State which statistical test you should use (e.g., 2 X 4 factorial ANOVA, one-way ANOVA). Show the value of the obtained inferential statistic (e.g., F = 2.17), the degrees of freedom and the critical value(s) from the relevant table(s), and state whether you should reject or fail to reject the null hypothesis. Calculate effect size when applicable and label the size of the effect. Then explain, in non-statistical language (completely in laypersons terms) what the practical conclusion of your analysis is, including the direction of all differences/effects.

1. A researcher wants to assess the effects of being distractible and listening to music during an exam on exam scores. She divides 24 students into groups that listened to music (n= 12) or did not (n= 12) during an exam. She also measured their distractibility and divided them into high (n= 12) and low (n=12) distractibility groups based on their scores. The means and sums of squares were as follows: High distractibility M= 74.83 M = 86.00 Low distractibility M=85.17 M= 75.00 Music No Music SS distractibility = 0.67; SSmusic = 1.50; SSinteraction = 682.67; SSwithin = 45.67 Test the effects of distractibility and listening to music on exam performance using alpha of .05. 1. A researcher wants to assess the effects of being distractible and listening to music during an exam on exam scores. She divides 24 students into groups that listened to music (n= 12) or did not (n= 12) during an exam. She also measured their distractibility and divided them into high (n= 12) and low (n=12) distractibility groups based on their scores. The means and sums of squares were as follows: High distractibility M= 74.83 M = 86.00 Low distractibility M=85.17 M= 75.00 Music No Music SS distractibility = 0.67; SSmusic = 1.50; SSinteraction = 682.67; SSwithin = 45.67 Test the effects of distractibility and listening to music on exam performance using alpha of .05