Designing the experiment
hypothesis testing, different forms of a hypothesis
experimental vs observational statistics
the initial choice of quantization levels
the A/B testing method
repeatable experiments
reproducible experiments
Implementing the experiment
Applying statistical methods
orthodox statistics vs Bayesian statistics
primitive events, definition of probability
counting principles, properties of probability
random variables, sequences, probability mass functions
frequencies, Shannon's entropy, KL-divergence
likelihood, prior & posterior probability, Bayes's rule