Explaining Psychological Statistics (Coursesmart) - Tapa dura

Acerca del autor

BARRY H. COHEN, PHD, is the Director of the Master’s Program in Psychology at New York University, where he has been teaching statistics for more than twenty years. He is the coauthor of two other successful statistics books from Wiley: Introductory Statistics for the Behavioral Sciences, Seventh Edition and Essentials of Statistics for the Social and Behavioral Sciences.

De la contraportada

Praise for the previous edition of Explaining Psychological Statistics

"I teach a master's level, one-semester statistics course, and it is a challenge to find a textbook that is at the right level. Barry Cohen's book is the best one I have found. . . . I like the fact that the chapters have different sections that allow the professor to decide how much depth of coverage to include in his/her course. . . . This is a strong and improved edition of an already good book."
—Karen Caplovitz Barrett, PhD, Professor, and Assistant Department Head of Human Development and Family Studies, Colorado State University

"The quality is uniformly good. . . . This is not the first statistics text I have read but it is one of the best."
—Michael Dosch, PhD, MS, CRNA, Associate Professor and Chair, Nurse Anesthesia, University of Detroit Mercy

A clear and accessible statistics text—now fully updated and revised

Now with a new chapter showing students how to apply the right test in the right way to yield the most accurate and true result, Explaining Psychological Statistics, Fourth Edition offers students an engaging introduction to the field. Presenting the material in a logically flowing, non-intimidating way, this comprehensive text covers both introductory and advanced topics in statistics, from the basic concepts (and limitations) of null hypothesis testing to mixed-design ANOVA and multiple regression.

The Fourth Edition covers:

• Basic statistical procedures
• Frequency tables, graphs, and distributions
• Measures of central tendency and variability
• One- and two-sample hypothesis tests
• Hypothesis testing
• Interval estimation and the t distribution