Магистратура
2026/2027
Введение в статистику
ID 1194218
Статус:
Курс обязательный (Аналитика данных и прикладная статистика / Data Analytics and Social Statistics)
Где читается:
Факультет социальных наук
Когда читается:
1-й курс, 1 модуль
Онлайн-часы:
40
Охват аудитории:
для своего кампуса
Язык:
английский
Кредиты:
3
Контактные часы:
24
Course Syllabus
Abstract
This course is an introductory course in statistics. It is designed to familiarize graduate students with the general concepts of decriptive and inferential statistical concepts, with a focus on probality theory. The course devlves in to introduction to probability theory ans its relation with the statistics, covers topics of important probability distributions, descriptive statistics and graphical display, point estimation and confidence intervals, hypothesis testing, measuring relations between variables.
Learning Objectives
- to give students the opportunity to get acquainted with the basic concepts of statistics
- to teach how to use statistical terms correctly and work with basic statistical concepts.
Expected Learning Outcomes
- be able to estimate the mean and variance of a sample
- be able to explain the rejection of statistical hypotheses
- be able to explain the use of different methods in relation to a certain measurement scale
- be able to formulate null and alternative statistical hypotheses
- know the difference between different measurement scales
- know which charts are suitable for which type of data
Course Contents
- Week 1 Introduction to Probability Theory
- Week 2 Important Probability Distributions
- Week 3. Descriptive Statistics and Graphical display
- Week 4. Point estimation and confidence intervals
- Week 5. Hypothesis Testing
- Week 6. Measuring relations between variables
Assessment Elements
- Hypothesis testing taskThe assignment should follow the logic of hypothesis testing as it is presented in the theoretical materials of the course.
- Graded quizzesGraded quizzes for every section of the course. Students will have 2 attempts for every graded quiz.
- Final exam testFinal test with tasks covering the materials of the course. Students will be given 1 attempt.
Interim Assessment
- 2026/2027 1st module0.35 * Final exam test + 0.05 * Hypothesis testing task + 0.6 * Graded quizzes
Bibliography
Recommended Core Bibliography
- 9781292034898 - Agresti, Alan; Finlay, Barbara - Statistical Methods for the Social Sciences - 2014 - Pearson - https://search.ebscohost.com/login.aspx?direct=true&db=nlebk&AN=1418314 - nlebk - 1418314
- Introduction to Statistics and Data Analysis, With Exercises, Solutions and Applications in R, Christian Heumann, Michael Schomaker, Shalabh, Springer Nature Switzerland AG 2022, 978-3-031-11833-3, published: 30 January 2023
Recommended Additional Bibliography
- An introduction to statistics : an active learning approach, Carlson, K. A., 2018