Objectives and competences
1. To introduce the students with basic concepts of descriptive and inference statistics,
2. To develop ability of logical thinking,
3. To develop ability of constructive and systematic approach to solve actual statistical problems in organizations,
4. To achieve ability of autonomous use of basic statistical functions in Excel and SPSS.
Content (Syllabus outline)
Basic quantitative methods which are applicable to actual statistical problems in an organization.
Main chapters:
Basic concepts of data organization
Fundamentals of descriptive statistics
Fundamentals of combinatorics and probability
Basic probability distributions (discrete and continuous)
Fundamentals of sampling
Interval estimation (mean, differences between means, proportion)
Hypothesis testing (mean, differences between means, proportion)
?^2- test
Linear correlation
Linear regression
Time series with linear trend
Learning and teaching methods
• Lectures
• Tutorial
• Computer work
• e-Learning
Intended learning outcomes - transferable/key skills and other attributes
Students will be:
• able to explain the fundamental concepts of descriptive statistics in real cases,
• able to apply the fundamental methods of inference statistics in real cases,
• able to analyze data and phenomena in an organization using fundamental methods of descriptive and inference statistics,
• familiar with basic statistical functions in Excel and SPSS.
Readings
1. Košmelj, B., & Rovan, J. (2007). Statistično sklepanje (2. izd., str. 312). Ekonomska fakulteta.
2. Rovan, J., & Turk, T. (2012). Analiza podatkov s SPSS za Windows (3. izd., str. 280). Ekonomska fakulteta.
3. Jesenko, J. (2001). Statistika v organizaciji in managementu (str. 422). Moderna organizacija.
4. Moore, D. S., McCabe, G. P., & Craig, B. A. (2012). Introduction to the practice of statistics (7th ed., str. XXIX, 657, 62). W. H. Freeman.
5. Fligner, M. A. (2009). Study guide for Moore, McCabe, and Craig’s Introduction to the practice of statistics (6th ed., str. 280). W. H. Freeman and Company.
Prerequisits
Familiarity with the course Basics of mathematics in organizational sciences.
Additional information on implementation and assessment Written exam (composed of theoretical and empirical part) (100 %)
Criteria for passing the exam:
At least 50% of the maximum score at the written exam
Final exam can be substituted with 2 half term exams.
