# MAT-15303 Statistics 1

## Course

Credits 3.00

 Teaching method Contact hours Tutorial 26 Practical 12 Independent study 0
 Course coordinator(s) drs. H Engel dr. ir. EPJ Boer Lecturer(s) dr. J Engel MSc RM Hu J van den Boom dr. ing. MPH Verouden dr. ing. M Knotters dr. SK Schnabel dr. LMW Akkermans NGWM van Strijp-Lockefeer drs. LCP Keizer dr. ir. EPJ Boer drs. H Engel dr ir NA Hartemink dr. ir. J van Heerwaarden ir. SLGE Burgers dr. EJH Korendijk dr DJ Brus KA Mildau G Mooiweer MP van Leeuwen M Wilminkova dr. CGF de Kovel S Harmsen W Li dr. AJ Boevé JA van der Goot B Arouisse V Avagyan BJB Stout Examiner(s) drs. H Engel dr. ir. EPJ Boer

### Language of instruction:

Dutch / English for International Bachelors studies

### Continuation courses:

MAT-15403 Statistics 2.

### Contents:

Note: This course can not be combined in an individual programme with MAT-12806 Mathematics M.

Data collection; descriptive statistics; practical notion of probability; basic probability theory; derivation of the binomial distribution; normal distribution; principles of hypothesis testing; the binomial test and test for a population mean; 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 successful completion of this course students are 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;
- apply a test for the population mean of a normal distribution (with known standard deviation);
- 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. 7th edition, ISBN-13: 978-1-305-26947-7 (6th edition may also be used).
Lecture notes provide an introduction to tutorials, exercises, reading guide for the book and the computer practical. (available at the WUR-shop).

Programme Phase Specialization Period BBC Management and Consumer Studies BSc 1MO 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 BBI Biology BSc 1AF BBT Biotechnology BSc 2AF BSW Soil, Water, Atmosphere BSc 1AF BBN Forest and Nature Conservation BSc 2MO BAS Animal Sciences BSc 2AF BLP Landscape Architecture and Planning BSc 2MO BFT Food Technology BSc 2AF BES Environmental Sciences BSc 1AF BPW Plant Sciences BSc 1AF BAT Biosystems Engineering BSc 1MO BEB Economics and Governance BSc 1MO