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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 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 typeNumberLength hoursStudent hours
Lectures102.0020.00
seminars101.0010.00
Private study hours120.00
Total Contact hours30.00
Total hours (100hr per 10 credits)150.00

Private study

Post-lecture reading: 44 hours
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 typeExam 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.

Reading list

The reading list is available from the Library website

Last updated: 17/05/2017

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