TY - BOOK AU - Keller, Dana K. AU - Cardiff, Helen TI - The Tao of Statistics: A Path to Understanding (With No Math) SN - 9781483377926 U1 - 519.5 PY - 2016/// CY - New Delhi PB - Sage Publications India Pvt. Ltd. KW - Statistics - Study and Teaching N1 - 1. The Beginning - The Question 2. Ambiguity - Statistics 3. Fodder - Data 4. Data - Measurement 5. Data Structure - Levels of Measurement 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 13. Two Types - Descriptive and Inferential 14. Foundations - Assumptions 15. Murkiness - Missing Data 16. Leeway - Robustness 17. Consistency - Reliability 18. Truth - Validity 19. Unpredictability - Randomness 20. Representativeness - Samples 21. Mistakes - Error 22. Real or Not - Outliers 23. Impediments - Confounds 24. Nuisances - Covariates 25. Background - Independent Variables 26. Targets - Dependent Variables 27. Inequality - Standard Deviations and Variance 28. Prove - No, Falsify 29. No Difference - The Null Hypothesis 30. Reductionism - Model 31. Risk - Probability 32. Uncertainty - p Values 33. Expectations - Chi-Square 34. Importance vs. Difference - Substantive vs. Statistical Significance 35. Strength - Power 36. Impact - Effect Sizes 37. Likely Range - Confidence Intervals 38. Association - Correlation 39. Predictions - Multiple Regressions 40. Abundance - Multivariate Analysis 41. Differences - t Tests and Analysis of Variance 42. Differences that Matter - Discriminant Analysis 43. Both Sides Loaded - Canonical Covariance Analysis 44. Nesting - Hierarchical Models 45. Cohesion - Factor Analysis 46. Ordered Events - Path Analysis 47. Digging Deeper - Structural Equation Models 48. Abundance - Big Data 49. Scarcity - Small Data 50. Fiddling - Modifications and New Techniques 51. Epilogue ER -