PSYC 2301 Lecture Notes - Lecture 12: Type I And Type Ii Errors, Variance, Null Hypothesis
Document Summary
12. 1 introduction to analysis of variance: analysis of variance. Used to evaluate mean differences between two or more treatments. Uses sample data as basis for drawing general conclusions about populations: clear advantage over a t test: it can be used to compare more than two treatments at the same time. The independent (or quasi-independent) variable that designates the groups being compared: levels. Individual conditions or values that make up a factor: factorial design. A study that combines two or more factors. Statistical hypotheses for anova: null hypothesis: the level or value on the factor does not affect the dependent variable. In the population, this is equivalent to saying that the means of the groups do not differ from each other. Alternate hypothesis for anova: h1: there is at least one mean difference shorthand is (cid:498)not h0(cid:499)(cid:524) among the populations (acceptable. All means are different from every other mean.
