![]() |
|
|
|
#1
|
|||
|
Misread that part.
However, I still think that 1. The sample size is likely too small, especially for a bootstrapping method, and 2. It's entirely possible (and looks likely) that the distribution is bimodal, or something else entirely. Perhaps MR in seb even got jacked up. Regarding my experience charming in MM, due to my limited mana regen and the fact that I charm soloed for 3 hours, significant differences in mean charm duration should have made me unable to keep the entire area clear as consistently as I did, mana was tight last time I did this. I'll do some analysis when I get home from work. | ||
|
|
|||
|
#2
|
||||||
|
Quote:
Also the biggest issue with MM is probably that L20 mobs will kill each other pretty fast, so you probably never need long charms when soloing. It's at 50+ when mobs HP starts going crazy that you have more breaks. Quote:
__________________
Raev | Loraen | Sakuragi <The A-Team> | Solo Artist Challenge | Farmer's Market
Quote:
| |||||
|
|
||||||
|
#3
|
||||
|
Quote:
| |||
|
|
||||
|
#4
|
||||
|
Quote:
| |||
|
|
||||
|
#5
|
|||
|
Splorf,
This data makes me quite certain either 1. Charm wasn't nerfed, or 2. Your sample size is WAY too low, additionally it's likely some unknown instrumental variable was in effect here due to the strange distribution. Population mean of 127, with a standard deviation of 121 and a standard error of estimation of 28. This doesn't add up. I think bootstrapping was definitely the wrong method to use. | ||
|
|
|||
|
#6
|
|||||
|
Quote:
I can say that I know the distribution for charm for these types of mobs. You can think of it as being two uniform distrubtions: a "good" charm with say 10% chance, U(6-15 min) and a "normal" charm with say 90% chance, U(0-6 minutes). As your level gets higher or lower I'm not sure whether the midpoint changes or the chance of good/normal changes or both.
__________________
Raev | Loraen | Sakuragi <The A-Team> | Solo Artist Challenge | Farmer's Market
Quote:
| ||||
|
|
|||||
|
#7
|
|||
|
You're right on central limit theorem, that's where I got the numbers I mentioned from.
Given the very high standard deviation, (only 68% of charms last 1 tick to 4 minutes? ) I don't think we can infer that we've reached an accurate mean. Additionally, due to what seems to be negative kurtosis and positive skewness from the distribution, more samples are in order. A lot more. | ||
|
|
|||
![]() |
|
|