Description
Book SynopsisBowerman 9e covers both standard business statistics and business analytics topics and provides them in a clear presentation that is organized so that business analytics topics may be used or not used. Bowerman provides a continuous case throughout chapters and business analytics topics that allow students to use data for a more applied and practical approach. Featuring Connect, Smartbook, Guided examples, Algorithmic Problems and a Business Statistics, Math and Excel prep component, Bowerman is a perfect fit for the instructor who wants a Business Stats with Business Analytics focus.Table of ContentsChapter 1 An Introduction to Business Statistics and Analytics
Chapter 2 Descriptive Statistics and Analytics: Tabular and Graphical Methods
Chapter 3 Descriptive Statistics and Analytics: Numerical Methods
Chapter 4 Probability and Probability Models
Chapter 5 Predictive Analytics I: Trees, k-Nearest Neighbors, Naive Bayes’, and Ensemble Estimates
Chapter 6 Discrete Random Variables
Chapter 7 Continuous Random Variables
Chapter 8 Sampling Distributions
Chapter 9 Confidence Intervals
Chapter 10 Hypothesis Testing
Chapter 11 Statistical Inferences Based on Two Samples
Chapter 12 Experimental Design and Analysis of Variance
Chapter 13 Chi-Square Tests
Chapter 14 Simple Linear Regression Analysis
Chapter 15 Multiple Regression and Model Building
Chapter 16 Predictive Analytics II: Logis¬tic Regression, Discriminate Analysis, and Neural Networks
Chapter 17 Time Series Forecasting and Index Numbers
Chapter 18 Nonparametric Methods
Chapter 19 Decision Theory
Chapter 20 (Online) Process Improvement Using Control Charts for Website
Appendix A Statistical Tables
Appendix B (Online) Chapter by Chapter MegaStat Appendices
