treatment, he may think it necessary to “please the doctor” by reporting some diminishment in symptoms. These behavioral phenomena are precisely the reason that clinical trials must include a control. , 1997]. Even if a physician has no strong feelings one way or the other concerning a treatment, she may tend to be less conscientious about examining patients she knows belong to the control group.

All measuring devices have both linear and nonlinear ranges; the sensitivity, accuracy, and precision of the device are all suspect for both very small and very large values. Your measuring device ought to be linear over the entire range of interest. Before you rush out and purchase the most expensive and precise measuring instruments on the market, consider that the total cost C of an experimental procedure is S þ nc, where n is the sample size and c is the cost per unit sampled. The startup cost S includes the cost of the measuring device; c consists of the cost of supplies and personnel.

Consider the pressing problems of global warming and depletion of the ozone layer. 3. ) Sampling costs Decline in quality of life Economy disrupted is done today, make one of three possible decisions: reduce emissions, leave emission standards alone, or sit and wait for more data to come in. 3. As noted at the beginning of this chapter, it’s essential we specify in advance the actions to be taken for each potential result. Always suspect are after-the-fact rationales that enable us to persist in a pattern of conduct despite evidence to the contrary.

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