Transcription of AN INTRODUCTION TO MULTIVARIATE STATISTICS
{{id}} {{{paragraph}}}
An INTRODUCTION to MULTIVARIATE STATISTICS The term MULTIVARIATE STATISTICS is appropriately used to include all STATISTICS where there are more than two variables simultaneously analyzed. You are already familiar with bivariate STATISTICS such as the Pearson product moment correlation coefficient and the independent groups t-test. A one-way ANOVA with 3 or more treatment groups might also be considered a bivariate design, since there are two variables: one independent variable and one dependent variable. Statistically, one could consider the one-way ANOVA as either a bivariate curvilinear regression or as a multiple regression with the K level categorical independent variable dummy coded into K-1 dichotomous variables.
made that they are ordinal and not interval. Is the difference between an IQs of 70 and 80 the same as the ... It often seems much too easy to find whatever you wish to find in any ... Multivariate statistics may take us into hyperspace, a space quite different from that in which our brains (and thus our cognitive faculties) evolved.
Domain:
Source:
Link to this page:
Please notify us if you found a problem with this document:
{{id}} {{{paragraph}}}