STK1110 – Statistical Methods and Data Analysis

Changes in the course due to coronavirus

Autumn 2020 the exams of most courses at the MN Faculty will be conducted as digital home exams or oral exams, using the normal grading scale. The semester page for your course will be updated with any changes in the form of examination.

See general guidelines for examination at the MN Faculty autumn 2020.

Course content

STK1110 gives an introduction to statistical thinking and an overview of central statistical models and methods. The students are given insight into the theoretical foundation of the methods for analyzing data, and learn to perform such analyses in practice by using the software R. STK1110 is a natural continuation of STK1100 and gives a foundation for taking advanced courses in statistics.

Learning outcome

After having completed the course you

  • understand the reasoning behind point and interval estimation, are able to find the moment estimators and the maximum likelihood estimators for simple statistical models, and know the properties of the maximum likelihood estimators for large sample situations
  • know the reasoning behind hypothesis testing, can choose and perform tests, can perform power calculations for simple hypothesis testing problems, and know of the likelihood ratio test and its properties in large sample situations
  • are able to analyze pairwise data and data for two samples, and understand the theoretical foundation for the statistical methods
  • are able to use linear and logistic regression for studying the connection between a response variable and one or more explanatory variables, understand the theoretical foundation for simple linear regression, and know how the theory of multiple linear regression can be studied by using matrix algebra
  • understand the reasoning behind parametric and non-parametric bootstrap, and are able to use bootstrap to calculate standard error and interval estimates.

Admission to the course

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.

Special admission requirements

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

  • Mathematics R1 (or Mathematics S1 and S2) + R2

And in addition one of these:

  • Physics (1+2)

  • Chemistry (1+2)

  • Biology (1+2)

  • Information technology (1+2)

  • Geosciences (1+2)

  • Technology and theories of research (1+2)

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

Overlapping courses

Teaching

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

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

Examination

Final written exam 4 hours which counts 100 % towards the final grade. 

This course has 2 mandatory assignments that must be approved before you can sit the final exam.

Examination support material

Formula sheet for STK1100/STK1110 and approved calculators are allowed.

Information about approved calculators in Norwegian.

Language of examination

The examination text is given in Norwegian. You may submit your response 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.

Resit an examination

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

Special examination arrangements, use of sources, explanations and appeals

See more about examinations at UiO

Last updated from FS (Common Student System) Oct. 30, 2020 3:40:54 AM

Facts about this course

Credits
10
Level
Bachelor
Teaching
Autumn
Examination
Autumn
Teaching language
Norwegian