Basic concepts like probabilities, conditional probabilities and independent events. Discrete and continuous random variables, especially one dimensional random variables. Measures of location and scale of random variables and data sets. Common distributions and models: normal, binomial and Poisson distribution. Central limit theorem and Law of large numbers.
Descriptive statistics. Graphical visualisation of data sets.
Point estimates and general methods of estimation as the method of maximum likelihood and least squares. General confidence intervals but specifically confidence intervals for mean of normally distributed observations. Confidence intervals for proportions, difference in means and proportions.
Testing statistical hypothesis. Chi2-tests. Linear regression.
