Course ObjectiveAfter this course, the student should be:
- familiar with basic principles and techniques of statistics;
- able to apply these principles and techniques to data using the
statistical package R;
- able to present results from statistical analyses in a clear, concise
- able to interpret and critically evaluate these results.
Course Content- Summarising data;
- Basics of probability theory;
- Estimating means and fractions;
- Hypothesis testing for one- and two-sample problems;
- Correlation and linear regression;
- Contingency tables.
Teaching MethodsLectures (2x2hours), exercise classes (2 hours) and computer classes (2
Method of AssessmentMandatory (group) assignments and exams (midterm and final, both
You will work on assignments during weekly computer classes.
In the case that one of the exams (midterm or final) is not passed, a
resit exam can be taken which covers the whole lecture material.
The final grade consists of the following components (with the indicated
weights): the exam grade (75%) and the average assignment grade (25%).
The exam grade is either the weighted average of the midterm exam grade
(40%) and the final exam grade (60%), or it is the resit exam grade
Both, the exam grade and the average assignment grade, have to be at
least 5.5 in order to pass the course.
LiteratureMario F. Triola "Elementary Statistics" Twelfth Edition (Pearson New
International Edition) ISBN 978-1-292-03941-1
Target Audience2CS, 2LI, 2IMM
|Language of Tuition||English|
|Faculty||Faculty of Science|
|Course Coordinator||dr. D. Dobler|
|Examiner||dr. D. Dobler|
dr. D. Dobler
You need to register for this course yourself
Last-minute registration is available for this course.
|Teaching Methods||Seminar, Lecture, Practical|
This course is also available as: