Keller, Dana K.

The Tao Of Statistics : A Path To Understanding (With No Math)

Acknowledgments viii Introduction ix 1. The Beginning The Question 1(1) 2. Ambiguity Statistics 2(4) 3. Fodder Data 6(4) 4. Data Measurement 10(2) 5. Data Structure Levels of Measurement 12(10) 5.A. Nominal 14(2) 5.B. Ordinal 16(2) 5.C. Interval 18(2) 5.D. Ratio 20(2) 6. Simplifying Groups and Clusters 22(4) 7. Counts Frequencies 26(2) 8. Pictures Graphs 28(2) 9. Scatterings Distributions 30(4) 10. Bell-Shaped The Normal Curve 34(4) 11. Lopsidedness Skewness 38(2) 12. Averages Central Tendencies 40(8) 12.A. Mean 42(2) 12.B. Median 44(2) 12.C. Mode 46(2) 13. Two Types Descriptive and Inferential 48(4) 14. Foundations Assumptions 52(2) 15. Leeway Robustness 54(2) 16. Consistency Reliability 56(4) 17. Truth Validity 60(4) 18. Unpredictability Randomness 64(2) 19. Representativeness Samples 66(4) 20. Mistakes Error 70(2) 21. Real or Not Outliers 72(2) 22. Impediments Confounds 74(4) 23. Nuisances Covariates 78(4) 24. Background Independent Variables 82(2) 25. Targets Dependent Variables 84(2) 26. Inequality Standard Deviations and Variance 86(4) 27. Prove No, Falsify 90(2) 28. No Difference The Null Hypothesis 92(4) 29. Reductionism Models 96(2) 30. Risk Probability 98(2) 31. Uncertainty p Values 100(4) 32. Expectations Chi-Square 104(2) 33. Importance vs. Difference Substantive vs. Statistical Significance 106(2) 34. Strength Power 108(2) 35. Likely Range Confidence Intervals 110(2) 36. Association Correlation 112(2) 37. Predictions Multiple Regression 114(4) 38. Abundance Multivariate Analysis 118(2) 39. Differences t Tests and Analysis of Variance 120(12) 39.A. ANOVA 124(2) 39.B. ANCOVA 126(2) 39.C. MANOVA 128(2) 39.D. MANCOVA 130 40. Differences That Matter Discriminant Analysis 132(2) 41. Both Sides Loaded Canonical Covariance Analysis 134(2) 42. Nesting Hierarchical Models 136(2) 43. Cohesion Factor Analysis 138(4) 44. Ordered Events Path Analysis 142(2) 45. Digging Deeper Structural Equation Models 144(2) 46. Fiddling Modifications and New Techniques 146(2) 47. Epilogue 148(5) About the Author 153