# MAT-15303 Statistics 1

## Vak

Studiepunten 3.00

 Onderwijstype Contacturen Practical intensively supervised 12 Tutorial 25 Self-study
 Course coordinator(s) drs. H Engel dr. ir. EPJ Boer Lecturer(s) drs. H Engel dr. ir. EPJ Boer prof. dr. ir. J Grasman AM Wubs dr. ir. J van Heerwaarden dr. E Neven AJ Dammers NGWM van Strijp-Lockefeer WJ Buist dr. EJH Korendijk dr. WT Kruijer dr. SK Schnabel dr. LMW Akkermans drs. LCP Keizer Examiner(s) drs. H Engel dr. ir. EPJ Boer

Dutch

MAT-15403

### 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;
- perform simple probability calculus;
- calculate probabilities for the binomial and normal distributions;
- reproduce the principles of hypothesis testing;
- perform a binomial 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 practicals, analyzing data. 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, exercises, background reading from the book and the computer practicals (WUR Shop)

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