The following output (from MINITAB) presents the ANOVA table for the weld data in Table 9.1 (in Section 9.1). Which pairs of fluxes, if any, can be concluded, at the 5% level, to differ in their effect on hardness?
One-way ANOVA: A, B, C, D
Source DF SS MS F P Factor 3 743.40 247.800 3.87 0.029 Error 16 1023.60 63.975 Total 19 1767.00 S = 7.998 R-Sq = 42.07% R-Sq(adj) = 31.21% |
TABLE 9.1 Brinell hardness of welds using four different fluxes | |||||||
Flux |
Sample Values |
Sample Mean |
Sample Standard Deviation |
||||
A | 250 | 264 | 256 | 260 | 239 | 253.8 | 9.7570 |
B | 263 | 254 | 267 | 265 | 267 | 263.2 | 5.4037 |
C | 257 | 279 | 269 | 273 | 277 | 271.0 | 8.7178 |
D | 253 | 258 | 262 | 264 | 273 | 262.0 | 7.4498 |
There are I = 4 levels, with J = 5 observations at each level, for a total of N = 20 observations in all. To test at level 𝛼 = 0.05, we consult the Studentized range table (Table A.7) to find q_{4,16,.05} = 4.05.
The value of MSE is 63.975. Therefore q_{I,N−I,\alpha} \sqrt{MSE ∕ J} = 4.05\sqrt{63.975 ∕ 5} = 14.49. The four sample means (from Table 9.1) are as follows:
There is only one pair of sample means, 271.0 and 253.8, whose difference is greater than 14.49. We therefore conclude that welds produced with flux A have a different mean hardness than welds produced with flux C. None of the other differences are significant at the 5% level.
Flux | A | B | C | D |
Mean hardness | 253.8 | 263.2 | 271.0 | 262.0 |