4) A company manufacturing solar panels wishes to test two new
prototypes, A and B. The
panels are installed at 12 sites, and the average hourly energy
outputs
are measured for both prototypes. The results of the measurements
are summarized in the
following table,
Site 1 2 3 4 5 6 7 8 9 10 11 12
Prototype A 144.2 113.7 129.1 126.9 129.3 108.7 104.4 125.4 121.2
130.9 111.4 123.1
Prototype B 106.6 111.8 110.3 101.3 108.5 112.2 101.9 111.5 107.2
107.7 108.9 105.8
a) Can these two samples be treated as independent? Why or why
not?
b) Construct a 95% confidence interval on the difference between
the energy outputs.
c) Based on the result of part b), is there an indication that one
prototype is better than the
other? If yes, which one?
Answer:
4) A company manufacturing solar panels wishes to test two new
prototypes, A and B. The
panels are installed at 12 sites, and the average hourly energy
outputs
are measured for both prototypes. The results of the measurements
are summarized in the
following table,
Site 1 2 3 4 5 6 7 8 9 10 11 12
Prototype A 144.2 113.7 129.1 126.9 129.3 108.7 104.4 125.4 121.2
130.9 111.4 123.1
Prototype B 106.6 111.8 110.3 101.3 108.5 112.2 101.9 111.5 107.2
107.7 108.9 105.8
a) Can these two samples be treated as independent? Why or why
not?
The two samples be treated as dependent because the measurements are paired by site.
b) Construct a 95% confidence interval on the difference between
the energy outputs.
Site |
PrototypeA |
PrototypeB |
d=difference(A-B) |
1 |
144.2 |
106.6 |
37.6 |
2 |
113.7 |
111.8 |
1.9 |
3 |
129.1 |
110.3 |
18.8 |
4 |
126.9 |
101.3 |
25.6 |
5 |
129.3 |
108.5 |
20.8 |
6 |
108.7 |
112.2 |
-3.5 |
7 |
104.4 |
101.9 |
2.5 |
8 |
125.4 |
111.5 |
13.9 |
9 |
121.2 |
107.2 |
14 |
10 |
130.9 |
107.7 |
23.2 |
11 |
111.4 |
108.9 |
2.5 |
12 |
123.1 |
105.8 |
17.3 |
Confidence Interval Estimate for the Mean |
|
Data |
|
Sample Standard Deviation |
11.9464 |
Sample Mean |
14.55 |
Sample Size |
12 |
Confidence Level |
95% |
Intermediate Calculations |
|
Standard Error of the Mean |
3.4486 |
Degrees of Freedom |
11 |
t Value |
2.2010 |
Interval Half Width |
7.5904 |
Confidence Interval |
|
Interval Lower Limit |
6.9596 |
Interval Upper Limit |
22.1404 |
95% CI for difference = (6.9596, 22.1404)
c) Based on the result of part b), is there an indication that
one prototype is better than the
other? If yes, which one?
The 95% CI for difference (6.9596, 22.1404) does not contains 0 value. That is both upper and lower intervals are positive. We infer that the mean difference is significantly different from 0. Therefore we conclude that one prototype is better than the other.
4) A company manufacturing solar panels wishes to test two new prototypes, A and B. The...