AVÊÓƵ

School of Engineering and Informatics (for staff and students)

QMBE B (N2582F)

Quantitative Methods for Business and Economics: Statistics

Module N2582F

Module details for 2023/24.

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

TypeTimingWeighting
Coursework20.00%
Coursework components. Weighted as shown below.
ReportT2 Week 10 100.00%
Take Away paperSpring Vacation Week 3 Thu 10:0080.00%
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.

TermMethodDurationWeek pattern
Spring SemesterLecture1 hour22222222222
Spring SemesterSeminar1 hour11111111111

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
/profiles/387060

Dr Katherine Kruger

Assess convenor
/profiles/245567

Mr Chris Stocking

Assess convenor
/profiles/335362

Prof Graeme Pedlingham

Assess convenor
/profiles/166463

Dr Emily Baker

Assess convenor
/profiles/123259

Dr Jill Kirby

Assess convenor
/profiles/212335

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The University reserves the right to make changes to the contents or methods of delivery of, or to discontinue, merge or combine modules, if such action is reasonably considered necessary by the University. If there are not sufficient student numbers to make a module viable, the University reserves the right to cancel such a module. If the University withdraws or discontinues a module, it will use its reasonable endeavours to provide a suitable alternative module.

School of Engineering and Informatics (for staff and students)

School Office:
School of Engineering and Informatics, AVÊÓƵ, Chichester 1 Room 002, Falmer, Brighton, BN1 9QJ
ei@sussex.ac.uk
T 01273 (67) 8195

School Office opening hours: School Office open Monday – Friday 09:00-15:00, phone lines open Monday-Friday 09:00-17:00
School Office location [PDF 1.74MB]