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Unit information: Probability, Statistics and Econometrics in 2023/24

Unit name Probability, Statistics and Econometrics
Unit code ECON10003
Credit points 20
Level of study C/4
Teaching block(s) Teaching Block 2 (weeks 13 - 24)
Unit director Dr. Navid
Open unit status Not open
Units you must take before you take this one (pre-requisite units)

ECON10005 Mathematics for Economics

Units you must take alongside this one (co-requisite units)

None

Units you may not take alongside this one

None

School/department School of Economics
Faculty Faculty of Social Sciences and Law

Unit Information

Why is this unit important?

Economics, as a social science, relies on analysis of observed data to test and improve theoretical models, with econometrics providing the tool to build causal relationships between economic variables.

This unit provides the essential statistical foundations that you will build upon in several core units across your undergraduate programme of study including econometrics, applied economics and finance.

This unit will equip you with the knowledge of methods and techniques that allow you to analyse real-world economic and financial data, and enable you to develop an appreciation of the meaning of statistical analysis used to test economic theory, evaluate problems in finance and the potential issues that may exist when trying to make conclusions about causal relationships.

How does this unit fit into your programme of study?

This unit equips students with the knowledge of quantitative techniques that are appropriate for analyzing data in economics and finance that students will need in further years of their study.

Your learning on this unit

Students will be able:

  1. To manipulate mathematical formulae to solve problems involving probability and statistical functions
  2. To apply probabilistic methods to economic problems and to interpret the results of probabilistic models
  3. To understand statistical concepts and to apply these to estimation and hypothesis testing
  4. To use appropriate statistical software (such as Excel) to carry out simple statistical analysis.

How you will learn

Teaching will be delivered through a combination of large and small group classes, supported by online resources

Tasks which help you learn and prepare you for summative tasks (formative):

Workshop (tutorial questions) every week workshop is scheduled. Each set of problems will prepare students for the assignment/data project and exam

How you will be assessed

How you will be assessed (requirements for the award of credit)

Tasks which count towards your unit mark (summative):

  • Data Analysis Group Project (30%)
  • Exam (2 hours) (70%)

When assessment does not go to plan

Reassessment will be in the form of a single examination (2 hours)

Resources

If this unit has a Resource List, you will normally find a link to it in the Blackboard area for the unit. Sometimes there will be a separate link for each weekly topic.

If you are unable to access a list through Blackboard, you can also find it via the Resource Lists homepage. Search for the list by the unit name or code (e.g. ECON10003).

How much time the unit requires
Each credit equates to 10 hours of total student input. For example a 20 credit unit will take you 200 hours of study to complete. Your total learning time is made up of contact time, directed learning tasks, independent learning and assessment activity.

See the University Workload statement relating to this unit for more information.

Assessment
The Board of Examiners will consider all cases where students have failed or not completed the assessments required for credit. The Board considers each student's outcomes across all the units which contribute to each year's programme of study. For appropriate assessments, if you have self-certificated your absence, you will normally be required to complete it the next time it runs (for assessments at the end of TB1 and TB2 this is usually in the next re-assessment period).
The Board of Examiners will take into account any exceptional circumstances and operates within the Regulations and Code of Practice for Taught Programmes.

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