In: Statistics and Probability
Sample |
Conductivity reading |
Vendor |
Temperature (oC) |
1 |
79 |
A |
250 |
2 |
76 |
A |
250 |
3 |
83 |
A |
250 |
4 |
84 |
A |
250 |
5 |
78 |
A |
250 |
6 |
59 |
A |
200 |
7 |
61 |
A |
200 |
8 |
62 |
A |
200 |
9 |
58 |
A |
200 |
10 |
60 |
A |
200 |
11 |
83 |
B |
250 |
12 |
84 |
B |
250 |
13 |
86 |
B |
250 |
14 |
88 |
B |
250 |
15 |
84 |
B |
250 |
16 |
44 |
B |
200 |
17 |
46 |
B |
200 |
18 |
47 |
B |
200 |
19 |
43 |
B |
200 |
20 |
45 |
B |
200 |
The following table reveals the result of design of experiment (DOE) for the data above:
Term Coefficient SE Coefficient T-Value P-Value
Constant 67.500 0.506 133.34 0.000
Vendor -2.500 0.506 -4.94 0.000
Temp 15.000 0.506 29.63 0.000
Vendor x Temp 5.000 0.506 9.88 0.000
Questions:
a. What is the main effect ov Vendor and Temperature and what do they mean?
Here both temperature and vendor are having an impact on the conductivity
The temperature and vendor when having an independent impact on conductivity without the influence of each other are called as main effect
Term | Coeff | SE Coeff | T-Value | P-value |
Constant | 67.5 | 0.506 | 133.34 | 0 |
Vendor | -2.5 | 0.506 | -4.94 | 0 |
Temp | 15 | 0.506 | 29.63 | 0 |
VendorXtemp | 5 | 0.506 | 0.88 | 0 |
From the table above, the coefficient of temp and vendor given as -2.5 and 15 are the main effects. Further, the p-value of 0 signifies that these effects are significant and cannot be ignored
A vendor main effect of -2.5 means that for the change in vendor, there is a change of conductivity by -2.5
More specifically, when vendor A is changed to vendor B, the conductivity reduces by -2.5
Further temperature main effect of 15 implies that when temperature jumps from 200 deg C to 250 deg C,there is an increase in conductivity by 15 units
b. What is the Interaction effect and what does it mean ?
Interaction effect means combined impact of temperature and vendor change on the conductivity
The coefficient for VendorXtemp is 5. i.e when vendor changes from A to B and temperature increases from 200 to 250, the conductivity increases only by 5. This is different compared to main effects since those were independent impact on conductivity. As we saw earlier, only a temperature change was resulting in increase of conductivity by 15 however a vendor change simultaneously has bought it down to 5 since in the main effect we saw that vendor change from A to B is causing a reduction in conductivity by -2.5
3. What is the temperature that the component of A & B will perform the same?
At lower temperature of 200, the average conductivity for A is 60 compared to 45 for B
At higher temperature of 250, the average conductivity for A is 80 compared to 85 for B
So as temperature has increased, the gap between average conductivity has reduced for vendors A and B and infact B has become better than A
So at a temperature of 250, the component of A and B will approximately perform the same
4. Which vendor should Stephen select if AX200B5 is used at temperature >240oC?
Considering the logic similar to question 3 above, as temperature has gone from 200 to 250, vendor B is giving a better conductivity than B. Hence for temperature > 240 oC, Stephen should select vendor B