Subject 'Statistics'

Year:   2020/2021    2021/2022    2022/2023    2023/2024    2024/2025    

The course introduces the basic ideas of the collection, analysis, interpretation, presentation, and organization of data.
Short description of the course:
- population and sample, basic types of statistical variables, principles of study design and data collection;
- frequency distribution table, graphical representation of data, empirical distribution;
- numerical summary statistics (mean, median, standard deviation and s.o.), their calculating with statistical software, and interpretations;
- statistics probability, discrete and continuous random variables;
- common discrete and continuous probability distributions (uniform, binomial, Poisson binomial, normal, Student's t-distribution), their properties and graphical study;
- sampling distribution of sample means (Central Limit Theorem), estimation of population parameters (point and interval estimates);
- estimation and hypothesis testing about two populations;
- relationship between two variables (simple linear correlation, regression analysis).

The course introduces the basic techniques of handling data and analysing the results by using the methods of mathematical statistics and statistical software tools. Every person in today's society needs to have a basic understanding of data analysis and statistical concepts, in order to be able to think critically about the quantitative information we encounter every day, from opinion polls to headline news reports based on scientific studies.

By the end of this course, the student should
- be able to explain and apply principles of study design and data collection and be able to Identify the relevant population, sample, study units and variables;
- be able to produce and interpret graphical summaries of data (bar and pie charts, histograms, boxplots, scatterplots) and numerical summary statistics (mean, median, mode, range, standard deviation, variance, percentiles and s.o.);
- be able to compute simple probabilities of events and be familiar with common discrete and continuous probability distributions (uniform, binomial, normal, Student's t-distribution);
- be able to construct confidence intervals for population mean and to perform hypothesis tests about means of two populations;
- be able to describe graphically and numerically the relations between two variables using scatterplots, linear and Spearman's correlation coefficients and simple linear regression model;
- be familiar with basic statistical MS Excel software tools.

Lectures, practical lessons, group study, e-learning.

2020: AE*  KT  LK  ME*  RR  TD  TK*  TK*  

2019: AT*  KT  LK  ME*  RR  RR  TD  TK*  TK*  TL  TT*  

2018: ET*  HE*  KK*  KT  LK  ME*  RG*  RR  RR  TD  TE*  TK  TK*  TL  TT*  

2017: ET*  HE*  KK*  KT*  ME*  RG*  RR  RT*  TD  TE*  TK  TL  TT*  

2016: ET*  HE*  KT*  ME*  RG*  RR  RT*  TD  TE*  TK  TL  TT*  

2015: ET*  HE*  KT*  ME*  RG*  RR  RT*  TD  TE*  TL  TT*  

* Optional subject