Exercise S
|
Gender |
Alcohol |
Exercise |
SQI |
GPA |
|
Male |
Yes |
9 |
15.5 |
3.85 |
|
Male |
Yes |
11 |
11.0 |
5.46 |
|
Female |
No |
5 |
11.1 |
3.28 |
|
Female |
No |
6 |
13.9 |
2.37 |
|
Female |
Yes |
8 |
9.9 |
4.63 |
|
Male |
Yes |
11 |
14.5 |
4.58 |
|
Male |
Yes |
9 |
10.6 |
4.96 |
|
Male |
Yes |
11 |
15.1 |
1.02 |
|
Female |
No |
8 |
12.4 |
4.33 |
|
Female |
Yes |
10 |
11.5 |
3.96 |
|
Male |
No |
8 |
10.6 |
5.83 |
|
Male |
Yes |
7 |
11.5 |
6.12 |
|
Male |
Yes |
10 |
10.8 |
2.20 |
|
Male |
Yes |
11 |
12.5 |
2.93 |
|
Male |
Yes |
9 |
16.4 |
4.52 |
|
Female |
Yes |
2 |
14.1 |
4.50 |
|
Male |
Yes |
8 |
15.3 |
1.63 |
|
Female |
No |
6 |
18.0 |
3.09 |
|
Female |
No |
5 |
9.7 |
3.92 |
|
Male |
Yes |
11 |
10.5 |
3.10 |
|
Female |
No |
8 |
13.7 |
5.42 |
|
Male |
Yes |
8 |
14.9 |
2.03 |
|
Female |
No |
7 |
10.9 |
5.90 |
|
Male |
No |
10 |
14.5 |
3.25 |
|
Male |
Yes |
7 |
11.5 |
5.21 |
|
Female |
No |
9 |
11.3 |
3.31 |
|
Male |
Yes |
9 |
11.6 |
2.51 |
|
Male |
No |
10 |
15.6 |
3.88 |
|
Male |
Yes |
10 |
12.3 |
4.33 |
|
Male |
Yes |
11 |
12.2 |
4.49 |
|
Female |
No |
6 |
15.6 |
4.16 |
|
Male |
Yes |
11 |
11.0 |
4.99 |
|
Male |
Yes |
11 |
13.5 |
5.76 |
|
Female |
No |
7 |
11.0 |
3.54 |
|
Female |
Yes |
6 |
8.1 |
4.23 |
|
Male |
Yes |
8 |
17.6 |
3.66 |
|
Male |
Yes |
9 |
9.1 |
6.02 |
|
Male |
Yes |
12 |
13.5 |
3.56 |
|
Male |
Yes |
10 |
18.8 |
3.79 |
|
Female |
No |
8 |
12.8 |
4.59 |
|
Male |
Yes |
8 |
15.4 |
3.20 |
|
Male |
Yes |
9 |
12.6 |
0.98 |
|
Male |
Yes |
8 |
15.8 |
3.43 |
|
Male |
Yes |
8 |
14.2 |
5.68 |
|
Female |
No |
9 |
14.1 |
4.55 |
|
Female |
No |
6 |
14.7 |
3.16 |
|
Female |
No |
7 |
14.6 |
5.41 |
|
Female |
No |
4 |
10.1 |
4.31 |
|
Female |
Yes |
12 |
10.4 |
1.85 |
|
Female |
No |
7 |
11.2 |
3.87 |
|
Male |
Yes |
10 |
11.9 |
2.75 |
|
Male |
Yes |
10 |
8.2 |
6.77 |
|
Male |
Yes |
12 |
17.5 |
5.68 |
|
Male |
Yes |
11 |
8.4 |
5.26 |
|
Female |
No |
10 |
16.1 |
3.85 |
|
Male |
No |
7 |
13.4 |
6.07 |
|
Male |
Yes |
10 |
11.2 |
6.15 |
|
Male |
Yes |
10 |
17.5 |
4.75 |
a)The researchers claim that female students have better sleep quality than male students. The appropriate statistical test for their claim is a
Two-sample t-test
Chi-square test
Two-way ANOVA test
b)
Suppose μF and μM define the population
H0:μF>μM vs H1:μF≤μM
H0:μF=μM vs H1:μF≠μM
H0:μF=μM vs H1:μF>μM
H0:μF=μM vs H1:μF<μM
c)
The test of the hypotheses in Question 2 indicates that there is
moderate evidence to suggest that female students have better sleep quality than male students (p = 0.024)
weak evidence to suggest that female students have better sleep quality than male students (p = 0.077)
no evidence to suggest that female students have better sleep quality than male students (p = 0.148)
no evidence to suggest that female students have better sleep quality than male students (p = 0.296)
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