Business Statistics and Analytics in Practice, 9th Edition

Complete eTextbook Content:
Chapter 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: Logistic 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

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Name: Business Statistics and Analytics in Practice, 9th Edition
Author: Bruce Bowerman, Anne M. Drougas, William M. Duckworth, Amy G. Froelich, Ruth M. Hummel, Kyle B. Moninger, Patrick J. Schur
Edition: 9
ISBN-10: 1260187497
ISBN-13: 9781260187496
Type: eTextbook

This is a eBook for the acutal textbook of Business Statistics and Analytics in Practice, 9th Edition, by Bowerman, Drougas, Duckworth, Froelich, Hummel, Moninger, Schur.

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