2026/2027

Введение в статистику

Статус: Маго-лего

Кто читает: Международная лаборатория прикладного сетевого анализа

Где читается: Факультет социальных наук

Онлайн-часы: 40

Охват аудитории: для своего кампуса

Преподаватели: Оганян Артём Ашотович, Павлова Ирина Анатольевна

Язык: русский

Кредиты: 3

Контактные часы: 24

Программа дисциплины

Аннотация

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.

Цель освоения дисциплины

• 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.

Планируемые результаты обучения

• 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

Содержание учебной дисциплины

• 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

Элементы контроля

• Hypothesis testing task
  The assignment should follow the logic of hypothesis testing as it is presented in the theoretical materials of the course.
• Graded quizzes
  Graded quizzes for every section of the course. Students will have 2 attempts for every graded quiz.
• Final exam test
  Final test with tasks covering the materials of the course. Students will be given 1 attempt.

Промежуточная аттестация

• 2026/2027 1st module
  0.35 * Final exam test + 0.05 * Hypothesis testing task + 0.6 * Graded quizzes

Список литературы

Рекомендуемая основная литература

• 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

Рекомендуемая дополнительная литература

• An introduction to statistics : an active learning approach, Carlson, K. A., 2018

Авторы

• Климов Иван Александрович
• Оганян Артём Ашотович
• Павлова Ирина Анатольевна