9780134506593

For courses in Introductory Business Statistics.

Real Data. Real Decisions. Real Business.

Now in its Thirteenth Edition, Statistics for Business and Economics introduces statistics in the context of contemporary business. Emphasizing 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 while emphasizing intuitive concepts of probability and teaching readers to make informed business decisions. The Thirteenth Edition continues to highlight the importance of ethical behavior in collecting, interpreting, and reporting on data, while also providing a wealth of new and updated exercises and case studies.

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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 currently an Adjunct Professor of Statistics at the University of Florida, where he was a full-time member of the faculty for twenty years.

Dr. Terry Sincich obtained his PhD in Statistics from the University of Florida in 1980. He is an Associate Professor in the Information Systems & Decision Sciences Department at the University of South Florida in Tampa. Dr. Sincich is responsible for teaching basic statistics to all undergraduates, as well as advanced statistics to all doctoral candidates, in the College of Business Administration. He has published articles in such journals as the Journal of the American Statistical Association, International Journal of Forecasting, Academy of Management Journal, and Auditing: A Journal of Practice & Theory. Dr. Sincich is a co-author of the texts Statistics, Statistics for Business & Economics, Statistics for Engineering & the Sciences, and A Second Course in Statistics: Regression Analysis.

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)

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Statistics for Business and Economics

Statistics for Business and Economics

0134506596

Summary

Author Biography

Table of Contents

Supplemental Materials