APPLIES TO ACADEMIC YEAR 2016/2017
FORK 1002 Preparatory Course in Statistics
Responsible for the course
Department of Economics
According to study plan
Language of instruction
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) sufficient knowledge for the adequate application of basic statistical procedures.
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.
Groebner, David F., Patrick W. Shannon, Phillip C. Fry. 2014. Business statistics : a decision-making approach. 9th ed., International ed. Pearson. Selected chapters
Excercises, selected readings and hand-outs during the course
Key Concepts and Basic Statistics (4 hour)
- Key Concepts
- Descriptive statistics
- Frequency and Probability Distributions
- Hypothesis Testing
- Interval Estimation
- Bivariate correlation analysis
- The linear regression model
- Hypothesis testing
Qualitative independent variables (3 hours)
- Qualitative vs. Quantitative variables
- Dummy variables
- Combining qualitative and Quantitative variables
Learning process and workload
15 hours with lectures and 5 hours for the use of statistical software.
Practical examples and assignments will involve extensive use of statistical software, such as SPSS or STATA.
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Examination support materials
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