# MAT-15403 Statistics 2

## Vak

Studiepunten 3.00

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

Dutch

### Assumed knowledge on:

Active knowledge of statistics from high school (Dutch A-level math), or MAT-15305

### Continuation courses:

MAT-20306, MAT-22306, MAT-24306

### 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 intercep, slope and predictions.

### Learning outcomes:

After this course, the student is expected to be able to:
comprehand 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;
- perform 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;
- perform checks for model assumtions.

### Activities:

Tutorials that are motivated by practical problems from the Life Sciences, including making exercises, and (compulsory) computer practicals, analyzing practical data with statistical software. Prepare and hand in a brief report on a case study.

### Examination:

Multiple-choice exam. The practial 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 (WURshop).

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