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Essentials of Business Statistics: 2026 Release ISE
McGraw Hill (Publisher)
4th Edition
Published on 13. February 2026
Book
Paperback/Softback
978-1-265-61073-9 (ISBN)
Unfortunately, price unknown
Available (delivery time upon request)
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Description
Essentials of Business Statistics is your go-to resource for mastering the modern one-semester business statistics course. Designed to meet the evolving needs of both instructors and students, this title integrates Excel as a central teaching tool, offering cutting-edge features like enhanced Integrated Excel content, new graphing functionalities, and practical, relatable examples that bring statistics to life. With threaded case studies, technical writing exercises, and a focus on predictive and prescriptive analytics, it empowers educators to deliver engaging lessons while preparing students for real-world business challenges.
More details
Language
English
Place of publication
United States
Publishing group
Open University Press
Weight
973 gr
ISBN-13
978-1-265-61073-9 (9781265610739)
Persons
Author
Sanjiv Jaggia is a professor of economics and finance at California Polytechnic State University in San Luis Obispo. Dr. Jaggia holds a Ph.D. from Indiana University and is a Chartered Financial Analyst (CFA®). He enjoys research in statistics and data analytics applied to a wide range of business disciplines. Dr. Jaggia has published numerous papers in leading academic journals and has co-authored three successful textbooks, two in business statistics and one in business analytics. His ability to communicate in the classroom has been acknowledged by several teaching awards. Dr. Jaggia resides in San Luis Obispo with his wife and daughter. In his spare time, he enjoys cooking, hiking, and listening to a wide range of music.
Alison Kelly is a professor of economics at Suffolk University in Boston. Dr. Kelly holds a Ph.D. from Boston College and is a Chartered Financial Analyst (CFA®). Dr. Kelly has published in a wide variety of academic journals and has co-authored three successful textbooks, two in business statistics and one in business analytics. Her courses in applied statistics and econometrics are popular with students as well as working professionals. She has also served as a consultant for a number of companies; her most recent work focused on how large financial institutions satisfy requirements mandated by the Dodd-Frank Act. Dr. Kelly resides in Hamilton, Massachusetts, with her husband, daughter, and son. In her spare time, she enjoys exercising and gardening.
Content
1. Data and Data Preparation
2. Data Visualization
3. Numerical Descriptive Measures
4. Introduction to Probability
5. Discrete Probability Distributions
6. Continuous Probability Distributions
7. Sampling and Sampling Distributions
8. Interval Estimation
9. Hypothesis Testing
10. Comparisons involving Means
11. Comparisons involving Proportions
12. Regression Analysis
13. More Topics in Regression Analysis
14. Forecasting with Time Series Data
Appendix
A: Big Data Sets: Variable Description and Data Dictionary
B: Getting Started with Excel
2. Data Visualization
3. Numerical Descriptive Measures
4. Introduction to Probability
5. Discrete Probability Distributions
6. Continuous Probability Distributions
7. Sampling and Sampling Distributions
8. Interval Estimation
9. Hypothesis Testing
10. Comparisons involving Means
11. Comparisons involving Proportions
12. Regression Analysis
13. More Topics in Regression Analysis
14. Forecasting with Time Series Data
Appendix
A: Big Data Sets: Variable Description and Data Dictionary
B: Getting Started with Excel