# MAT-15403 Statistics 2

## Vak

Studiepunten 3.00

 Onderwijstype Contacturen Tutorial 26 Practical 12 Independent study 0
 Course coordinator(s) dr. ir. EPJ Boer drs. H Engel MSc RM Hu Lecturer(s) dr. C Dobre dr. ing. MPH Verouden dr. ing. M Knotters dr. EJH Korendijk dr. LMW Akkermans dr. SK Schnabel ir. SLGE Burgers drs. LCP Keizer drs. H Engel dr. ir. EPJ Boer dr ir NA Hartemink dr. ir. J van Heerwaarden dr. EJ Bakker dr. CGF de Kovel dr DJ Brus BJB Stout V Avagyan S Gugushvile dr. P Behrouzi PhD G Mooiweer MSc RM Hu J van den Boom AP Languillaume NGWM van Strijp-Lockefeer Examiner(s) drs. H Engel dr. ir. EPJ Boer

### Language of instruction:

Spoken language Dutch or English (depending on the study program), all written materials in English, examination in English

### Assumed knowledge on:

Active knowledge of statistics from high school (Dutch A-level math), or MAT-15303 Statistics 1.

### Continuation courses:

MAT-20306 Advanced Statistics; MAT-22306 Quantitative Research Methodology and Statistics; MAT-24306 Advanced Statistics for Nutritionists.

### Contents:

Building on an understanding of (simple) models, implications of model assumptions, interpretation of parameters; checking model assumptions; testing hypotheses for population means, for the 1-sample and 2-samples situations, for independent normal data (t-test); construction of a confidence interval for a population mean, or difference in means; simple linear regression and correlation, estimation, hypothesis testing and construction of a confidence interval for intercept, slope and predictions.
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:
- comprehend basic ideas of the discussed methods;
- determine the appropriate statistical procedure, given the description of the experiment, the research question and the type of data;
- apply a hypothesis test for a (difference of) population mean(s), intercept or slope (t-test);
- construct a confidence interval for a (difference of) population mean(s), intercept, slope and predictions;
- show understanding of the implications of model assumptions;
- apply checks for model assumptions.

### Activities:

- tutorials that are motivated by practical problems from the Life Sciences, including making exercises;
- and (compulsory) computer practicals, analysing practical data with statistical software;
- 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, and a reading guide for the book and the computer practicals. Available: WUR-shop.

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