Introduction The Even You Can Learn Statistics and Analytics Owner''s Manual. xiii Chapter 1 Fundamentals of Statistics. 1 1.1 The First Three Words of Statistics. 2 1.2 The Fourth and Fifth Words. 4 1.3 The Branches of Statistics.
4 1.4 Sources of Data . 5 1.5 Sampling Concepts . 7 1.6 Sample Selection Methods. 8 Chapter 2 Presenting Data in Tables and Charts . 15 2.
1 Presenting Categorical Variables. 15 2.2 Presenting Numerical Variables . 23 2.3 "Bad" Charts. 29 Chapter 3 Descriptive Statistics. 45 3.1 Measures of Central Tendency.
45 3.2 Measures of Position. 49 3.3 Measures of Variation. 54 3.4 Shape of Distributions. 59 Chapter 4 Probability. 75 4.
1 Events. 75 4.2 More Definitions . 76 4.3 Some Rules of Probability. 78 4.4 Assigning Probabilities. 81 Chapter 5 Probability Distributions.
87 5.1 Probability Distributions for Discrete Variables. 87 5.2 The Binomial and Poisson Probability Distributions. 93 5.3 Continuous Probability Distributions and the Normal Distribution . 100 5.4 The Normal Probability Plot.
108 Chapter 6 Sampling Distributions and Confidence Intervals. 121 6.1 Foundational Concepts . 122 6.2 Sampling Error and Confidence Intervals. 125 6.3 Confidence Interval Estimate for the Mean Using the t Distribution (? Unknown). 128 6.
4 Confidence Interval Estimation for Categorical Variables . 131 6.5 Confidence Interval Estimation When Normality Cannot Be Assumed. 134 Chapter 7 Fundamentals of Hypothesis Testing. 145 7.1 The Null and Alternative Hypotheses. 145 7.2 Hypothesis Testing Issues.
147 7.3 Decision-Making Risks. 149 7.4 Performing Hypothesis Testing. 150 7.5 Types of Hypothesis Tests. 152 Chapter 8 Hypothesis Testing: Z and t Tests. 157 8.
1 Test for the Difference Between Two Proportions . 157 8.2 Test for the Difference Between the Means of Two Independent Groups . 163 8.3 The Paired t Test. 168 Chapter 9 Hypothesis Testing: Chi-Square Tests and the One-Way Analysis of Variance (ANOVA). 183 9.1 Chi-Square Test for Two-Way Tables.
183 9.2 One-Way Analysis of Variance (ANOVA): Testing for the Differences Among the Means of More Than Two Groups. 191 Chapter 10 Simple Linear Regression. 211 10.1 Basics of Regression Analysis . 211 10.2 Developing a Simple Linear Regression Model. 214 10.
3 Measures of Variation. 221 10.4 Inferences About the Slope. 226 10.5 Common Mistakes When Using Regression Analysis . 229 Chapter 11 Multiple Regression. 243 11.1 The Multiple Regression Model .
243 11.2 Coefficient of Multiple Determination . 246 11.3 The Overall F Test . 246 11.4 Residual Analysis for the Multiple Regression Model . 247 11.5 Inferences Concerning the Population Regression Coefficients.
248 Chapter 12 Introduction to Analytics. 259 12.1 Basic Concepts. 259 12.2 Descriptive Analytics. 265 12.3 Typical Descriptive Analytics Visualizations. 269 Chapter 13 Predictive Analytics.
279 13.1 Predictive Analytics Methods. 279 13.2 More About Predictive Models. 281 13.3 Tree Induction. 284 13.4 Clustering .
287 13.5 Association Analysis. 290 Appendix A Microsoft Excel Operation and Configuration . 299 Appendix B Review of Arithmetic and Algebra. 301 Appendix C Statistical Tables. 311 Appendix D Spreadsheet Tips . 339 Appendix E Advanced Techniques. 343 Appendix F Documentation for Downloadable Files.
353 9780137654765, TOC, 4/25/2022.