Multivariate Statistical Analysis: A Conceptual Introduction |
Contents
FUNDAMENTAL CONCEPTS 1 Introduction | 1 |
Objects variables and scales | 8 |
Frequency distributions | 21 |
Copyright | |
97 other sections not shown
Other editions - View all
Common terms and phrases
alternative analysis of variance application associated average calculated central tendency chapter cluster analysis composite outcomes concept confidence interval consider correlation analysis correlation coefficient criterion groups criterion variable cutoff score degrees of freedom determine dichotomous discriminant analysis discriminant function discriminant scores equal example experimental variable F ratio factor analysis factor loadings frequency distribution groups variance high loading hypothesis identify individual input variables inter-object similarity interaction interpretation measured median multiple correlation non-risks normal distribution number of observations number of variables occur package color pair prediction probability random variables regression analysis regression equation regression line relationship represent respective rotation sample mean sample space sample statistics sampling distribution scale set of objects set of variables shelf space shown in Figure similarity matrix simple outcomes spice sales squared deviations standard deviation standard error statistical analysis Table technique test scores tion Value on variable variance estimate variation