In my down time from the daily battles I decided to do some basic data collection to see how the new damages are distributed. It was clear right away that attacks often do damage on the high side or the low side and much less often towards the middle. I used Mathematica 7 to make histograms of the data. My ability to manipulate the ticks and bins proved less than impressive, but the histograms do a good enough job of showing the distributions.
I first decided to test Burn with an S/S Fiendish Imp and Missile with a P/P Warbot in the PvP queue. The range of Burn is 235 to 352, the range of Missile is 289 to 434. I gathered data for 122 Burns and 143 Missiles. When attacks were crits, weak or strong I scaled the data back to its initial damage before the modifier.
The mean of the damage was 298.1, the midpoint of the damage range is 293.5.
The mean of the damage was 370.3, the midpoint of the damage range is 366.
The data gathering process was too slow in the PvP queue so I turned to PvE to speed up the process. I used an S/S Fiendish Imp and an H/H Emerald Shale Hatchling to test Burn. Both of their Burns hit in the 235 to 352 range. I battled Dragonbone Hatchlings in Dragonblight for quick data collection. I gathered data from 430 attacks.
The mean of the damage was 294.9, the midpoint of the damage range is 293.5. That peak is from 18 333 damage attacks and 10 334 damage attacks.
I changed the number of bins to see the data in some different ways.
There were a lot of rabbits as secondary pets so I was able to gather a lot of data on weak attacks. At one point I thought that weak attacks were leading to damage on the low side more often than they should. It turns out I was wrong, there were actually more high attacks with the weak data. It just goes to show how gathering data can easily disprove those things that “seem” to be true.
All of the crits except for one were on the high side (above the midpoint). There were 24 crits in 430 attacks, which is 5.58%. The average of the crits was 334.0.