FORK 1002 Preparatory Course in Elementary Statistics
 |
APPLIES TO ACADEMIC YEAR 2015/2016 |
FORK 1002 Preparatory Course in Elementary Statistics
Responsible for the course
Genaro Sucarrat
Department
Department of Economics
Term
According to study plan
ECTS Credits
0
Language of instruction
English
Introduction
This course focuses on statistical concepts and tools of relevance in business and managerial economics in particular, and in the social sciences more generally.
Prerequisites : The emphasis is on concepts and applications rather than on computational ability.
Learning outcome
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.
Prerequisites
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.
Compulsory reading
Books:
Groebner, David F., Patrick W. Shannon, Phillip C. Fry. 2014. Business statistics : a decision-making approach. 9th ed., International ed. Pearson. Selected chapters
Other:
Selected readings and hand-outs during the course
Recommended reading
Course outline
Key Concepts and Basic Statistics (4 hour)
- Key Concepts
- Descriptive statistics
- Frequency and Probability Distributions
- Hypothesis Testing
- P-Values
- interval Estimation
- Bivariate correlation analysis
- The linear regression model
- Estimation
- Hypothesis testing
Qualitative independent variables (3 hours)
- Qualitative vs. Quantitative variables
- Dummy variables
- Combining qualitative and Quantitative variables
Computer-based tools
Learning process and workload
15 hours with another 5 hours for the use of statistical software
Examination
Not applicable
| Form of assessment | Weight | Group size |
| Not applicable | ||
Examination code(s)
Not applicable
Examination support materials
Re-sit examination
Not applicable
Additional information
Academic honesty and trust are important to all of us as individuals, and represent values that are encouraged and promoted by the honour code system. This is a most significant university tradition. Students are responsible for familiarizing themselves with the ideals of the honour code system, to which the faculty are also deeply committed.
Any violation of the honour code will be dealt with in accordance with BI’s procedures for cheating. These issues are a serious matter to everyone associated with the programs at BI and are at the heart of the honour code and academy integrity. If you have any questions about your responsibilities under the honour code, please ask.