Difference between revisions of "Research:Mother Feelbright's Busy Bees"
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At the moment I only have two data sets; the categorizations seem to fit pretty well, but I think more research might be needed to confirm the formula for the pivot point. | At the moment I only have two data sets; the categorizations seem to fit pretty well, but I think more research might be needed to confirm the formula for the pivot point. | ||
| + | |||
| + | It's also not currently clear what the relationship between the categorizations and the bonus/penalty to throwing that results from them is - so more research is needed there. --[[User:Chat|Chat]] 22:49, 3 September 2009 (UTC) | ||
Revision as of 17:49, 3 September 2009
Shaping effect
I have the following research on shaping effects:
| Dollops | 239 bonus | 311 bonus |
|---|---|---|
| 1 | Professional honey handler | Professional honey handler |
| 2 | Professional honey handler | Professional honey handler |
| 3 | Professional honey handler | Professional honey handler |
| 4 | Professional honey handler | Professional honey handler |
| 5 | Ease | Professional honey handler |
| 6 | Ease | Professional honey handler |
| 7 | Ease | Ease |
| 8 | Relative ease | Ease |
| 9 | Relative ease | Ease |
| 10 | (none) | Relative ease |
| 11 | Slight difficulty | Relative ease |
| 12 | Slight difficulty | (none) |
| 13 | Difficulty | Slight difficulty |
| 14 | Difficulty | Slight difficulty |
| 15 | Difficulty | Slight difficulty |
| 16 | Severe difficulty | Difficulty |
| 17 | Severe difficulty | Difficulty |
| 18 | Severe difficulty | Difficulty |
| 19 | Severe difficulty | Severe difficulty |
| 20 | Severe difficulty | Severe difficulty |
From this I've deduced:
- There's a 'pivot point', which seems to be 'sqrt(bonus) - 5.5'
- Dollops <= floor(pivot * 0.5) dollops is 'professional honey handler'
- floor(pivot * 0.5) < dollops <= floor(pivot * 0.75) is 'ease'
- floor(pivot * 0.75) < dollops <= floor(pivot * 0.95) is 'relative ease'
- floor(pivot * 0.95) < dollops <= floor(pivot * 1.05) results in no adverb.
- floor(pivot * 1.05) < dollops <= floor(pivot * 1.25) is 'slight difficulty'
- floor(pivot * 1.25) < dollops <= floor(pivot * 1.55) is 'difficulty'
- floor(pivot * 1.55) < dollops is 'severe difficulty'
At the moment I only have two data sets; the categorizations seem to fit pretty well, but I think more research might be needed to confirm the formula for the pivot point.
It's also not currently clear what the relationship between the categorizations and the bonus/penalty to throwing that results from them is - so more research is needed there. --Chat 22:49, 3 September 2009 (UTC)
