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Valid for year : 2008
 
NMAB28 Statistics; Theory and Application in Biology, 6 ECTS credits.
/Statistik; teori och tillämpning i biologi/

For:   Bio  

 

Prel. scheduled hours: 38
Rec. self-study hours: 122

  Area of Education: Sciences

Subject area: Mathematics
  Advancement level (G1, G2, A): G1

Aim:
The students shall understand and use basic probability theory and statistics. The theory and methods are primarily focused on such that apply in biology. By the end of the course the student should be able to:
  • Explain basic statistical concepts, such as population, sample, significance level and confidence interval.
  • Choose designs and statistical models for basic types of experiments in which the outcome is influenced by random variation.
  • Apply Excel and the statistical software package MINITAB for descriptive analyses of the collected data and inference about populations, treatment effects and relationships between variables.
  • Articulate and critically assess the conclusions from a statistical analysis.
Prerequisites: (valid for students admitted to programmes within which the course is offered)
Courses in biology on level A/B corresponding to at least 40 credit points. At least 20 credit points should be completed when this course starts

Note: Admission requirements for non-programme students usually also include admission requirements for the programme and threshhold requirements for progression within the programme, or corresponding.
Organisation:
Lectures, seminars and compulsory computer sessions. Biological experiments for collecting data and applying statistical methods.
Course contents:
The course treats basic methods to analyze and describe data from biological experiments. Decriptive statitics. Simple regression. One- and twoway ANOVA. Non parametric tests. Experimental design.
Course literature:
Olsson, U., Englund, J.-E., Engstrand, U. Biometri - grundläggande biologisk statistik, Studentlitteratur. ISBN 91-44-04577-8.

Examination:
Hand-in exercises
 6 ECTS
 


Course language is .
Department offering the course: IDA.
Director of Studies: Lotta Hallberg
Examiner: Anders Grimvall

Course Syllabus in Swedish

Linköping Institute of Technology
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Contact: TFK , val@tfk.liu.se
Last updated: 02/15/2008