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Introductory Statistics

course

Aims of the course

Objectives:
To make students familiar with the range and usefulness of statistical methods and statistical information in the business environment that in practice support decision making.
To introduce students to the basics of statistical research at the level of business, industry and national economy.
To enable students to correctly use data from official statistics and results of statistical research prepared by specialised research agencies.

Intended learning outcomes:
Familiarisation with the basic knowledge from research methods.
Familiarisation with the basic use of analytical programmes Excel and SPSS.
Acquisition of communication skills for written and oral communication of research results.

Course syllabus

1. INTRODUCTION. History of statistics; Quantitative literacy; Statistics in business and economics; Levels and tools of analysis in business and economics.

2. STATISTICAL MEASUREMENT. Statistical units, population, sample; Concepts and variables; data typologies; Variable typologies.

3. SECONDARY DATA SOURCES. European and Slovenian statistical system; Secondary data typologies, usefulness, search strategies and evaluation.

4. PRIMARY DATA COLLECTION. Research plan; Surveys and censuses; Real-time data collection.

5. DATA PREPARATION AND VISUALISATION. Data cleaning; Ad-hoc and standard classifications; Basic tabular and graphical visualisation approaches and tools.

6. RELATIVE NUMBERS: STRUCTURES. Typologies; Basic tabular and graphical visualisation approaches and tools; Applications in practice.

7. RELATIVE NUMBERS: COEFFICIENTS. Typologies; Basic tabular and graphical visualisation approaches and tools; Applications in practice.

8. RELATIVE NUMBERS: SIMPLE INDICES. Typologies; Basic tabular and graphical visualisation approaches and tools; Analysis of temporal dynamics; Analysis of index series; Applications in practice.

9. RANKING AND FREQUENCY DISTRIBUTIONS. Basic tabular and graphical visualisation approaches and tools; Quantiles and quantile ranks; Applications in practice.

10. MEASURES OF CENTRAL TENDENCY. Typologies; Average relative numbers; Average indicators of temporal dynamics; Applications in practice.

11. RELATIVE NUMBERS: AGGREGATE INDICES. Typologies; Analysis of index series (cont.); Applications in practice.

12. MEASURES OF VARIABILITY AND CONCENTRATION. Typologies; Variability and distributions; Graphical visualisation; Applications in practice.

Course director(s)

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  • Office Hours
  • Wednesday at 10:00 in R-412
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  • Office Hours
  • Monday at 16:00 in R-405
  • Office Hours
  • Wednesday at 14:30 in R-415
 
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