# MAT-15403 Statistics 2

## Course

Credits 3.00

 Teaching method Contact hours 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 dr. JA Hageman dr. G Gort dr. EJ Bakker NGWM van Strijp-Lockefeer drs. LCP Keizer dr. ir. E Heuvelink WJ Buist 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

### Registration:

MAT-15403 (in concert with MAT-15303), with emphasis on an understanding of the basics of statistics, prepares students for intermediate statistics 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 mains; simple regression and correlation, estimation, hypothesis testing and construction of a confidence interval for intercept and slope; introduction to a current problem in the Life Sciences, e.g. data analysis of micro arrays.

### Learning outcomes:

After this course, the student is expected to be able to:
- show understanding of simple models for inference about population mean in the 1-sample and 2-samples situation or the relationship between two variables, and of the implications of model assumptions,
- perform checks for model assumptions;
- 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 of slope..

### Activities:

Tutorials and (compulsory) computer practicals, analyzing practical data with statistical software. Attend presentations that are motivated by practical problems from the Life Sciences. 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 and practicals, recommended exercises and suggestions for background reading from the book WUR Shop.

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