Mind on Statistics

by Jessica M. Utts

MIND ON STATISTICS emphasizes the conceptual development of statistical ideas and the importance of looking for--and finding--meaning in data. Authors Jessica Utts and Robert Heckard actively engage students' natural curiosity, motivating them with intriguing questions and explaining statistical topics in the context of a wide range of interesting, useful examples and case studies. Throughout, the authors balance the promotion of statistical literacy with coverage of the statistical methodology taught in general introductory statistics courses. Their approach is based on the premises that new material is much easier to learn and remember if it is related to something interesting or previously known, and if students actively ask questions and find the answers for themselves. More than any other text available, MIND ON STATISTICS motivates and encourages students to develop their statistical intuition by focusing on analyzing data and interpreting results, rather than on mathematical formulation.Kindle textbooks are functionally equivalent to the print textbook. In some cases, individual items such as ancillary images or multimedia have been removed for digital delivery due to rights restrictions.

Genres: Textbooks

1834 pages, Kindle Edition

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 · Rating 4 out of 5]

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 · Rating 2 out of 5]

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

[Trang · Rating 5 out of 5]

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.