Business Statistics Practices W/cd
by BOWERMAN OCONNELEdition: 2nd
Format: Hardcover
Pub. Date: 2001-03-16
Publisher(s): MCG
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Summary
This text delivers clear and understandable explanations of business statistics concepts through the use of case studies and examples that reflect real applications of statistics relevant to business students. The richness and relevance of the data sets used to demonstrate statistical concepts sets this book apart from its competitors. Bowerman/ O'Connell/ Hand (BOH) also provides a fresh technology perspective. Excel and minitab output is included in the text to help students visualize concepts, and the coverage of the Internet included in the book is second to none.
Table of Contents
1. An Introduction to Business Statistics 2. Descriptive Statistics 3. Probability 4. Discrete Random Variables 5. Continuous Random Variables 6. Sampling Distributions 7. Confidence Intervals 8. Hypothesis Testing 9. Statistical Inferences Based on Two Samples 10. Experimental Design and Analysis of Variance 11. Simple Linear Regression Analysis 12. Multiple Regression 13. Model Diagnostics and Model Building 14. Time Series Forecasting 15. Process Improvement Using Control Charts 16. Nonparametric Methods 17. Chi-Square Tests 18. Decision Theory Appendix A: Statistical Tables Appendix B: Counting Rules Appendix C: The Hypergeometric Distribution Contents on CD-Rom Appendix D: Properties of the Mean and the Variance of a Random Variable, and the Covariance Between Two Ramdon VariablesAppendix E: Derivations of the Mean and the Variance of the Sample Mean and of the Mean and the Variance of the Sample ProportionAppendix F: Cluster Sampling and Rations EstimationAppendix G: Using Matrix Algebra to perform Regression Calculations Appendix H: The Regression Approach to Two-Way Analysis of Variance Appendix I: Factor Analysis, Cluster Analysis, and Multidimensional Scaling Appendix J: The Box-Jenkins’ Methodology Appendix K: The Updating Equations for the Holt-Winters’ Models Appendix L: Individuals Charts and c Chartsts
3. Probability 4. Discrete Random Variables 5. Continuous Random Variables 6. Sampling Distributions 7. Confidence Intervals 8. Hypothesis Testing 9. Statistical Inferences Based on Two Samples 10. Experimental Design and Analysis of Variance 11. Simple Linear Regression Analysis 12. Multiple Regression 13. Model Diagnostics and Model Building 14. Time Series Forecasting 15. Process Improvement Using Control Charts 16. Nonparametric Methods 17. Chi-Square Tests 18. Decision Theory Appendix A: Statistical Tables Appendix B: Counting Rules Appendix C: The Hypergeometric Distribution Contents on CD-Rom Appendix D: Properties of the Mean and the Variance of a Random Variable, and the Covariance Between Two Ramdon VariablesAppendix E: Derivations of the Mean and the Variance of the Sample Mean and of the Mean and the Variance of the Sample ProportionAppendix F: Cluster Sampling and Rations EstimationAppendix G: Using Matrix Algebra to perform Regression Calculations Appendix H: The Regression Approach to Two-Way Analysis of Variance Appendix I: Factor Analysis, Cluster Analysis, and Multidimensional Scaling Appendix J: The Box-Jenkins’ Methodology Appendix K: The Updating Equations for the Holt-Winters’ Models Appendix L: Individuals Charts and c Chartsts
5. Continuous Random Variables 6. Sampling Distributions 7. Confidence Intervals 8. Hypothesis Testing 9. Statistical Inferences Based on Two Samples 10. Experimental Design and Analysis of Variance 11. Simple Linear Regression Analysis 12. Multiple Regression 13. Model Diagnostics and Model Building 14. Time Series Forecasting 15. Process Improvement Using Control Charts 16. Nonparametric Methods 17. Chi-Square Tests 18. Decision Theory Appendix A: Statistical Tables Appendix B: Counting Rules Appendix C: The Hypergeometric Distribution Contents on CD-Rom Appendix D: Properties of the Mean and the Variance of a Random Variable, and the Covariance Between Two Ramdon VariablesAppendix E: Derivations of the Mean and the Variance of the Sample Mean and of the Mean and the Variance of the Sample ProportionAppendix F: Cluster Sampling and Rations EstimationAppendix G: Using Matrix Algebra to perform Regression Calculations Appendix H: The Regression Approach to Two-Way Analysis of Variance Appendix I: Factor Analysis, Cluster Analysis, and Multidimensional Scaling Appendix J: The Box-Jenkins’ Methodology Appendix K: The Updating Equations for the Holt-Winters’ Models Appendix L: Individuals Charts and c Chartsts
7. Confidence Intervals 8. Hypothesis Testing 9. Statistical Inferences Based on Two Samples 10. Experimental Design and Analysis of Variance 11. Simple Linear Regression Analysis 12. Multiple Regression 13. Model Diagnostics and Model Building 14. Time Series Forecasting 15. Process Improvement Using Control Charts 16. Nonparametric Methods 17. Chi-Square Tests 18. Decision Theory Appendix A: Statistical Tables Appendix B: Counting Rules Appendix C: The Hypergeometric Distribution Contents on CD-Rom Appendix D: Properties of the Mean and the Variance of a Random Variable, and the Covariance Between Two Ramdon VariablesAppendix E: Derivations of the Mean and the Variance of the Sample Mean and of the Mean and the Variance of the Sample ProportionAppendix F: Cluster Sampling and Rations EstimationAppendix G: Using Matrix Algebra to perform Regression Calculations Appendix H: The Regression Approach to Two-Way Analysis of Variance Appendix I: Factor Analysis, Cluster Analysis, and Multidimensional Scaling Appendix J: The Box-Jenkins’ Methodology Appendix K: The Updating Equations for the Holt-Winters’ Models Appendix L: Individuals Charts and c Chartsts
9. Statistical Inferences Based on Two Samples 10. Experimental Design and Analysis of Variance 11. Simple Linear Regression Analysis 12. Multiple Regression 13. Model Diagnostics and Model Building 14. Time Series Forecasting 15. Process Improvement Using Control Charts 16. Nonparametric Methods 17. Chi-Square Tests 18. Decision Theory Appendix A: Statistical Tables Appendix B: Counting Rules Appendix C: The Hypergeometric Distribution Contents on CD-Rom Appendix D: Properties of the Mean and the Variance of a Random Variable, and the Covariance Between Two Ramdon VariablesAppendix E: Derivations of the Mean and the Variance of the Sample Mean and of the Mean and the Variance of the Sample ProportionAppendix F: Cluster Sampling and Rations EstimationAppendix G: Using Matrix Algebra to perform Regression Calculations Appendix H: The Regression Approach to Two-Way Analysis of Variance Appendix I: Factor Analysis, Cluster Analysis, and Multidimensional Scaling Appendix J: The Box-Jenkins’ Methodology Appendix K: The Updating Equations for the Holt-Winters’ Models Appendix L: Individuals Charts and c Chartsts
11. Simple Linear Regression Analysis 12. Multiple Regression 13. Model Diagnostics and Model Building 14. Time Series Forecasting 15. Process Improvement Using Control Charts 16. Nonparametric Methods 17. Chi-Square Tests 18. Decision Theory Appendix A: Statistical Tables Appendix B: Counting Rules Appendix C: The Hypergeometric Distribution Contents on CD-Rom Appendix D: Properties of the Mean and the Variance of a Random Variable, and the Covariance Between Two Ramdon VariablesAppendix E: Derivations of the Mean and the Variance of the Sample Mean and of the Mean and the Variance of the Sample ProportionAppendix F: Cluster Sampling and Rations EstimationAppendix G: Using Matrix Algebra to perform Regression Calculations Appendix H: The Regression Approach to Two-Way Analysis of Variance Appendix I: Factor Analysis, Cluster Analysis, and Multidimensional Scaling Appendix J: The Box-Jenkins’ Methodology Appendix K: The Updating Equations for the Holt-Winters’ Models Appendix L: Individuals Charts and c Chartsts
13. Model Diagnostics and Model Building 14. Time Series Forecasting 15. Process Improvement Using Control Charts 16. Nonparametric Methods 17. Chi-Square Tests 18. Decision Theory Appendix A: Statistical Tables Appendix B: Counting Rules Appendix C: The Hypergeometric Distribution Contents on CD-Rom Appendix D: Properties of the Mean and the Variance of a Random Variable, and the Covariance Between Two Ramdon VariablesAppendix E: Derivations of the Mean and the Variance of the Sample Mean and of the Mean and the Variance of the Sample ProportionAppendix F: Cluster Sampling and Rations EstimationAppendix G: Using Matrix Algebra to perform Regression Calculations Appendix H: The Regression Approach to Two-Way Analysis of Variance Appendix I: Factor Analysis, Cluster Analysis, and Multidimensional Scaling Appendix J: The Box-Jenkins’ Methodology Appendix K: The Updating Equations for the Holt-Winters’ Models Appendix L: Individuals Charts and c Chartsts
15. Process Improvement Using Control Charts 16. Nonparametric Methods 17. Chi-Square Tests 18. Decision Theory Appendix A: Statistical Tables Appendix B: Counting Rules Appendix C: The Hypergeometric Distribution Contents on CD-Rom Appendix D: Properties of the Mean and the Variance of a Random Variable, and the Covariance Between Two Ramdon VariablesAppendix E: Derivations of the Mean and the Variance of the Sample Mean and of the Mean and the Variance of the Sample ProportionAppendix F: Cluster Sampling and Rations EstimationAppendix G: Using Matrix Algebra to perform Regression Calculations Appendix H: The Regression Approach to Two-Way Analysis of Variance Appendix I: Factor Analysis, Cluster Analysis, and Multidimensional Scaling Appendix J: The Box-Jenkins’ Methodology Appendix K: The Updating Equations for the Holt-Winters’ Models Appendix L: Individuals Charts and c Chartsts
17. Chi-Square Tests 18. Decision Theory Appendix A: Statistical Tables Appendix B: Counting Rules Appendix C: The Hypergeometric Distribution Contents on CD-Rom Appendix D: Properties of the Mean and the Variance of a Random Variable, and the Covariance Between Two Ramdon VariablesAppendix E: Derivations of the Mean and the Variance of the Sample Mean and of the Mean and the Variance of the Sample ProportionAppendix F: Cluster Sampling and Rations EstimationAppendix G: Using Matrix Algebra to perform Regression Calculations Appendix H: The Regression Approach to Two-Way Analysis of Variance Appendix I: Factor Analysis, Cluster Analysis, and Multidimensional Scaling Appendix J: The Box-Jenkins’ Methodology Appendix K: The Updating Equations for the Holt-Winters’ Models Appendix L: Individuals Charts and c Chartsts
Appendix A: Statistical Tables Appendix B: Counting Rules Appendix C: The Hypergeometric Distribution Contents on CD-Rom Appendix D: Properties of the Mean and the Variance of a Random Variable, and the Covariance Between Two Ramdon VariablesAppendix E: Derivations of the Mean and the Variance of the Sample Mean and of the Mean and the Variance of the Sample ProportionAppendix F: Cluster Sampling and Rations EstimationAppendix G: Using Matrix Algebra to perform Regression Calculations Appendix H: The Regression Approach to Two-Way Analysis of Variance Appendix I: Factor Analysis, Cluster Analysis, and Multidimensional Scaling Appendix J: The Box-Jenkins’ Methodology Appendix K: The Updating Equations for the Holt-Winters’ Models Appendix L: Individuals Charts and c Chartsts
Appendix C: The Hypergeometric Distribution Contents on CD-Rom Appendix D: Properties of the Mean and the Variance of a Random Variable, and the Covariance Between Two Ramdon VariablesAppendix E: Derivations of the Mean and the Variance of the Sample Mean and of the Mean and the Variance of the Sample ProportionAppendix F: Cluster Sampling and Rations EstimationAppendix G: Using Matrix Algebra to perform Regression Calculations Appendix H: The Regression Approach to Two-Way Analysis of Variance Appendix I: Factor Analysis, Cluster Analysis, and Multidimensional Scaling Appendix J: The Box-Jenkins’ Methodology Appendix K: The Updating Equations for the Holt-Winters’ Models Appendix L: Individuals Charts and c Chartsts
Appendix D: Properties of the Mean and the Variance of a Random Variable, and the Covariance Between Two Ramdon VariablesAppendix E: Derivations of the Mean and the Variance of the Sample Mean and of the Mean and the Variance of the Sample ProportionAppendix F: Cluster Sampling and Rations EstimationAppendix G: Using Matrix Algebra to perform Regression Calculations Appendix H: The Regression Approach to Two-Way Analysis of Variance Appendix I: Factor Analysis, Cluster Analysis, and Multidimensional Scaling Appendix J: The Box-Jenkins’ Methodology Appendix K: The Updating Equations for the Holt-Winters’ Models Appendix L: Individuals Charts and c Chartsts
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