Applied Statistics
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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 an applied approach that does not require formal mathematics and equations are accompanied by verbal explanations.
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Bol Partner
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 an applied approach that does not require formal mathematics and equations are accompanied by verbal explanations.
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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 an applied approach that does not require formal mathematics and equations are accompanied by verbal explanations.
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