STK1110 – Statistical Methods and Data Analysis
Course description
Schedule, syllabus and examination date
Course content
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
- know the ideas behind non-parametric inference and Bayesian analysis
Admission to the course
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)
- Social economy (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
Overlapping courses
- 10 credits overlap with ST100 and STK1000 – Introduction to Applied Statistics.
- 10 credits overlap with ST100 and STK1000 – Introduction to Applied Statistics.
- 6 credits overlap with ST005.
- 6 credits overlap with ST005.
- 5 credits overlap with ST100.
- 5 credits overlap with ST110.
- 5 credits overlap with STK1000 – Introduction to Applied Statistics.
- 5 credits overlap with ST100.
- 5 credits overlap with ST110.
- 5 credits overlap with ST001.
- 4 credits overlap with ECON4130 – Statistics 2 (discontinued).
- 4 credits overlap with ST101.
- 4 credits overlap with ST102.
- 3 credits overlap with ECON2130 – Statistikk for økonomer.
- 2 credits overlap with STK4900 – Statistical Methods and Applications.
- 2 credits overlap with STK9900 – Statistical Methods and Applications.
Teaching
4 hours of lectures and 2 hours of exercise sessions in groups per week throughout the semester.
The number of groups offered can be adjusted during the semester, depending on attendance.
Examination
Final written exam 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.
Language of examination
Grading scale
Resit an examination
This course offers both postponed and resit of examination. Read more:
More about examinations at UiO
- Use of sources and citations
- How to use AI as a student
- Special exam arrangements due to individual needs
- Withdrawal from an exam
- Illness at exams / postponed exams
- Explanation of grades and appeals
- Resitting an exam
- Cheating/attempted cheating
You will find further guides and resources at the web page on examinations at UiO.