Library:
Madrid
London
Paris Champerret
Paris Montparnasse
Turin
- Item type
- Ebook
- Language
- English
- Publication year
- 2019
- Edition no.
- 13th ed., Global ed.
- ISBN
- 978-1-292-22707-8
- Note
- ACCESS limits : 16 simultaneous on Vlebooks
Real Data. Real Decisions. Real Business.
Now in its 13th 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 in the classroom while emphasizing intuitive concepts of probability and teaching students to make informed business decisions. The 13th 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.
Pearson MyLabTM Statistics not included. Students, if MyLab is a recommended/mandatory component of the course, please ask your instructor for the correct ISBN and course ID. MyLab should only be purchased when required by an instructor. Instructors, contact your Pearson rep for more information.
MyLab is an online homework, tutorial, and assessment platform designed to personalize learning and improve results. With a wide range of interactive, engaging, and assignable activities, students are encouraged to actively learn and retain tough course concepts.
TABLE OF CONTENTS -- 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).