|Teaching method||Contact hours|
|Practical intensively supervised||12|
Language of instruction:
Assumed knowledge on:
Active knowledge of statistics from high school (Dutch A-level math), or MAT-15305
MAT-15403 (in concert with MAT-15303), with emphasis on an understanding of the basics of statistics, prepares students for intermediate statistics courses: MAT-20306, MAT-22306, MAT-24306
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 mains; simple regression and correlation, estimation, hypothesis testing and construction of a confidence interval for intercept and slope; introduction to a current problem in the Life Sciences, e.g. data analysis of micro arrays.
After this course, the student is expected to be able to:
- show understanding of simple models for inference about population mean in the 1-sample and 2-samples situation or the relationship between two variables, and of the implications of model assumptions,
- perform checks for model assumptions;
- perform 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 of slope..
Tutorials and (compulsory) computer practicals, analyzing practical data with statistical software. Attend presentations that are motivated by practical problems from the Life Sciences. Prepare and hand in a brief report on a case study.
Multiple-choice exam. The practial has to result in a pass.
Statistical Methods and Data Analysis by R. Lyman Ott and Michael Longnecker (ISBN 0495109142,6th edition). A Study Guide provides an introduction to tutorials and practicals, recommended exercises and suggestions for background reading from the book WUR Shop.