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Willard Ch 13

Statistics

TermDefinition
F statistic ratio of between-treatments variance to within-treatments variance.
F statistics no negative values, no two-tailed tests.
ANOVA acronym for analysis of variance. allows for comparison of 2,3,4 or more groups simultaneously using only one alpha level and thus avoids the buildup of alpha error.
Assumptions for ANOVA Independent and random selection of subjects. The dependent variable can be measured on an interval or ratio scale.
Assumptions for ANOVA continued The dependent variable is normally distributed in the population of interest. Homogeneity of variance of the dependent variable in the populations of interest.
post hoc tests conducted after null hypothesis rejected and there are three or more treatment groups. Used to distinguish which means differ significantly.
eta squared effect size for ANOVA
Experiment-wise alpha level accumulated probability of a type I error (rejecting a null hypothesis that is true)
one-way analysis of variance manipulating only one independent variable.
between-treatment variance variability between the treatment groups. Individual differences+Experimental error+Treatment
within-treatment variance variability within a particular sample. Individual differences+Experimental error.
Created by: rowaggerm
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