Module manager: Dr Barbara Summers
Email: bs@lubs.leeds.ac.uk
Taught: Semester 2 (Jan to Jun) View Timetable
Year running 2011/12
Pass in GCSE Mathematics at grade B or above.
| 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
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.
                    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.
                    
                    
                
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.
| Delivery type | Number | Length hours | Student hours | 
|---|---|---|---|
| Lecture | 11 | 2 | 22 | 
| Private study hours | 78 | ||
| Total Contact hours | 22 | ||
| Total hours (100hr per 10 credits) | 100 | ||
- 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.
| Exam type | Exam duration | % of formal assessment | 
|---|---|---|
| Standard exam (closed essays, MCQs etc) | 2.0 Hrs 0 Mins | 100 | 
| Total percentage (Assessment Exams) | 100 | |
Normally resits will be assessed by the same methodology as the first attempt, unless otherwise stated
Check the module area in Minerva for your reading list
Last updated: 29/03/2012
Errors, omissions, failed links etc should be notified to the Catalogue Team