STK1000 – Introduction to applied statistics

Schedule, syllabus and examination date

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Course content

The course provides an introduction to applied statistics. The students will learn how data should be organized and interpreted and how to draw conclusions from data. The course provides a basis for performing standard statistical analyses using statistical software.

Learning outcome

After completing the course you:

  • will be familiar with standard methods for describing data and relations in data by summarizing measures and graphical representations;
  • will know basic principles and methods for collecting data;
  • will know the probability concept and the basic rules for probabilities (including conditional probability and Bayes rule), as well as having knowledge of random variables (including expectation, variance and covariance for such) and probability distributions (including normal, binomial and Poisson);
  • will be familiar with the law of large numbers and the central limit theorem;
  • can perform statistical inference such as point estimation, confidence interval estimation and hypothesis testing for one and two samples (especially t-tests);
  • can do simple and multiple linear regression analyses;
  • can use the statistics program R for basic data analysis.


Students who are admitted to study programmes at UiO must each semester register which courses and exams they wish to sign up for in Studentweb.

If you are not already enrolled as a student at UiO, please see our information about admission requirements and procedures.


Formal prerequisite knowledge

In addition to fulfilling the Higher Education Entrance Qualification, applicants have to meet the following special admission requirements:

  • Mathematics R1 or Mathematics (S1+S2)

The special admission requirements may also be covered by equivalent studies from Norwegian upper secondary school or by other equivalent studies. Read more about special admission requirements (in Norwegian).

Recommended previous knowledge

Knowledge corresponding to R1/2MX from secondary school.

Overlapping courses

*The information about overlaps for discontinued courses may not be complete. If you have questions, please contact the Department. 


4 hours of lectures. In addition there will be exercise solving groups during the week, with guidance.

The number of groups offered can be adjusted during the semester, depending on attendance.


2 mandatory assignments.

Midterm exam and final written examination at the end of the semester adds up to final grade. Both exams are compulsory and have to be taken in the same semester.

Midterm exam counts for 1/4 and the written examination at the end of the semester counts for 3/4. The final grade is based on the total score and a general impression after the final examination.

Examination support material

Approved calculator, textbook and terminology list for STK1000. You are permitted to make handwritten notes in the textbook, but not to add any additional notes and paper.

Information about approved calculators (Norwegian only)

Language of examination

You may write your examination paper in Norwegian, Swedish, Danish or English.

Grading scale

Grades are awarded on a scale from A to F, where A is the best grade and F is a fail. Read more about the grading system.

Explanations and appeals

Resit an examination

This course offers both postponed and resit of examination. Read more:

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.


The subject is regarded equal to STK1005 – Introduction to applied statisics B (discontinued) when practicing exam regulations.

Facts about this course






Every autumn


Every autumn

Teaching language