|Teaching method||Contact hours|
Language of instruction:
MAT-15403 Statistics 2.
Data collection; descriptive statistics; practical notion of probability; basic probability theory; derivation of the binomial distribution; normal distribution; principles of hypothesis testing for the binomial test; normal approximation (z-test); properties of the mean of a random sample as an estimator of a population mean; basic notion of consistency.
Ethical issues, as touching upon good statistical practice, will be discussed in class.
After this course, the student is expected to be able to:
- demonstrate a practical notion of the basic ideas of data collection and of descriptive statistics;
- apply simple probability calculus;
- calculate probabilities for the binomial and normal distributions;
- reproduce the principles of hypothesis testing;
- apply a binomial test and the approximation of this test (z-test);
- demonstrate understanding of the consistency of an estimator.
Tutorial's that are motivated by practical problems from the Life Sciences, including making exercises, and (compulsory) computer practicals, analysing data.
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, reading guide for the book and the computer practical. (available: WUR-shop).
|Compulsory for:||BBC||Management and Consumer Studies||BSc||6MO|
|BIN||International Development Studies||BSc||5AF|
|BIL||International Land and Water Management||BSc||2AF|
|BVG||Nutrition and Health||BSc||1MO|
|BCL||Communication and Life Sciences||BSc||5AF|
|BGM||Health and Society||BSc||5AF|
|Restricted Optional for:||BBI||Biology||BSc||1AF|
|BSW||Soil, Water, Atmosphere||BSc||1AF|
|BBN||Forest and Nature Conservation||BSc||2MO|
|BLP||Landscape Architecture and Planning||BSc||2MO|
|BML||Molecular Life Sciences||BSc||1AF|