QMBE B (N2582F)
Quantitative Methods for Business and Economics: Statistics
Module N2582F
Module details for 2025/26.
15 credits
FHEQ Level 3 (sub-degree)
Module Outline
This module builds on work covered in the Autumn term, and here you will learn how to present and interpret data through the use of charts and graphs, as well as developing your skills in working with simple summary statistics.
There will be a strong emphasis on practical applications to "real-world" issues, for example through looking at economic, business and finance data and applying ideas such as discount rates to investment decisions. The skills developed in this module will also be transferable for use in other disciplines outside business and the social sciences as well as in everyday life.
Module learning outcomes
Construct, interpret and extract information from graphs
Calculate simple summary statistics with accuracy
Appreciate the uncertainty inherent in statistical data
Present statistical information, including the associated uncertainty, in a clear and coherent manner
| Type | Timing | Weighting |
|---|---|---|
| Coursework | 20.00% | |
| Coursework components. Weighted as shown below. | ||
| Report | T2 Week 10 | 100.00% |
| Take Away paper | Spring Vacation Week 3 Thu 10:00 | 80.00% |
Timing
Submission deadlines may vary for different types of assignment/groups of students.
Weighting
Coursework components (if listed) total 100% of the overall coursework weighting value.
| Term | Method | Duration | Week pattern |
|---|---|---|---|
| Spring Semester | Seminar | 1 hour | 11111111111 |
| Spring Semester | Lecture | 1 hour | 22222222222 |
How to read the week pattern
The numbers indicate the weeks of the term and how many events take place each week.
Mr Matteo Madotto
Convenor, Assess convenor
/profiles/518890
Dr Polona Osojnik
Assess convenor
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Dr Katherine Kruger
Assess convenor
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Dr Jill Kirby
Assess convenor
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Dr Emily Baker
Assess convenor
/profiles/123259
Mr Chris Stocking
Assess convenor
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Prof Graeme Pedlingham
Assess convenor
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