MEDFL5130E – Introductory course in statistics

Schedule, syllabus and examination date

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Course content

The aim of the course is to make the participants acquainted with basic statistical ideas and methods. No special previous knowledge of mathematics or statistics is assumed. The statistical program package SPSS will be used in many of the exercises. Analysis of examples from medical research will be emphasized.

Learning outcome

The participants shall get a basic understanding in the following areas: Elementary probability; probability distributions: binomial distribution and normal distribution; design of clinical trials and epidemiological studies; statistical theory of estimation; construction of confidence intervals; testing statistical hypotheses; analysis of paired data and comparison of two samples; analysis of tables; linear regression analysis with one or several explanatory variables; survival analysis.


The course is restricted to students at the Medical Student Research Programme at the Faculty of Medicine and the Faculty of Dentistry, UiO.

Students apply in StudentWeb.

The courses MEDFL5130E and MF9130 have common admission


Formal prerequisite knowledge

No obligatory prerequisites beyond the minimum requirements for entrance to higher education in Norway.

Overlapping courses


The course is organized as full day teaching over 8 days (4 + 4 days) and includes lectures, group exercises and PC-labs.

The participants must also have time for literature studies and take home exercises after study period 1.

The course is also taught in Norwegian:
MF9130 Innføring i statistikk

You have to participate in at least 80 % of the teaching to be allowed to take the exam. Attendance will be registered.


A take-home exam will be given at the end of the course.

Use of sources and citation

You should familiarize yourself with the rules that apply to the use of sources and citations. If you violate the rules, you may be suspected of cheating/attempted cheating.

Grading scale

Grades are awarded on a pass/fail scale. Read more about the grading system.

Explanations and appeals

Resit an examination

Withdrawal from an examination

It is possible to take the exam up to 3 times. If you withdraw from the exam after the deadline or during the exam, this will be counted as an examination attempt.

Special examination arrangements

Application form, deadline and requirements for special examination arrangements.


The course is subject to continuous evaluation. At regular intervals we also ask students to participate in a more comprehensive evaluation.

Facts about this course






Spring 2019


Every spring

Teaching language