文件名称：Illuminating Statistical Analysis Using Scenarios and Simulations
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更新时间：2022-01-27 13:35:46
Statistical
Illuminating Statistical Analysis Using Scenarios and Simulations By 作者: Jeffrey E. Kottemann ISBN-10 书号: 1119296331 ISBN-13 书号: 9781119296331 Edition 版本: 1 出版日期: 2017-03-06 pages 页数: 312 Partl: Sample Proportionsand the Normal Distribution Chapter 1: Evidence and Verdicts Chapter 2: Judging Coinsl .G.o.. Chapter 3: Brief on BellShapes Chapter4: Judging Coinsll Chapter 5: Amount of Evidencel Chapter 6: Variance of Evidencel Chapter 7: Judging Opinion Splitsl Chapter 8: Amount of Evidencell Chapter 9: Variance ofEvidence ll Chapter 10: JudgingOpinion Splitsl Chapter 11: lt Has Been the Normal Distribution All Along Chapter 12: Judging Opinion Split Differences Chapter 13: Rescaling to Standard Errors Chapter 14: The Standardized Normal Distribution Histogram Chapter 15: The z-Distribution Chapter 16: Brief on Two-Tail Versus One-Tail Chapter 17: Brief on Type l Versus Type llErors C… NL Partll: Sample Means and the Normal Distribution Chapter 18: Scaled Data and Sample Means Chapter 19: Distribution of Random Sample Means Chapter 20: Amount of Evidence Chapter 21: Variance of Evidence Chapter 22: Homing in on the Population Meanl Chapter 23: Homing in on the Population Mean lⅡ Chapter 24: Homing in on the Population Mean ll Chapter 25: Judging Mean Differences Chapter 26: Sample Size, Variance, and Uncertainty Chapter 27: Thet-Distribution Part ll: Multiple Proportions and Means: The X2-and F-Distributions Chapter 28: Multiple Proportions and the X2-Distribution Chapter 29: Facing Degrees of Freedom Chapter 30: Multiple Proportions: Goodness of Fit LOD· WOUUOOI. LO Chapter 31: Two-Way Proportions: Homogeneity Chapter 32: Two-Way Proportions: Independence Chapter 33: Variance Ratios and the F-Distribution Chapter 34: Multiple Means and Variance Ratios: ANOVA Chapter 35: Two-Way Means and Variance Ratios: ANOVA Part IV: Linear Associations: Covariance, Correlation, and Regression Chapter 36: Covariance Chapter 37: Correlation : Chapter 38: What Correlations Happen Just by Chance? Chapter 39: Judging Correlation Differences Chapter 40: Corelation with Mixed Data Types Chapter 41:A Simple Regression Prediction Model Chapter 42: Using Binomials Too Chapter 43:A Multiple Regression Prediction Model Chapter 44: Loose EndI(Collinearity) Chapter 45: Loose End ll(SquaringR) Chapter 46: Loose End ll(Adjusting R-Squared) Chapter 47: Reality Strikes Part V: Dealing with Unruly Scaled Data Chapter 48: Obstaclesand Maneuvers Chapter 49: Ordered Ranking Maneuver Chapter 50: What Rank Sums Happen Just by Chance? Chapter 51: Judging Rank Sum Differences Chapter 52: Other Methods Using Ranks Chapter 53: Transforming the Scale of Scaled Data Chapter 54: Brief on Robust Regression Chapter 55: Brief on Simulation and Resampling Part VI: Review and Additional Concepts Chapter 56: For Partl Chapter 57: For Partll Chapter 58: For Partll Chapter 59: For PartIV Chapter 60: For PartV