# MAT-15303 Statistics 1

## Course

Credits 3.00

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

NL and/or EN

### 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;
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).

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