ST520: Applied Statistics (5 ECTS)

STADS: 25000001

Level
Bachelor course

Teaching period
The course is offered in the spring semester.

Teacher responsible
Email: hcpetersen@stat.sdu.dk

Timetable
Group Type Day Time Classroom Weeks Comment
Common I Monday 08-10 U43 18-21
Common I Tuesday 10-12 U46 17-18,20
Common I Thursday 08-10 U91 17,19,21
S1 TL Monday 10-12 U51 18,20
S1 TE Tuesday 12-14 U51 18
S1 TE Wednesday 16-18 U49 18-21
S1 TL Friday 12-14 U49 19,21
S1 TE Friday 12-14 U49 22
S2 TE Monday 14-16 U49b 19
S2 TE Monday 14-16 U49b 21
S2 TE Monday 12-14 U49 22
S2 TL Tuesday 12-14 U49b 19
S2 TL Tuesday 12-14 U49d 20
S2 TL Wednesday 14-16 U49b 18
S2 TE Wednesday 14-16 U49b 20
S2 TE Thursday 10-12 U49b 19
S2 TE Thursday 10-12 U49b 21
S2 TL Friday 14-16 U49b 21
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Comment:
Der er nu oprettet et ekstra hold, og alle studerende fordelt på på ny.

Ubegrænset deltagerantal. 4.kvartal.

Prerequisites:
None

Academic preconditions:
The material from the course FF506 Mathematics, statistics and physics for biology and pharmacy must be known.

Course introduction
The participants should know the basic principles of and methods for statistical description, analysis and inference in relation to biological research. The participants will learn how to use a statistical software for analyzing data. Furthermore, weight will be put on critical reading of scientific papers, treatises, reports, etc, with regard to applications as well as further mediate the results from these.

Qualifications
The participants will obtain insight into elementary statistical methods, and achieve competences in simple statistical analyses. Furthermore, the will obtain competences in critical evaluation and mediation of research results from the biological sciences. They should be capable of applying the acquired knowledge in relevant situation for:

* utilizing graphics and summary methods for descriptive data analysis;
* describing data using key statistics such as mean, variance, and correlation;
* constructing confidence intervals for key statistics;
* testing simple statistical hypotheses;
* analyzing data using simple regression models;
* designing data collection;
* understanding central elements in published results from statistical analyses of biological data;
* critically evaluating the appropriateness of employed methods and inferences based on these;
* presenting statistical results in non-technical terms;

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

  • utilize graphics and summary methods for descriptive data analysis.
  • describe data using key statistics such as mean, variance, and correlation.
  • construct confidence intervals for key statistics.
  • test simple statistical hypotheses.
  • analyze data using simple regression models.
  • design data collection.
  • understand central elements in published results from statistical analyze of biological data.
  • critically evaluate the appropriateness of employed methods and inferences based on these.
  • present statistical results in non-technical terms.
Subject overview
The foundation for statistical considerations. From population to sample and back again. Basic Parameters and their estimation. Descriptive statistics (tables and graphics). Probabilities and distributions. Hypotheses and principles for tests. Examples of test methods: t-test, chi-square-test. Basic concepts underlying linear models starting from simple linear regression. Basic concepts with regard to study design. Common problems in applied statistics (types of inferential error, mass significance, pseudoreplication). Reading of papers with statistical analyses in the biological sciences.

Literature
  • Meddeles ved kursets start.: .


Website
This course uses e-learn (blackboard).

Prerequisites for participating in the exam
None

Assessment and marking:
  1. Digital written exam (open book) and mandatory assignments during the course, evaluated collectively, 7-point grading scale, internal examiner. (25000002)
    During the course mandatory assignments must be handed in. The evaluation accounts for 20% of the final grade for the course.
    The written exam accounts for 80% of the final grade for the course.

Reexamination in the same exam period or immediately thereafter. The re-exam may differ from the ordinary exam.



Expected working hours
The teaching method is based on three phase model.
Intro phase: 28 hours
Skills training phase: 20 hours, hereof:
 - Tutorials: 12 hours
 - Laboratory exercises: 8 hours

Educational activities Study phase: 4 hours

Language
This course is taught in Danish.

Course enrollment
See deadline of enrolment.

Tuition fees for single courses
See fees for single courses.