NMAK14003U Applied Statistics
Each student carries out a statistical project (in a group) related to an experiment or a numerical investigation preferably delivered by one of the students in the group. A report is written in journal style and presented orally. Besides, a small number of statistical themes are taught. Examples of such themes are multi-way ANOVA, random effects, analysis of repeated measures and cross-over trials, analysis of count data or ordinal data, analysis of data with detection limit, simulation methods, non-linear regression models, analysis of time series data, Markov models. There will also be some discussion of statistical methods relevant to application areas such as biology, chemistry, computer science, nutrition, and sport science.. The statistical themes as well as the application areas may vary somewhat from year to year and to some extent adapt to the interests of the students.
The course aims at giving the student experience of carrying out
statistical analyses. The topics (methods) taught may vary from
year to year.
After completing the course the student should be able to:
- recognize certain data types, identify and specify appropriate statistical models, and argue for the appropriateness
- explain the prerequisities, prospects and limitations of the methods
- formulate relevant problems and choose an appropriate statistical model addressing these problems
- carry out the actual analysis (computations). This includes model fitting, model validation and hypothesis testing.
- extract relevant estimates, draw conclusions and communicate the results from the analysis
- use the statistical programming language R to carry out the analyses
- independently formulate scientifically relevant questions - motivated by data of similar types as those presented in the course - and answer them by the use of statistical methods.
- 7,5 ECTS
- Type of assessment
- Written assignmentOral examination, 30 minutesDescription of Examination: Each group writes a report in a journal paper format about their project. At the end of the course each student is examined individually. The grade is awarded on the basis of an overall assessment of the report and the oral exam.
- All aids allowed
- Marking scale
- passed/not passed
- Censorship form
- No external censorship
Several internal examiners
Criteria for exam assesment
Quality of written report with focus on describing and using
appropriate statistical methods. Quality of oral presentation with
focus on presenting key methodology and results.
The student must in a satisfactory way demonstrate that he/she has mastered the learning outcome of the course.
- Practical exercises
- Theory exercises
- Project work