HSS 2381 Final: HSS2381 FINAL CHEAT SHEET

• School: University of Ottawa
• Department: Health Sciences
• Course: HSS 2381
• Professor: Raywat Deonandan

Document Summary

Anova analysis of variance; when you have more than 2 means from more than 2 samples. Used to compare group means when t-tests are not appropriate; find out whether data from several groups have a common mean. One way compares three different independent groups o o. 1 nominal/ordinal variable (independent variable): ie. car company w/ 3 different factories. Two way compares three different groups but have two categories instead of one. N-way to determine if the means in a set of data differ when grouped by multiple factors. Repeated measures anova measurements are taken multiple times for the same people: when comparing the means of the same group tested more than twice in multiple scenarios/times. Partitioning variance involves isolating reasons why people"s scores might differ from one another. Between group variance differences b/w the groups being compared. Reject null if the f from table < f you calculate.