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 would be useful. |
Number of ECTS credits allocated
|
4 credits |