Аспирантура
2025/2026
Основы статистики
Статус:
Факультатив
Кто читает:
Департамент образовательных программ
Где читается:
Институт образования
Когда читается:
1-й курс, 1 семестр
Охват аудитории:
для своего кампуса
Преподаватели:
Капуза Анастасия Васильевна
Язык:
английский
Кредиты:
2
Контактные часы:
28
Course Syllabus
Abstract
The purpose of the course is to master the main stages of statistical analysis: from data collection and processing to basic data analysis methods and visual representation and interpretation of analysis results.
Learning Objectives
- The course aims to introduce doctoral students to the fundamental concepts of descriptive and inferential statistics and to develop an understanding of how these concepts are used in empirical research in education.
Expected Learning Outcomes
- Describe variables and data by identifying levels of measurement and selecting appropriate measures of central tendency and variability
- Distinguish between populations and samples and explain the role of sampling and sampling variability in quantitative educational research
- Compute and interpret basic descriptive statistics (means, medians, variability measures, percentiles) using Excel and relate them to research questions
- Formulate and interpret statistical hypotheses, including null and alternative hypotheses, and explain the logic of hypothesis testing and statistical significance
- Select and conceptually justify appropriate statistical tests (t-test, ANOVA overview, non-parametric tests) based on the research design, type of variables, and data characteristics, and interpret their results in substantive terms
Course Contents
- Data, Measurement, and Descriptive Reasoning in Educational Research
- Statistical Inference and Decision-Making Under Uncertainty
Interim Assessment
- 2025/2026 1st semesterThe course is assessed on a pass/fail basis. To receive a pass, students must complete all homework assignments with a score of at least 5 points each.
