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5 Cards in this Set
- Front
- Back
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factor
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in ANOVA, the variable (independent or quasi-independent) that designates the groups being compared
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levels
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the individual conditions or values that make up a factor
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error term
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for ANOVA, the denominator of the F-ratio; provides a measure of the variance due to random, unsystematic differences; when the treatment effect is zero (H-0 is true), the error term measures the same sources of variance as the numerator of the F-ratio, so the value of the F-ratio is expected to be nearly equal to 1.00
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post hoc tests (posttests)
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additional hypothesis tests that are done after an ANOVA to determine exactly which mean differences are significant and which are not
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experimentwise alpha level
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the overall probability of a Type I error that accumulates over a series of separate hypothesis tests; typically substantially greater than the value of the alpha used for any one of the individual tests
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