Business Statistics and Analytics in Practice (9版)

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書名：Business Statistics and Analytics in Practice 9/E 作者：Bowerman 出版社：McGraw-Hill 出版日期：2019/00/00 ISBN：9781260287844 內容簡介 1. A modern, practical and unique framework for teaching an introductory course in Business Statistics. 2.  Employs realistic examples, continuing case studies and a business improvement theme to teach the material. 3. Features more concise and lucid explanations, an improved topic flow and a sensible use of the best and most compelling examples. 目錄 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