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School of Social Sciences

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BAEcon Economics
Learn how the social sciences can help you to understand today's world.

BAEcon Economics / Course details

Year of entry: 2018

Course unit details:
Further Statistics

Unit code ECON20292
Credit rating 10
Unit level Level 2
Teaching period(s) Semester 2
Offered by Economics
Available as a free choice unit? Yes

Overview

See course Blackboard pages.

Pre/co-requisites

Unit title Unit code Requirement type Description
Introductory Statistics for Economists SOST10062 Pre-Requisite Compulsory
Further Mathematics ECON20281 Pre-Requisite Compulsory
ECON20292 Pre-requisite: ECON10062. Co-requsite: ECON20281

Aims

The objectives of this course are that students will be able to:

  1. Understand and construct basic descriptive statistics (such as sample means, variances, and correlation coefficients).
  2. Obtain and manipulate probabilities from various statistical models (such as the Binomial, Normal, and Student-t).
  3. Understand, explain and derive various statistical properties (such as expectation, variance, covariance, correlation and estimation).
  4. Construct and interpret confidence intervals for population means and proportions.
  5. Carry out and interpret simple hypothesis tests of relevance in the social sciences.
     

Learning outcomes

At the end of this unit, successful students will be able to:

  1. Better understand statistical information such as used every day.
  2. Use fundamental methods (including theory) of classical statistics such as might be employed by modern social scientists and used in more advanced applied economics modules. 

Syllabus

  • Descriptive statistics.
  • Random variables.
  • Probability and probability distributions.
  • Means, variances and distributions.
  • Hypothesis testing.

Teaching and learning methods

Lectures and tutorial classes.

Employability skills

Analytical skills
Enhance your skills of analysing and interpreting data as well as processing statistical information using appropriate software.
Other
The unit wills also foster self-management and capacity to work in teams.

Assessment methods

Method Weight
Written exam 70%
Project output (not diss/n) 30%

Feedback methods

  • Past assessed exercise.
  • Tutorial feedback.
  • Office hours.
  • Revision sessions.
  • Discussion boards.

Recommended reading

Students will be provided with detailed lecture notes written by Prof. Len Gill. These comprise the foundational text for the course.

The course will also draw on “Statistics for Business and Economics”, 3rd Edition, by Anderson, Sweeney, Williams, Freeman, Shoesmith and “Statistics in Plain English” by Timothy Urdan  (any edition will suffice). Other readings will be provided during the term where appropriate. 

Study hours

Scheduled activity hours
Assessment written exam 1.5
Lectures 16
Tutorials 7
Independent study hours
Independent study 75.5

Teaching staff

Staff member Role
Jennifer Golan Unit coordinator

Additional notes

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