XcoldshadowX Level 22 Windia
The uniform distribution is exactly what it sounds like; every outcome has the same probability of occurring. The rolling of a die is an example of a uniform distribution; each outcome of the die has an equal probability of occurring (1/6). If you roll the die many times, you will find that each result appeared an approximately equal number of times. The outcomes will be distributed approximately uniformly link
The normal distribution is a distribution in which the probability of an event decreases as you further deviate from an expected result. For this you can picture the rolling of two dice and taking their sum (assuming each die is independent, which is a safe assumption). There is only one way to get a sum of 2 (1 & 1) or 12 (6 & 6), but multiple ways to get a sum of 3 (1 & 2|2 &1) , a sum of 7 (1&6|2&5|3&4|4&3|5&2|6&1 ). Therefore, you'd expect to get a sum of 7 more than you'd expect to get a sum of 2 or a sum of 12. Here is the [url=http://www.caspercomsci.com/images/diceprogram_files/Image41.gif]theoretical distribution[/url] of summing dice results; each probability is determined by dividing the possible outcomes for each event by the total number out outcomes. For a sum of 2 this is 1/36; for a sum of 7 this is 6/36. If you were to roll a die many times you'd expect the results to resemble this. Notice that the distribution is symmetrical; the probability of getting an 8 is the same as the probability of getting a 6. Also notice the bell-like shape of the distribution. This is characteristic of normal distributions and is known as a Bell Curve.
-Chaos scroll results are independent from each other
-All stats change in the same way (int and mdef have the same probability distribution)
-Chaos scroll changes do not depend on the quantity of a stat on an item as long as the stat exists on the item (a+10 stat changes with the same probability distribution as a +180 stat)
-A stat must be 5 or greater before the chaos scroll(50 or greater for hp/mp) for the result to be recorded. If a stat is less than 5 and a chaos scroll takes the stat away, then I am left with an ambiguous result (was it -5 or -4?). To eliminate this, I will simply ignore the change to a stat that is 4 or less and consider this stat invalid for the current chaos scroll. Since I am assuming that the quantity of a stat does not affect a chaos scroll I've eliminated the issue.
-I will chaos items that will give me many valid results. The items that I am currently focusing on are lvl 70 maple hats (10 valid stats), targa helms, scar helms, and zhelms (8 valid stats)
-The results will be recorded
-After 81 valid changes this is the graph that was produced.
I need to wait for some of my stuff to sell before I can do more. This is a work in progress and I will try to update this thread as much as I can until the results are satisfactory.
-After 248 valid changes this is the graph that was produced.
The Bell Curve is becoming apparent; most values are clustered towards the center of the graph. It's almost obvious at this point that the probability of having a stat change by 5 is not the same as the probability of a stat changing by 1. I'd still like to keep going with this.
If you have any questions or comments, or if you see an error anywhere in my post (a careless definition, spelling error, ect), please let me know. If you'd like to contribute then please post your raw data in the comments.
imgur as an album. Here's an example
EDIT: Added sentences about the Bell Curve
Posted: January 2012 Permalink