Term Project
Group 2
Spring 2013
Professor McGrade
Presented by….
Curtis Bryant, Amy Evans,
Heaven Kummer, Rachel McNeill,
Bonni Patterson & Terri Ronlev
Research Question
“For adult men, is age related
to hours
of video games played per
week?”
Study Design
We used the Systemic Sampling to survey
random individuals. We set k to 5 after the initial
2 males we see until we reach the sample size.
We interviewed 200 individuals. For every 5th
male we asked him his age, and hours spent
playing video games. The locations we used
were two libraries, two grocery stores, and two
malls.
Collected Data
Collective Group Data:
Hours of Video
Games
Men Age3
Played2
Hours of Video
Men Age2
Games Played
Men Age
Hours of Video
Games
Men Age4
Played3
Hours of Video
Games
Played4
23
2
25
8
60
0
41
3
30
0
21
12
20
10
28
2
25
15
23
28
23
0
29
2
19
0
24
30
25
0
36
2
19
5
47
8
20
10
45
2
21
14
52
0
31
0
18
1
22
3
26
13
19
0
18
1
20
20
46
10
61
0
46
1
20
10
18
50
75
0
48
1
45
0
20
30
64
0
41
1
34
15
27
25
62
1
50
0
Collected Data
(continued)
26
4
32
8
55
0
33
0
26
2
44
10
21
0
62
0
20
4
65
0
45
0
81
0
19
6
24
22
25
0
21
2
18
0
26
27
62
8
26
5
52
10
48
13
19
0
31
3
39
0
23
10
30
0
27
2
32
15
71
0
20
11
31
1
20
2
48
0
25
10
35
3
18
10
66
0
50
0
26
3
22
5
28
3
22
0
42
7
21
7
26
7
20
100
41
3
25
0
47
2
22
0
54
0
Collected Data (cont.)
30
18
19
20
20
18
25
20
22
31
18
18
50
62
55
22
48
23
44
39
25
19
33
28
52
2
8
2
14
0
10
5
5
0
30
20
22
3
0
0
16
3
25
11
4
1
21
15
40
4
26
34
62
24
30
23
19
25
28
38
52
43
36
22
24
21
40
28
66
37
52
65
41
29
23
10
3
0
20
4
8
16
12
7
2
1
3
0
9
5
20
2
4
0
5
0
0
5
10
8
50
31
20
20
64
23
21
18
19
71
18
26
25
20
19
20
21
24
42
28
29
32
39
27
22
0
0
0
0
0
0
0
0
7
4
14
10
10
12
10
9
9
8
8
6
5
4
4
7
3
27
28
18
23
22
30
19
20
37
34
33
18
28
29
19
18
35
29
35
38
23
29
19
21
26
1
1
2
1
3
5
2
3
4
4
2
6
3
2
2
4
2
3
1
3
2
4
3
4
2
50
0
46
1
29
3
45
0
Histogram for BOTH Variables
Boxplot for First Variable:
Age
Boxplot for Second Variable:
Hours
Correlation Coefficient and
Scatter Plot
Correlation
The variables age and hours of games played per week are related inversely or have a negative
linear relationship. As age rises the hours of games played decreases. Our statistics show us that
the linear correlation coefficient R = -0.288 and the absolute value of R or |R| = 0.288. The critical
value for our sample size of 200 with 95% confidence is 0.195. The linear correlation coefficient is
greater than the critical value for our sample. (R>CV) or (0.288>0.195) Therefore, because the
absolute value of R is higher than the critical value at the 0.05 level of significance, we are 95%
confident that there is a correlation between the two variables in the population.
Difficulties & Surprises
The biggest difficulty I encountered was communicating with
group members. As we focused on being more clear and concise,
it became easier to understand what the consensus was and then
overcame our obstacles. Collecting the data went smoothly. Upon
the advice of my husband (he took a stats class), I collected
additional interviews “just in case”. It turned out to be a good thing
because I completely forgot that we chose to interview only those
over the age of 18 and I had interviewed about 10 that were not.
Fortunately for me, it all worked out.
I was pleasantly surprised that our research and data became
organized and it was interesting to watch it all come “together”. I
believe we could have interviewed less people and got a similar
result. It was rather time consuming to explain to 33 interviewees
what I was doing and then ask the interview questions. We could
also chose more targeted public spots for interviewing such as a
gaming stores or electronics stores. Grocery stores, libraries and
malls may not correctly present an accurate audience of
individuals that play games due to lurking variables, such as age
and purpose for their visit to these particular places.
Interpretation & Conclusion
Our sample data had a fairly large distribution of age with a minimum of
18 and maximum of 81 year old men. 50% of the men were from 18 to 27
years old. Only 12.5% of the men in the sample are over 50 years old.
There are considerably more young men than old men in our sample.
The distribution of hours of games played per week also had a large
distribution with the minimum number of hours played at 0 hours and
maximum hours played at 100 hours. Just over 25% of the men played 0
hours per week or no video games at all. 57.5% of the men played between
1 and 10 hours per week. We also can see a few extremes in our sample.
One individual played on average 100 hours a week and two others
respectively played on average 40 and 50 hours a week. These few
extremes make up only 1.5% of our sample data altogether.
Therefore, according to our sample distribution, most adult men that do
play video games are between ages 18 and 27 and are young. And also
according to our sample distribution most men that do play video games do
not play very much, only playing 1 to 10 hours per week. So from our
sample distribution we can see that on average, even young men who do
play video games, do not play more than 10 hours of video games per week.

The biggest difficulty I encountered was communicating with group members.
As we focused on being more clear and concise, it became easier to
understand what the Based on our data, I do not believe a males’ age affects
the number of hours they play video games. There was no obvious correlation
between age and hours of video games played. Although, I am not sure we had
an accurate representation of the population. As I stated above, I think it
would have made more sense to also include interview spots specific to
where “gaming” males might frequent, such as video arcades or gaming
stores.
Contributions
Curtis Bryant
Amy Evans
Heaven Kummer
Rachel McNeill
Bonni Patterson
Terri Ronlev