Introduction to Statistics

Course Level: 
Bachelor's
Campus: 
Vienna
Course Open to: 
Students on-site
Academic Year: 
2022-2023
Term: 
Winter
US Credits: 
3
ECTS Credits: 
6
Course Code: 
UGST4034
Course Description: 

This course provides an introduction to probability theory, sampling statistics and estimation, statistical hypothesis testing, and simple linear regression.  

Learning Outcomes: 

By the end of the course, students will understand the main notions of probability and statistics.  

They will be able to compute and interpret:  

- probability distributions, expected value and variance of discrete and continuous random variables  

- graphical representations (histograms, scatter plots) and statistics of samples (mean, mode, median, variance, standard deviation, correlation coefficient)  

- point and interval estimators of population mean, variance and proportions;  

- statistical tests concerning the mean of normal populations and population proportions;  

- simple linear regression models.  

Prerequisites: 

Foundations of Mathematics and Data Analysis