Illuminating statistical analysis using scenarios and simulations
| Otros Autores: | |
|---|---|
| Formato: | Libro electrónico |
| Idioma: | Inglés |
| Publicado: |
Hoboken, New Jersey :
Wiley
2017.
|
| Edición: | 1st ed |
| Colección: | THEi Wiley ebooks.
|
| Materias: | |
| Ver en Biblioteca Universitat Ramon Llull: | https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009849086906719 |
Tabla de Contenidos:
- Illuminating Statistical Analysis Using Scenarios and Simulations
- Contents
- Preface
- Acknowledgements
- Part I: Sample Proportions and the Normal Distribution
- 1: Evidence and Verdicts
- 2: Judging Coins I
- 3: Brief on Bell Shapes
- 4: Judging Coins II
- 5: Amount of Evidence I
- 6: Variance of Evidence I
- 7: Judging Opinion Splits I
- 8: Amount of Evidence II
- 9: Variance of Evidence II
- 10: Judging Opinion Splits II
- 11: It Has Been the Normal Distribution All Along
- A Note on Stricter Thresholds for Type I Error
- 12: Judging Opinion Split Differences
- 13: Rescaling to Standard Errors
- 14: The Standardized Normal Distribution Histogram
- 15: The z-Distribution
- 16: Brief on Two-Tail Versus One-Tail
- 17: Brief on Type I Versus Type II Errors
- The Bigger Picture
- Part II: Sample Means and the Normal Distribution
- 18: Scaled Data and Sample Means
- 19: Distribution of Random Sample Means
- 20: Amount of Evidence
- 21: Variance of Evidence
- Variance and Standard Deviation
- 22: Homing in on the Population Mean I
- 23: Homing in on the Population Mean II
- 24: Homing in on the Population Mean III
- 25: Judging Mean Differences
- 26: Sample Size, Variance, and Uncertainty
- 27: The t-Distribution
- Part III: Multiple Proportions and Means: The X- and F-Distributions
- 28: Multiple Proportions and the X2-Distribution
- 29: Facing Degrees of Freedom
- 30: Multiple Proportions: Goodness of Fit
- A Note on Using Chi-squared to Test the Distribution of a Scaled Variable
- 31: Two-Way Proportions: Homogeneity
- 32: Two-Way Proportions: Independence
- 33: Variance Ratios and the F-Distribution
- 34: Multiple Means and Variance Ratios: ANOVA
- 35: Two-Way Means and Variance Ratios: ANOVA
- Part IV: Linear Associations: Covariance, Correlation, and Regression
- 36: Covariance.
- 37: Correlation
- 38: What Correlations Happen Just by Chance?
- Special Considerations: Confidence Intervals for Sample Correlations
- 39: Judging Correlation Differences
- Special Considerations: Sample Correlation Differences
- 40: Correlation with Mixed Data Types
- 41: A Simple Regression Prediction Model
- 42: Using Binomials Too
- Getting More Sophisticated #1
- Getting More Sophisticated #2
- 43: A Multiple Regression Prediction Model
- Getting More Sophisticated
- 44: Loose End I (Collinearity)
- 45: Loose End II (Squaring R)
- 46: Loose End III (Adjusting R-Squared)
- 47: Reality Strikes
- Part V: Dealing with Unruly Scaled Data
- 48: Obstacles and Maneuvers
- 49: Ordered Ranking Maneuver
- 50: What Rank Sums Happen Just by Chance?
- 51: Judging Rank Sum Differences
- 52: Other Methods Using Ranks
- 53: Transforming the Scale of Scaled Data
- 54: Brief on Robust Regression
- 55: Brief on Simulation and Resampling
- Part VI: Review and Additional Concepts
- 56: For Part I
- 57: For Part II
- 58: For Part III
- 59: For Part IV
- 60: For Part V
- Appendices
- A: Data Types and Some Basic Statistics
- Some Basic Statistics (Primarily for Scaled and Binomial Variables)
- B: Simulating Statistical Scenarios
- Random Variation
- General Guidelines
- Scenario-Specific Instructions
- C: Standard Error as Standard Deviation
- D: Data Excerpt
- E: Repeated Measures
- F: Bayesian Statistics
- A Note on Priors
- Getting More Sophisticated
- G: Data Mining
- Index
- EULA.
