1601 Basic Statistics
Content:
- History of statistics in its role today in the data analysis of the public sector.
- Basic statistical concepts. Measuring in social sciences.
- Descriptive statistics.
- Data visualization.
- Construction of variables. Indices, proportions, ranks.
- Obtaining statistical data analysis of metadata.
- Basics of probalistic sampling.
- Hypothesis testing.
- Preparation and the analysis of a questionnaire.
- The relationship between the statistical variables. Regression modelling.
- The modeling of time series.
- The usage of statistics in public administration.
Objectives and competences
Student:
- defines problem, asks research questions, forms hypotheses
- prepares, and processes statistical data, tests hypotheses
- uses statistical tools for gathering, analysing and presenting statistical data and results of statistical analyses
- analyses and reports relationships between variables, predicts and controls values of variables in relationship.
Objectives:
- to perceive, understand and resolve challenges, solvable with statistical approach;
- to use statistical software to proceed statistical analysis and create reports and presentation;
- to convey the results of statistical analyses using presentation of statistical information;
- to solve problems in analytical way.