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ANOVA

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10 Terms

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ANOVA

This statistical method is used for comparing means between more than two groups.

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Random and independent sampling

This assumption of ANOVA requires that observations must be chosen without bias from the population.

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Sum of Squares Total (SST)

This is the total variability in the dataset. It is the sum of all squared deviations from the grand mean.

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SS Between

This value measures how much group means deviate from the overall mean.

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Degrees of Freedom

It refers to the number of values in the final calculation of a statistic that are free to vary.

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Mean Squares

This is the average of the squared deviations from the group mean.

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F-ratio

This value is used to compare variability between groups to variability within groups.

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Continuous

In ANOVA, the dependent variable must be:

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2-sample t-test

If a categorical variable has only two values, which test should be used instead of ANOVA?

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Within Group Variation

This is the term for the subset of the total variability that measures how much individual values vary from their group mean.