introduction to analysis of variance Flashcards

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1
Q

analysis of variance (ANOVA)

A

a hypothesis-testing procedure used to determine if mean differences exist for two or more treatments or populations (measured by the F-ratio)

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2
Q

components of variability

A

between-treatments variability and within-treatments variability

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3
Q

error term

A

the denominator of the F-ratio; provides a measure of the variance due to chance

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4
Q

factor

A

independent variable

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5
Q

levels

A

individual treatment conditions that make up a factor

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6
Q

post hoc tests

A

methods of determining whether to conclude that means differ significantly (examples: Tukey’s HSD and the Scheffe test)

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7
Q

assumptions of ANOVA

A

(1) observations within each sample are independent, (2) populations from which the samples are selected are normal, (3) populations from which the samples are selected have equal variances

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