Topics: Statistics, Normal distribution, Statistical hypothesis testing Pages: 26 (5352 words) Published: April 25, 2013
Module information Booklet Taylor’s University Undergraduate Business Programmes

BUS1804 Quantitative Methods for Business

March Semester 2013

Introduction Module Overview Learning Resources Assessment Resit assessment Assessment offences Extenuating Circumstances Assignment Report and Guidelines Module Calendar March Semester 2013 Assignment Cover Sheet and Feedback Form


Welcome to Quantitative Methods of Business, this subject provides students with an introductory survey of the many applications of descriptive and inferential statistics. Students develop the knowledge and skills of collecting, analysing and interpreting data and the ability to perform independently the basic mathematical and statistical analysis after completing this course.


Lecturer and Tutor: Ms. Jayasutha Matiah Block E, Wing A, Level 9, Room 11 Taylor’s University Tel: 603-5629 5662 Email : Tutors: Mr. Welman Tan Block E, Wing A, Level 9, Room 3 Taylor’s University Tel: 603-5629 5670 Email : Ms. Harpaljit Kaur Block E, Wing B, Level 9, Room 3 Taylor’s University Tel : 603-5629 5675 Email :




This module is designed to provide students with an appreciation of the application of analytical tools to business decision contexts. It also develops students’ abilities to access and critically interpret mathematics and statistics information. The module places strong emphasis on developing a clear theoretical understanding of various analytical tools. This is particularly true in business where learning to deal with randomness, variation and uncertainty is a vital skill for anyone intending to apply their knowledge in any employment. Students will also gain an introduction to many of the quantitative techniques which will be used throughout their further studies in their chosen discipline. PREREQUISITE / ASSUMED KNOWLEDGE Prerequisites: None Assumed knowledge: No previous study of Mathematics or Statistics is assumed in this module. However, basic skills in mathematics are expected. MODULE OBJECTIVES

1. To understand basic mathematical concepts and role of quantitative information in business 2. To provide students with the knowledge of statistical techniques that will assist them to recognize situations where quantitative procedures may be of benefit to organize, summarize and present data in relevant forms. 3. To carry out independent statistical investigation, together with an awareness of the assumptions and limitations involved with the generalization of the results of such investigations. 4. To apply a range of methods that is useful in solving statistical problems in a business context. LEARNING OUTCOMES On successful completion of this module students should be able to: Interpret results of quantitative analysis for business decision-making Use appropriate statistical techniques for manipulating and analysing business data Calculate measures of central tendency and measures of variability Identify the appropriate distributions involved in solving probability problems Explain the importance of sampling and the Central Limit Theorem Define the basic statistical principles and their limitation in the context of posing a hypothesis, collecting, analysing and interpreting the results 7. Differentiate between various types of statistical information and reporting 8. Use a computer-based data analysis package to critically analyse data including appropriate techniques in organizing and presenting different types of data. 1. 2. 3. 4. 5. 6.


Upon successful completion of this module, a student should be equipped with the following Taylor’s graduate capabilities: Taylor's Graduate Capabilities - Degree

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