Statistics for Managers Using Microsoft Excel, 8th Edition

Making Business Statistics Practical with Excel

Statistics for Managers Using Microsoft Excel, 8th Edition places Microsoft Excel at the center of modern business analytics. Rather than treating statistics as a purely theoretical subject, authors David M. Levine, David F. Stephan, and Kathryn A. Szabat show how spreadsheets can turn raw data into clear, actionable insights for managers and business students alike.

The eighth edition builds on a proven approach that emphasizes analytical skills over arithmetic. Readers learn to think critically about data, choose appropriate statistical methods, and interpret results in a business context. Excel is not an afterthought—it is woven into every chapter through dedicated Excel Guides and practical examples.

What This Edition Covers

• Defining and collecting data, including sampling methods and survey errors
• Organizing and visualizing categorical and numerical variables with charts, tables, and dashboards
• Descriptive measures: central tendency, variation, shape, covariance, and correlation
• Probability concepts and discrete and continuous probability distributions
• Sampling distributions, confidence intervals, and hypothesis testing
• Two-sample tests, analysis of variance, and chi-square tests
• Simple and multiple regression, model building, and time-series forecasting
• Online chapters on quality management and decision making

Excel Guides for Hands-On Learning

Each chapter includes an Excel Guide that walks through the software steps needed to perform statistical analyses using Microsoft Excel. These guides reinforce conceptual understanding by connecting formulas and techniques directly to spreadsheet functions. Chapter cases and digital cases provide opportunities to apply what has been learned to realistic business problems.

Build a Strong Foundation for Data-Driven Decisions

In today’s business environment, the ability to interpret data is a competitive advantage. This text prepares readers to move beyond basic spreadsheet familiarity and toward confident, evidence-based decision making. Whether used in a university course, a professional development setting, or for self-study, it offers a structured path from fundamental concepts to advanced analytical methods.