Module manager: Samantha Earl
Email: S.Earl@leeds.ac.uk
Taught: Semester 2 (Jan to Jun) View Timetable
Year running 2024/25
| MATH1710 | Probability and Statistics I |
| MATH1712 | Probability and Statistics II |
This module is not approved as a discovery module
This module introduces you to a range of quantitative techniques that are commonly used as management decision making tools. You will also develop an understanding of the limitations of the application of quantitative techniques within a decision making context.
The aims of the module are to enable the student to:
-Analyse and interpret quantitative data
-Apply quantitative and statistical techniques
-Present quantitative information in a suitable format for use by management
On successful completion of the module students will be able to:
- Apply and interpret probability theory and decision analysis
- Apply and interpret inferential statistical tests
- Formulate and interpret a linear programming model
- Apply and interpret time-series analysis
The content will cover such areas as:
-Central tendency and variability
- Probability theory and decision trees
- Sampling Theory and the Central Limit Theorem
-Confidence Intervals
-Hypothesis Testing
- Linear programming
- Time series analysis.
| Delivery type | Number | Length hours | Student hours |
|---|---|---|---|
| Workshop | 13 | 1.5 | 19.5 |
| Private study hours | 180.5 | ||
| Total Contact hours | 19.5 | ||
| Total hours (100hr per 10 credits) | 200 | ||
- Reading: 80 hours
- Critical reflection on practice: 39 hours
- Examination preparation: 30 hours
-Assignment preparation 31.5 hours
Through regular workshops, monitoring of student contributions and the staged submission of formative assessment.
| Assessment type | Notes | % of formal assessment |
|---|---|---|
| In-course Assessment | 2 hour exam | 50 |
| In-course Assessment | 2 hour exam | 50 |
| Total percentage (Assessment Coursework) | 100 | |
Normally resits will be assessed by the same methodology as the first attempt, unless otherwise stated
The reading list is available from the Library website
Last updated: 4/29/2024
Errors, omissions, failed links etc should be notified to the Catalogue Team