In: Statistics and Probability
In an effort to promote a new product, a marketing firm asks participants to rate the effectiveness of ads that varied by length (short, long) and by type of technology (static, dynamic, interactive). Higher ratings indicated greater effectiveness.
Source of Variation | SS | df | MS | F |
---|---|---|---|---|
Length | 10 | |||
Technology | ||||
Length × Technology | 156 | |||
Error | 570 | 114 | ||
Total | 826 |
(a) Complete the F-table and make a decision to retain or reject the null hypothesis for each hypothesis test. (Assume experimentwise alpha equal to 0.05.)
Source of Variation |
SS | df | MS | F |
---|---|---|---|---|
Length | 10 | |||
Technology | ||||
Length
× Technology |
156 | |||
Error | 570 | 114 | ||
Total | 826 |
Please help, I'm having trouble answering. Thank you!
So, using this information we can now directly obtain the ANOVA table.
Note that in our example, p=2. q=3 and m=20.
and SS(due to technology)= Total SS - (SS due to length+SS due to interaction effect+ SS due to error)
Hence, 2-way ANOVA table:
Sources of Variation | SS | df | MS | F |
Length | 10 | 1 | 10 | 2 |
Technology | 90 | 2 | 45 | 9 |
Length*technology | 156 | 2 | 78 | 15.6 |
Error | 570 | 114 | 5 | |
Total | 824 | 119 |
For the three hypotheses, Critical values are as follows:
1)
2)
3)
As can be seen, we reject the null hypothesis 2 and 3, since the tabulated values of F > critical values, and conclude that there is significant effect of the factor Technology and the interaction effect on the effectiveness of ads.