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. Moreover, the fundamental knowledge in statistics and programming serves as the absolute basis for a deeper understanding of concepts such as DX (digital transformation), big data, machine learning, and artificial intelligence.
Dette er emnebeskrivelsen for studieåret 2022-2023. Merk at det kan komme endringer.
Semesters
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
- Estimation
- Hypothesis testing
- Linear Regression
Expectations: 280 ECTS work hours divided into lectures, learning sessions, computer (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
Exam
| Form of assessment | Weight | Duration | Marks | Aid | Exam system | Withdrawal deadline | Exam date |
|---|---|---|---|---|---|---|---|
| Written exam | 1/1 | 4 Hours | Letter grades | One hand written A4-page with notes 1), Approved, basic calculator 2), Dictionary 3) | Inspera assessment | — | — |
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.