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 mean sleep quality indices for females and males, respectively. The appropriate null and alternative hypotheses to test the claim in Question 1 are
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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