Statistical Methods

2018-2019

Course Objective

After 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
way;
- 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 Methods

Lectures (2x2hours), exercise classes (2 hours) and computer classes (2
hours).

Method of Assessment

Mandatory (group) assignments and exams (midterm and final, both
mandatory).
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
(100%).
Both, the exam grade and the average assignment grade, have to be at
least 5.5 in order to pass the course.

Literature

Mario F. Triola "Elementary Statistics" Twelfth Edition (Pearson New
International Edition) ISBN 978-1-292-03941-1

Target Audience

2CS, 2LI, 2IMM

General Information

Course Code X_401020
Credits 6 EC
Period P2
Course Level 200
Language of Tuition English
Faculty Faculty of Science
Course Coordinator dr. D. Dobler
Examiner dr. D. Dobler
Teaching Staff dr. D. Dobler

Practical Information

You need to register for this course yourself

Last-minute registration is available for this course.

Teaching Methods Seminar, Lecture, Practical
Target audiences

This course is also available as: