In: Statistics and Probability
The authors of the paper "Age and Violent Content Labels Make Video Games Forbidden Fruits for Youth" carried out an experiment to determine if restrictive labels on video games actually increased the attractiveness of the game for young game players.† Participants read a description of a new video game and were asked how much they wanted to play the game. The description also included an age rating. Some participants read the description with an age restrictive label of 7+, indicating that the game was not appropriate for children under the age of 7. Others read the same description, but with an age restrictive label of 12+, 16+, or 18+.
The data below for 12- to 13-year-old boys are fictitious, but are consistent with summary statistics given in the paper. (The sample sizes in the actual experiment were larger.) For purposes of this exercise, you can assume that the boys were assigned at random to one of the four age label treatments (7+, 12+, 16+, and 18+). Data shown are the boys' ratings of how much they wanted to play the game on a scale of 1 to 10.
7+ label | 12+ label | 16+ label | 18+ label |
---|---|---|---|
7 | 8 | 7 | 10 |
7 | 7 | 9 | 9 |
6 | 10 | 8 | 6 |
5 | 5 | 6 | 8 |
5 | 7 | 7 | 7 |
8 | 9 | 5 | 6 |
6 | 5 | 8 | 8 |
1 | 8 | 9 | 9 |
2 | 4 | 6 | 10 |
4 | 7 | 7 | 8 |
Do the data provide convincing evidence that the mean rating associated with the game description by 12- to 13-year-old boys is not the same for all four restrictive rating labels? Test the appropriate hypotheses using a significance level of 0.05.
A. Calculate the test statistic. (Round your answer to two decimal places.) F =
B. What can be said about the P-value for this test?
P-value > 0.1000
.050 < P-value < 0.100
0.010 < P-value < 0.0500
.001 < P-value < 0.010
P-value < 0.001
C.
Reject H0. The data do not provide convincing
evidence that the mean rating associated with the game description
by 12- to 13-year-old boys is not the same for all four restrictive
rating labels.
Reject H0. The data provide convincing evidence
that the mean rating associated with the game description by 12- to
13-year-old boys is not the same for all four restrictive rating
labels.
Fail to reject H0. The data do not provide
convincing evidence that the mean rating associated with the game
description by 12- to 13-year-old boys is not the same for all four
restrictive rating labels.
Fail to reject H0. The data provide convincing
evidence that the mean rating associated with the game description
by 12- to 13-year-old boys is not the same for all four restrictive
rating labels.
For the given data using Anova single factor in Excel we get output as
Anova: Single Factor | ||||||
SUMMARY | ||||||
Groups | Count | Sum | Average | Variance | ||
7+ label | 10 | 51 | 5.1 | 4.988889 | ||
12+ label | 10 | 70 | 7 | 3.555556 | ||
16+ label | 10 | 72 | 7.2 | 1.733333 | ||
18+ label | 10 | 81 | 8.1 | 2.1 | ||
ANOVA | ||||||
Source of Variation | SS | df | MS | F | P-value | F crit |
Between Groups | 47.7 | 3 | 15.9 | 5.138241 | 0.004633 | 2.866266 |
Within Groups | 111.4 | 36 | 3.094444 | |||
Total | 159.1 | 39 |
From the above output
( A ) Answer : test statistic ( F ) = 5.14
P value = 0.0046
( B ) Answer : .001 < P-value < 0.010
P value < l.o.s
i.e ., 0.0046 < 0.05
So reject H0
( C ) Answer : Reject H0. The data provide convincing evidence that the mean rating associated with the game description by 12- to 13-year-old boys is not the same for all four restrictive rating labels