ST501: Science Statistics (5 ECTS)

STADS: 25002001

Level
Bachelor course

Teaching period
The course is offered in the spring semester.
4th quarter.

Teacher responsible
Email: bentj@stat.sdu.dk

Timetable
Show entire timetable
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Revison of timetable:
: Lokaler til forelæsninger ændret hvor det var muligt.

Comment:
Ubegrænset deltagerantal. 4. kvartal.

Prerequisites:
None

Academic preconditions:
The contents of the courses Calculus I and II must be known.

Course introduction
To introduce elementary methods from probability theory and statistics with a view to analyzing experimental data. The participants will learn to use a statistical computer package for data analysis.

Expected learning outcome
At course end the student will be able to:

• identify problems that can be solved by means of statistics and probability;
• plan the collection of data and calculating sample sizes;
• describe data using graphical and numerical methods from descriptive data analysis;
• perform simple probability calculations using distributions and random variables;
• know standard probability models and identify their areas of application;
• model experimental data using simple statistical models;
• check the correctness of a statistical model;
• estimate parameters in a simple statistical model, and calculating confidence intervals for the parameters;
• test simple statistical hypotheses and interpret the results;
• analyze data using simple regression methods;
• apply a statistical computer package for carrying out simple statistical calculations;
• evaluate critically the relevance of the methods applied and the ensuing inferences;
• formulate statistical results in non-technical terms.

Subject overview
Descriptive data analysis, experimental design, probability, random variables, mean, variance, co-variance, standard probability models, parameter estimation, confidence intervals, hypothesis tests, regression, comparison of groups.

Literature

Meddeles ved kursets start.

Syllabus
See syllabus.

Website
This course uses e-learn (blackboard).

Prerequisites for participating in the exam
None

Assessment and marking:
a) Digital multiple choice exam (open book) and mandatory assignments during the course, evaluated collectively, 7-point grading scale, internal examiner.
During the course mandatory assignments must be handed in. The evaluation accounts for 20% of the final grade for the course.
The multiple choice exam accounts for 80% of the final grade for the course.

Reexamination after 4th quarter in August. The re-exam may differ from the ordinary exam.

Expected working hours
The teaching method is based on three phase model.

Forelæsninger (28 timer), eksaminatorier (12 timer) og laboratorieøvelser (7 timer).
Educational activities

Language
This course is taught in Danish.

Course enrollment
See deadline of enrolment.

Tuition fees for single courses
See fees for single courses.