Students know how to calculate confidence intervals for model parameters and significance levels for statistical hypotheses on model parameters from empirical data and their statistical models consisting of basic models for categorical and continuous responses.
Contents
Methods of statistical inference are used to find out informative conclusions from data which contains noise and random components. It is also possible to estimate confidence of these conclusions. For a start we have a real data set and statistical model of it. With the data set and model it is possible to construct likelihood function, which is used to test the research hypothesis.