PSYC 305 Lecture Notes - Lecture 6: Studentized Range, Absolute Difference, John Tukey

• School: McGill University
• Department: Psychology
• Course: PSYC 305
• Professor: Heungsun Hwang

Document Summary

Each level gives us one group of observations on the dependent variable. The number of independent variables is the same as the number of groups we are going to compare on the dependent variable. The number of dependent variables in this course is always one. Anova is always about computing means to some extent. Purpose: to test whether the means of k (cid:523) (cid:884)(cid:524) populations significantly differ. H1: not all "s are the same (cid:523)at least one of the means is different(cid:524) For computations, we first compute ss (sum of squares) Sum of square difference between one observation and mean score. We are going to compute the total variation of the entire sample we have. This is called ss(t) and then we split this ss(t) into two different ss parts (ss(b) and ss(w)) If you divide these ss parts by their degrees of freedom, then you have the variances.