This is the introduction to a series of posts about statistics.
I intend to start slowly and build up to cover one and two-sample t-tests. If things go well, I hope to extend the discussion to linear and non-linear regression. I hope that after reading this series you will be able to explain to your friends what the p value of a regression line means.
My approach is heavily influenced by Harvey Motulsky's book "Intuitive Biostatistics". I highly recommend buying this book, or at least borrowing it from your library and devouring it voraciously. It completely changed the way I think about statistics.
The first post in this series will cover means, standard deviations, and standard errors.