In: Statistics and Probability
1. Music seems to be everywhere in society, and psychologists have investigated its effects on a variety of performances. For example, suppose an experimenter created three equivalent groups of eight people each and asked each person to perform a proofreading task on a short research paper. Subjects in group A1 performed the task with no music playing in the background, subjects in group A2 performed the task with a selection of oldies playing in the background, and subjects in groups A3 performed the task while listening to hard rock. The dependent variable was the errors detected out of a possible 50. Suppose the following scores were obtained:
| 
 No Music (A1)  | 
 Oldies (A2)  | 
 Hard Rock (A3)  | 
| 
 40  | 
 34  | 
 26  | 
| 
 41  | 
 39  | 
 24  | 
| 
 39  | 
 38  | 
 19  | 
| 
 36  | 
 40  | 
 23  | 
| 
 35  | 
 34  | 
 18  | 
| 
 32  | 
 35  | 
 21  | 
| 
 31  | 
 29  | 
 23  | 
| 
 34  | 
 36  | 
 29  | 
1.a.Analyze the scores with a one-factor between-subjects ANOVA to answer the question: Did the music condition affect the number of errors detected by a subject? Use α= .05. If needed, use the Tukey HSD test for multiple (pairwise) comparisons.
1.b.Report the results of this experiment as it would appear in a research paper.
1.a.Analyze the scores with a one-factor between-subjects ANOVA to answer the question: Did the music condition affect the number of errors detected by a subject? Use α= .05. If needed, use the Tukey HSD test for multiple (pairwise) comparisons.
MINITAB used
One-way ANOVA: No Music, Oldies, Hard Rock
Method
| 
 Null hypothesis  | 
 All means are equal  | 
| 
 Alternative hypothesis  | 
 Not all means are equal  | 
| 
 Significance level  | 
 α = 0.05  | 
Equal variances were assumed for the analysis.
Factor Information
| 
 Factor  | 
 Levels  | 
 Values  | 
| 
 Factor  | 
 3  | 
 No Music, Oldies, Hard Rock  | 
Analysis of Variance
| 
 Source  | 
 DF  | 
 Adj SS  | 
 Adj MS  | 
 F-Value  | 
 P-Value  | 
| 
 Factor  | 
 2  | 
 893.3  | 
 446.63  | 
 34.39  | 
 0.000  | 
| 
 Error  | 
 21  | 
 272.8  | 
 12.99  | 
||
| 
 Total  | 
 23  | 
 1166.0  | 
Model Summary
| 
 S  | 
 R-sq  | 
 R-sq(adj)  | 
 R-sq(pred)  | 
| 
 3.60390  | 
 76.61%  | 
 74.38%  | 
 69.45%  | 
Means
| 
 Factor  | 
 N  | 
 Mean  | 
 StDev  | 
 95% CI  | 
| 
 No Music  | 
 8  | 
 36.00  | 
 3.70  | 
 (33.35, 38.65)  | 
| 
 Oldies  | 
 8  | 
 35.63  | 
 3.50  | 
 (32.98, 38.27)  | 
| 
 Hard Rock  | 
 8  | 
 22.88  | 
 3.60  | 
 (20.23, 25.52)  | 
Pooled StDev = 3.60390
Tukey Pairwise Comparisons
Grouping Information Using the Tukey Method and 95% Confidence
| 
 Factor  | 
 N  | 
 Mean  | 
 Grouping  | 
|
| 
 No Music  | 
 8  | 
 36.00  | 
 A  | 
|
| 
 Oldies  | 
 8  | 
 35.63  | 
 A  | 
|
| 
 Hard Rock  | 
 8  | 
 22.88  | 
 B  | 
|
Means that do not share a letter are significantly different.
Tukey Simultaneous Tests for Differences of Means
| 
 Difference of Levels  | 
 Difference  | 
 SE of  | 
 95% CI  | 
 T-Value  | 
 Adjusted  | 
| 
 Oldies - No Music  | 
 -0.38  | 
 1.80  | 
 (-4.91, 4.16)  | 
 -0.21  | 
 0.976  | 
| 
 Hard Rock - No Music  | 
 -13.13  | 
 1.80  | 
 (-17.66, -8.59)  | 
 -7.28  | 
 0.000  | 
| 
 Hard Rock - Oldies  | 
 -12.75  | 
 1.80  | 
 (-17.29, -8.21)  | 
 -7.08  | 
 0.000  | 
Individual confidence level = 98.00%
1.b.Report the results of this experiment as it would appear in a research paper.
The 8 participants in the No Music group had an average number of error of 36.0 (SD = 3.7); the 8 participants in the Oldies group had an average error of 35.6 (SD = 3.5), and the 8 participants in the Hard Rock group had a mean of 22.9 (SD = 3.6). The effect of music therefore, was highly significant, F(2,21) = 34.4, p<.001.
Post hoc comparisons using the Tukey HSD test indicated that the mean error for the Hard Rock was significantly different than the No music and Oldies . However, the Oldies did not significantly differ from the No music conditions.