It's more a Poisson distribution. (copied from the wiki, I've been out of stats too long to do the formula from memory)
The probability that there are exactly k occurrences (k being a non-negative integer, k = 0, 1, 2, ...) is
f(k,\lambda)=\frac{e^{-\lambda} \lambda^k}{k!},\,\!
where
* e is the base of the natural logarithm (e = 2.71828...),
* k is the number of occurrences of an event - the probability of which is given by the function,
* k! is the factorial of k,
* λ is a positive real number, equal to the expected number of occurrences that occur during the given interval. For instance, if the events occur on average every 4 minutes, and you are interested in the number of events occurring in a 10 minute interval, you would use as model a Poisson distribution with λ = 10/4 = 2.5.
In your binomial distribution, you are assuming a black/white outcome, and that it will follow a consistent occ/chance ratio. It doesn't. You don't really have a 10% of getting OoC to proc on each swing, there are more factors than that.
Run the numbers if it makes you happy. It makes me happy, as you can tell. :) All the numbers will tell is what Maeliya said:
Quote:
It's good enough to make it worth the 1 talent point it costs thats for damn sure.
Regards,
"Manza" Ohio State University graduate student in the Program of Bio-statistics and Bio-metrics, class of 1998.
- I dropped out because I couldn't stand the ethical reality that statisticians get paid to tell the public something that is "probable" (or improbable) is "the truth".