Probability and statistics

By the end you’ll be able to

• Compute probabilities with counting, complements, conditional probability, independence and Bayes’ theorem
• Work with discrete (binomial, geometric, Poisson, uniform) and continuous (uniform, exponential, normal) distributions, their densities and cumulative distribution functions
• Compute expectation, variance and standard deviation using linearity of expectation and indicator variables