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richard t. o'connell的圖書 |
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$ 1297 | Business Statistics in Practice: Using Modeling, Data, and Analytics
作者：Bruce L. Bowerman、Richard T. O'Connell、Emily S. Murphree 出版社：華泰文化 出版日期：2016-07-14 語言：繁體/中文  iRead灰熊愛讀書 - 高等教育
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圖書介紹 - 資料來源：博客來 評分：
圖書名稱：Business Statistics in Practice: Using Modeling, Data, and Analytics(8版)
內容簡介
Business Statistics in Practice, Eighth Edition provides a modern, practical and unique framework for teaching an introductory course in Business Statistics. The textbook employs realistic examples, continuing case studies and a business improvement theme to teach the material.
作者介紹
作者簡介
Bruce L. Bowerman
現職：Miami University
Richard T. O'Connell
現職：Miami University
Emily S. Murphree
現職：Miami University
Bruce L. Bowerman
現職：Miami University
Richard T. O'Connell
現職：Miami University
Emily S. Murphree
現職：Miami University
目錄
Ch 1 An Introduction to Business Statistics and Analytics
Ch 2 Descriptive Statistics: Tabular and Graphical Methods and Descriptive Analytics
Ch 3 Descriptive Statistics: Numerical Methods and Some Predictive Analytics
Ch 4 Probability and Probability Models
Ch 5 Discrete Random Variables
Ch 6 Continuous Random Variables
Ch 7 Sampling Distributions
Ch 8 Confidence Intervals
Ch 9 Hypothesis Testing
Ch10 Statistical Inferences Based on Two Samples
Ch11 Experimental Design and Analysis of Variances
Ch12 Chi-Square Tests
Ch13 Simple Linear Regression Analysis
Ch14 Multiple Regression and Model Building
Ch15 Time Series Forecasting and Index Numbers
Ch16 Process Improvement Using Control Charts
Ch17 Nonparametric Methods
Ch18 Decision Theory
Appendix A Statistical Tables
Appendix B An Introduction to Box-Jenkins Models
Ch 2 Descriptive Statistics: Tabular and Graphical Methods and Descriptive Analytics
Ch 3 Descriptive Statistics: Numerical Methods and Some Predictive Analytics
Ch 4 Probability and Probability Models
Ch 5 Discrete Random Variables
Ch 6 Continuous Random Variables
Ch 7 Sampling Distributions
Ch 8 Confidence Intervals
Ch 9 Hypothesis Testing
Ch10 Statistical Inferences Based on Two Samples
Ch11 Experimental Design and Analysis of Variances
Ch12 Chi-Square Tests
Ch13 Simple Linear Regression Analysis
Ch14 Multiple Regression and Model Building
Ch15 Time Series Forecasting and Index Numbers
Ch16 Process Improvement Using Control Charts
Ch17 Nonparametric Methods
Ch18 Decision Theory
Appendix A Statistical Tables
Appendix B An Introduction to Box-Jenkins Models
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