Zusammenfassung der Ressource
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Why should you use an ANOVA, rather than lots of t tests?
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Performing lots of t test increases the probability of making a Type 1 error
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Performing lots of t tests increases the probability of making a Type 2 error
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Performing lots of t tests increases the chance of failing to reject a false null hypothesis
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All of the above
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The ANOVA statistic is calculated by __________
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Multiplying the between groups variance by the within groups variance
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Subtracting the between groups variance from the within groups variance
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Adding the between groups variance to the within groups variance
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Dividing the between groups variance by the within groups variance
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You calculate an F ratio and get a value more than 1. How would you interpret this?
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There is the less between groups variance than within groups variance
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There is the same amount of between groups variance and within groups variance
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There is no within groups variance
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There is more between groups variance than within groups variance
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You have calculated the SSbetween as 10 and the SStotal as 15. What would the SSwithin be?
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Your study has four conditions with 20 participants in each condition. What would the dfwithin be?
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Which of the following is the correct way to calculate the MSbetween?
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SSbetween ÷ dfbetween
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SSbetween ÷ SStotal
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SSbetween x dfbetween
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SSbetween x dftotal
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What does eta squared tell us?
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If homogeneity has been established
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If there is a significant difference between groups
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How much of the variance in the independent variable can be accounted for by the dependent variable
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How much of the variance in the dependent variable can be accounted for by the independent variable
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If an author reports the results of an ANOVA as F (4, 65) = 9.56, p = .01, what is the between-groups degrees of freedom?