Mind on Statistics

by Jessica M. Utts, Robert F. Heckard

Emphasizing the conceptual development of statistical ideas, MIND ON STATISTICS actively engages students and explains topics in the context of excellent examples and case studies. This text balances the spirit of statistical literacy with statistical methodology taught in the introductory statistics course. Jessica Utts and Robert Heckard built the book on two learning (1) New material is much easier to learn and remember if it is related to something interesting or previously known; (2) New material is easier to learn if you actively ask questions and answer them for yourself. More than any other text available, MIND ON STATISTICS motivates students to develop their statistical intuition by focusing on analyzing data and interpreting results as opposed to focusing on mathematical formulation. The new edition of this exciting text, enhanced with new material and features, appeals to a wide array of students and instructors alike.

Genres: Textbooks

646 pages, Hardcover

First published January 1, 2001

About the author

Jessica M. Utts is professor of statistics at University of California, Irvine, known particularly for her statistical evaluations of parapsychological claims. She serves on the executive board of the International Remote Viewing Association (IRVA).

Reviews

[Jerzy]

Suggested in Nicholson & Ridgway's rejoinder to White & Godard:

"We also agree that most textbooks on statistics place too much emphasis on NHST (without specifying the situations where NHST is and is not appropriate), and too little emphasis on issues of design (such as sampling) and how the interpretation of outcomes of NHST should be expressed. Mind on Statistics (Utts and Heckard, 2015) is an example of a textbook where key issues in NHST are addressed properly."

[Kellyanne]

Just the right level of detail, with explanation/examples well spaced to hold interest. Never having done anything beyond very basic statistics, this book was easy to work through and stepped through the content with enough depth but without overloading me. Really pleased.

[Isaac]

A decent overview with lots of examples, but not much substance or rigor. Could be suitable if struggling, but may get too tedious.

[Trang]

Great book for undergrad level: very well organized with detailed examples, summaries, and applications without overwhelming students. The math could be more rigorous, but felt right for an intro to stats class.