Statistics for management and economics:
Saved in:
| Main Authors: | , |
|---|---|
| Format: | Book |
| Language: | English |
| Published: |
Pacific Grove u.a.
Duxbury
2000
|
| Edition: | 5. ed. |
| Subjects: | |
| Online Access: | Inhaltsverzeichnis |
| Physical Description: | Getr. Zählung Ill., graph. Darst. 1 CD-ROM (12 cm) |
| ISBN: | 0534368301 |
Staff View
MARC
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| 245 | 1 | 0 | |a Statistics for management and economics |c Gerald Keller ; Brian Warrack |
| 250 | |a 5. ed. | ||
| 264 | 1 | |a Pacific Grove u.a. |b Duxbury |c 2000 | |
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| 650 | 7 | |a Méthode statistique |2 rasuqam | |
| 650 | 7 | |a Science économique |2 rasuqam | |
| 650 | 4 | |a Wirtschaft | |
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Record in the Search Index
| _version_ | 1804127563823448064 |
|---|---|
| adam_text | Contents
For Statistics in the Workplace
CHAPTER 2 Marketing Application 24
CHAPTER 4 Human Resources Application 96
Finance Application 108
Marketing Application 138
Accounting Application 138
CHAPTER 6 Operations Management Application 184
Finance Application 208
CHAPTER 7 Operations Management Application 251
Operations Management Application 252
Operations Management Application 253
Operations Management Application 258
Operations Management Application 259
CHAPTER 9 Marketing Application 293
Operations Management Application 299
CHAPTER 10 Operations Management Application 328
CHAPTER 11 Operations Management Application 354
Finance Application 358
Operations Management Application 367
Marketing Application 375
Marketing Application 378
CHAPTER 12 Operations Management Application 403
Operations Management Application 43 7
Marketing Application 440
Marketing Application: Market Segmentation 454
CHAPTER 15 Market Segmentation 560
Market Segmentation 569
CHAPTER 17 Human Resources Application 635
Human Resources Application 649
CHAPTER 18 Operations Management Application 682
Human Resources Application 697
Economic Application 742
CHAPTER 19 Operations Management Application 743
Accounting Application 753
Human Resources Application 754
Brief Contents
1 What Is Statistics? 1
2 Graphical Descriptive Techniques 17
3 Art and Science of Graphical Presentations 73
4 Numerical Descriptive Measures 89
5 Data Collection and Sampling 147
6 Probability and Discrete Probability Distributions 165
7 Continuous Probability Distributions 235
8 Sampling Distributions 261
9 Introduction to Estimation 285
10 Introduction to Hypothesis Testing 311
11 Inference About the Description of a Single Population 347
12 Inference About the Comparison of Two Populations 393
REVIEW CHAPTER
13 Statistical Inference: A Review of Chapters 11 and 12 461
14 Analysis of Variance 480
15 Additional Test for Qualitative Data 543
16 Nonparametric Statistics 575
17 Simple Linear Regression and Correlation 625
18 Multiple Regression 679
19 Model Building 731
20 Time Series Analysis and Forecasting 777
21 Statistical Process Control 833
REVIEW CHAPTER
22 Statistical Inference: Conclusion 867
Appendix A Data File Sample Statistics A l
Appendix B Tables B l
Appendix C Answers to Selected Even Numbered Exercises C l
Index 1 1
Guide to Statistical Techniques Inside Front Cover (left)
Guide to Statistics in the Workplace Inside Front Cover (right)
Index of Computer Instructions Inside Back Cover (left)
Contents
1 WHAT IS STATISTICS? 1
1.1 Introduction to Statistics 2
1.2 Key Statistical Concepts 6
1.3 Statistical Applications in Business 7
1.4 Statistics and the Computer 14
1.5 World Wide Web and Learning Center 15
2 GRAPHICAL DESCRIPTIVE TECHNIQUES 17
2.1 Introduction 18
2.2 Types of Data 18
2.3 Graphical Techniques for Quantitative Data 23
2.4 Pie Charts, Bar Charts, and Line Charts 44
2.5 Scatter Diagrams 55
2.6 Summary 61
CASE 2. l Pacific Salmon Catches 66
CASE 2.2 Bombardier, Inc. 66
CASE 2.3 The North American Free Trade Agreement (NAFTA) 67
APPENDIX 2.A Brief Introduction to Microsoft Excel 69
APPENDIX 2.B Brief Introduction to Minitab 70
3 ART AND SCIENCE OF GRAPHICAL PRESENTATIONS 73
3.1 Introduction 74
3.2 Graphical Excellence 74
3.3 Graphical Deception 82
3.4 Summary 87
case 3.1 Canadian Federal Budget 87
4 NUMERICAL DESCRIPTIVE MEASURES 89
4.1 Introduction 90
4.2 Measures of Central Location 90
X CONTENTS
4.3 Measures of Variability 102
4.4 Interpreting Standard Deviation 113
4.5 Measures of Relative Standing and Box Plots 117
4.6 Approximating Descriptive Measures for Grouped Data 124
4.7 Measures of Association 126
4.8 General Guidelines on the Exploration of Data 140
4.9 Summary 140
appendix 4.A Summation Notation 144
5 DATA COLLECTION AND SAMPLING 147
5.1 Introduction 148
5.2 Sources of Data 148
5.3 Sampling 152
5.4 Sampling Plans 154
5.5 Errors Involved in Sampling 160
5.6 Use of Sampling in Auditing 161
5.7 Summary 162
6 PROBABILITY AND DISCRETE PROBABILITY DISTRIBUTIONS 165
6.1 Introduction 166
6.2 Assigning Probabilities to Events 166
6.3 Probability Rules and Trees 178
6.4 Random Variables and Probability Distributions 186
6.5 Expected Value and Variance 192
6.6 Bivariate Distributions 200
6.7 Finance Application: Investment Portfolio Diversification 205
6.8 Binomial Distribution 209
6.9 Poisson Distribution 219
6.10 Summary 225
CASE 6.1 Let s Make a Deal 231
CASE 6.2 Gains from Market Timing 231
CASE 6.3 Calculating Probabilities Associated with the Stock Market 232
case 6.4 To Bunt or Not to Bunt? 233
i
CONTENTS Xi
7 CONTINUOUS PROBABILITY DISTRIBUTIONS 235
7.1 Introduction 236
7.2 Continuous Probability Distributions 236
7.3 Normal Distribution 240
7.4 Exponential Distribution 254
7.5 Summary 259
8 SAMPLING DISTRIBUTIONS 261
8.1 Introduction 262
8.2 Sampling Distribution of the Mean 262
8.3 Creating the Sampling Distribution by Computer Simulation (Optional) 273
8.4 Sampling Distribution of a Proportion 276
8.5 Sampling Distribution of the Difference Between Two Means 280
8.6 From Here to Inference 282
8.7 Summary 284
9 INTRODUCTION TO ESTIMATION 285
9.1 Introduction 286
9.2 Concepts of Estimation 286
9.3 Estimating the Population Mean When the Population Standard Deviation Is Known 289
9.4 Selecting the Sample Size 302
9.5 Simulation Experiments (Optional) 305
9.6 Summary 308
10 INTRODUCTION TO HYPOTHESIS TESTING 311
10.1 Introduction 312
10.2 Concepts of Hypothesis Testing 313
10.3 Testing the Population Mean When the Population Standard Deviation Is Known 315
10.4 Calculating the Probability of a Type II Error 334
10.5 The Road Ahead 342
10.6 Summary 344
Xii CONTENTS
11 INFERENCE ABOUT THE DESCRIPTION OF A
SINGLE POPULATION 347
11.1 Introduction 348
11.2 Inference About a Population Mean When the Population Standard Deviation
Is Unknown 349
11.3 Inference About a Population Variance (Optional) 363
11.4 Inference About a Population Proportion 373
11.5 The Myth of the Law of Averages (Optional) 386
11.6 Summary 388
CASE ill Pepsi s Exclusivity Agreement with a University 391
CASE 11.2 Pepsi s Exclusivity Agreement with a University: Coke s Side of the
Equation 392
CASE 11.3 Number of Uninsured Motorists 392
12 INFERENCE ABOUT THE COMPARISON OF TWO POPULATIONS 393
12.1 Introduction 394
12.2 Inference About the Difference Between Two Means: Independent Samples 395
12.3 Observational and Experimental Data 413
12.4 Inference About the Difference Between Two Means: Matched Pairs Experiment 414
12.5 Inference About the Ratio of Two Variances (Optional) 425
12.6 Inference About the Difference Between Two Population Proportions 434
12.7 Marketing Application: Market Segmentation 447
12.8 Summary 449
CASE 12.1 Specialty Advertising Recall 454
CASE 12.2 Bonanza International 455
CASE 12.3 Accounting Course Exemptions 456
APPENDIX 12.A Excel Instructions 458
APPENDIX 12.B Minitab Instructions 459
_ _ REVIEW CHAPTER
13 STATISTICAL INFERENCE:
A REVIEW OF CHAPTERS 11 AND 12 461
13.1 Introduction 462
13.2 Guide to Identifying the Correct Technique: Chapters 11 and 12 462
CONTENTS Xiii
CASE 13.1 Stock Market Returns After the Death of Key Executives 475
CASE 13.2 Quebec Separation: Oui ou Non? 476
CASE 13.3 Host Selling and Announcer Commercials 476
14 ANALYSIS OF VARIANCE 479
14.1 Introduction 480
14.2 Single Factor (One Way) Analysis of Variance: Independent Samples 481
14.3 Analysis of Variance Models 497
14.4 Single Factor Analysis of Variance: Randomized Blocks 499
14.5 Two Factor Analysis of Variance: Independent Samples 507
14.6 Operations Management Application: Finding and Reducing Variation 521
14.7 Multiple Comparisons (Optional) 526
14.8 Bartlett s Test (Optional) 533
14.9 Summary 536
CASE 14.1 Effects of Financial Planning 540
CASE 14.2 Diversification Strategy for Multinational Firms 541
15 ADDITIONAL TEST FOR QUALITATIVE DATA 543
15.1 Introduction 544
15.2 Chi Squared Goodness of Fit Test 544
15.3 Chi Squared Test of a Contingency Table 551
15.4 Summary of Tests on Qualitative Data 560
15.5 Chi Squared Test for Normality (Optional) 562
15.6 Summary 566
CASE 15.1 Predicting the Outcomes of Basketball, Baseball, Football, and Hockey Games
from Intermediate Results 569
CASE 15.2 Can Exposure to a Code of Professional Ethics Help Make Managers
More Ethical? 570
CASE 15.3 Stock Return Distributions 571
APPENDIX 15.A Minitab Instructions 573
16 NONPARAMETRIC STATISTICS 575
16.1 Introduction 576
16.2 Wilcoxon Rank Sum Test for Independent Samples 577
16.3 Sign Test and Wilcoxon Signed Rank Sum Test for Matched Pairs 589
XiV CONTENTS
16.4 Kruskal Wallis Test 602
16.5 Friedman Test 608
16.6 Testing for Normality 613
16.7 Summary 618
CASE 16.1 Capitalization Ratios in the United States and Japan 622
case 16.2 Bank of Commerce Customer Survey 623
17 SIMPLE LINEAR REGRESSION AND CORRELATION 625
17.1 Introduction 626
17.2 Model 627
17.3 Estimating the Coefficients 629
17.4 Error Variable: Required Conditions 636
17.5 Assessing the Model 638
17.6 Finance Application: Market Model 649
17.7 Using the Regression Equation 652
17.8 Coefficients of Correlation 657
17.9 Regression Diagnostics—I 664
17.10 Summary 673
CASE 17.1 Duxbury Press 676
CASE 17.2 Predicting University Grades from High School Grades 676
CASE 17.3 Insurance Compensation for Lost Revenues 677
18 MULTIPLE REGRESSION 679
18.1 Introduction 680
18.2 Model and Required Conditions 680
18.3 Estimating the Coefficients and Assessing the Model 681
18.4 Regression Diagnostics—II 699
18.5 Regression Diagnostics—III (Time Series) 714
18.6 Summary 725
CASE 18.1 Duxbury Press Revisited 729
CASE 18.2 Quebec Referendum Vote: Was There Electoral Fraud? 729
CASE 18.3 Quebec Referendum Vote: The Rebuttal 730
CONTENTS XV
19 MODEL BUILDING 731
19.1 Introduction 732
19.2 Polynomial Models 732
19.3 Qualitative Independent Variables 745
19.4 Regression and the Analysis of Variance (Optional) 755
19.5 Stepwise Regression 758
19.6 Model Building 765
19.7 Human Resources Application: Pay Equity 766
19.8 Summary 772
CASE 19.1 Challenger Disaster 774
CASE 19.2 Track and Field Performance Forecasts 775
20 TIME SERIES ANALYSIS AND FORECASTING 777
20.1 Introduction 778
20.2 Components of a Time Series 779
20.3 Smoothing Techniques 781
20.4 Trend Analysis 794
20.5 Measuring the Cyclical Effect 800
20.6 Measuring the Seasonal Effect 805
20.7 Introduction to Forecasting 811
20.8 Time Series Forecasting with Exponential Smoothing 814
20.9 Time Series Forecasting with Regression 819
20.10 Summary 829
21 STATISTICAL PROCESS CONTROL 833
21.1 Introduction 834
21.2 Process Variation 834
21.3 Control Charts for Variables: x and S Charts 840
21.4 Control Charts for Variables: x and R Charts (Optional) 853
21.5 Control Chart for Attributes: p Chart 860
21.6 Summary 865
XVi CONTENTS
^^ REVIEW CHAPTER
22 STATISTICAL INFERENCE: CONCLUSION 867
22.1 Introduction 868
22.2 Identifying the Correct Techniques: Summary of Statistical Inference 868
CASE 22.1 Do Banks Discriminate Against Women Business Owners?—I 875
CASE 22.2 Do Banks Discriminate Against Women Business Owners?—II 879
22.3 The Last Word 885
case 22.3 Ambulance and Fire Department Response Interval Study 897
CASE 22.4 Underpricing in Initial Public Offerings 898
CASE 22.5 PC Magazine Survey 898
case 22.6 WLU Graduate Survey 899
CASE 22.7 Evaluation of a New Antidepressant Drug 900
case 22.8 Nutrition Education Programs 901
CASE 22.9 Do Banks Discriminate Against Women Business Owners? III 901
Appendix A Data File Sample Statistics A l
Appendix B Tables B l
Appendix C Answers to Selected Even Numbered Exercises C l
Index I 1
Guide to Statistical Techniques Inside Front Cover (left)
Guide to Statistics in the Workplace Inside Front Cover (right)
Index of Computer Instructions Inside Back Cover (left)
|
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| id | DE-604.BV012878000 |
| illustrated | Illustrated |
| indexdate | 2024-07-09T18:35:21Z |
| institution | BVB |
| isbn | 0534368301 |
| language | English |
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| physical | Getr. Zählung Ill., graph. Darst. 1 CD-ROM (12 cm) |
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| spelling | Keller, Gerald Verfasser (DE-588)133229416 aut Statistics for management and economics Gerald Keller ; Brian Warrack 5. ed. Pacific Grove u.a. Duxbury 2000 Getr. Zählung Ill., graph. Darst. 1 CD-ROM (12 cm) txt rdacontent n rdamedia nc rdacarrier Gestion rasuqam Méthode statistique rasuqam Science économique rasuqam Wirtschaft Economics Statistical methods Management Statistical methods Wirtschaftsstatistik (DE-588)4066517-3 gnd rswk-swf Wirtschaftsstatistik (DE-588)4066517-3 s DE-604 Warrack, Brian 1943-2017 Verfasser (DE-588)170961699 aut HBZ Datenaustausch application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=008765840&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis |
| spellingShingle | Keller, Gerald Warrack, Brian 1943-2017 Statistics for management and economics Gestion rasuqam Méthode statistique rasuqam Science économique rasuqam Wirtschaft Economics Statistical methods Management Statistical methods Wirtschaftsstatistik (DE-588)4066517-3 gnd |
| subject_GND | (DE-588)4066517-3 |
| title | Statistics for management and economics |
| title_auth | Statistics for management and economics |
| title_exact_search | Statistics for management and economics |
| title_full | Statistics for management and economics Gerald Keller ; Brian Warrack |
| title_fullStr | Statistics for management and economics Gerald Keller ; Brian Warrack |
| title_full_unstemmed | Statistics for management and economics Gerald Keller ; Brian Warrack |
| title_short | Statistics for management and economics |
| title_sort | statistics for management and economics |
| topic | Gestion rasuqam Méthode statistique rasuqam Science économique rasuqam Wirtschaft Economics Statistical methods Management Statistical methods Wirtschaftsstatistik (DE-588)4066517-3 gnd |
| topic_facet | Gestion Méthode statistique Science économique Wirtschaft Economics Statistical methods Management Statistical methods Wirtschaftsstatistik |
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