Universitetet for miljø- og biovitenskap (UMB)
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Engelsk
| STAT210 |
Design of Experiments and Analysis of Variance |
| Course responsible |
Thore Egeland |
IKBM |
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| Number of credits allocated |
5.0 |
| Language |
English |
| Limits for class size |
Minimum 5 students, maximum 100 students. |
| Semester/trimester |
| August block |
Autumn parallel |
January block |
Spring parallel |
June block |
| X |
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| Colour explanation: Red/yellow = teaching periods. The red period indicates when the teaching starts. |
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| Type of course |
2 hours lectures and 2 hours exercises daily during the August block (three weeks). |
| Compulsory educational activities |
One compulsory assignment. |
| Reduction of credits for overlapping courses |
STAT310, 5 credits (ECTS). |
| Prerequisites |
STAT100 or corresponding. |
| Exam |
S |
| Assessment methods |
Written examination (3.5 hours). |
| Grading |
A-F |
| Examination aids |
C3: Any calculator. All other examination aids. |
| Nominal workload |
Lectures: 30 hours.
Exercises: 30 hours.
Individual study: 90 hours. |
| Course frequency |
Annually |
| Comment on frequency |
- |
| Teaching methods |
Lectures and exercises with access to teacher. |
| Teaching support |
Questions etc. are answered in the office hours or by e-mail. |
| Examiner |
An external examiner evaluates the exams. |
| Entrance requirements |
Special requirements in Science
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| Preferential right |
B-BIOTEK, M-KB |
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| Note |
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STAT210 is given in the August block and is completed with an exam for the students not taking the STAT310 part. Students taking STAT310 must follow the STAT210 lectures, and take the
final exam at the end of the fall term (i.e. these students do not take the august block exam). |
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| Objective of course |
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The students will learn to use fundamental statistical principles when they design experiments, to compare different groups or treatments, and to analyse data from such experiments by means of analysis of variance. They will also be able to use the knowledge of practical problems in their studies and in actual problems in the working life. By means of exercises with real problems and data, the students will show that they have achieved these goals. |
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| Course contents |
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| General principles regarding design and analysis of experiments, replication, randomisation and blocking. Completely randomised designs, one-way analysis of variance. Randomised complete block design, two-way analysis of variance. Multiple comparisons, contrasts. Factorial designs, interactions. Unbalanced data in factorial designs. Hierarchical designs. Split-plot design. Fixed and random effects, variance components. |
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| Syllabus |
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| Announced in the first lecture. |
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| Last updated |
2013-04-15 |
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