MAT-15403 Statistics 2

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Studiepunten 3.00

Language of instruction:

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).