Mathematical Statistics

Academic Program: 
Course Term: 
1st year
Term: 
Fall
Credits: 
3.0
ECTS credits: 
6.0
Status: 
Core
Course Description: 

The course discusses the mathematical foundations of
basic statistical tools that are frequently used in econometric analysis.
The course is a pre-requisite for the Econometrics
I course later in the fall semester. Students passing the exam should be
familiar with the basic statistical concepts (samples, estimators, properties of
estimators, confidence intervals, hypothesis tests, t-statistics and p-values) used
intensively in econometrics, so that the later course could focus on econometric
issues instead of the technicalities.

Assumed background
• Basic calculus (at the level of pre-session maths)
• Basic linear algebra (at the level of pre-session maths)

Learning Outcomes: 

A good understanding of the following concepts: estimators, con dence intervals, hypothesis tests, test statistics,p-values

Assessment: 

1. There will be five problem sets during the term with a total weight of 25% (5% each).

2. There will be a final exam for a total weight of 75%

3.Grading:
students must achieve at least 60 percent (AND at least 50 percent from the problem sets and 50 percent in the exam) to pass.

Grades:
0-59: F (fail)
60-69: C
70-79: B
80-100: A

Prerequisites: 

Pre-session Mathematics

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