Subject description for 2024/25
Statistics
STT1001
Subject description for 2024/25

Statistics

STT1001

The course will provide the students with fundamental knowledge and skills in statistics and probability, which are necessary for completion of bachelor studies in economic subjects.

The subject contains theory about and applications of statistical methods and probability calculations that are used in economic problems.

Descriptive statistics, central tendancy and dispersion, frequency distributions, graphical representations.

Probability, combinatorics, conditional probability, Bayes law.

Binomial distribution, hypergeometric distribution, Poisson distribution.

Normal distribution and normal approximation, the central limit theorem.

Students t-distribution, and chi-squared distribution.

Stochastic variables, simultaneous distributions, independent variables, covariance.

Point estimates and interval estimates.

Hypothesis testing using binomial, normal and Student t-distribution.

Hypothesis testing using chi-squared distribution, model tests

Statistical power, errors of Type I and II

Simple regression analysis, estimation, hypothesis testing for regression, predictionintervals.

It is possible to apply for admission to the subject as an individual subject. Reservations are made regarding free capacity on the subject. The applicant must meet the applicable admission requirements for the Bachelor in Business Administration, Bachelor in Economics, Digitalisation and Business Development, or Bachelor in Real Estate.

More information about individual subject admissions and deadlines (Norwegian webpage)

Knowledge

The candidate must have knowledge about:

  • fundamental probability calculations including combinatorics, selection models, conditional probability, and with emphasis on the most important probability distributions, e.g. binomial distributions and normal distributions
  • knowledge of concepts like estimator, estimate, confidence interval
  • knowledge of concepts such as the null hypothesis and alternative hypothesis, rejection and acceptance errors, significance level, significance probability, statistical strength

Skills

The candidate must be able to:

  • present and describe statistical data using central tendency and dispersion, frequency tables and graphical representations
  • compute with probabilities and apply tables of probability distributions for such computations
  • analyze and interpret the results of statistical surveys using basic methods of estimation and hypothesis testing
  • estimate a simple regression model and assess how well or poorly it functions in a given situation

General competence

The candidate must have:

  • a basic overview of issues related to the use of polls and other statistical methods related to politics, economics and science
Paid semester fee and syllabus literature. It is also required that students have a laptop at their disposal.
Compulsory
Lectures, task assignments, colloquium groups.
The study program is evaluated annually by the students through course evaluations and study program evaluation. These evaluations are included as part of the university's quality assurance system.

Composite assessment, grading rule Letter grades

  • Two compulsory assignments, amounts to 0/100 of the grade, grade rule Approved/Not approved
  • Written mid-term exam, 3 hours, amounts to 25/100 of the grade, grading rule Letter grades
  • Written school exam, 4 hours, amounts to 75/100 of the grade, grading rule Letter grades

Simple calculator and bilingual dictionaries. Generating an answer using ChatGPT or similar artificial intelligence and submitting it wholly or partially as one's own answer is considered cheating.