Suppose we have conducted a study that examines the impact of auditory distraction on test performance.
The test contains 50 items, each of which counts as 2 points. Students complete the test
in a classroom with a constant hum from the heating vent or in the same classroom where a cell phone rings 5 minutes and 15 minutes after the test begins.
1. What type of study (correlational, quasi-experiment, experiment) is this? How do you
know?
2. Identify the IV. What are the levels of the IV?
3. What is the DV? How is it operationalized? What scale of measurement is represented? The results of the study are below.

1. Do the results show homogeneity of variance? How can you tell?
2. Based on the results, would you reject or retain the null hypothesis? What is the probability of making a Type I error? A Type II error?
3. Compute the effect size for the study and interpret its meaning.
4. Comment on the practical significance of the findings.
5. Based on the findings, what do you conclude about the study in general?

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Group Statistics Distraction constant noise phone ring Mean Std. Deviation Std. Error Mean Test Score 15 82.2000 6.66762 1.72157 15 773333 5.88784 1.52023 Independent Samples Test Levene's Test for Equality of t-teet for Equality of Means 95% Confidence Interval of the Difference Sig、(2-1 tailed) Mean Difference Std. Error Difference Sig. df Lower Equal variances 120 731 2.119 28 .043 4.86667 2.29672 16205 9.57128 Soore Equal variances not assumed 2.119 27.578 043 4.86667 2.29672 15880 9.57453 Correlations DistractioTe Score Distraction Pearson Correlation 372 043 30 Sig. (2-tailed) 30 Comelation is significant at the 0.05 level (2-tailed)