Essential Statistics for the Behavioral Sciences

by Gregory J. Privitera

Essentials of Statistics for the Behavioral Sciences is a concise version of Statistics for the Behavioral Sciences by award-winning teacher, author, and advisor Gregory J. Privitera. The Second Edition provides balanced coverage for todays students, connecting the relevance of core concepts to daily life with new introductory vignettes for every chapter, while speaking to the reader as a researcher when covering statistical theory, computation, and application. Robust pedagogy allows students to continually check their comprehension and hone their skills while working through carefully developed problems and exercises that include current research and seamless integration of IBM SPSS Statistics. Readers will welcome Priviteras thoughtful instruction, conversational voice, and application of statistics to real-world problems.

Paperback

First published December 16, 2014

Reviews

[Jim Razinha · Rating 3 out of 5]

This is the textbook assigned for my son's statistics class, and... it's a textbook. I'm a mechanical engineer, with math up to intermediate partial differential equations under my belt and I told him there's a reason I've never taken a statistics class, but I was curious. I admit I didn't work all of the problems - enough to check ...and find some errors - one was computational; a formula for variance is correct in the text, but wrong in the problem (but correct in the answer, go figure). And this is the 13th edition.

Bottom line, this is serviceable if you have to use this stuff. And really, only academics will. And just because the title says it's for behavioral sciences, that's just because of the way the problems are cast that way. Models don't apply to individuals, rather groups at best. This is base level statistics and I'm still glad I never had to take a class in it.

[Kay · Rating 4 out of 5]

Read this for one of my classes. I'm not a math person so it was a huge struggle. Thanks to Heavenly Fathers help I got through it and passed with a much better grade than I thought I would earn.