Develop a strong conceptual understanding of statistics and its importance in business today. MODERN BUSINESS STATISTICS WITH MICROSOFT® EXCEL®, 7E balances real-world applications with an integrated focus on the latest version of Microsoft® Excel®. This best-selling, comprehensive edition clearly develops each statistical technique in an application setting. You master statistical methodology with an easy-to-follow presentation of a statistical procedure followed by a discussion of how to use Excel® to perform the procedure. Step-by-step instructions and screen images reinforce…mehr
Develop a strong conceptual understanding of statistics and its importance in business today. MODERN BUSINESS STATISTICS WITH MICROSOFT® EXCEL®, 7E balances real-world applications with an integrated focus on the latest version of Microsoft® Excel®. This best-selling, comprehensive edition clearly develops each statistical technique in an application setting. You master statistical methodology with an easy-to-follow presentation of a statistical procedure followed by a discussion of how to use Excel® to perform the procedure. Step-by-step instructions and screen images reinforce understanding.More than 160 new business examples, proven methods, and application exercises show how statistics provide insights into business decisions and problems. A problem-scenario approach emphasizes how to apply statistical methods to practical business situations. New case problems let you check your understanding, while MindTap digital resources help you master Excel®, Excel Online, and R.Hinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.
David R. Anderson is a leading author and professor emeritus of quantitative analysis in the College of Business Administration at the University of Cincinnati. Dr. Anderson has served as head of the Department of Quantitative Analysis and Operations Management and as associate dean of the College of Business Administration. He was also coordinator of the college's first executive program. In addition to introductory statistics for business students, Dr. Anderson taught graduate-level courses in regression analysis, multivariate analysis and management science. He also taught statistical courses at the Department of Labor in Washington, D.C. Dr. Anderson has received numerous honors for excellence in teaching and service to student organizations. He is the co-author of ten well-respected textbooks related to decision sciences and he actively consults with businesses in the areas of sampling and statistical methods. Born in Grand Forks, North Dakota, Dr. Anderson earned his B.S., M.S. and Ph.D. degrees from Purdue University.
Inhaltsangabe
1. Data and Statistics.2. Descriptive Statistics: Tabular and Graphical Displays.3. Descriptive Statistics: Numerical Measures.4. Introduction to Probability.5. Discrete Probability Distributions.6. Continuous Probability Distributions.7. Sampling and Sampling Distributions.8. Interval Estimation.9. Hypothesis Tests.10. Statistical Inferences About Means and Proportions with Two Populations.11. Inferences About Population Variances.12. Comparing Multiple Proportions, Test of Independence and Goodness of Fit.13. Experimental Design and Analysis of Variance.14. Simple Linear Regression.15. Multiple Regression.16. Regression Analysis: Model Building.17. Time Series Analysis and Forecasting.18. Nonparametric Methods.19. Statistical Methods for Quality Control.20. Decision Analysis (online).21. Sample Survey (online).Appendix A: References and Bibliography.Appendix B: Tables.Appendix C: Summation Notation.Appendix D: Self-Test Solutions and Answers to Even-Numbered Exercises (online).Appendix E: Microsoft Excel 2016 and Tools for Statistical Analysis.
1. Data and Statistics.2. Descriptive Statistics: Tabular and Graphical Displays.3. Descriptive Statistics: Numerical Measures.4. Introduction to Probability.5. Discrete Probability Distributions.6. Continuous Probability Distributions.7. Sampling and Sampling Distributions.8. Interval Estimation.9. Hypothesis Tests.10. Statistical Inferences About Means and Proportions with Two Populations.11. Inferences About Population Variances.12. Comparing Multiple Proportions, Test of Independence and Goodness of Fit.13. Experimental Design and Analysis of Variance.14. Simple Linear Regression.15. Multiple Regression.16. Regression Analysis: Model Building.17. Time Series Analysis and Forecasting.18. Nonparametric Methods.19. Statistical Methods for Quality Control.20. Decision Analysis (online).21. Sample Survey (online).Appendix A: References and Bibliography.Appendix B: Tables.Appendix C: Summation Notation.Appendix D: Self-Test Solutions and Answers to Even-Numbered Exercises (online).Appendix E: Microsoft Excel 2016 and Tools for Statistical Analysis.
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