Business statistics : a first course

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Bibliographic Information

Business statistics : a first course

David M. Levine, Kathryn A. Szabat, David F. Stephan

Pearson, c2020

8th ed., global ed

Available at  / 2 libraries

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Note

Includes bibliographical references and index

Description and Table of Contents

Description

For one-semester business statistics courses. A focus on using statistical methods to analyse and interpret results to make data-informed business decisions Statistics is essential for all business majors, and Business Statistics: A First Course helps students see the role statistics will play in their own careers by providing examples drawn from all functional areas of business. Guided by the principles set forth by major statistical and business science associations (ASA and DSI), plus the authors' diverse experiences, the 8th Edition, Global Edition, continues to innovate and improve the way this course is taught to all students. With new examples, case scenarios, and problems, the text continues its tradition of focusing on the interpretation of results, evaluation of assumptions, and discussion of next steps that lead to data-informed decision making. The authors feel that this approach, rather than a focus on manual calculations, better serves students in their future careers. This brief offering, created to fit the needs of a one-semester course, is part of the established Berenson/Levine series.

Table of Contents

First Things First 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 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) Self-Test Solutions and Answers to Selected Even-Numbered Problems

by "Nielsen BookData"

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