STK1000 – Introduction to Applied Statistics
Course description
Schedule, syllabus and examination date
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.
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+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 from Norwegian upper secondary school.
Overlapping courses
- 10 credits overlap with ST005.
- 10 credits overlap with ST005.
- 10 credits overlap with ST100 and STK1110 – Statistical Methods and Data Analysis.
- 10 credits overlap with ST100 and STK1110 – Statistical Methods and Data Analysis.
- 10 credits overlap with STK1005 – Introduction to applied statisics B (discontinued).
- 10 credits overlap with FRM4110 – Applied statistics for pharmacists (discontinued).
- 8 credits overlap with FARM4130 – Applied Statistics for Pharmacists.
- 6 credits overlap with ECON2130 – Statistikk 1.
- 6 credits overlap with ECON2130P.
- 6 credits overlap with MF9130 – Innføring i statistikk.
- 6 credits overlap with MF9130E – Introductory course in statistics.
- 5 credits overlap with STK1110 – Statistical Methods and Data Analysis.
- 5 credits overlap with ST100.
- 5 credits overlap with ST100.
- 5 credits overlap with BIO2150 – Biostatistics and Study Design (discontinued).
- 5 credits overlap with ST001.
- 5 credits overlap with BIO2150A – Biostatistics (discontinued).
- 4 credits overlap with ST101.
- 4 credits overlap with ST102.
- 3 credits overlap with ST110.
- 3 credits overlap with ST110.
- 3 credits overlap with ST002.
Teaching
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.
Examination
Midterm exam which counts 25 % towards the final grade.
Final written exam which counts 75 % towards the final grade.
This course has 2 mandatory assignments that must be approved before you can sit the final exam.
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 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:
More about examinations at UiO
- Use of sources and citations
- 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.