Programme Outlines and Overviews

Some major topics covered in this course are: - Descriptive statistics, - Probability, - Random variables, - The normal distribution, - Sampling and sampling distributions, - Confidence intervals, - Hypothesis testing. Analysis of variance or contingency table analysis may also be covered. **Connection to Research and Practice** This course covers essential statistical topics necessary to understand any research reports and/or articles. The students learn to compile, calculate summary measures, and present different types of data. The aim is also to provide the ability to make simpler probability calculations and, based on statistical assessments draw conclusions about unknown characteristics of different types of populations. The lectures and exercises provided involves many practical examples, and the computer assignment consists of applying the skills and abilities learned throughout the course to real-world data; presenting and evaluating different types of data and to infer properties of populations parameters, e.g., testing hypotheses and deriving estimates.