Course ObjectiveAfter this course, the student should be able to:
- summarize data graphically and numerically, to describe the most
important characteristics of the data, and to find a suitable model
- make probabilistic manipulations and calculations, calculate an
expected value, and to explain and apply the law of large numbers and
the central limit theorem,
- calculate and interpret confidence intervals in one- and two-sample
problems for means or proportions,
- test hypotheses about means and proportions in one- and two-sample
problems and to interpret the outcome,
- conduct a correlation and linear regression analysis (i.e. estimating
and testing), to predict, and to interpret the results,
- use the chi-square test for categorical data in various fields of
application, explain his/her choice, and interpret the results.
Course Content- Summarising data;
- Basics of probability theory;
- Estimating means and fractions;
- Hypothesis testing for one- and two-sample problems about means and
- Correlation and linear regression;
- Contingency tables.
Teaching MethodsLectures (10x2 hours; in general, two lectures per week),
exercise classes (6x2 hours; in general, once per week),
and computer classes (6x2 hours; in general, once per week).
Attendance to all lectures and classes is not mandatory but strongly
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.
If the resit exam is written, the homework assignment grades still count
towards the final course grade as explained above.
If both partial exams are passed, then doing the resit exam is not
There is no resit possibility for the assignments.
LiteratureMario F. Triola "Elementary Statistics" Twelfth Edition (Pearson New
International Edition) ISBN 978-1-292-03941-1
Target Audience2CS, 2LI, 2IMM
Recommended background knowledgeBasic mathematical knowledge; this includes fractions, square-roots,
sums, and simple manipulations of equations.
|Language of Tuition||English|
|Faculty||Faculty of Science|
|Course Coordinator||dr. D. Dobler|
|Examiner||prof. dr. M.C.M. de Gunst|
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: