ISE Essentials of Business Statistics Using Excel
2026 Release
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About This Book
This textbook provides a comprehensive introduction to business statistics, specifically tailored for students using Microsoft Excel as their primary analytical tool. It covers descriptive statistics, probability, sampling distributions, hypothesis testing, and regression analysis, emphasizing practical application in business decision-making contexts.
Book Review | Amerbach
This book serves as a focused pedagogical resource for students navigating the intersection of statistical theory and modern business application. By centering the curriculum on Microsoft Excel, the authors ensure that learners develop technical proficiency alongside conceptual understanding. The scope of the work is broad, encompassing the foundational pillars of descriptive statistics, probability theory, and inferential methods, while maintaining a consistent focus on how these tools inform managerial decision-making. The organization of the material is logical, moving from data visualization and summary measures into more complex topics such as hypothesis testing and regression analysis. A notable characteristic of this book is its integration of Excel-based examples, which allows students to bridge the gap between abstract mathematical formulas and real-world data processing. The authors prioritize clarity, ensuring that the technical requirements of the software do not overshadow the statistical principles being taught. The depth of coverage is appropriate for an introductory course, providing enough rigor to establish a solid foundation without overwhelming the reader with excessive theoretical proofs. The inclusion of business-oriented case studies and datasets provides a practical context that is essential for students preparing for careers in data-driven environments. From an academic perspective, this book occupies a vital space in the undergraduate business curriculum. It is designed to be accessible to students who may have varying levels of mathematical background, provided they are willing to engage with the software-based exercises. The structured approach to problem-solving, combined with the emphasis on interpreting output rather than just calculating results, aligns well with contemporary pedagogical trends in business education. Ultimately, this book functions as a reliable guide for students who need to master the practical application of statistics in a professional setting, offering a balanced blend of theory and technical utility that is well-suited for the modern classroom.
Academic Use
Introductory Business Statistics courses
Who Is It For?
Undergraduate business students requiring a practical, software-based approach to statistical analysis.
Table of Contents
- 1. Data and Statistics
- 2. Descriptive Statistics: Tabular and Graphical Methods
- 3. Descriptive Statistics: Numerical Methods
- 4. Probability
- 5. Discrete Probability Distributions
- 6. Continuous Probability Distributions
- 7. Sampling and Sampling Distributions
- 8. Interval Estimation
- 9. Hypothesis Testing
- 10. Statistical Inference about Means and Proportions with Two Populations
- 11. Inferences about Population Variances
- 12. Comparing Multiple Proportions, Test of Independence and Goodness of Fit
- 13. Experimental Design and Analysis of Variance
- 14. Simple Linear Regression
- 15. Multiple Regression.