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Objects variables and scales
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alternative analysis of variance application associated average beta coefficients calculate central tendency chapter characteristics cluster composite outcomes concept confidence interval consider correlation analysis correlation coefficient criterion groups criterion variable cutoff score defined degrees of freedom determine dichotomous discriminant analysis discriminant function equal example experimental variable factor analysis frequency distribution given hypothesis identify individual infinite number interpretation matrix measured median multiple correlation multivariate normal distribution number of observations number of variables occur package color pair population mean population parameter possible prediction predictor variables procedure random sample random variables regression analysis regression equation regression line relationship relative frequency represent respective result ri ri ri sample mean sample space sample statistics sampling distribution scale set of objects set of scores shelf space shown in Figure simple outcomes spice sales standard deviation standard error statistical analysis Table technique test scores tion value on variable variation