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1. What is Statistics? Introduction to Statistics. Key Statistical Concepts. How Managers Use Statistics. Statistics and the Computer. PART ONE: DESCRIPTIVE TECHNIQUES AND PROBABILITY. 2. Graphical Descriptive Techniques. Introduction. Types of Data. Graphical Techniques for Quantitative Data. Scatter Diagrams. Pie Charts, Bar Charts, and Line Charts. Summary. Case 2.1 Pacific Salmon Catches. Case 2.2 Bombardier Inc. Case 2.3 The North American Free Trade Agreement (NAFTA). Appendix 2.A Minitab Instructions. Appendix 2.B Excel Instructions. 3. Art and Science of Graphical Presentations. Introduction. Graphical Excellence. Graphical Deception. Summary. Case 3.1 Canadian Federal Budget. 4. Numerical Descriptive Measures. Introduction. Measures of Central Location. Measures of Variability. Interpreting Standard Deviation. Measures of Relative Standing and Box Plots. Measures of Association. General Guidelines on the Exploration of Data. Summary. Appendix 4.A Minitab Instructions. Appendix 4.B Summation Notation. 5. Data Collection and Sampling. Introduction. Sources of Data. Sampling. Sampling Plans. Errors Involved in Sampling. Use of Sampling in Auditing. Summary. 6. Probability and Discrete Probability Distributions. Introduction. Assigning Probabilities to Events. Probability Rules and Trees. Random Variables and Probability Distributions. Expected Value and Variance. Bivariate Distributions. Binomial Distribution. Poisson Distribution. Summary. Case 6.1 Let''s Make a Deal. Case 6.2 Gains from Market Timing. Case 6.3 Calculating Probabilities Associated with the Stock Market. Appendix 6.A Minitab Instructions. Appendix 6.B Excel Instructions. 7. Continuous Probability Distributions. Introduction. Continuous Probability Distributions. Normal Distribution. Exponential Distribution. Summary. Appendix 7.A Minitab Instructions. Appendix 7.B Excel Instructions. PART TWO: STATISTICAL INFERENCE. 8. Sampling Distributions. Introduction. Sampling Distribution of the Mean. Summary. 9. Introduction to Estimation. Introduction. Concepts of Estimation. Estimating the Population Mean When the Population Variance Is Known. Selecting the Sample Size. Summary. Appendix 9.A Minitab Instructions. Appendix 9.B Excel Instructions. 10. Introduction to Hypothesis Testing. Introduction. Concepts of Hypothesis Testing. Testing the Population Mean When the Population Variance Is Known. The p-Value of a Test of Hypothesis. Calculating the Probability of a Type II Error. The Road Ahead. Summary. Appendix 10.A Minitab Instructions. Appendix 10.B Excel Instructions. 11. Inference about the Description of a Single Population. Introduction. Inference about a Population Mean When the Population Variance Is Unknown. Inference about a Population Variance. Inference about a Population Proportion. The Myth of the Law of Averages. Summary. Case 11.1 Number of Uninsured Motorists. Case 11.2 National Patient Development Corporation. Appendix 11.A Minitab Instructions. Appendix 11.B Excel Instructions. 12. Inference about the Comparison of Two Populations. Introduction. Inference about the Difference between Two Means: Independent Samples. Observational and Experimental Data. Inference about the Difference between Two Means: Matched Pairs Experiment. Inference about the Ratio of Two Variances. Inference about the Difference between Two Population Proportions. Summary. Case 12.1 Specialty Advertising Recall. Case 12.2 Bonanza International. Case 12.3 Accounting Course Exemptions. Appendix 12.A Minitab Instructions. Appendix 12.B Excel Instructions. 13. Comparing Two Populations: Nonparametric Statistics. Introduction. Wilcoxon Rank Sum Test for Independent Samples. Sign Test. Wilcoxon Signed Rank Sum Test for Matched Pairs. Cautionary Note about Nonparametric Techniques. Summary. Case 13.1 Capitalization Ratios in the United States and Japan. Case 13.2 Effects of Gender on Worker Evaluations. Appendix 13.A Minitab Instructions. 14. Statistical Inference: A Review of Chapters 11 through 13. Introduction. Guide to Identifying the Correct Technique: Chapters 11 Through 13. Case 14.1 Effect of the Death of Key Executives on Stock Market Returns. Case 14.2 Host Selling and Announcer Commercials. Case 14.3 Maastricht Treaty. Case 14.4 Texaco''s Seasonal Promotions. Appendix 14.A Manipulating the Data. 15. Analysis of Variance. Introduction. Single-Factor (One-Way) Analysis of Variance: Independent Samples. Analysis of Variance Models. Single-Factor Analysis of Variance: Randomized Blocks. Two-Factor Analysis of Variance: Independent Samples. Multiple Comparisons. Summary. Case 15.1 Effects of Financial Planning on Small Business. Case 15.2 Diversification Strategy for Multinational Companies. Appendix 15.A Minitab Instructions. Appendix 15.B Excel Instructions. 16. Nonparametric Techniques: Comparing Two or More Populations. Introduction. Kruskal-Wallis Test. Friedman Test. Summary. Case 16.1 HR Information Systems Inc. Case 16.2 Bank of Commerce Customer Survey. Appendix 16.A Minitab Instructions. 17. Additional Tests for Qualitative Data. Introduction. Chi-Squared Test of a Multinominal Experiment. Chi-Squared Test of a Contingency Table. Summary of Tests on Qualitative Data. Summary. Case 17.1 Predicting the Outcomes of Basketball, Baseball, Football, and Hockey Games from Intermediate Scores. Case 17.2 Can Exposure to a Code of Professional Ethics Help Make Managers More Ethical? Appendix 17.A Minitab Instructions. 18. Statistical Inference: A Review of Chapters 11 through 17. Case 18.1 Underpricing in Initial Public Offerings. Case 18.2 PC Magazine Survey. Case 18.3 Quebec Separation: Oui ou non? Case 18.4 Graduate Survey Report. Case 18.5 Evaluation of a New Drug. Case 18.6 Ambulance and Fire Department Response Interval Survey. 19. Simple Linear Regression and Correlation. Introduction. Model. Least Squares Method. Error Variable: Required Conditions. Assessing the Model. Using the Regression Equation. Coefficients of Correlation. Regression Diagnostics-I. Summary. Case 19.1 Market Model of Stock Returns. Case 19.2 Duxbury Press. Case 19.3 Predicting University Grades from High School Grades. Appendix 19.A Minitab Instructions. Appendix 19.B Excel Instructions. 20. Multiple Regression. Introduction. Model and Required Conditions. Estimating the Coefficients and Assessing the Model. Regression Diagnostics-II. Regression Diagnostics-III (Time Series). Summary. Case 20.1 Duxbury Press Revisited. Case 20.2 Analysis of the Factors that Determine which Baseball Team Wins. Appendix 20.A Minitab Instructions. Appendix 20.B Excel Instructions. 21. Model Building. Introduction. Polynomial Regression Models. Qualitative Independent Variables. Regression and the Analysis of Variance. Variable Selection Models. Model Building. Summary. Case 21.1 Challenger Disaster. Case 21.2 Track and Field Performance Forecasts. Appendix 21.A Minitab Instructions. 22. Time-Series Analysis and Forecasting. Introduction. Components of a Time-Series. Smoothing Techniques. Trend Analysis. Measuring the Cyclical Effect. Measuring the Seasonal Effect. Introduction to Forecasting. Time-Series Forecasting with Exponential Smoothing. Time- Series Forecasting with Regression. Summary. Appendix 22.A Minitab Instructions. Appendix 22.B Excel Instructions. PART THREE: APPLICATIONS. 23. Statistical Process Control. Introduction. Process Variation. Control Charts for Variables: x [overbar] and S Charts. Control Charts for Variables: x [overbar] and R Charts. Control Chart for Attributes: p Chart. Summary. Appendix 23.A Minitab Instructions. 24. Statistical Inference: Conclusion. Introduction. Identifying the Correct Technique: Summary of Statistical Inference. Case 24.1 Do Banks Discriminate against Women Business Owners?-I. Case 24.2 Do Banks Discriminate against Women Business Owners?-II. The Last Word. Case 24.3 Insurance Compensation for Lost Revenues. Case 24.4 Perceptions of North American Companies Doing Business in South America. Case 24.5 Unitel''s Customer Satisfaction Survey. Case 24.6 Nutrition Education Programs. Case 24.7 Student Surrogates in Market Research. Case 24.8 Do Banks Discriminate against Women Business Owners?-III. Appendix A: Answers to Selected Even-Numbered Exercises. Appendix B: Tables. Index. A Guide to Statistical Inference. Index of Computer Instructions.

Library of Congress subject headings for this publication:

Management -- Statistical methods.

Economics -- Statistical methods.