# MAT-15303 Statistics 1

## Course

Credits 3.00

 Teaching method Contact hours Tutorial 26 Practical 12 Independent study
 Course coordinator(s) drs. H Engel dr. ir. EPJ Boer Lecturer(s) drs. H Engel dr. ir. EPJ Boer dr. EJH Korendijk dr. WT Kruijer dr. SK Schnabel dr. LMW Akkermans drs. LCP Keizer dr. ing. M Knotters dr. ing. A Pielaat NGWM van Strijp-Lockefeer R Scheifes dr. C Dobre dr. ing. MPH Verouden dr. N van der Hoeven O Hammelburg dr DJ Brus P Haccou Examiner(s) drs. H Engel dr. ir. EPJ Boer

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.
Ethical issues, as touching upon good statistical practice, will be discussed in class.

### 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:

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.

### Examination:

- 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.

### 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).

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