Master
2023/2024
Introduction to Statistics
Type:
Compulsory course
Area of studies:
Applied Mathematics and Informatics
Delivered by:
International Laboratory for Applied Network Research
Where:
Faculty of Social Sciences
When:
1 year, 1 module
Mode of studies:
offline
Open to:
students of one campus
Master’s programme:
Applied Statistics with Network Analysis
Language:
English
ECTS credits:
3
Contact hours:
28
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
