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School of Social Sciences

Students outside a lecture theatre at The University of Manchester
BAEcon Economics
Learn how the social sciences can help you to understand today's world.

BAEcon Economics

Year of entry: 2018

Course unit details:
Advanced Statistics

Unit code ECON10072
Credit rating 10
Unit level Level 1
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
Advanced Mathematics ECON10071 Pre-Requisite Compulsory
Co-requisites: ECON10071

Aims

Introduction to fundamental methods of statistics, which are the basis of techniques widely used in the analysis of economic and social data. The course is designed for students who have Maths A-Level or equivalent.

Learning outcomes

At the end of this course, you should be able to:

  1. Construct and understand essential descriptive statistics for sample data (means, variances, correlations, regression coefficients).
  2. Manipulate conditional and unconditional probability.
  3. Obtain and manipulate probabilities from important statistical distributions (including the Binomial, Normal and Student-t).
  4. Understand and use key statistical concepts (including population, expectation, estimation).
  5. Construct and interpret confidence intervals for population means and proportions.
  6. Carry out and interpret simple hypothesis tests of relevance in the social sciences.

Syllabus

1. Introduction and Descriptive Statistics.
2. Probability and Discrete Random Variables (means and variances).
3. Continuous Random Variables (means, variances, Normal distribution).
4. Expectations and Combinations of Variables (means, variances, joint probability distributions,
covariances, correlation, independence).
5. Sampling Distributions (samples, populations, properties).
6. Hypothesis Testing (sample means and proportions, large sample tests).
7. More Statistical Inference (confidence intervals, p-values).

Teaching and learning methods

Lectures and exercise classes.

Employability skills

Analytical skills
Synthesis and analysis of data and information.
Problem solving
Other
Numeracy. Time Management.

Assessment methods

Method Weight
Other 5%
Written exam 95%

Mid-Term Test on Blackboard: 5%.

For information about feedback please follow this link:
http://www.campus.manchester.ac.uk/tlso/map/teachinglearningassessment/assessment/sectionb-thepracticeofassessment/policyonfeedbacktostudents/

Feedback methods

  • Weekly exercise classes.
  • Online quizzes.
  • PASS groups.
  • Office hours.
     

Recommended reading

All students are expected to download the detailed module notes. These form the basis of the lecture and tutorial material.
Many introductory statistics books cover the material in the module.

Multiple copies of the following texts are available in the Main and Precinct Centre libraries:

  • Newbold, Carlson and Thorne (2009), Statistics for Business and Economics.
  • Wonnacott and Wonnacott (1990), Introductory Statistics for Business and Economics.
     

Study hours

Scheduled activity hours
Assessment written exam 1.5
Lectures 15
Tutorials 8
Independent study hours
Independent study 75.5

Teaching staff

Staff member Role
Simon Peters Unit coordinator

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