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.