Applied Statistics: From Bivariate Through Multivariate Techniques

Applied Statistics: From Bivariate Through Multivariate Techniques
Summary
"Applied Statistics: From Bivariate Through Multivariate Techniques provides a clear introduction to widely used topics in bivariate and multivariate statistics, including multiple regression, discriminant analysis, MANOVA, factor analysis, and binary logistic regression. Author Rebecca M. Warner presents these concepts in an accessible way that does not require formal mathematics training." "This is an excellent core textbook for advanced undergraduate and graduate students across the social and behavioral sciences who are studying statistics in courses such as Advanced Undergraduate Statistics Intermediate Statistics, Statistics II, and Applied Multivariate Statistics."--Jacket.