商务统计基础pdf_商务统计基础下载_商务统计基础mobi

《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。


商务统计基础pdf目录
Chapter 1
　　An Introduction to Business Statistics
　　1.1 Populations and Samples 3
　　1.2 Selecting a Random Sample 4
　　1.3 Ratio, Interval, Ordinal, and Nominative Scales
　　of Measurement (Optional) 17
　　1.4 An Introduction to Survey Sampling (Optional) 18
　　1.5 More About Data Acquisition and Survey
　　Sampling (Optional) 20
　　MINITAB, Excel, and MegaStat for Statistics 29
　　Appendix 1.1 Getting Started with MINITAB 29
　　Appendix 1.2 Getting Started with Excel 36
　　Appendix 1.3 Getting Started with MegaStat 41
　　Appendix 1.4 Introduction to Internet Exercises 46
　　Chapter 2
　　Descriptive Statistics: Tabular and Graphical Methods
　　2.1 Graphically Summarizing Qualitative Data 49
　　2.2 Graphically Summarizing Quantitative Data 56
　　2.3 Dot Plots 68
　　2.4 Stem-and-Leaf Displays 70
　　2.5 Crosstabulation Tables (Optional) 75
　　2.6 Scatter Plots (Optional) 81
　　2.7 Misleading Graphs and Charts (Optional) 84
　　Appendix 2.1 Tabular and Graphical Methods Using MINITAB 94
　　Appendix 2.2 Tabular and Graphical Methods Using Excel 102
　　Appendix 2.3 Tabular and Graphical Methods Using MegaStat 110
　　Chapter 3
　　Descriptive Statistics: Numerical Methods
　　3.1 Describing Central Tendency 115
　　3.2 Measures of Variation 125
　　3.3 Percentiles, Quartiles, and Box-and-Whiskers Displays 136
　　3.4 Covariance, Correlation, and the Least Squares Line (Optional) 144
　　3.5 Weighted Means and Grouped Data (Optional) 150
　　3.6 The Geometric Mean (Optional) 154
　　Appendix 3.1 Numerical Descriptive Statistics Using MINITAB 162
　　Appendix 3.2 Numerical Descriptive Statistics Using Excel 164
　　Appendix 3.3 Numerical Descriptive Statistics Using MegaStat 168
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　　Table of Contents vii
　　Chapter 4
　　Probability
　　4.1 The Concept of Probability 171
　　4.2 Sample Spaces and Events 173
　　4.3 Some Elementary Probability Rules 180
　　4.4 Conditional Probability and Independence 187
　　4.5 Bayes’ Theorem (Optional) 198
　　Chapter 5
　　Discrete Random Variables
　　5.1 Two Types of Random Variables 207
　　5.2 Discrete Probability Distributions 208
　　5.3 The Binomial Distribution 219
　　5.4 The Poisson Distribution (Optional) 230
　　Appendix 5.1 Binomial and Poisson Probabilities Using MINITAB 238
　　Appendix 5.2 Binomial and Poisson Probabilities Using Excel 239
　　Appendix 5.3 Binomial and Poisson Probabilities Using MegaStat 241
　　Chapter 6
　　Continuous Random Variables
　　6.1 Continuous Probability Distributions 243
　　6.2 The Uniform Distribution 245
　　6.3 The Normal Probability Distribution 248
　　6.4 Approximating the Binomial Distribution by Using the Normal Distribution
　　(Optional) 266
　　6.5 The Exponential Distribution (Optional) 270
　　6.6 The Normal Probability Plot (Optional) 273
　　Appendix 6.1 Normal Distribution Using MINITAB 279
　　Appendix 6.2 Normal Distribution Using Excel 281
　　Appendix 6.3 Normal Distribution Using MegaStat 282
　　Chapter 7
　　Sampling Distributions
　　7.1 The Sampling Distribution of the Sample Mean 285
　　7.2 The Sampling Distribution of the Sample Proportion 298
　　Appendix 7.1 Simulating Sampling Distributions Using MINITAB 307
　　Chapter 8
　　Confidence Intervals
　　8.1 z-Based Confidence Intervals for a Population Mean: s Known 309
　　8.2 t-Based Confidence Intervals for a Population Mean: s Unknown 317
　　8.3 Sample Size Determination 325
　　8.4 Confidence Intervals for a Population Proportion 329
　　8.5 A Comparison of Confidence Intervals and Tolerance Intervals (Optional) 336
　　Appendix 8.1 Confidence Intervals Using MINITAB 342
　　Appendix 8.2 Confidence Intervals Using Excel 344
　　Appendix 8.3 Confidence Intervals Using MegaStat 345
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　　viii Table of Contents
　　Chapter 9
　　Hypothesis Testing
　　9.1 The Null and Alternative Hypotheses and Errors in Hypothesis Testing 347
　　9.2 z Tests about a Population Mean: s Known 353
　　9.3 t Tests about a Population Mean: s Unknown 366
　　9.4 z Tests about a Population Proportion 371
　　9.5 Type II Error Probabilities and Sample Size Determination (Optional) 376
　　9.6 The Chi-Square Distribution (Optional) 382
　　9.7 Statistical Inference for a Population Variance (Optional) 383
　　Appendix 9.1 One-Sample Hypothesis Testing Using MINITAB 389
　　Appendix 9.2 One-Sample Hypothesis Testing Using Excel 391
　　Appendix 9.3 One-Sample Hypothesis Testing Using MegaStat 392
　　Chapter 10
　　Statistical Inferences Based on Two Samples
　　10.1 Comparing Two Population Means by Using Independent Samples:
　　Variances Known 395
　　10.2 Comparing Two Population Means by Using Independent Samples:
　　Variances Unknown 401
　　10.3 Paired Difference Experiments 409
　　10.4 Comparing Two Population Proportions by Using Large, Independent Samples 417
　　10.5 Comparing Two Population Variances by Using Independent Samples 423
　　Appendix 10.1 Two-Sample Hypothesis Testing Using MINITAB 434
　　Appendix 10.2 Two-Sample Hypothesis Testing Using Excel 437
　　Appendix 10.3 Two-Sample Hypothesis Testing Using MegaStat 438
　　Chapter 11
　　Experimental Design and Analysis of Variance
　　11.1 Basic Concepts of Experimental Design 441
　　11.2 One-Way Analysis of Variance 444
　　11.3 The Randomized Block Design 455
　　Appendix 11.1 Experimental Design and Analysis of Variance Using MINITAB 466
　　Appendix 11.2 Experimental Design and Analysis of Variance Using Excel 467
　　Appendix 11.3 Experimental Design and Analysis of Variance Using MegaStat 468
　　Chapter 12
　　Chi-Square Tests
　　12.1 Chi-Square Goodness of Fit Tests 471
　　12.2 A Chi-Square Test for Independence 480
　　Appendix 12.1 Chi-Square Tests Using MINITAB 490
　　Appendix 12.2 Chi-Square Tests Using Excel 493
　　Appendix 12.3 Chi-Square Tests Using MegaStat 495
　　Chapter 13
　　Simple Linear Regression Analysis
　　13.1 The Simple Linear Regression Model and the Least Squares Point Estimates 499
　　13.2 Model Assumptions and the Standard Error 514
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　　ix
　　13.3 Testing the Significance of the Slope and y-Intercept 517
　　13.4 Confidence and Prediction Intervals 525
　　13.5 Simple Coefficients of Determination and Correlation 530
　　13.6 Testing the Significance of the Population Correlation Coefficient (Optional) 536
　　13.7 An F Test for the Model 537
　　13.8 Residual Analysis (Optional) 540
　　13.9 Some Shortcut Formulas (Optional) 554
　　Appendix 13.1 Simple Linear Regression Analysis Using MINITAB 563
　　Appendix 13.2 Simple Linear Regression Analysis Using Excel 564
　　Appendix 13.3 Simple Linear Regression Analysis Using MegaStat 566
　　Chapter 14
　　Multiple Regression and Model Building
　　14.1 The Multiple Regression Model and the Least Squares Point Estimates 569
　　14.2 Model Assumptions and the Standard Error 581
　　14.3 R2 and Adjusted R2 583
　　14.4 The Overall F Test 585
　　14.5 Testing the Significance of an Independent Variable 587
　　14.6 Confidence and Prediction Intervals 591
　　14.7 Using Dummy Variables to Model Qualitative Independent Variables 594
　　14.8 Model Building and the Effects of Multicollinearity 606
　　14.9 Residual Analysis in Multiple Regression 614
　　Appendix 14.1 Multiple Regression Analysis Using MINITAB 625
　　Appendix 14.2 Multiple Regression Analysis Using Excel 627
　　Appendix 14.3 Multiple Regression Analysis Using MegaStat 629
　　Appendix A
　　Statistical Tables 632
　　Appendix B
　　Counting Rules 653
　　Appendix C
　　The Hypergeometric Distribution 655
　　Answers to Most Odd-Numbered Exercises 656
　　References 662
　　Photo Credits 664
　　Index 665
　　Chapter 15 Process Improvement Using Control Charts On Website
　　Appendix D Two-Way Analysis of Variance On Website