ECON42480 Statistics HDip

Academic Year 2023/2024

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.

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Curricular information is subject to change

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 Open Book Exam Component Scale Must Pass Component % of Final Grade
Examination: Final examination 2 hour End of Trimester Exam No Graded No

70
Class Test: Midterm Unspecified n/a Graded No

30

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.

Timetabling information is displayed only for guidance purposes, relates to the current Academic Year only and is subject to change.
 
Autumn
      
Lecture Offering 1 Week(s) - 1, 2, 3, 4, 5, 6, 7, 9, 10, 11, 12 Thurs 14:00 - 14:50
Lecture Offering 1 Week(s) - 1, 2, 3, 4, 5, 6, 7, 9, 10, 11, 12 Wed 11:00 - 11:50
Tutorial Offering 1 Week(s) - 3, 5, 7, 10, 12 Wed 09:00 - 09:50
Autumn