Okay, let's try this again. As the above numbers are bungled and mislabeled I did everything from scratch. The results are perhaps somewhat surprising, and I am thus posting them out of the kindness of my heart.
Same setup, 4 oil corps.
High 1: Average Product Quality: 274. Strat: Sell at a high % above quality.
High 2: Average Product Quality: 265. Strat: Sell at a high % above quality.
Low 1: Average Product Quality: 267. Strat: Sell at a high% below quality.
Low 2: Average Product Quality: 272. Strat: Sell at 0% above quality.
All corps had welfare 109.98, tax 30%, production/quality process 225, 100% employment etc.
The results:
Graph 1: http://imgur.com/5vqxvT7%2CEgLxiGf
Now onto more interesting stuff. High 2 and Low 2 have very similar levels of profit, despite the first selling at 40% over quality and the latter selling at 0% over market quality. However, there is a differenc
What we are dealing with when you distill it down, is coded mathematics. I reckon there is a built in 'randomness' in the way most of this works. There are certain predictable, set, equations that have been either given by the GM over time or worked out by players for some of the game mechanics but I have never seen anything that is even semi-solid regarding the markets. If you had the code... you could reverse engineer it, but we don't. And of course, there is no true randomness in possible in current computing, so it would be aa approximate random element.
Dunno, something to consider, unless you really feel like doing a large study on it. Thesis idea for an under-grad ?