lecturer of 2024/2025 Autumn semester
Not opened for teaching. Click the study programme link below to see the nominal division schedule.
Brief description of the course
Collecting and organizing data. Population and sample. Types of variables. Preparation of data for processing. Frequency table and distribution table. Data presentation types. Mean value. Median. Measures of variability. Correlation and linear regression estimates. Hypothesis testing. Analysis of variance
Learning outcomes in the course
Upon completing the course the student:
- knows main notions of mathematical statistics;
- is familiar with the main methods and their applications;
- is able to solve the standard exercises on paper and Excel.