be familiar with graphical data exploration techniques
be able to perform analysis of variance and understand underlying assumptions
Be familiar with linear models and model selection
be familiar with parametric and non-parametric hypothesis testing
have acquired basic skills in statistical programming in the R language
This course provides an introduction to ecological data and statistical methods applied in ecology. Focus is given to study design, data exploration, density distributions and data transformations. The students will get an introduction to parametric and non-parametric hypothesis testing and analyses of variance. Through the course students will become experienced in dealing with linear models and model selection. Applied topics will be introduced. Finally, the students will become experienced with the statistical programming language R.
Instruction is provided in the form of lectures and computer laboratory exercises. Instruction will be given in English, but if only Norwegian-speaking students attend, the teaching language will be Norwegian. Information will be given in Canvas at the start of the course.
The estimated student workload in this course is 135 hours.
Vilkår for å gå opp til eksamen
Approval of reports from all computer laboratory exercises.
More information about the reports and exercises is given in Canvas by the start of the semester.
1,5 hour written individual examination, multiple-choice. Graded assessment A-F.
Studieprogramleder i samråd med studenttillitsvalgt fastsetter evalueringsform og om emnene skal ha midtveis- eller sluttevaluering, jf. kvalitetssystemet kapittel 4.1. Informasjon om evalueringsform for emnet publiseres i Canvas.