Statistical analysis is about how you in the most effective way describe and draw conclusions from different types of data material which in some way has been observed, measured or in any other way been collected from reality. Most often these kinds of data material demonstrate a certain natural inside variation which you then try to desribe with the help of some probability theoretical model. The conclusions we try to make can then be formulated in terms of the parameters which are included in the model, for instance the expected value and variance of a normal distribution. The classical methods which we go throughout the course concern estimation of the parameter value, including statistical incorrect percentages, and statistical hypothesis testing.
The course's goal is to both transfer understanding for a statistical thinking process, and to teach basic methods of statistical analysis. This happens both theoretically through lectures and excercises, and practically through computer labs.