Statistics for Business & Economics, Global Edition -- MyLab Statistics with Pearson eText

James T. McClave, P. Benson, Terry Sincich (Autoren)

Online Resource

2023 | 14th edition
Pearson (Hersteller)
978-0-6557-1260-2 (ISBN)

Infos

For courses in Introductory Business Statistics. 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.

Autor

Dr. Jim McClave is currently President and CEO of Info Tech, Inc., a statistical consulting and software development firm with an international clientele. He is also a Courtesy Professor of Statistics at the University of Florida, where he was a full-time member of the faculty for over 20 years. Dr. Terry Sincich obtained his PhD in Statistics from the University of Florida in 1980. He is a Professor Emeritus of the Information Systems & Decision Sciences Department at the University of South Florida in Tampa, where he was responsible for teaching basic statistics to all undergraduates, as well as advanced statistics to all doctoral candidates, in the College of Business Administration.

Inhalt

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 Confidence Intervals
7. Inferences Based on a Single Sample: Tests of Hypotheses
8. Inferences Based on Two Samples: Confidence Intervals and Tests of 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
Appendix D: Tables  
Answers to Selected Exercises

Produkt-Details

• Erscheint lt. Verlag: 9.2.2023
• Sprache: englisch
• ISBN-10: 0-6557-1260-7 / 0655712607
• ISBN-13: 978-0-6557-1260-2 / 9780655712602
• Zustand: Neuware