Basic Business Statistics, Global Edition, 14th edition

Published by Pearson (March 13, 2019) © 2020

  • Mark L. Berenson Zicklin School of Business, City University of New York; Montclair State University
  • David M. Levine Baruch College, City University of New York
  • Kathryn A. Szabat La Salle University
  • David F. Stephan Two Bridges Instructional Technology

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Title overview

For one- or-two-semester courses in business statistics.

Give students the statistical foundation to hone their analysis skills for real-world decisions

Basic Business Statistics helps students see the essential role that statistics will play in their future careers by using examples drawn from all functional areas of real-world business. Guided by principles set forth by ASA’s Guidelines for Assessment and Instruction (GAISE) reports and the authors’ diverse teaching experiences, the text continues to innovate and improve the way this course is taught to students. The 14th Edition includes new and updated resources and tools to enhance students’ understanding, and provides the best framework for learning statistical concepts.

MyLabTM Business Statistics is not included. Students, if MyLab Business Statistics is a recommended/mandatory component of the course, please ask your instructor for the correct ISBN. MyLab Business Statistics should only be purchased when required by an instructor. Instructors, contact your Pearson representative for more information.

Reach every student by pairing this text with MyLab Business Statistics

MyLabTM is the teaching and learning platform that empowers you to reach every student. By combining trusted author content with digital tools and a flexible platform, MyLab personalizes the learning experience and improves results for each student.

Table of contents

First Things First (online)

 

1. Defining and Collecting Data

2. Organizing and Visualizing Variables

3. Numerical Descriptive Measures

4. Basic Probability

5. Discrete Probability Distributions

6. The Normal Distribution and Other Continuous Distributions

7. Sampling Distributions

8. Confidence Interval Estimation

9. Fundamentals of Hypothesis Testing: One-Sample Tests

10. Two-Sample Tests

11. Analysis of Variance

12. Chi-Square and Nonparametric Tests

13. Simple Linear Regression

14. Introduction to Multiple Regression

15. Multiple Regression Model Building

16. Time-Series Forecasting

17. Business Analytics

18. Getting Ready to Analyze Data in the Future

19. Statistical Applications in Quality Management (online)

20. Decision Making (online)

 

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