Building the ability to independently calculate and interpret statistical indicators and parameters through the correct selection of statistical methodology. Analysing primary and secondary data with appropriate statistical methods. Interpretation of data published in national official statistics, concluding based on statistical indicators, establishing correlation in researched data, predicting phenomena based on statistical indicators, and analysis and interpretation of changes in observed data/phenomena over time.
1. Descriptive statistical analysis: Fundamental concepts of statistics. The role of statistics. Types of variables. Primary measurement scales. Types of primary and secondary data. Public statistical resources. Official national, European, and world statistics. Data editing. Tabulation. Statistical graphics. Types of frequencies. Relative numbers and their application in business. Analysis of numerical series using descriptive statistical methods. Measures of central tendency (full, positional, and specific). Measures of dispersion (absolute and relative). Measures of asymmetry. Standardised feature.
2. Regression and correlation analysis: Correlation analysis. Linear correlation and estimation of correlation coefficients. Spearman's rank correlation coefficient. Regression analysis. Simple linear regression analysis. Regression diagnostics.
3. Time series analysis: Definition of a time series. Types of series. Graphical representation and comparison of time series. Indicators of dynamics. Chain indices and fixed-base indices. Aggregate indices (Laspeyres, Paasche, Fisher price and quantity indices). Value index. Models of time phenomena. Trend models. Moving average method. Exponential smoothing method. Models of seasonal phenomena and seasonal adjustment.
4. Fundamental concepts of probability: Combinatorics and probability. Random variable and its properties. Probability functions. Selected theoretical probability functions of discrete and continuous random variables.
After completing the course, the student will be able to:
1. Define the fundamental concepts of statistics
2. Differentiate between types of variables and their levels of measurement in the analysis of a researched phenomenon
3. Extract and analyse publicly available statistical data in accordance with the researched problem
4. Describe and interpret the calculated statistical indicators and parameters (numerically, graphically, and textually)
5. Analyse data on the current state of a certain phenomenon, check the interdependence of phenomena, and predict the movement of the observed phenomenon
6. Formulate conclusions about the analysed phenomenon based on the conducted statistical methods
