Statistics

 

 Tittle  Statistics
 Department  Audit, Inspection and Analysis
 Type (compulsory/optional)  Compulsory
 Cycle (first/second)  First Cycle
 Semester when the component is delivered  4th semester
 Course description   Understanding statistics is essential to understand research in the social, behavioral sciences. In almost all research studies, statistics are necessary to decide whether the results support the research hypothesis. In this course you will learn the basics of descriptive and inferential statistics; not just how to calculate them, but also how to evaluate them. 
The first part of the course is about the concepts or variable and data, the difference between population and sample and types of data. Then: the most important measures for centrality (mean, median and mode) and spread (standard deviation and variance). These will be followed by the concepts of variation and position. All these statistics make it possible to represent large amounts of data in a clear way, enabling us to spot interesting patterns. 
The second part of the course is concerned with the basics of inferential statistics: statistics that help us decide whether the differences between groups or correlations between variables that we see in our data are strong enough to conclude that our predictions were confirmed and our hypothesis is supported.
 Course content Topic. 1. Introduction to statistics
Topic 2. Data classification
Topic 3. Data collection and experimental design
Topic 4.  Frequency distributions and their graphs
Topic 5. Measures of central tendency
Topic 6. Measures of variation
Topic 7. Measures of position
Topic 8. Normal distribution
Topic 9. Confidence intervals
Topic 10. Correlation and regression 
 Learning outcomes At the end of the course, students are expected to:
- understand important concepts of statistics, in Ukraine also;
- recognize statistical methods of data analyzing;
- know what predictions can be confirmed at the end of statistical analysis.
 Contact hours (lectures/seminars)

 30/30
 
Prerequisites

Basic knowledge of mathematics and economics.
 Number of ECTS credits allocated

 4 credits