FORK 1002 Preparatory Course in Statistics
FORK 1002 Preparatory Course in Statistics
This course focuses on statistical concepts and tools of relevance in business and managerial economics in particular, and in the social sciences more generally.
To provide students with the understanding of the fundamentals of basic statistical principles, the skills necessary for interpretation and evaluation of data, and sufficient knowledge for the adequate application of basic statistical procedures.
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1. Key Concepts and Basic Statistics (4 hours):
- Key Concepts
- Descriptive statistics
- Frequency and Probability Distributions
- Hypothesis Testing
- P-Values
- Interval Estimation
2. Regression Analysis (8 hours):
- Bivariate correlation analysis
- The multivariate linear regression model
- Estimation
- Hypothesis testing
3. Qualitative independent variables (3 hours):
- Qualitative vs. quantitative variables
- Dummy variables
- Combining qualitative and Quantitative variables
15 hours with lectures and 5 hours in the computer-lab
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.
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