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The tao of statistics : a path to understanding (with no math / Dana K. Keller ; illustrated by Helen Cardiff.

By: Material type: TextTextPublisher: Thousand Oaks, Calif. : Sage Publications, [2006]Copyright date: ©2006Description: xi, 153 pages : illustrations ; 22 cmContent type:
  • text
Media type:
  • unmediated
Carrier type:
  • volume
ISBN:
  • 1412924731
  • 9781412924733
  • 1412913144
  • 9781412913140
Other title:
  • Tao of statistics : A path to understanding (with no maths
Subject(s): DDC classification:
  • 519.5 22
LOC classification:
  • QA276 .K253 2006
Contents:
1. The beginning - the question -- 2. Ambiguity - statistics -- 3. Fodder - data -- 4. Data - measurement -- 5. Data structure - levels of measurement -- 5.A. Nominal -- 5.B. Ordinal -- 5.C. Interval -- 5.D. Ratio -- 6. Simplifying - groups and clusters -- 7. Counts - frequencies -- 8. Pictures - graphs -- 9. Scatterings - distributions -- 10. Bell-shaped - the normal curve -- 11. Lopsidedness - skewness -- 12. Averages - central tendencies -- 12.A. Mean -- 12.B. Median -- 12.C. Mode -- 13. Two types - descriptive and inferential -- 14. Foundations - assumptions -- 15. Leeway - robustness -- 16. Consistency - reliability -- 17. Truth - validity -- 18. Unpredictability - randomness -- 19. Representativeness - samples -- 20. Mistakes - error -- 21. Real or not - outliers -- 22. Impediments - confounds -- 23. Nuisances - covariates -- 24. Background - independent variables -- 25. Targets - dependent variables -- 26. Inequality - standard deviations and variance -- 27. Prove - no, falsify -- 28. No difference - the null hypothesis -- 29. Reductionism - models -- 30. Risk - probability -- 31. Uncertainty - p values -- 32. Expectations - chi-square -- 33. Importance vs. difference - substantive vs. statistical significance -- 34. Strength - power -- 35. Likely range - confidence intervals -- 36. Association - correlation -- 37. Predictions - multiple regression -- 38. Abundance - multivariate analysis -- 39. Differences - t tests and analysis of variance -- 39.A. ANOVA -- 39.B. ANCOVA -- 39.C. MANOVA -- 39.D. MANCOVA -- 40. Differences that matter - discriminant analysis -- 41. Both sides loaded - canonical covariance analysis -- 42. Nesting - hierarchical models -- 43. Cohesion - factor analysis -- 44. Ordered events - path analysis -- 45. Digging deeper - structural equation models -- 46. Fiddling - modifications and new techniques -- 47. Epilogue.
Review: "The Tao of Statistics: A Path To Understanding (With No Math) provides a new approach to statistics through impressionistic illustrations, verse, and accompanying text. Unlike other introductions, this text explains what statistics mean and how they are used, rather than how to calculate them. Author Dana K. Keller takes readers by the hand and walks them through the basic concepts, as well as some of the most complex statistical models in use." "The book shows how life seen through statistical eyes never looks quite the same again. The author invites professionals and students to journey down this path and experience a growing sense of wonderment at the patterns and relationships that emerge from the chaos."--BOOK JACKET.
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1. The beginning - the question -- 2. Ambiguity - statistics -- 3. Fodder - data -- 4. Data - measurement -- 5. Data structure - levels of measurement -- 5.A. Nominal -- 5.B. Ordinal -- 5.C. Interval -- 5.D. Ratio -- 6. Simplifying - groups and clusters -- 7. Counts - frequencies -- 8. Pictures - graphs -- 9. Scatterings - distributions -- 10. Bell-shaped - the normal curve -- 11. Lopsidedness - skewness -- 12. Averages - central tendencies -- 12.A. Mean -- 12.B. Median -- 12.C. Mode -- 13. Two types - descriptive and inferential -- 14. Foundations - assumptions -- 15. Leeway - robustness -- 16. Consistency - reliability -- 17. Truth - validity -- 18. Unpredictability - randomness -- 19. Representativeness - samples -- 20. Mistakes - error -- 21. Real or not - outliers -- 22. Impediments - confounds -- 23. Nuisances - covariates -- 24. Background - independent variables -- 25. Targets - dependent variables -- 26. Inequality - standard deviations and variance -- 27. Prove - no, falsify -- 28. No difference - the null hypothesis -- 29. Reductionism - models -- 30. Risk - probability -- 31. Uncertainty - p values -- 32. Expectations - chi-square -- 33. Importance vs. difference - substantive vs. statistical significance -- 34. Strength - power -- 35. Likely range - confidence intervals -- 36. Association - correlation -- 37. Predictions - multiple regression -- 38. Abundance - multivariate analysis -- 39. Differences - t tests and analysis of variance -- 39.A. ANOVA -- 39.B. ANCOVA -- 39.C. MANOVA -- 39.D. MANCOVA -- 40. Differences that matter - discriminant analysis -- 41. Both sides loaded - canonical covariance analysis -- 42. Nesting - hierarchical models -- 43. Cohesion - factor analysis -- 44. Ordered events - path analysis -- 45. Digging deeper - structural equation models -- 46. Fiddling - modifications and new techniques -- 47. Epilogue.

"The Tao of Statistics: A Path To Understanding (With No Math) provides a new approach to statistics through impressionistic illustrations, verse, and accompanying text. Unlike other introductions, this text explains what statistics mean and how they are used, rather than how to calculate them. Author Dana K. Keller takes readers by the hand and walks them through the basic concepts, as well as some of the most complex statistical models in use." "The book shows how life seen through statistical eyes never looks quite the same again. The author invites professionals and students to journey down this path and experience a growing sense of wonderment at the patterns and relationships that emerge from the chaos."--BOOK JACKET.

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