Probability Theory and Mathematical Statistics in Sociology

Course: Sociаl Technologies

Structural unit: Faculty of Sociology

Title
Probability Theory and Mathematical Statistics in Sociology
Code
ОК8
Module type
Обов’язкова дисципліна для ОП
Educational cycle
First
Year of study when the component is delivered
2023/2024
Semester/trimester when the component is delivered
2 Semester
Number of ECTS credits allocated
5
Learning outcomes
1.1 Know modern methods for determining the integrated sample characteristics, methods for estimating the parameters of the general population. 1.2 Know the statistical and probability distributions, their characteristics and applications. 1.3 Know the methods of applying statistical criteria. 2.1 Be able to calculate the integral characteristics of the sample. 2.2 Be able to formulate statistical hypotheses. 2.3 Be able to apply statistical criteria to solve applied problems.
Form of study
Full-time form
Prerequisites and co-requisites
1. Know the methods of elementary mathematics. 2. Be able to work with a computer. 3. Have basic data visualization skills.
Course content
І. Probability in empirical research. Topic 1. Basic statistical sample characteristics. Topic 2. Elements of probability theory. ІІ. Statistical hypotheses and models in sociology. Topic 3. Basic statistical estimates. Topic 4. Test of statistical hypotheses. Topic 5. Statistical criteria. Topic 6. Linear regression.
Recommended or required reading and other learning resources/tools
Basic 1. Donchenko VS, Sydorov MV-S. Probability theory and mathematical statistics for the social sciences.- K: Taras Shevchenko National University of Kyiv, 2015, p 400. Additionally 1. Chernyak OI etc. Econometrics. Textbook / Chernyak OI; Komashko OV; Stavytsky AV; Bazhenova OV; For the order. OI Черняка. - Kyiv: Publishing and Printing Center "Kyiv University", 2010. - 359 p. 2. John A. Rice. Mathematical Statistics And Data Analysis. Duxbury Advanced Series. Available 2010 Titles Enhanced Web Assign Series. .- Cengage Learning, 2007, ISBN0534399428, 9780534399429, 603 p. 3. Elementary Statistics with R http://www.r-tutor.com/elementary-statistics 4. Medvedev MG, Pashchenko I.0. Probability theory and mathematical statistics. Textbook. - Kyiv: Lira-K Publishing House. 2008. - 536 p. 5. Litnarovich RMPobudova and research of mathematical model on sources of experimental data by methods of regression analysis. Textbook, MEGU, Rivne, 2011.-140 p
Planned learning activities and teaching methods
Lecture, practice session, individual work in Moodle
Assessment methods and criteria
1. Distance course DataCamp “Introduction to R” LR 1.1, LR 1.3, LR 2.1 - 2 points / 1 point. 2. Prometheus distance learning course “Data analysis and statistical derivation in R” LR 1.1, LR 1.3, LR 2.1 - 3 points / 2 points. 3. Kr 1 with topics 1.2 LR 1.1 - 5 points / 3 points. 4. Pkr 1 with topics 1, 2 LR 1.1, LR 2.1 - 6 points / 4 points. 5. Kr 2 on topic 3, LR 1.2, LR 2.1 - 5 points / 3 points. 6. Kr 3 on topic 3, RN 1.2, RN 2.1 - 5 points / 3 points. 7. Pkr 2 with topics 3,4 and 5, LR 1.2, LR 1.3, LR 2.2, LR 2.3 - 6 points / 4 points. 8. Homework - LR 1.1, LR 1.2, LR 1.3, LR 2.1, LR 2.2, LR 2.3, total 12 points / 8 points. 9. Performances at the board - LR 1.1, LR 1.2, LR 1.3, LR 2.1, LR 2.2, LR 2.3, total 16 points / 8 points. final assessment – exam LR 1.1, LR 1.2, LR 1.3, LR 2.1, LR 2.2, LR 2.3
Language of instruction
ukrainian

Lecturers

This discipline is taught by the following teachers

Departments

The following departments are involved in teaching the above discipline