In: Statistics and Probability
Below is the data of a factorial experiment consisting of 2 levels of factor A, ie levels 1 and 2, and 3 levels of factor B, ie 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)
In minitab -> Stat -> Anova -> General Linear model
Since P-value for Factor A = 0.202 > 0.05, so at 5% level of significance, we can conclude that factor A has no significant effect on response.
P-value for Factor B = 0.077 > 0.05, so at 5% level of significance, we can conclude that factor B has no significant effect on response.
Moreover, P-value for interaction between Factor A and Factor B = 0.022 < 0.05, 0.05, so at 5% level of significance, we can conclude that there is significant interaction present between Factor A and Factor B on response values.