STK2120 – Statistical Methods and Data Analysis 2

Schedule, syllabus and examination date

Course content

Multiple linear regression and analysis of variance. Examples of non-linear regression and regression with binary data. Analysis of frequency tables and contingency tables. Numerical optimization of likelihood functions. Properties of maximum likelihood estimators in large samples. Non-parametric bootstrapping. Testing of hypotheses and the likelihood ratio test. Graphical methods for model check.

Learning outcome

The course gives additional theory and methods for statistical inference. Additional important methods are discussed.

Admission

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.

Prerequisites

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 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).

Recommended previous knowledge

STK1100 – Probability and Statistical Modelling, STK1110 – Statistical Methods and Data Analysis, MAT1100 – Calculus, MAT1110 – Calculus and Linear Algebra, MAT1120 – Linear Algebra, MAT-INF1100 – Modelling and Computations, INF1100 – Introduction to programming with scientific applications (continued)/INF1000 – Introduction to object-oriented programming (continued) and INF1010 – Object oriented programming (continued).

Overlapping courses

The information about overlaps is not complete. Contact the department for more information if necessary.

Teaching

3 hours of lectures, 2 hours of lexercises/datalab in groups under guidance and 1 hour of topics examined in plenum.

Examination

Two compulsory assignments need to be passed within given deadlines to be allowed to take the final exam.Final mark based on written examination at the end of the semester.

Rules for compulsory assignments at the Department of Mathematics.

Examination support material

Approved calculator and formula lists for STK1100/STK1110 and STK2120.
Information about approved calculators (Norwegian only)

Language of examination

Subjects taught in English will only offer the exam paper in English.

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.

Evaluation

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

Credits
10
Level
Bachelor
Teaching
Every spring
Examination
Every spring
Teaching language
Norwegian