MAT-15303 Statistics 1
Course
Credits 3.00
Teaching method | Contact hours |
Practical intensively supervised | 12 |
Tutorial | 25 |
Self-study |
Language of instruction:
Dutch
Continuation courses:
MAT-15403 Statistics 2.
Contents:
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.
Learning outcomes:
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.
Activities:
Tutorials that are motivated by practical problems from the Life Sciences, including making exercises, and (compulsory) computer practical's, analysing data.
Prepare and hand in a brief report on a case study.
Examination:
- open book examination consisting of multiple choice questions;
- the computer practical (attendance compulsory) has to result in a pass;
- CAS: yes.
Literature:
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).