I was in a bookstore today and read a book called "Statistics Hacks" there was a particularly useful section about regression toward the mean. Basically what it means is if you score far below the avg. for the first score, when you take it a second time you are almost guaranteed to improve without even studying. On the other end, if you do much better than avg. when you take it a second time you are very likely to do worse than your first attempt. It is based on 2 things: 1. Your score 2. Test reliability.
Most major tests publish their expected reliability and expected std. dev. then you can compute the standard error which will help give you positive thoughts because that will prove that you will almost certainly do better.
Thought I would share this with you guys I know several of you want to go to law school, others might find this useful on other standardized tests such as ACT, SAT, MCAT, and GRE. The book is really awesome. I spend 1.5 hours in the bookstore reading through it. If anyone is interested in more math behind it let me know. It covers tons of real world areas of statistics. I am sure everyone has had some of these questions and thought I know there is a way to solve that but I don't know how or where to start.. this book is it.
__________________
Success is contagious!
Be the change you want to see in the world. | 
