In: Statistics and Probability
You own two small gift shops, one in City A and one in City B.
You...
You own two small gift shops, one in City A and one in City B.
You are interested in which city spends more on Valentine's day
gifts. So you test the claim that the mean amount spent in City A
is greater than the mean amount spent in City B
You wish to test the claim that the mean amount spent in City A
is greater than the mean amount spent in City B at a significance
level of α=0.05α=0.05.
You obtain the following two samples of data from each city.
Each data point is the amount of a Valentine's Day gift
purchase.
City A |
City B |
57.4 |
50.7 |
60.1 |
30.4 |
42.7 |
53.5 |
39.1 |
51.4 |
59.0 |
61.4 |
47.2 |
61.4 |
50.0 |
54.8 |
39.5 |
|
58.2 |
28.4 |
26.4 |
68.7 |
21.0 |
22.7 |
65.4 |
18.1 |
71.4 |
76.8 |
31.4 |
29.0 |
56.2 |
|
- What is the test statistic for this sample?
test statistic = Round to 4 decimal places.
- What is the p-value for this sample?
p-value = Round to 4 decimal places.
- The p-value is...
- less than (or equal to) αα
- greater than αα
- This test statistic leads to a decision to...
- reject the null
- accept the null
- fail to reject the null
- As such, the final conclusion is that...
- There is sufficient evidence to warrant rejection of the claim
that the mean amount spent in City A is greater than the mean
amount spent in City B.
- There is not sufficient evidence to warrant rejection of the
claim that the mean amount spent in City A is greater than the mean
amount spent in City B.
- The sample data support the claim that the mean amount spent in
City A is greater than the mean amount spent in City B.
- There is not sufficient sample evidence to support the claim
that the mean amount spent in City A is greater than the mean
amount spent in City B.