I am an AP Computer Science Teacher who, while doing professional reading for my discipline, came across a reference to Bayes' Theorem being used in AI (Artificial Intelligence) programming to achieve enhancement of low res graphics and filtering situations such as noise and spam filters. The article brought back a flood of bad memories from my university business and math stat classes as I never could understand Bayes' Theorem. I resolved to conquer my 30 year old nemesis and after many hours of study and reflection believe that I have done so. As I do not access statistical literature I believe that my approach is both original and creative. I felt that, for interested individuals, my labors might be helpful. I emailed my PDF to a co-author of a high school stat book (Mr. David Bock) and while it was clear that he preferred the approach used in his book he encouraged me to share my approach with the AP Statistics teacher community for the sake of discussion and because people learn in different ways and my approach might be helpful for some teachers and students.
As attachments are not allowed on the listserver I am inviting anyone who is interested in my set of lecture notes to email me with the word Bayes in the subject line so that I can differentiate your email from all those sneaky spammers and I will send you what I have. Provide for me an email address that does not block attachments. Also for any of you who teach PreCal I have a _free 112 page PDF_ on teaching logarithms and the number "e" available at www.mathlogarithms.com <http://www.mathlogarithms.com> that I spent over 600 hours developing.