This book has been written and designed to provide an uncluttered and calm reading experience. It also addresses a common difficulty in learning statistics, in which topics introduced in different chapters can appear unrelated, leaving students with the impression that they must learn a succes sion of distinct procedures. In this book, I emphasize the principles that connect the material. These principles serve as unifying building blocks across the chapters and help students approach new topics through a coherent statistical lens. The chapters are written to make the structure of statistical reasoning visible. Ideas introduced early in the book return in later contexts with greater specificity.
The book’s organizing logic follows from this position. A core issue in statistical reasoning is the distinction between an observed difference and a statistical difference. Some differences indicate meaningful patterns; others are consistent with ordinary sampling variability. The sampling distribution links the observed data to inference from evidence. With this link in place, confidence intervals, hypothesis tests, regression estimates, forecasts, and decision models can be understood as related forms of reasoning from the limited information.
The term guide is deliberate. The book is intended to provide a path through the central logic of business statistics, not an exhaustive reference for every statistical technique. Its coverage moves from description, probability, and sampling to inference, modeling, forecasting, and critical interpre tation, with emphasis placed on the connections among these areas. The book is also written to work in conjunction with the instructor. It provides continuity, structure, and conceptual grounding while leaving room for classroom explanation, software demonstration, applied examples, and fur ther development. The exercises follow the same orientation. They ask students to perform calculations where needed and to explain, interpret, compare, justify, and reason from the evidence.
Part 1: Foundations of Business Statistics
Chapter 1: Introduction to Business Statistics and Data-Informed Decision-Making
Chapter 2: Descriptive Statistics: Understanding and Summarizing Data
Chapter 3: Probability and Sampling in Business Statistics
Part 2: Inferential Statistics for Business
Chapter 4: Statistical Decision-Making in Business: Confidence Intervals and Hypothesis Testing
Chapter 5: Analysis of Categorical Data and Risk Assessment
Part 3: Statistical Modeling for Explanation and Prediction
Chapter 6: Introduction to Regression Analysis
Chapter 7: Multiple Linear Regression Analysis and Model Refinements
Chapter 8: Time Series and Business Forecasting
Part 4: Integration and Critical Reasoning in Business Statistics
Chapter 9: Research Methods for Business Inquiry
Chapter 10: Statistical Fallacies and Business Decision-Making
Rickard
Enstroem
Dr. Rickard Enstroem is an Associate Professor of Decision Sciences at MacEwan University, Canada. He teaches statistics, business analytics, decision-making, and computational thinking, and led the creation of MacEwan’s Bachelor of Commerce Minor in Business Intelligence. His teaching stresses statistical reasoning, interpretation, and the movement from data to information as a basis for understanding how quantitative evidence informs managerial judgment.
He holds a PhD in Marketing from the University of Alberta, an MSt in Interdisciplinary Design for the Built Environment from the University of Cambridge, and engineering degrees from KTH Royal Institute of Technology in Sweden, with additional studies in economics at Stockholm University.
Dr. Enstroem’s research examines how professionals and organizations develop judgment and capability in data-rich and technology-mediated environments. His work has appeared in journals such as Management Learning, International Studies of Management & Organization, Journal of Organizational Change Management, and International Journal of Organizational Analysis. He has served as Chair of the Department of Decision Sciences and holds editorial roles, including Co-Editor-in-Chief of Leadership & Organization Development Journal, Associate Editor of the Journal of Management Development, and Associate Editor of the Journal of Academic Ethics.