I am currently taking Stats(AP class in the USA, IB level elsewhere), and hope that I can help. A traditional probability test will take four frequencies(Male smokers, female smokers, male nonsmokers, and female nonsmokers) and tell you if there is a correlation with an X^2 test. Bayescraft lets you use gender as a way to predict the likelihood of smoking, or use smoking to predict gender.
The fundamental difference, as far as I can tell, is that Statistics takes results about samples and applies them to populations. Bayescraft takes results about priors and applies them to the future. The two use similar methodology to address fundamentally different questions.
I am currently taking Stats(AP class in the USA, IB level elsewhere), and hope that I can help.
A traditional probability test will take four frequencies(Male smokers, female smokers, male nonsmokers, and female nonsmokers) and tell you if there is a correlation with an X^2 test.
Bayescraft lets you use gender as a way to predict the likelihood of smoking, or use smoking to predict gender. The fundamental difference, as far as I can tell, is that Statistics takes results about samples and applies them to populations. Bayescraft takes results about priors and applies them to the future. The two use similar methodology to address fundamentally different questions.