- To compare prices of two local stores, a random sample of items
that are sold in both stores were selected and their price noted in
the first weekend of the year:
(12 marks)
Item
|
Store A
|
Store B
|
Difference (Store A - Store B)
|
1
|
1.65
|
1.99
|
-0.34
|
2
|
8.70
|
8.49
|
0.21
|
3
|
0.75
|
0.90
|
-0.15
|
4
|
1.05
|
0.99
|
0.06
|
5
|
11.30
|
11.99
|
-0.69
|
6
|
7.70
|
7.99
|
-0.29
|
- What are the null and alternative hypothesis if we want to
confirm that on average, prices at Store 1 is different from the
prices at Store 2, that is, the difference is different from
0?
- What are the sample mean difference in prices and the sample
standard deviation?
- Compute the test statistic t used to test the hypothesis.
- Compute the degree of freedom for the test statistic t
- Can we conclude that on average, prices at Store 1 is different
from the prices at Store 2? Use the critical-value approach and α =
0.05 to conduct the hypothesis test.
Use the above data to construct a 95% confidence interval for
the difference in prices between the two stores.