ST801: Applied Statistics (5 ECTS)

STADS: 25001701

Level
Master's level course

Teaching period
The course is offered in the autumn semester.
1st quarter.

Teacher responsible
Email: hcpetersen@stat.sdu.dk

Timetable
Show entire timetable
Show personal time table for this course.

Comment:
Ubegrænset deltagerantal. Kurset kører i 1. kvartal.

Prerequisites:
None

Academic preconditions:
The content in one of the courses ST501 Science Statistics or ST503 Statistics for Biologists is assumed known.

Course introduction
To introduce advanced methods in applied statistics with regard to analyzing data from experiments or field investigations.

Expected learning outcome
• choose an appropriate method of analysis;
• analyze data using analysis of ANOVA;
• analyze data using multiple regression;
• explain the principles for using logistic regression;
• explain the principles for using survival data;
• perform ”goodness-of-fit” tests;
• avoid classical inferende errors (e.g. mass significance, pseudoreplication);
• interpret a statistical data analysis with more than two variables.

Subject overview
General linear models, including analysis of variance ANOVA and multiple regression, logistic regression, survival analysis, and problems of design and inference.

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) Mandatory assignments graded pass/fail. Internal censorship by the teacher.
(b) Written project followed by oral exam graded according to the Danish 7-scale. Internal censorship.
. Active participation in seminars required.

Re-examination after 2nd quarter.
The reexamination can have another form than the ordinary exam.

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

Forelæsninger: 20 timer
Eksaminatorietimer/opgaveregning: 10 timer
Laboratorieøvelser: 10 timer
Eksaminatorier består i seminarer med fremlæggelse ved de studerende.
Educational activities

Language
This course is taught in English, if international students participate. Otherwise the course is taught in Danish.

Course enrollment
See deadline of enrolment.

Tuition fees for single courses
See fees for single courses.