Jeffrey A. Witmer

Testimonials


An approachable text with interesting and varied examples that demonstrates how statisticians approach data analysis. KB Boomer, Bucknell University

This book is consistent with the goals and recommendations of GAISE. It fits with my personal teaching philosophy, and it more than sufficiently covers all of the material needed in my course. It is well written, accessible to undergraduate non-majors, and contains up-to-date, engaging examples. Margaret Bryan, U Missouri - Columbia

This is THE BEST book as a second course for non-technical majors. I use it for undergraduates and graduates. The fact that it covers the main facets of applied statistics (regression, anova, and logistic) without a bunch of other topics that are not used much is a plus. Linda Clark, Central CT State

Very readable but not at too low a level. It is a wonderful approach to topics that we never have time for in a first statistics course. It allows the instructor to focus on a variety of topics, in different orders. Julie Clark, Hollins U

A wonderful text for courses that follow an introductory statistics course. There is a wealth of material that is accessible and is presented in a manner that is interesting and makes sense. Important ideas of model assumptions are stressed (never glossed over) and the data is all real-world. This text explains how a scientist in any field might actually use statistical ideas in his/her work. Julie Clark, Hollins U.

A gentle, well-written, introduction to regression (and ANOVA/design and categorical data analysis) with plenty of examples and loads of exercises with interesting data.  Linda Brant Collins, U. Chicago

A very clear and thorough introduction to some traditionally tough concepts for students to grasp. I think a student could actually go out and conduct a statistical analysis after learning from this text. Leslie Hendrix, U. of South Carolina

It covers all the essential topics in regression without getting tangled up in the mathematics and focuses on the use and interpretation of data. Elizabeth Johnson, George Mason U.

A wonderful text for courses that follow an introductory statistics course. There is a wealth of material that is accessible and is presented in a manner that is interesting and makes sense. Important ideas of model assumptions are stressed (never glossed over) and the data is all real-world. This text explains how a scientist in any field might actually use statistical ideas in his/her work.  Elizabeth Johnson, George Mason U.

STAT2 simultaneously teaches students about the practice of analyzing data and the reasons the analysis works. Students using the text will come away with both practical skills and a solid understanding. I wouldn't want to teach out of any other book. Dominic Klyve, Central WA U.

STAT2: Why bother with any other book?  Dominic Klyve, Central WA U.

This is an excellent book for students who are coming out of an AP Stat (or equivalent) course. It will solidify the foundation of students who are looking to take more than one or two statistics courses.  Chris Lacke, Rowan U.

STAT2 is a very applied undergraduate statistics text that covers regression and ANOVA and offers a lot of flexibility in what topics you can cover and in the amount of detail you wish to present to your students. Wilmina Magret, John Carroll U.

128532396
STAT2 is being class tested at schools throughout the country and here's what students are saying:
 
“It's probably one of the clearest math, science, and engineering textbooks around.”
Senior Engineering/Economics major, Smith College
 
“I like this textbook because it's straight to the point and does not include a lot of 'fluffing up' of the material.”
Sophomore Biochemistry/Molecular Biology/Psychology major, Cornell College
 
“It reads like somebody is talking to you.”
Senior Biochemistry major, Smith College
 
“Well-written, goes into great detail with concepts and includes cool examples and exercises that spark the reader's interest.”
- Junior Math major, St Lawrence University
 
“Logistic regression and two-way ANOVA were very challenging, but the text provided examples and it was easy to understand what the text was interpreting in each.”
Sophomore Psychology major, St Lawrence University
32216129
STAT2 was class tested at schools throughout the country, and here's what students had to say:

“It's probably one of the clearest math, science, and engineering textbooks around.”
Senior Engineering/Economics major, Smith College
 
“I like this textbook because it's straight to the point and does not include a lot of 'fluffing up' of the material.”
Sophomore Biochemistry/Molecular Biology/Psychology major, Cornell College
 
“It reads like somebody is talking to you.”
Senior Biochemistry major, Smith College
 
“Well-written, goes into great detail with concepts and includes cool examples and exercises that spark the reader's interest.”
Junior Math major, St Lawrence University
 
“Logistic regression and two-way ANOVA were very challenging, but the text provided examples and it was easy to understand what the text was interpreting in each.”
Sophomore Psychology major, St Lawrence University
   
81381247

Jeffrey A. Witmer

Related Titles