Statistics; Theory and Application in Biology, 6 credits (NDAB02)

Statistik; teori och tillämpning i biologi, 6 hp

Main field of study



First cycle

Course type

Programme course


Bertil Wegmann

Director of studies or equivalent

Lotta Hallberg
Course offered for Semester Period Timetable module Language Campus VOF
6KBIO Biology 4 (Spring 2017) 1, 2 1, 3 Swedish Linköping o
6KKEB Chemical Biology 4 (Spring 2017) 1, 2 1, 3 Swedish Linköping v
6MPRO Protein Science, Master's programme (Internal) 2 (Spring 2017) 1, 2 1, 3 Swedish Linköping v

Main field of study


Course level

First cycle

Advancement level


Course offered for

  • Biology
  • Chemical Biology
  • Protein Science, Master's programme

Entry requirements

Note: Admission requirements for non-programme students usually also include admission requirements for the programme and threshold requirements for progression within the programme, or corresponding.


Courses in biology corresponding to at least 60 ECTS.

Intended learning outcomes

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 statistical software packages 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 

Course content

The course treats basic methods to describe and analyze data from biological experiments. Descriptive statistics. Regression analysis. One- and two-way ANOVA. Non parametric tests. Experimental design.

Teaching and working methods

Lectures, seminars and computer sessions to apply statistical methods on biological data and experiments.
The course runs over the entire spring semester.


TEN1Written ExaminationU, 3, 4, 54.5 credits
LAB1Computer based laboratory workU, G1.5 credits


Four-grade scale, LiU, U, 3, 4, 5


Institutionen för datavetenskap

Director of Studies or equivalent

Lotta Hallberg


Bertil Wegmann

Education components

Preliminary scheduled hours: 48 h
Recommended self-study hours: 112 h

Course literature

Additional literature

Zar, Biostatistical analysis,
ISBN: 0-13-206502-9

Additional literature


Zar, Biostatistical analysis,

ISBN: 0-13-206502-9

TEN1 Written Examination U, 3, 4, 5 4.5 credits
LAB1 Computer based laboratory work U, G 1.5 credits

Regulations (apply to LiU in its entirety)

The university is a government agency whose operations are regulated by legislation and ordinances, which include the Higher Education Act and the Higher Education Ordinance. In addition to legislation and ordinances, operations are subject to several policy documents. The Linköping University rule book collects currently valid decisions of a regulatory nature taken by the university board, the vice-chancellor and faculty/department boards.

LiU’s rule book for education at first-cycle and second-cycle levels is available at 

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