There has been a lot of discussion about the various terms found in AucAdv's tooltip: "Average", "Mean", "Median", "Std Deviation", "IQR"
To explain let's use the data set: 3, 5, 6, 7, 9, 10, 12, 14, 14, 35, 50
The StdDev stat module uses "Mean" and "Std Deviation" "Mean" is the same thing as "Average". The Average of the above set is the sum of the values divided by the size of the set: 165/11 = 15 <- The average
The Std Deviation uses a fairly complicated formula, but is basically a number that shows how "spread out" a set of numbers is The Std Deviation for our number set is 14.4, meaning that (as it's fairly large compared to the average) it's fairly spread out.
Std Dev also reports a "Normalized" mean, which means that any data that's 1.5*(Std Dev) away from the mean gets ignored. In this case, 15+(1.5*14.4) = 36.6, so we would ignore the 50, making our Normalized mean be 115/10 = 11.5
The Histogram stat module uses "Median" and "IQR" The Median is the middle value in a distribution, above and below which lie an equal number of values. 3,5,6,7,9,10,12,14,14,35,50 1 2 3 4 5 ^^ 5 4 3 2 1 10 is the median
The "quartile" points (called Q1 and Q3), are the midpoints between the median and the min or max, respectively: 3,5,6,7,9,10,12,14,14,35,50 1 2 ^ 2 1 ^^ 1 2 ^^ 2 1 So our "5-number Summary" is now: Min: 1 Q1: 6 Median: 10 Q3: 14 Max: 50
The IQR(Interquartile range) is the difference between the third and first quartiles. Like Std Deviation, it's a measure of how spread out the numbers are. 14-6 = 8, so our IQR is 8
So to reiterate, our dataset would return for StdDev: Mean: 15 Normalized: 11.5 Std Deviation: 14.4
Scrimpy: You don't need to know this, please use Auctionator like you said in 5 other threads and be happy. The wow economy (and Auctioneer traders) need regular non-traders selling stuff so we can resell. If you're one of these people and you don't like the new SimpleAuction post tab, then just leave and be happy that you've found an alternative that makes you happy.
Well I'm no maths expert but I found this (at least the Histogram bit) very helpful. At least now I have some idea what that means to make use of the data. Thanks