Introductory Business Statistics with Interactive Spreadsheets – 1st Canadian Edition
Mohammad Mahbobi, Thompson Rivers University
Thomas Tiemann, Elon University
Pub Date: 2010
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Table of Contents
About the Book
- Chapter 1. Descriptive Statistics and Frequency Distributions
- Chapter 2. The Normal and t-Distributions
- Chapter 3. Making Estimates
- Chapter 4. Hypothesis Testing
- Chapter 5. The t-Test
- Chapter 6. F-Test and One-Way ANOVA
- Chapter 7. Some Non-Parametric Tests
- Chapter 8. Regression Basics
Appendix: Interactive Spreadsheets - Editable
About the Authors
About the Book
Introductory Business Statistics with Interactive Spreadsheets – 1st Canadian Edition is an adaptation of Thomas K. Tiemann’s book, Introductory Business Statistics. This new edition still contains the basic ideas behind statistics, such as populations, samples, the difference between data and information, and sampling distributions as well as information on descriptive statistics and frequency distributions, normal and t-distributions, hypothesis testing, t-tests, f-tests, analysis of variance, non-parametric tests, and regression basics. New topics include the chi-square test and categorical variables, null and alternative hypotheses for the test of independence, simple linear regression model, least squares method, coefficient of determination, confidence interval for the average of the dependent variable, and prediction interval for a specific value of the dependent variable.
This new edition also allows readers to learn the basic and most commonly applied statistical techniques in business in an interactive way — when using the web version — through interactive Excel spreadsheets. For each topic, a customized interactive template has been created within which selected values can be repeatedly changed to observe how the entire process, as well as the outcomes, are automatically adjusted.
Also, in this adapted edition, the real-world examples throughout the text, and the information in general, have been revised to reflect Canadian content.
About the Contributors
Mohammad Mahbobi is a faculty of Economics at the School of Business and Economics, Thompson Rivers University (TRU) in British Columbia, Canada. He earned a B.Sc. in Economics, and a MSc. in Economic Systems Analysis from Shahid Beheshti University (formerly known as National University of Iran), and a Ph.D. from University of Saskatchewan, Canada. For over 25 years, he has been teaching statistics and econometrics for Economics and Business students.
Thomas K.Tiemann is Jefferson Pilot Professor of Economics at Elon University in North Carolina, USA. He earned an AB in Economics at Dartmouth College and a PhD at Vanderbilt University. He has been teaching basic business and economics statistics for over 30 years, and tries to take an intuitive approach, rather than a mathematical approach, when teaching statistics. He started working on this book 15 years ago, but got sidetracked by administrative duties. He hopes that this intuitive approach helps students around the world better understand the mysteries of statistics.