|Teaching method||Contact hours|
Language of instruction:
Assumed knowledge on:
Active knowledge of statistics from high school (Dutch A-level math), or MAT-15303 Statistics 1.
MAT-20306 Advanced Statistics; MAT-22306 Quantitative Research Methodology and Statistics; MAT-24306 Advanced Statistics for Nutritionists.
Building on an understanding of (simple) models, implications of model assumptions, interpretation of parameters; checking model assumptions; testing hypotheses for population means, for the 1-sample and 2-samples situations, for independent normal data (t-test); construction of a confidence interval for a population mean, or difference in means; simple linear regression and correlation, estimation, hypothesis testing and construction of a confidence interval for intercept, slope and predictions.
Ethical issues, as touching upon good statistical practice, will be discussed in class.
After this course, the student is expected to be able to:
comprehend basic ideas of the discussed methods;
- determine the appropriate statistical procedure, given the description of the experiment, the research question and the type of data;
- apply a hypothesis test for a (difference of) population mean(s), intercept or slope (t-test);
- construct a confidence interval for a (difference of) population mean(s), intercept, slope and predictions;
- show understanding of the implications of model assumptions;
- apply checks for model assumptions.
- tutorials that are motivated by practical problems from the Life Sciences, including making exercises;
- and (compulsory) computer practicals, analysing practical data with statistical software;
- prepare and hand in a brief report on a case study.
- open book examination consisting of multiple choice questions.
- the computer practical (attendance compulsory) has to result in a pass.
- CAS: yes;
Successful partial interim examinations remain valid for a period of 2 years.
R. Lyman Ott; Michael Longnecker. (2013). An introduction to statistical methods and data analysis. 6th ed. ISBN-13: 978-0-495-10914-3.
Lecture notes provide an introduction to tutorials, exercises, and a reading guide for the book and the computer practicals. Available: WUR-shop.