Objectives and competences
1. To achieve a deep understanding of chosen methods of descriptive and inference statistics,
2. To develop the ability of logical thinking,
3. To develop the ability of independent, constructive and systematic approach to solve actual statistical problems in organizations,
4. To achieve ability of advanced use of statistical functions in Excel and SPSS.
Content (Syllabus outline)
Quantitative methods which are applicable to actual statistical problems in an organization.
Main chapters:
1. Organization of data: data set, frequency tables and distributions, graphics representation of data
2. Descriptive statistics: measures of position, central tendency and dispersion
3. Basic concepts of combinatorics and probability
4. Discrete probability distributions: uniform, binomial, negative binomial, Poisson
5. Continuous probability distributions: uniform, Gaussian, exponential
6. Methods of statistical inference: sampling, interval estimation, hypothesis testing
7. Association between two variables: ?^2- test, linear correlation, linear regression
8. Time series: time indices, 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 Quantitative methods I or 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.
