Objectives and competences
Students:
Enhance their theoretical knowledge in the field of statistical methods.
Gain the ability to apply their theoretical knowledge in practice.
Acquire statistical approach to analysis of business problems and business decision making.
Acquire advanced knowledge of basic theoretical approaches in the field of business decision making using statistical methods.
Content (Syllabus outline)
Formulation of economic business problems in terms of statistics
Data collection methods – surveys and samples:
sampling and the quality of sampling data
survey design, sampling methods
Analysis of sample: weighting, standard error of estimation, sample variance, sampling frame, non-responses
Number of sampling units
Statistical techniques: estimation of parameters, hypothesis testing – two or more samples – independent and paired, related samples, ANOVA; association and dependencies
Preparation of the research report
Learning and teaching methods
lectures;
AV presentations;
case studies;
active individual and group work
Intended learning outcomes - knowledge and understanding
Knowledge and understanding
1. Students apply mathematical and statistical methods to solve business problems.
2. Students interpret results obtained by mathematical and statistical methods.
3. Students analyse and synthesise different approaches to business decision-making.
4. Students explain ethical, social, and environmental issues in statistical data analysis.
Intended learning outcomes - transferable/key skills and other attributes
Cognitive/Intellectual skills
1. Students conduct critical analysis and apply theoretical approaches to solving professional problems.
2. Students integrate different knowledge and procedures and use professional literature.
3. Students select appropriate methods for problem solving and evaluate the relevance of collected data.
4. Students identify problems from multiple perspectives.
Key/Transferable skills
1. Students apply acquired knowledge in a specific professional context.
2. Students undertake autonomous learning for their professional development.
3. Students use information technology to address professional tasks.
4. Students develop and enhance communication skills for professional communication.
Practical skills
1. Students perform statistical data analysis and interpret results.
Readings
Izbrana poglavja iz učbenikov:
McClave, J.T., Benson, P.G., Sincich, T. (2011). Statistics for Business and Economics, Pearson Prentice Hall,
Levine, D.M., Szabat, K.A., Stephan, D.F. 2021. Statistics for managers using Microsoft Excel, Pearson.
Additional information on implementation and assessment computer skills 20%
seminar paper; 30%
written exam 50%
The exam is passed when 28 out of 50 points are obtained by written exam AND at the same time, the sum together with points obtained for the computer skills, equals at least 56 points (out of all 100).
