Statistics: Learning from Data, 2nd Edition

Statistics is not just a collection of formulas. It is a way of thinking about variability, data, and the conclusions we draw from evidence. In Statistics: Learning from Data, Second Edition, Roxy Peck and Tom Short guide readers through that thinking with a focus on real data and the reasoning behind statistical methods.

What Makes This Approach Different 📊

Instead of presenting statistics as a series of disconnected procedures, the book connects collecting data, describing data distributions, probability, and statistical inference into a coherent framework. Chapters move from planning observational studies and experiments to graphical and numerical summaries, then to probability and sampling distributions before tackling confidence intervals and hypothesis tests.

Inside the Book

• Data collection and study design, including random selection and random assignment
• Graphical and numerical methods for describing univariate and bivariate data
• Probability foundations, random variables, and normal distributions
• Sampling distributions and the logic of statistical inference
• Confidence intervals and hypothesis tests for proportions and means
• Inference for categorical data, relationships between numerical variables, and comparisons of more than two means

Who Will Find It Useful

This is an introductory statistics text suitable for college courses. The writing is direct, examples are built around real studies, and the chapter structure supports both first-time learners and instructors looking for a modern, data-centered presentation.

Digital Delights offers this ebook edition for readers who want the full textbook in a convenient digital format.