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2017/18 Taught Postgraduate Module Catalogue

LUBS5901M Quantitative Methods for International Business

15 creditsClass Size: 200

Module manager: Emma Liu
Email: E.Y.Liu@leeds.ac.uk

Taught: Semester 1 (Sep to Jan) View Timetable

Year running 2017/18

Module replaces

LUBS 5219M

This module is not approved as an Elective

Objectives

This module examines how a wide range of statistical techniques and numerical tools can be applied to real-world business problems. Emphasis is placed on showing how managers and practitioners can effectively use such techniques to evaluate and enhance different aspects of organizational performance and formulate policies in the global economy.

Learning outcomes
On completion of this module, students will be able to:
- Measure different aspects of organizational performance, and understand how it is influenced by factors such as international expansion and innovation.
- Employ a wide range of quantitative methods, critically evaluate their benefits and problems, and use such techniques in practice in order to solve business problems.
- Use SPSS/PASW to estimate and present descriptive statistics for both quantitative and qualitative data.
- Use regression analysis to evaluate the relationship between two (or more) variables.
- Carry out hypothesis testing and understand the strategic importance of the results.

Skills outcomes
Learn to select and apply the appropriate statistical techniques to solve certain problems while using statistical software and interpret the results.


Syllabus

Quantitative Methods and Statistics; Descriptive statistics and data presentation; measures of location and dispersion; the nature, properties and use of probability distributions; hypothesis testing; confidence intervals; correlation between variables; linear relationships; curvilinear relationships; s-shape relationships; time-series, cross-sectional and panel-data analysis; linear regression and forecasting; simple and multivariate regression; reverse causality; interaction effects and moderated regression analysis; logistic regression using dependent variables that are qualitative, SPSS.

Teaching methods

Delivery typeNumberLength hoursStudent hours
Lecture112.0022.00
Seminar33.009.00
Private study hours119.00
Total Contact hours31.00
Total hours (100hr per 10 credits)150.00

Private study

- 40 hours: general reading (incl. revision for exams)
- 40 hours: preparation for weekly exercises/problems
- 39 hours: preparation and practicing on SPSS.

Opportunities for Formative Feedback

Students' progress will be monitored weekly through in-class solving of exercises related to the content of the lecture. They will be provided with feedback on their responses by the lecturer during the class and they will also be provided with solutions and explanations to the practical exercises in written-form (or on the VLE) after the class has finished.

Methods of assessment


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

The resit for this module will be 100% by examination

Reading list

The reading list is available from the Library website

Last updated: 19/12/2017

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