MAT-15303 Statistics 1

Course

Credits 3.00

Teaching methodContact hours
Tutorial26
Practical12
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

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.
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).

ProgrammePhaseSpecializationPeriod
Compulsory for: BBCManagement and Consumer StudiesBSc6MO
BINInternational Development StudiesBSc5AF
BILInternational Land and Water ManagementBSc2AF
BVGNutrition and HealthBSc1MO
BCLCommunication and Life SciencesBSc5AF
BGMHealth and SocietyBSc5AF
Restricted Optional for: BBIBiologyBSc1AF
BBTBiotechnologyBSc1AF
BSWSoil, Water, AtmosphereBSc1AF
BBNForest and Nature ConservationBSc2MO
BASAnimal SciencesBSc2AF
BLPLandscape Architecture and PlanningBSc2MO
BFTFood TechnologyBSc1MO
BESEnvironmental SciencesBSc1AF
BMLMolecular Life SciencesBSc1AF
BPWPlant SciencesBSc1AF
BATBiosystems EngineeringBSc1MO