- Statistics: Descriptive statistics.
- Sets and combinatorics. Probability theory, basic notations.
- Sample spaces, dependent and independent events. Conditional probability. The theorem of total probability.
- Stochastic variables. Expected value, variance and standard deviation.
- Discrete stochastic variables.
- Uniform, hypergeometric distribution.
- The binominal and Poisson distributions.
- Continuous random variables.
- Uniform distribution, exponential and normal distribution.
- Functions of random variables. The central limit theorem.
- Point estimation and confidence intervals for means.
- Digital tools
Further information
Course web HF1906