Originally posted by Sean1995
Then obviously you didn't read any of my previous posts. Okay, long thing short, stobie's data can be misleading and doing it on one QB can make things more accurate. That's why I did it.
They key words in your statement are: can and can. [Emphasis above is my edit.]
You've entered the world of forecasting errors be using a small sample. Are we going to start getting into t-tests and Type I vs. Type II errors?
How do you propose we normalize for all of the multi-variable co-factors that are implicit when analyzing just one QB?
Then obviously you didn't read any of my previous posts. Okay, long thing short, stobie's data can be misleading and doing it on one QB can make things more accurate. That's why I did it.
They key words in your statement are: can and can. [Emphasis above is my edit.]
You've entered the world of forecasting errors be using a small sample. Are we going to start getting into t-tests and Type I vs. Type II errors?
How do you propose we normalize for all of the multi-variable co-factors that are implicit when analyzing just one QB?
Edited by Xars on Aug 30, 2014 20:39:08






























