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
Contents:
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 normal 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 probability;
- perform simple probability calculus;
- calculate probabilities for the binomical and normal distributions;
- reproduce the principles of hypothesis testing;
- perform a binomial test;
- demonstrate understanding of the consistency of an estimator.
Activities:
Tutorials, including making exercises, and (compulsory) computer practicals, analyzing data. Attend presentations that are motivated by practical problems from the Life Sciences. Prepare and hand in a brief report on a case study.
Examination:
Multiple-choice exam. The practical has to result in a pass.
Literature:
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, and recommended exercises and background reading from the book (WUR Shop)