Exam 14: Two-Factor Analysis of Variance Independent Measures

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Whenever a two-factor experiment results in a significant interaction,you should be cautious about interpreting the main effects because an interaction can distort,conceal,or exaggerate the main effects of the individual factors.

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A two-factor experimental design means that the researcher must measure two separate scores for each subject.

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For an experiment involving two levels of factor A and three levels of factor B with a sample of n = 5 in each treatment condition,what is the value for dfwithin treatments?​

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If a two-factor analysis of variance produces a statistically significant interaction between the two factors A and B,then what can you conclude about the main effects for A and B?​

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What is the relationship among the separate F-ratios in a two-factor ANOVA?​

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How many separate groups of participants would be needed for an independent-measures,two-factor study with three levels of factor A and 4 levels of factor B?​

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A two-factor study compares two different treatment conditions (factor 1)for males and females (factor 2).In this study,the males have an average score of 20 in the first treatment and an average of 25 in the second.The females average 35 in the first treatment and 45 in the second.For this study,there is no interaction.

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A two-factor,independent-measures research study with two levels of factor A and two levels of factor B would require two separate groups of participants.

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In a two-factor ANOVA for an independent-measures study,all of the F-ratios use the same denominator.

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For a two-factor experiment with two levels of factor A and 3 levels of factor B and n = 10 subjects in each treatment condition,how many participants are in each level of factor A?​

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For a two-factor experiment with two levels of factor A and three levels of factor B and n = 10 subjects in each treatment condition,how many participants are in each level of factor B?​

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A two-factor analysis of variance produces an F-ratio for factor A that has df = 3,36.This analysis is comparing three different levels of factor A.

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Which of the following is used to calculate the degrees of freedom for the A x B interaction?​

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Obtaining a significant interaction means that both factors A and B have significant main effects.

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Which of the following not used in an F-ratio for the two-factor analysis of variance?​

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A two-factor ANOVA produces an F-ratio for factor A with df = 1,36 and an F-ratio for factor B with df = 2,36.Which of the following describes the experiment producing these F-ratios?​

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Which of the following is best to present a structure of a two-factor experiment?​

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A two-factor research study is used to evaluate the effectiveness of a new blood-pressure medication.In this two-factor study,factor A is medication versus no medication and factor B is male versus female.The medicine is expected to reduce blood pressure for both males and females,but it is expected to have a much greater effect for males.What pattern of results should be obtained if the medication works as predicted?​

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A two-factor research study has two levels of factor A and three levels of factor B with n = 8 participants in each treatment condition.For this study,what is the value for dfbetween treatments?​

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The results of a two-factor analysis of variance produce df = 2,36 for the F-ratio for factor A and df = 2,36 for the F-ratio for factor B.What are the df values for the A x B interaction?​

(Multiple Choice)
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