PSYC 2002 Lecture Notes - Lecture 12: Type I And Type Ii Errors, Squared Deviations From The Mean, Xm Satellite Radio

• School: Carleton University
• Department: Psychology
• Course: PSYC 2002
• Professor: Steven Carroll

Document Summary

Imagine we have 3 groups (placebo, half-dose, full dose) If we do t-tests, we have to conduct 3 separate tests: placebo vs. half dose, placebo vs. full dose, half dose vs. full dose. Imagine we had 4 groups (placebo, , , full dose) If we do t-tests, we have to conduct 6 separate tests: placebo vs. , placebo vs. , placebo vs. full, vs. , vs. full, vs. full. If we set = . 05 for each test, what is: p ([no type i error on test 1] . [no type i error on test 2] . [no type i error on test 3] . [no type i error on test 4] . [no type i error on test 5] . We call if analysis of variance: aka anova: the nice thing about anova is, provided you use the definitional formulae.