Module manager: Peizhi Shi
Email: p.shi@leeds.ac.uk
Taught: Semester 1 (Sep to Jan) View Timetable
Year running 2024/25
This module is not approved as an Elective
This course aims to give students a sound grounding in quantitative analysis at the level necessary to: 1) facilitate their study of academic literature on their MSc programme, 2) facilitate their undertaking of a quantitative research project for their dissertation, and 3) allow them to use and interpret results from such methods in a business environment.
On completion of this module, students will be able to use descriptive statistics and various ways to present data, and be able to use quantitative methods for analysis, critically evaluating their potential and pitfalls, including the following methods and concepts:
- probability and probability distributions
- hypothesis testing and confidence intervals
- the multivariate analysis of linear relationships
- group comparisons (using ANOVA)
- exploratory factor analysis.
Skills outcomes:
Transferable
- Analytical skills
- Critical thinking skills
Indicative content:
Descriptive Statistics
Levels of measurement, measures of location & dispersion, handling grouped data, data presentation
Probability
The nature of probability, probability laws, conditional probabilities, probability distributions: their properties & uses
Hypothesis Testing
Estimating from samples, hypothesis testing, confidence intervals
Multivariate Regression Analysis
Analysis of linear relationships, correlation, linear regression & forecasting
Group Comparisons
Analysis of differences between groups (on and two way ANOVA with covariates)
Factor Analysis
How exploratory factor analysis can be used in data analysis.
| Delivery type | Number | Length hours | Student hours |
|---|---|---|---|
| Lectures | 10 | 2 | 20 |
| seminars | 10 | 1 | 10 |
| Private study hours | 120 | ||
| Total Contact hours | 30 | ||
| Total hours (100hr per 10 credits) | 150 | ||
This could include a variety of activities, such as reading, watching videos, question practice and exam preparation.
Your teaching methods could include a variety of delivery models, such as face-to-face teaching, live webinars, discussion boards and other interactive activities. There will be opportunities for formative feedback throughout the module.
| Exam type | Exam duration | % of formal assessment |
|---|---|---|
| Standard exam (closed essays, MCQs etc) | 2.0 Hrs Mins | 100 |
| Total percentage (Assessment Exams) | 100 | |
The resit for this module will be assessed 100% by 2 hour exam.
The reading list is available from the Library website
Last updated: 16/08/2024
Errors, omissions, failed links etc should be notified to the Catalogue Team