Applied Statistical Inference with MINITAB®, Second Edition

Applied statistical inference with Minitab, built for hands-on learning

Applied Statistical Inference with MINITAB®, Second Edition is a focused statistics text for readers who want to move from theory to practice without losing mathematical rigor. Sally A. Lesik organizes the material around the core ideas of statistical inference and shows how to work them through in Minitab, making the book especially useful for students who need both conceptual understanding and software fluency.

The coverage begins with the foundations: describing data, reading graphical displays, and working with probability distributions. From there, the book moves into the central tools of inferential statistics, including confidence intervals, hypothesis tests, power analysis, and comparisons between one-sample and two-sample data. The later chapters turn to simple linear regression and related diagnostics, giving the reader a clear progression from introductory methods to model-based analysis.

What the book emphasizes

• descriptive statistics and graphical summaries
• random variables and key probability distributions
• one-sample and two-sample inference
• confidence intervals and hypothesis testing
• power analysis for common statistical procedures
• simple linear regression and correlation
• regression assumptions, residuals, and outlier checks

A practical fit for statistics courses

This edition is especially well aligned with calculus-based or mathematically oriented statistics courses that use Minitab as part of the workflow. The chapter structure supports step-by-step learning, so readers can see how statistical ideas are applied in a working analysis rather than encountered only as abstract formulas.

If you are building a digital statistics library for coursework, self-study, or reference use, this title offers a clean blend of theory, interpretation, and software application.