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- UCAS course code
- NR11
- UCAS institution code
- M20
BA Modern Language and Business & Management (French) / Course details
Year of entry: 2024
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Course unit details:
Advanced Statistics
Unit code | ECON10072A |
---|---|
Credit rating | 10 |
Unit level | Level 1 |
Teaching period(s) | Semester 2 |
Available as a free choice unit? | Yes |
Overview
Introduction to fundamental methods of statistics, which are the basis of techniques widely used in the analysis of economic and social data. Students will learn the basics of statistical theory, but will also learn how to use a spreadsheet software (EXCEL) in order to apply these methods to real-life data.
The module is designed for students who have Maths A-Level or equivalent.
Pre/co-requisites
Unit title | Unit code | Requirement type | Description |
---|---|---|---|
Advanced Mathematics | ECON10071A | Pre-Requisite | Compulsory |
Aims
Introduction to fundamental methods of statistics, which are the basis of techniques widely used in the analysis of economic and social data. Students will learn the basics of statistical theory, but will also learn how to use a spreadsheet software (EXCEL) in order to apply these methods to real-life data.
The course is designed for students who have Maths A-Level or equivalent.
Learning outcomes
Students should be able to
i) construct and understand essential descriptive statistics for sample data (means, variances, correlations, regression coefficients),
ii) manipulate conditional and unconditional probability,
iii) obtain and manipulate probabilities from important statistical distributions (including the Binomial, Normal and Student-t),
iv) understand and apply key statistical concepts to real-life data,
v) construct and interpret confidence intervals for population means and proportions,
vi) carry out and interpret simple hypothesis tests of relevance in the social sciences.
vii) implement the statistical techniques covered in a spreadsheet software to real-life data
Syllabus
Syllabus
The module’s notes are headed as follows:
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, covariances, correlation, independence),
5. Sampling Distributions (sample mean and proportion),
6. Hypothesis Testing (sample means and proportions, large sample tests),
7. More Statistical Inference (confidence intervals, p-values, regression inference)
Teaching and learning methods
Synchronous activities (such as Lectures or Review and Q&A sessions, and tutorials), and guided self-study
Employability skills
- Analytical skills
- Synthesis and analysis of data and information.
- Problem solving
- Other
- Numeracy. Time Management. Spreadsheet Skills.
Assessment methods
3 assessments of 10% each
70% Final Exam
The criteria used by Economics in the assessment of examinations and coursework can be found on the UG Intranet in your programme handbook (BSc Economics, BA(ECON)
Feedback methods
- Exercise classes.
- Online quizzes.
- PASS groups.
- Office hours.
Recommended reading
All students are expected to use the detailed course 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
Teaching staff
Staff member | Role |
---|---|
Ralf Becker | Unit coordinator |
Prasenjit Banerjee | Unit coordinator |
Additional notes
For every 10 course unit credits we expect students to work for around 100 hours. This time generally includes any contact times (online or face to face, recorded and live), but also independent study, work for coursework, and group work. This amount is only a guidance and individual study time will vary.