ST503: Statistics for biologists (5 ECTS)

STADS: 25002101

Level
Bachelor course

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

Teacher responsible
Email: hcpetersen@stat.sdu.dk

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 material from the course MM503 BioMath I 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 scienrific 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 evaulation and mediation of research results from the biological sciences. They should be capable of applying the aquired 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;
* undertanding 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 analyse 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.

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.