Ch 1 An Introduction to Business Statistics and Analytics

Ch 2 Descriptive Statistics and Analytics: Tabular and Graphical Methods

Ch 3 Descriptive Statistics and Analytics: Numerical Methods

Ch 4 Probability and Probability Models

Ch 5 Predictive Analytics I: Trees, k-Nearest Neighbors, Naive Bayes’, and Ensemble Estimates

Ch 6 Discrete Random Variables

Ch 7 Continuous Random Variables

Ch 8 Sampling Distributions

Ch 9 Confidence Intervals

Ch10 Hypothesis Testing

Ch11 Statistical Inferences Based on Two Samples

Ch12 Experimental Design and Analysis of Variance

Ch13 Chi-Square Tests

Ch14 Simple Linear Regression Analysis

Ch15 Multiple Regression and Model Building

Ch16 Predictive Analytics II: Logis?tic Regression, Discriminate Analysis, and Neural Networks

Ch17 Time Series Forecasting and Index Numbers

Ch18 Nonparametric Methods

Ch19 Decision Theory

Ch20 (Online) Process Improvement Using Control Charts for Website

Appendix A Statistical Tables

Appendix B (Online) Chapter by Chapter MegaStat