STAT177 Homework sheet #6 Solutions
Question 1
a)
The data is
interval/ratio, the samples are independent and the sample sizes are over 30. The
appropriate test is the Z test for 2 means.
b)
The data is
interval/ratio, the samples are independent, but the data is not normal. The
appropriate test is the Mann-Whitney test.
c)
The data is ordinal
and the samples are dependent. The appropriate test is the Wilcoxon test.
d)
The data is interval/ratio,
the data is normal, the samples are independent, the sample sizes are under 30
and the standard deviations are equal. The appropriate test is the t test
assuming equal variances.
e)
The data is
interval/ratio, the data is normal and the samples are dependent. The
appropriate test is the paired t test.
Question 2
If we choose downtown as group 1, the null and alternative hypotheses
are:
Ho: m1 = m2
Ha: m1 ¹ m2
Question 3
Here is the output:
|
t test
for two means assuming unequal variances |
|
Ho:
mean(Downtown) - mean(Suburbs) equals 0 |
|
Ha:
mean(Downtown) - mean(Suburbs) does not equal 0 |
|
Reject Ho
if test statistic > 2.201 or < -2.201 |
|
Test
statistic = 0.591 |
|
P-value =
0.567 |
|
Do not
reject Ho |
|
Conclude
mean(Downtown) - mean(Suburbs) equals 0 |
|
95%
confidence interval of mean(Downtown) - mean(Suburbs): -72.904 to 126.404 |
Under the general rule of thumb, since the p-value is greater than 10%,
we do not reject the null hypothesis. We conclude there is no significant
difference in average daily rates between downtown and suburban hotels.
Question 4
If we choose After as group 1, the null and alternative hypotheses are:
Ho: m1 £ m2
Ha: m1 > m2
Question 5
The data is ordinal and the samples are independent. The appropriate
test is the Mann-Whitney test.
Question 6
Here is the output:
|
Mann-Whitney
test for two medians |
|
Ho:
median(After) - median(Before) is not greater than 0 |
|
Ha:
median(After) - median(Before) is greater than 0 |
|
Reject Ho
if test statistic > 84 |
|
Sample
sizes = 8 and 8 |
|
Test
statistic = 88 |
|
Reject Ho |
|
Conclude
median(After) - median(Before) is greater than 0 |
Since the test statistic is greater than the critical value, we reject
the null hypothesis. We conclude the ratings are improved.
Question 7
Under this scenario, the samples would be dependent. The appropriate
test would be the Wilcoxon test.
Question 8
Here is the output:
|
Wilcoxon
test for paired data |
|
Ho:
median(After) - median(Before) is not greater than 0 |
|
Ha:
median(After) - median(Before) is greater than 0 |
|
Reject Ho
if test statistic less than or equal to 2 |
|
Sample
size = 6 |
|
Test
statistic = 1.5 |
|
Reject Ho |
|
Conclude
median(After) - median(Before) is greater than 0 |
Since the test statistic is less than the critical value, we reject the
null hypothesis and reach the same conclusion as in question 6.
Question 9
The data is interval/ratio, the data is normal and the samples are
dependent. The appropriate test is the paired t test.
Question 10
Here is the output:
|
paired t
test |
|
Ho: mean(After)
- mean(Before) is not greater than 0 |
|
Ha:
mean(After) - mean(Before) is greater than 0 |
|
Reject Ho
if test statistic > 1.895 |
|
Test
statistic = 5.848 |
|
P-value =
0 |
|
Reject Ho |
|
Conclude
mean(After) - mean(Before) is greater than 0 |
|
95%
confidence interval of mean(After) - mean(Before): 34.771 to 81.979 |
Note that this was set up as a right-tail test with After as group 1.
The p-value is less than the level of significance. We reject the null
hypothesis and conclude the loyalty program is effective.
Question 11
Under the general rule of thumb, since the p-value is less than 1%, we
reject the null hypothesis and reach the same conclusion.