FORK 1002 Preparatory Course in Statistics
FORK 1002 Preparatory Course in Statistics
The aim of the course is to provide students with a formal understanding of the statistical concepts and tools of relevance in business and managerial economics.
A solid knowledge of basic statistics.
The skills necessary for the adequate application of basic statistical procedures.
The ability to critically reflect on and evaluate others use of statistical methods.
1. Key Concepts and Basic Statistics:
- Key Concepts
- Descriptive statistics
- Frequency and Probability Distributions
- Hypothesis Testing
- P-Values
- Interval Estimation
2. Regression Analysis:
- Bivariate correlation analysis
- The multivariate linear regression model
- Estimation
- Hypothesis testing
3. Qualitative independent variables:
- Qualitative vs. quantitative variables
- Dummy variables
- Combining qualitative and Quantitative variables
15 hours with lectures and 5 hours in the computer-lab
Software
SPSS, STATA, R, Python, Matlab or similar.
All courses in the Masters programme will assume that students have fulfilled the admission requirements for the programme. In addition, courses in second, third and/or fourth semester can have spesific prerequisites and will assume that students have followed normal study progression. For double degree and exchange students, please note that equivalent courses are accepted.
Covid-19
Due to the Covid-19 pandemic, there may be deviations in teaching and learning activities as well as exams, compared with what is described in this course description.
Teaching
Information about what is taught on campus and other digital forms will be presented with the lecture plan before the start of the course each semester.
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