Programme Outlines and Overviews

The course focuses on basic proability theory and relevant statistical inference methods that are used when analyzing a data set. Random variability is a fundamental concept. The course includes the following elements: - Basic probability theory - Random Variables - Discrete and continuous distributions, especially the normal distribution - The Central limit theorem with applications - Descriptive statistics - Point estimates and interval estimates - Hypothesis testing - Simple linear regression analysis - Correlation