Monday, 24 June 2013

MBA 504 QUANTITATIVE METHOD

Contact hours: 42

Pre-requisites: None

Purpose: To Develop the learner’s knowledge and competency in mathematical skills applicable in commercial arithmetic and financial transactions
Expected learning outcome of the course:
By the end of the course unit the learner should be able to:-

i) Apply linear, quadratic and simultaneous equations to solve business problems
ii) Describe the various methods of data collection
iii) Present data in form of tables, graphs and curves
iv) Calculate measures of location, dispersion and skewness
v) Compute weighted index numbers

Course Content

Introduction and overview, introduction to matrix algebra, application of matrix algebra in business and economics, introduction to calculus, application of derivatives in business and economics, integral calculus and its applications in business and economics, introduction to statistical concepts, collecting, organizing and presenting data, statistical measurements of location, dispersion and skewness, probability theory, probability distributions, sampling and sampling distributions, hypothesis testing, regression and correlation analysis, time series analysis, index numbers and their applications.
Course outline

WEEK 1 INTRODUCTION AND OVERVIEW

WEEK 2 MATRIX ALGEBRA Operations of matrices Applications of matrices Data storage System of equations Markov process Input-output analysis

WEEK 3&4 CALCULUS Introduction Application of derivatives in business Integral calculus Application of integral calculus

WEEK 5&6 STATISTICAL CONCEPTS Introduction to statistics
Collecting, organizing and presenting data Measures of central tendency Measures of dispersion Measures of skewness and kurtosis

WEEK 7&8 PROBABILITY Basic concepts Sets and their application Probability distributions Binomial distributions

WEEK 9 SAMPLING AND SAMPLING DISTRIBUTIONS Sampling methods/techniques Determining of sample size

WEEK 10&11 HYPOTHESIS TESTING Parameter tests (all) -T&Z test Non-parametric tests (all)
 X2
 F-tests
 Rank correlation (R2)

WEEK 12&13 CORRELATION AND REGRESSION Meaning and purpose Estimation of parameters Fitness (R2 and F test) Significance of regression parameter

WEEK 14 TIME SERIES/INDEX NUMBERS

Course Assessment
Examination (Week 15-16) -70%
Continuous Assessment Test (CATS) (week 7 and week 11) -20%
Assignments -10%
Total -100%

Recommended Text Books:
i) Sweeny Williams Anderson (2007), Quantitative Methods for Business, McGraw Hill, New York
ii) Oakshott Les (2006), Essential Quantitative Methods For Business, Management And Finance Routledge, London
iii) B S Sharma(2006); Quantitative Methods; Anmol Publications Pvt
iv) Anderson (2007); Quantitative Methods; Cengage Learning ( Thompson )
Text Books for further Reading:
i) Louise Swift and Sally Piff (2005), Quantitative Methods For Business, Management And Finance McGraw Hill, New York

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