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ECON42480

Academic Year 2024/2025

Statistics HDip (ECON42480)

Subject:
Economics
College:
Social Sciences & Law
School:
Economics
Level:
4 (Masters)
Credits:
8
Module Coordinator:
Assoc Professor Kanika Kapur
Trimester:
Autumn
Mode of Delivery:
On Campus
Internship Module:
No
How will I be graded?
Letter grades

Curricular information is subject to change.

This module introduces the main techniques of statistics as used in economics. Students will be introduced to numerical and graphical techniques for representing data. The course outlines the use of simple linear regression, the basic tool of empirical economics. Following a revision of basic probability theory, the use of probability distributions of random variables will be covered. The final part of the course covers the theory of estimation, statistical inference and hypothesis testing. There will be regular exercise sheets for self-assessment.

About this Module

Learning Outcomes:

On completion of this module students should be able to (i) present and summarise data, (ii) apply statistical methods to economic analysis (and other areas of life); (iii) recognise how statistics can be sometimes misleading; (iv) employ basic econometric tools.

Student Effort Hours:
Student Effort Type Hours
Lectures

24
Tutorial

5
Autonomous Student Learning

150
Total

179

Approaches to Teaching and Learning:
Attend lectures and tutorials, do problem sets

Requirements, Exclusions and Recommendations

Not applicable to this module.


Module Requisites and Incompatibles
Incompatibles:
ECON20040 - Statistics for Economists


 

Assessment Strategy  
Description Timing Component Scale Must Pass Component % of Final Grade In Module Component Repeat Offered

Not yet recorded.

Carry forward of passed components
No
 

Resit In Terminal Exam
Spring Yes - 2 Hour
Please see Student Jargon Buster for more information about remediation types and timing. 

Feedback Strategy/Strategies

• Online automated feedback

How will my Feedback be Delivered?

Not yet recorded.

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