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2011/12 Undergraduate Module Catalogue
LUBS1675 Introductory Statistics for Management (I)
10 creditsClass Size: 200
Module manager: Dr Barbara Summers
Email: bs@lubs.leeds.ac.uk
Taught: Semester 2 (Jan to Jun) View Timetable
Year running 2011/12
Pre-requisite qualifications
Pass in GCSE Mathematics at grade B or above.This module is mutually exclusive with
MATH0365 | Foundation Probability and Statistics |
MATH1050 | Calculus and Mathematical Analysis |
MATH1715 | Introduction to Probability |
MATH1840 | Introduction to Statistical Modelling |
MATH2790 | Modelling and Simulation |
MATH3743 | Design and Analysis of Experiments |
This module is not approved as an Elective
Module summary
On completion of this module students should be able to: - appreciate the value of quantitative approach to solving a wide range of business problems- recognise limitations of a quantitative approach- understand and apply basic statistical concepts within business situations- benefit from modules of their degree programme that require possession of quantitative skills and knowledge.The module allows students to consider foundation statistics for management and business programmes comprising: - descriptive statistics- frequency distributions and histograms- averages and measures of dispersion- regression and correlation- ANOVA- the nature of probability and probability distributions- sampling theory, estimation and confidence intervals- hypothesis testing.Objectives
On completion of this module students should be able to:- appreciate the value of quantitative approach to solving a wide range of business problems; recognise limitations of a quantitative approach
- understand and apply basic statistical concepts within business situations
- benefit from modules of their degree programme that require possession of quantitative skills and knowledge.
Syllabus
Foundation statistics for management and business programmes comprising:
- descriptive statistics
- frequency distributions and histograms
- averages and measures of dispersion
- regression and correlation
- ANOVA
- the nature of probability and probability distributions
- sampling theory, estimation and confidence intervals
- hypothesis testing.
Teaching methods
Delivery type | Number | Length hours | Student hours |
Lecture | 11 | 2.00 | 22.00 |
Private study hours | 78.00 | ||
Total Contact hours | 22.00 | ||
Total hours (100hr per 10 credits) | 100.00 |
Opportunities for Formative Feedback
- Students will be given a mid-term test which will cover the part of the stats material taken up to that time in the module.- Feedback on this test will be given in the form of solutions.
Methods of assessment
Exams
Exam type | Exam duration | % of formal assessment |
Standard exam (closed essays, MCQs etc) | 2 hr 00 mins | 100.00 |
Total percentage (Assessment Exams) | 100.00 |
Normally resits will be assessed by the same methodology as the first attempt, unless otherwise stated
Reading list
The reading list is available from the Library websiteLast updated: 29/03/2012
Browse Other Catalogues
- Undergraduate module catalogue
- Taught Postgraduate module catalogue
- Undergraduate programme catalogue
- Taught Postgraduate programme catalogue
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