A factorial experiment involving two levels of factor A and three levels of factor B resulted in the following data.
Factor B | ||||
---|---|---|---|---|
Level 1 | Level 2 | Level 3 | ||
Factor A | Level 1 | 137 | 88 | 75 |
167 | 64 | 93 | ||
Level 2 | 123 | 129 | 120 | |
93 | 107 | 136 |
a) Test for any significant main effects and any interaction. Use α = 0.05.
Find the value of the test statistic for factor A. (Round your answer to two decimal places.)
Find the p-value for factor A. (Round your answer to three decimal places.)
p-value =
b) Find the value of the test statistic for factor B. (Round your answer to two decimal places.)
Find the p-value for factor B. (Round your answer to three decimal places.)
p-value =
c) Find the value of the test statistic for the interaction between factors A and B. (Round your answer to two decimal places.)
Find the p-value for the interaction between factors A and B. (Round your answer to three decimal places.)
p-value =
from excel: data-data analysis: 2 way ANOVA with replication |
Source | SS | df | MS | F | p value |
factor A | 588.00 | 1 | 588.00 | 2.05 | 0.2021 |
factor B | 2328.00 | 2 | 1164.00 | 4.06 | 0.0767 |
interaction | 5048.00 | 2 | 2524.00 | 8.80 | 0.0164 |
error | 1720.00 | 6 | 286.67 | ||
total | 9684.00 | 11 |
a) value of the test statistic for factor A =2.05 | |||
p-value =0.202 | |||
Because the p-value ≥ α = 0.05, factor A is not significant. | |||
b) value of the test statistic for factor B =4.06 | |||
p-value =0.077 | |||
Because the p-value ≥ α = 0.05, factor B is not significant. | |||
value of the test statistic for interaction =8.8 | |||
p-value = 0.016 | |||
Because the p-value < α = 0.05, interaction is significant. |
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