Course

Statistics For Business and Economics (BØK356)

In the increasingly data-driven business environment, it is crucial for a modern business person to know how to utilize data. This course will teach you introductory statistics for business and economics students. The knowledge you acquire from this course will equip you with statistical literacy - a necessity to navigate through the digital world we live in today. Furthermore, the fundamental knowledge in statistics and programming serves as the absolute basis for a deeper understanding of concepts such as digital transformation, big data, machine learning, and artificial intelligence.


Dette er emnebeskrivelsen for studieåret 2025-2026. Merk at det kan komme endringer.

Fakta

Emnekode

BØK356

Vekting (stp)

10

Semester undervisningsstart

Spring

Undervisningsspråk

English

Antall semestre

1

Vurderingssemester

Spring

Content

Typical subject areas covered are:

  • Descriptive statistics
  • Probability
  • Combinatorics
  • Conditional probability
  • Random variables, mean, and variance
  • Joint distributions
  • Basic probability distributions
  • Estimate
  • Hypothesis testing
  • Linear Regression

Expectations: 300 ECTS work hours divided into lectures, computer (MS Excel and R programming) sessions, out-of-class work, exercises, and independent study.

Learning outcome

Knowledge

On completion of the course, students will gain knowledge in:

  • Utilizing fundamental statistical concepts, methods, and data to gain insights
  • Basic use of MS Excel
  • Basic programming in R

Skills

Upon completion of this course, students will be able to:

  • Describe data using summary statistics
  • Approximate real-world events with appropriate random variables and probability distributions
  • Master basic probability theory and probability models, combinatorics, sampling models, conditional probability, Bayes law, and independence of random variables.
  • Conduct hypothesis testing in binomial and multinomial models
  • Depict the relationship between and among variables using statistics, such as correlation and regression analysis
  • Run simple descriptive analysis in Excel
  • Import and export data into R
  • Use R to construct different measures and variables
  • Use R to conduct basic statistical analysis

Forkunnskapskrav

Ingen

Anbefalte forkunnskaper

Bachelor level basic mathematics for business and economics (e.g., BØK108).

Exam

Form of assessment Weight Duration Marks Aid
Written exam 1/1 6 Hours Letter grades One A4 sheet with handwritten notes - can write on both sides of the sheet 1), Approved, basic calculator 2), Dictionary 3)

1) A4-page handwritten notes. You can write on both sides.
2) Pre Approved calkulator
3) Norwegian-English, English-Norwegian dictionary

The final grade is based on a final individual exam counting for 100% of the grade.

Vilkår for å gå opp til eksamen/vurdering

Pass two individual quizzes
​​​​Students are required to pass 2 individual quizzes

Fagperson(er)

Study Program Director:

Tarjei Mandt Larsen

Course coordinator:

Yuko Onozaka

Course teacher:

Sufyan Ullah Khan

Method of work

In this course, you will learn through a mixture of traditional lectures, instruction videos, computer lab sessions, and individual study. Lectures provide the basic statistical concepts, while computer lab sessions will be problem-based in interactive and collaborative settings. There will be exercises provided for each topic covered.

Åpent for

Business Administration - Bachelor's Degree Programme
Exchange programmes at UIS Business School

Emneevaluering

There must be an early dialogue between the course supervisor, the student union representative and the students. The purpose is feedback from the students for changes and adjustments in the course for the current semester.In addition, a digital course evaluation must be carried out at least every three years. Its purpose is to gather the students experiences with the course.
The course description is retrieved from FS (Felles studentsystem). Version 1