Set up the blocked design and perform the analysis.
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A full 25 factorial design was used in this experiment.
Suppose that this experiment had been run in two blocks with ABCDE confounded with the blocks.
Set up the blocked design and perform the analysis.
Data:
| A | B | C | D | E | Response |
| -1 | -1 | -1 | -1 | -1 | 8.11 |
| 1 | -1 | -1 | -1 | -1 | 5.56 |
| -1 | 1 | -1 | -1 | -1 | 5.77 |
| 1 | 1 | -1 | -1 | -1 | 5.82 |
| -1 | -1 | 1 | -1 | -1 | 9.17 |
| 1 | -1 | 1 | -1 | -1 | 7.8 |
| -1 | 1 | 1 | -1 | -1 | 3.23 |
| 1 | 1 | 1 | -1 | -1 | 5.69 |
| -1 | -1 | -1 | 1 | -1 | 8.82 |
| 1 | -1 | -1 | 1 | -1 | 14.23 |
| -1 | 1 | -1 | 1 | -1 | 9.2 |
| 1 | 1 | -1 | 1 | -1 | 8.94 |
| -1 | -1 | 1 | 1 | -1 | 8.68 |
| 1 | -1 | 1 | 1 | -1 | 11.49 |
| -1 | 1 | 1 | 1 | -1 | 6.25 |
| 1 | 1 | 1 | 1 | -1 | 9.12 |
| -1 | -1 | -1 | -1 | 1 | 7.93 |
| 1 | -1 | -1 | -1 | 1 | 5 |
| -1 | 1 | -1 | -1 | 1 | 7.47 |
| 1 | 1 | -1 | -1 | 1 | 12 |
| -1 | -1 | 1 | -1 | 1 | 9.86 |
| 1 | -1 | 1 | -1 | 1 | 3.65 |
| -1 | 1 | 1 | -1 | 1 | 6.4 |
| 1 | 1 | 1 | -1 | 1 | 11.61 |
| -1 | -1 | -1 | 1 | 1 | 12.43 |
| 1 | -1 | -1 | 1 | 1 | 17.55 |
| -1 | 1 | -1 | 1 | 1 | 8.87 |
| 1 | 1 | -1 | 1 | 1 | 25.38 |
| -1 | -1 | 1 | 1 | 1 | 13.06 |
| 1 | -1 | 1 | 1 | 1 | 18.85 |
| -1 | 1 | 1 | 1 | 1 | 11.78 |
| 1 | 1 | 1 | 1 | 1 | 26.05 |
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