内容介绍

《商务统计基础:英文(第3版影印版)》使用不超过中学代数水平的数学工具，通过典型的案例和问题，直接从基本原理出发来阐述统计的基本概念，是学生能够深刻的理解各种统计方法的理论背景和使用范围。

作品目录

Chapter 1An Introduction to Business Statistics1.1 Populations and Samples 31.2 Selecting a Random Sample 41.3 Ratio, Interval, Ordinal, and Nominative Scalesof Measurement (Optional) 171.4 An Introduction to Survey Sampling (Optional) 181.5 More About Data Acquisition and SurveySampling (Optional) 20MINITAB, Excel, and MegaStat for Statistics 29Appendix 1.1 Getting Started with MINITAB 29Appendix 1.2 Getting Started with Excel 36Appendix 1.3 Getting Started with MegaStat 41Appendix 1.4 Introduction to Internet Exercises 46Chapter 2Descriptive Statistics: Tabular and Graphical Methods2.1 Graphically Summarizing Qualitative Data 492.2 Graphically Summarizing Quantitative Data 562.3 Dot Plots 682.4 Stem-and-Leaf Displays 702.5 Crosstabulation Tables (Optional) 752.6 Scatter Plots (Optional) 812.7 Misleading Graphs and Charts (Optional) 84Appendix 2.1 Tabular and Graphical Methods Using MINITAB 94Appendix 2.2 Tabular and Graphical Methods Using Excel 102Appendix 2.3 Tabular and Graphical Methods Using MegaStat 110Chapter 3Descriptive Statistics: Numerical Methods3.1 Describing Central Tendency 1153.2 Measures of Variation 1253.3 Percentiles, Quartiles, and Box-and-Whiskers Displays 1363.4 Covariance, Correlation, and the Least Squares Line (Optional) 1443.5 Weighted Means and Grouped Data (Optional) 1503.6 The Geometric Mean (Optional) 154Appendix 3.1 Numerical Descriptive Statistics Using MINITAB 162Appendix 3.2 Numerical Descriptive Statistics Using Excel 164Appendix 3.3 Numerical Descriptive Statistics Using MegaStat 168bow73683_fm.qxd 12/08/2 12:02 AM Page viTable of Contents viiChapter 4Probability4.1 The Concept of Probability 1714.2 Sample Spaces and Events 1734.3 Some Elementary Probability Rules 1804.4 Conditional Probability and Independence 1874.5 Bayes’ Theorem (Optional) 198Chapter 5Discrete Random Variables5.1 Two Types of Random Variables 2075.2 Discrete Probability Distributions 2085.3 The Binomial Distribution 2195.4 The Poisson Distribution (Optional) 230Appendix 5.1 Binomial and Poisson Probabilities Using MINITAB 238Appendix 5.2 Binomial and Poisson Probabilities Using Excel 239Appendix 5.3 Binomial and Poisson Probabilities Using MegaStat 241Chapter 6Continuous Random Variables6.1 Continuous Probability Distributions 2436.2 The Uniform Distribution 2456.3 The Normal Probability Distribution 2486.4 Approximating the Binomial Distribution by Using the Normal Distribution(Optional) 2666.5 The Exponential Distribution (Optional) 2706.6 The Normal Probability Plot (Optional) 273Appendix 6.1 Normal Distribution Using MINITAB 279Appendix 6.2 Normal Distribution Using Excel 281Appendix 6.3 Normal Distribution Using MegaStat 282Chapter 7Sampling Distributions7.1 The Sampling Distribution of the Sample Mean 2857.2 The Sampling Distribution of the Sample Proportion 298Appendix 7.1 Simulating Sampling Distributions Using MINITAB 307Chapter 8Confidence Intervals8.1 z-Based Confidence Intervals for a Population Mean: s Known 3098.2 t-Based Confidence Intervals for a Population Mean: s Unknown 3178.3 Sample Size Determination 3258.4 Confidence Intervals for a Population Proportion 3298.5 A Comparison of Confidence Intervals and Tolerance Intervals (Optional) 336Appendix 8.1 Confidence Intervals Using MINITAB 342Appendix 8.2 Confidence Intervals Using Excel 344Appendix 8.3 Confidence Intervals Using MegaStat 345bow73683_fm.qxd 12/08/2 12:02 AM Page viiviii Table of ContentsChapter 9Hypothesis Testing9.1 The Null and Alternative Hypotheses and Errors in Hypothesis Testing 3479.2 z Tests about a Population Mean: s Known 3539.3 t Tests about a Population Mean: s Unknown 3669.4 z Tests about a Population Proportion 3719.5 Type II Error Probabilities and Sample Size Determination (Optional) 3769.6 The Chi-Square Distribution (Optional) 3829.7 Statistical Inference for a Population Variance (Optional) 383Appendix 9.1 One-Sample Hypothesis Testing Using MINITAB 389Appendix 9.2 One-Sample Hypothesis Testing Using Excel 391Appendix 9.3 One-Sample Hypothesis Testing Using MegaStat 392Chapter 10Statistical Inferences Based on Two Samples10.1 Comparing Two Population Means by Using Independent Samples:Variances Known 39510.2 Comparing Two Population Means by Using Independent Samples:Variances Unknown 40110.3 Paired Difference Experiments 40910.4 Comparing Two Population Proportions by Using Large, Independent Samples 41710.5 Comparing Two Population Variances by Using Independent Samples 423Appendix 10.1 Two-Sample Hypothesis Testing Using MINITAB 434Appendix 10.2 Two-Sample Hypothesis Testing Using Excel 437Appendix 10.3 Two-Sample Hypothesis Testing Using MegaStat 438Chapter 11Experimental Design and Analysis of Variance11.1 Basic Concepts of Experimental Design 44111.2 One-Way Analysis of Variance 44411.3 The Randomized Block Design 455Appendix 11.1 Experimental Design and Analysis of Variance Using MINITAB 466Appendix 11.2 Experimental Design and Analysis of Variance Using Excel 467Appendix 11.3 Experimental Design and Analysis of Variance Using MegaStat 468Chapter 12Chi-Square Tests12.1 Chi-Square Goodness of Fit Tests 47112.2 A Chi-Square Test for Independence 480Appendix 12.1 Chi-Square Tests Using MINITAB 490Appendix 12.2 Chi-Square Tests Using Excel 493Appendix 12.3 Chi-Square Tests Using MegaStat 495Chapter 13Simple Linear Regression Analysis13.1 The Simple Linear Regression Model and the Least Squares Point Estimates 49913.2 Model Assumptions and the Standard Error 514bow73683_fm.qxd 12/08/2 12:02 AM Page viiiix13.3 Testing the Significance of the Slope and y-Intercept 51713.4 Confidence and Prediction Intervals 52513.5 Simple Coefficients of Determination and Correlation 53013.6 Testing the Significance of the Population Correlation Coefficient (Optional) 53613.7 An F Test for the Model 53713.8 Residual Analysis (Optional) 54013.9 Some Shortcut Formulas (Optional) 554Appendix 13.1 Simple Linear Regression Analysis Using MINITAB 563Appendix 13.2 Simple Linear Regression Analysis Using Excel 564Appendix 13.3 Simple Linear Regression Analysis Using MegaStat 566Chapter 14Multiple Regression and Model Building14.1 The Multiple Regression Model and the Least Squares Point Estimates 56914.2 Model Assumptions and the Standard Error 58114.3 R2 and Adjusted R2 58314.4 The Overall F Test 58514.5 Testing the Significance of an Independent Variable 58714.6 Confidence and Prediction Intervals 59114.7 Using Dummy Variables to Model Qualitative Independent Variables 59414.8 Model Building and the Effects of Multicollinearity 60614.9 Residual Analysis in Multiple Regression 614Appendix 14.1 Multiple Regression Analysis Using MINITAB 625Appendix 14.2 Multiple Regression Analysis Using Excel 627Appendix 14.3 Multiple Regression Analysis Using MegaStat 629Appendix AStatistical Tables 632Appendix BCounting Rules 653Appendix CThe Hypergeometric Distribution 655Answers to Most Odd-Numbered Exercises 656References 662Photo Credits 664Index 665Chapter 15 Process Improvement Using Control Charts On WebsiteAppendix D Two-Way Analysis of Variance On Website

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《商务统计基础(第3版)(翻译版)》是由清华大学出版社出版的。

作者简介

作者：(美国)布鲁斯·L.鲍尔曼(Bruce L.Bowerman) 理查德·T.奥康奈尔(Richard T.O'Connell) J.B.奥里斯(J.B.Orris) 等 译者：韩小亮 韩小亮，统计学博士，教授。1984年毕业于上海财经大学统计学系，获经济学硕士学位：1989年毕业于英国巴斯大学(University of Bath)数学学院，获计算统计学硕士学位：1992年毕业于英国布里斯托尔大学(University of Bristol)数学学院，获统计学博士学位。1993-1996年在英国牛津大学(Oxford University)统计系做博士后研究。1996-2003年在英国帝国理工大学(Imperial College of Science, Technology and Medicine)交通研究中心做研究员。2003-2006年受聘为上海财经大学统计学系系主任，教授，博士生导师。2006-2010年任汇丰银行亚太总部个人信贷风险部决策研究中心部门主管。是2009年版新《辞海》的统计部分部主编。