HSS 2381 Lecture Notes - Lecture 9: Squared Deviations From The Mean, Music Therapy, Repeated Measures Design

• School: University of Ottawa
• Department: Health Sciences
• Course: HSS 2381
• Professor: Kerry- Ann Hogan

Document Summary

Anova: compare group means when t-tests are not appropriate (i. e when three or more groups are being compared); analysis of variance; a bunch of mini t-tests. In a 2-mean t-test we see if the difference btwn 2 sample means is significant. The anova is used to compare multiple means, and see if the difference btwn all the means. If the means overlap at the same confidence interval, likely to accept the null (not significant) If the means (2 or more) at the same confidence interval, they are significant. Compare the mean bacterial count in 3 samples of milk one-way anova: one dependent variable, one type of independent variable. Compare the mean weight of men vs women among canadians vs. americans two-way anova: two categories of independent variables. Compare the mean price of 6 categories of vegetables in 4 different grocery stores in 7 different countries n-way anova.