Want to know if increasing levels of movie violence increases viewer aggression. Three groups of subjects are randomly selected and assigned to groups. All groups view a 30-minute motion picture, but in each version of the movie there are a different number of violent scenes. Following the movie, all subjects are given the TAT (Thematic Apperception Test) and scored on the amount of fantasy aggression displayed, high scores indicating higher levels of aggression.
No Violent Scenes 5 Violent Scenes 10 Violent Scenes
2 |
3 |
8 |
4 |
4 |
5 |
3 |
2 |
9 |
5 |
1 |
12 |
0 |
1 |
5 |
3 |
3 |
6 |
4 |
4 |
4 |
6 |
4 |
9 |
2 |
0 |
7 |
2 |
1 |
9 |
1 |
0 |
8 |
1 |
2 |
4 |
3 |
4 |
7 |
0 |
2 |
8 |
5 |
1 |
5 |
2 |
5 |
6 |
4 |
4 |
13 |
2 |
3 |
5 |
Using Excel
data -> data analysis -> Anova Single Factor
Anova: Single Factor | ||||||
SUMMARY | ||||||
Groups | Count | Sum | Average | Variance | ||
No | 18 | 49 | 2.722222 | 2.918301 | ||
5 | 18 | 44 | 2.444444 | 2.379085 | ||
10 | 18 | 130 | 7.222222 | 6.535948 | ||
ANOVA | ||||||
Source of Variation | SS | df | MS | F | P-value | F crit |
Between Groups | 258.9259 | 2 | 129.463 | 32.8216 | 6.89E-10 | 3.178799 |
Within Groups | 201.1667 | 51 | 3.944444 | |||
Total | 460.0926 | 53 |
F = 32.8216
you can take alpha = 0.05
p-value = 0.0000 < alpha
hence you reject the null hypothesis
we conclude that there is difference in mean
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