Probability ​
Content ​
- Sample space
- event
- axioms of Kolmogorov
- combinatorial probability
- conditional probability
- Bayes rule
- independence
- random variable
- expectation
- variance
- standard deviation
- density
- (cumulative) distribution function and distributions: binomial, hypergeometric, geometric, Poisson, exponential, uniform and normal, joint and conditional distributions
- correlation
- the distribution of the sum and the mean of independent variables
- the Central Limit Theorem and its applications such as the normal approximation of binomial probabilities.