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Statistics for dummies / by Deborah J. Rumsey, PhD.

By: Material type: TextTextSeries: --For dummies | Learning made easyPublisher: Hoboken, New Jersey : Wiley Publishing, Inc., 2011Copyright date: ©2011Edition: Second editionDescription: xiii, 388 pages : illustrations ; 24 cmContent type:
  • text
Media type:
  • unmediated
Carrier type:
  • volume
ISBN:
  • 9781119293521
Subject(s): DDC classification:
  • 519.5 23
LOC classification:
  • HA29 .R8414 2011
Contents:
Introduction -- pt. I. Vital statistics about statistics. 1. Statistics in a nutshell -- 2. The statistics of everyday life -- 3. Taking control : so many numbers, so little time -- 4. Tools of the trade -- pt. II. Number-crunching basics. 5. Means, medians, and more -- 6. Getting the picture : graphing categorical data -- 7. Going by the numbers : graphing numerical data -- pt. III. Distributions and the central limit theorem -- 8. Random variables and the binomial distribution -- 9. The normal distribution -- 10. The t-Distribution -- 11. Sampling distributions and the central limit theorem -- pt. IV. Guesstimating and hypothesizing with confidence. 12. Leaving room for a margin of error -- 13. confidence intervals : making your best guesstimate -- 14. Claims, tests, and conclusions -- 15. Commonly used hypothesis tests : formulas and examples -- pt. V. Statistical studies and the hunt for a meaningful relationship. 16. Polls, polls, and more polls -- 17. Experiments : medical breakthroughs or misleading results? -- 18. Looking for links : correlation and regression -- 19. Two-way tables and independence -- pt. VI. The part of tens. 20. Ten tips for the statistically savvy sleuth -- 21. Ten surefire exam score boosters -- Appendix : tables for reference -- Index.
Summary: This guide shows you how to collect, graph, and critique data; decipher distributions; calculate confidence intervals and hypothesis tests; analyze data with correlation, regression, and two-way tables; and much more.
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Includes bibliographical references and index.

Introduction -- pt. I. Vital statistics about statistics. 1. Statistics in a nutshell -- 2. The statistics of everyday life -- 3. Taking control : so many numbers, so little time -- 4. Tools of the trade -- pt. II. Number-crunching basics. 5. Means, medians, and more -- 6. Getting the picture : graphing categorical data -- 7. Going by the numbers : graphing numerical data -- pt. III. Distributions and the central limit theorem -- 8. Random variables and the binomial distribution -- 9. The normal distribution -- 10. The t-Distribution -- 11. Sampling distributions and the central limit theorem -- pt. IV. Guesstimating and hypothesizing with confidence. 12. Leaving room for a margin of error -- 13. confidence intervals : making your best guesstimate -- 14. Claims, tests, and conclusions -- 15. Commonly used hypothesis tests : formulas and examples -- pt. V. Statistical studies and the hunt for a meaningful relationship. 16. Polls, polls, and more polls -- 17. Experiments : medical breakthroughs or misleading results? -- 18. Looking for links : correlation and regression -- 19. Two-way tables and independence -- pt. VI. The part of tens. 20. Ten tips for the statistically savvy sleuth -- 21. Ten surefire exam score boosters -- Appendix : tables for reference -- Index.

This guide shows you how to collect, graph, and critique data; decipher distributions; calculate confidence intervals and hypothesis tests; analyze data with correlation, regression, and two-way tables; and much more.

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