# 2016/17 Taught Postgraduate Module Catalogue

## LUBS5586M Quantitative Analysis

### 15 creditsClass Size: 120

Module manager: Sajid Siraj
Email: S.Siraj@leeds.ac.uk

Taught: Semester 1 (Sep to Jan) View Timetable

Year running 2016/17

This module is not approved as an Elective

### Objectives

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.

Learning outcomes
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

### Syllabus

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.

### Teaching methods

Due to COVID-19, teaching and assessment activities are being kept under review - see module enrolment pages for information

 Delivery type Number Length hours Student hours Lectures 10 2.00 20.00 seminars 10 1.00 10.00 Private study hours 120.00 Total Contact hours 30.00 Total hours (100hr per 10 credits) 150.00

### Private study

Seminar reading and preparation: 42 hours
Examination revision: 34 hours

### Opportunities for Formative Feedback

Participants will receive verbal feedback during lectures and in seminars.

### Methods of assessment

Due to COVID-19, teaching and assessment activities are being kept under review - see module enrolment pages for information

Exams
 Exam type Exam duration % of formal assessment Standard exam (closed essays, MCQs etc) 2 hr 100.00 Total percentage (Assessment Exams) 100.00

Resit is by 2 hour unseen examination.