Statistics for Business and Economics introduces statistics in the context of contemporary business. Emphasising statistical literacy in thinking, the text applies its concepts with real data and uses technology to develop a deeper conceptual understanding. Examples, activities, and case studies foster active learning in the classroom while emphasising intuitive concepts of probability and teaching students to make informed business decisions. The 14th Edition continues to highlight the importance of ethical behaviour in collecting, interpreting, and reporting on data, while also providing a wealth of new and updated exercises and case studies.…mehr
Statistics for Business and Economics introduces statistics in the context of contemporary business. Emphasising statistical literacy in thinking, the text applies its concepts with real data and uses technology to develop a deeper conceptual understanding. Examples, activities, and case studies foster active learning in the classroom while emphasising intuitive concepts of probability and teaching students to make informed business decisions. The 14th Edition continues to highlight the importance of ethical behaviour in collecting, interpreting, and reporting on data, while also providing a wealth of new and updated exercises and case studies.
Dr. Jim McClave is currently President and CEO ofInfo Tech, Inc., a statistical consulting and software development firm with aninternational clientele. He is also a Courtesy Professor ofStatistics at the University of Florida, where he was a full-time member of thefaculty for over 20 years. Dr. Terry Sincich obtained his PhD inStatistics from the University of Florida in 1980. He is a ProfessorEmeritus of the Information Systems & Decision SciencesDepartment at the University of South Florida in Tampa, where hewas responsible for teaching basic statistics to all undergraduates, aswell as advanced statistics to all doctoral candidates, in the College ofBusiness Administration. He has published articles in such journals asthe Journal of the American Statistical Association, InternationalJournal of Forecasting, Academy of Management Journal,and Auditing: A Journal of Practice & Theory.Dr. Sincich is a co-author of the texts: Statistics, Statisticsfor Business & Economics, Statistics for Engineering & theSciences, and A Second Course in Statistics: Regression Analysis.
Inhaltsangabe
1. Statistics, Data, and Statistical Thinking 2. Methods for Describing Sets of Data 3. Probability 4. Random Variables and Probability Distributions 5. Sampling Distributions 6. Inferences Based on a Single Sample: Estimation with ConfidenceIntervals 7. Inferences Based on a Single Sample: Tests of Hypotheses 8. Inferences Based on Two Samples: Confidence Intervals and Testsof Hypotheses 9. Design of Experiments and Analysis of Variance 10. Categorical Data Analysis 11. Simple Linear Regression 12. Multiple Regression and Model Building 13. Methods for Quality Improvement: Statistical Process Control(Available Online) 14. Time Series: Descriptive Analyses, Models, and Forecasting(Available Online) 15. Nonparametric Statistics (Available Online)
Appendix A: Summation Notation Appendix B: Basic Counting Rules Appendix C: Calculation Formulas for Analysis of Variance C.1 Formulas for the Calculationsin the Completely Randomized Design C.2 Formulas for the Calculationsin the Randomized Block Design C.3 Formulas for the Calculationsfor a Two-Factor Factorial Experiment C.4 Tukey's Multiple ComparisonsProcedure (Equal Sample Sizes) C.5 Bonferroni MultipleComparisons Procedure (Pairwise Comparisons) C.6 Scheffé's MultipleComparisons Procedure (Pairwise Comparisons) Appendix D: Tables
1. Statistics, Data, and Statistical Thinking 2. Methods for Describing Sets of Data 3. Probability 4. Random Variables and Probability Distributions 5. Sampling Distributions 6. Inferences Based on a Single Sample: Estimation with ConfidenceIntervals 7. Inferences Based on a Single Sample: Tests of Hypotheses 8. Inferences Based on Two Samples: Confidence Intervals and Testsof Hypotheses 9. Design of Experiments and Analysis of Variance 10. Categorical Data Analysis 11. Simple Linear Regression 12. Multiple Regression and Model Building 13. Methods for Quality Improvement: Statistical Process Control(Available Online) 14. Time Series: Descriptive Analyses, Models, and Forecasting(Available Online) 15. Nonparametric Statistics (Available Online)
Appendix A: Summation Notation Appendix B: Basic Counting Rules Appendix C: Calculation Formulas for Analysis of Variance C.1 Formulas for the Calculationsin the Completely Randomized Design C.2 Formulas for the Calculationsin the Randomized Block Design C.3 Formulas for the Calculationsfor a Two-Factor Factorial Experiment C.4 Tukey's Multiple ComparisonsProcedure (Equal Sample Sizes) C.5 Bonferroni MultipleComparisons Procedure (Pairwise Comparisons) C.6 Scheffé's MultipleComparisons Procedure (Pairwise Comparisons) Appendix D: Tables
Answers to Selected Exercises Index Credits
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