Temario de la asignatura
Estos bloques orientan el estudio. Adaptamos las clases al programa y al material que estés trabajando.
1
Fundamental elements of statistics
- Population, sample, parameter and statistic
- Variable types, observational studies and experiments
2
Graphical methods for descriptive statistics
- Frequency distributions
- Charts for numerical and categorical variables
3
Numerical measures for descriptive statistics
- Position and dispersion
- Shape, covariance and correlation
4
Probability rules and conditional probability
- Events and probability laws
- Conditional probability, independence and Bayes’ rule
5
Discrete random variables and distributions
- Expected value and variance
- Bernoulli, binomial, geometric, negative-binomial, Poisson and hypergeometric models
6
Continuous random variables and distributions
- Density and cumulative distribution functions
- Uniform, exponential and normal models
7
Joint probability distributions
- Marginal and conditional distributions
- Covariance and dependence between random variables