Applied Statistics

COURSE OBJECTIVE
The student knows the basic theory underlying elementary statistics and is able to apply elementary statistical techniques with ESCI and SPSS. The student is able to answer basic research questions on the basis of a statistical analysis and is able to report on the analysis with text, tables and figures.

COURSE CONTENT
This course introduces the basic concepts underlying applied statistics. Its main focus is on estimation of effect sizes and confidence
intervals, and elementary statistical tests. The applied techniques that will be introduced are aimed at description of observed data, and
estimation of and testing null-hypotheses about single population means and proportions, differences between means and proportions, contrast analysis of more than two means in independent and repeated measures designs, and correlation. Tests that will be introduced are the t-test, chi-square test, and the ANOVA F-test.

TEACHING METHODS
Lectures (2 x 2 hours per week) and practicals (1 x 2 hours per week). Weekly assignments (6 in total).

TYPE OF ASSESSMENT
Multiple choice exam (50% of final grade) and assignments (50% of final grade). Both components must be graded at least 5,0 and the average of both components must be at least 5,5.