A two-factor experiment
data from a factorial experiment consisting of 2 levels of factor A, is levels 1 and 2, and 3 levels of factor B, is levels 1, 2, and 3
factor B
level 1 level 2 level 3
level 1 135 90 75
factor A 165 66 93
level 2 125 127 120
95 105 136
Create an ANOVA table! And what can you conclude? α = 0.05
(Use manual calculations and Minitab software)
SUMMARY | level 1 | level 2 | level 3 | Total | ||
level 1 | ||||||
Count | 2 | 2 | 2 | 6 | ||
Sum | 300 | 156 | 168 | 624 | ||
Average | 150 | 78 | 84 | 104 | ||
Variance | 50 | 288 | 162 | 1376.8 | ||
level 2 | ||||||
Count | 2 | 2 | 2 | 6 | ||
Sum | 220 | 232 | 256 | 708 | ||
Average | 110 | 116 | 128 | 118 | ||
Variance | 450 | 242 | 128 | 231.2 | ||
Total | ||||||
Count | 4 | 4 | 4 | |||
Sum | 520 | 388 | 424 | |||
Average | 130 | 97 | 106 | |||
Variance | 700 | 658 | 742 | |||
ANOVA | ||||||
Source of Variation | SS | df | MS | F | P-value | F crit |
Factor A | 588 | 1 | 588 | 2.672727 | 0.153198 | 5.987378 |
Factor B | 2328 | 2 | 1164 | 5.290909 | 0.047376 | 5.143253 |
Interaction | 4392 | 2 | 2196 | 9.981818 | 0.012341 | 5.143253 |
Error | 1320 | 6 | 220 | |||
Total | 8628 | 11 |
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