ECTS: 
5
Lecturer: 
Professor Tadeusz Bednarski
Type: 
Compulsory
Level: 
Advanced

Personal information:
https://prawo.uni.wroc.pl/user/12028

Lecture
Number of hours: 
2h X 8 weeks = 16 hours (1 semester)
Laboratory
Number of hours: 
2h X 7 weeks = 14 hours (1 semester)
Objective: 

Learning methods of descriptive statistics.
Use of a statistical package Gretl.
Basic notions of probability and risk.
Statistical inference and basic data analysis methods.
Regression analysis of economic and business data.

Assessment: 

Written examination
Laboratory assignments ( 40 % ), final examination ( 60% )

Prerequisites: 

introductory statistics and calculus

Contents: 

Principal data presentation and data analytic techniques based on statistical inference. Understanding its range of applications in business, finance and management. Preparing, presenting and analyzing data with a statistical package Gretl.

 

Lectures

1. Descriptive statistics.

2. Introduction to GRETL.

3. Probability, random variable, expectation, variance.

4. Confidence intervals.

5. Testing hypotheses.

6. Linear regression.