Course Title: Quantitative Method notes

Course Title: Quantitative Method.



By DR.JESSICA FRANCIS.




(UNITED STARES INTERNATIONAL UNIVERSITY.)


@2022-2024 EDITION




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,BMCU002 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

Specific Objectives
By the end of the course unit the learner should be able to:-
 Apply linear, quadratic and simultaneous equations to solve business problems
 Describe the various methods of data collection
 Present data in form of tables, graphs and curves
 Calculate measures of location, dispersion and skew ness
 Compute weighted index numbers

Course Content
1. Introduction - Week1
 Introduction and overview
 Principles of a model-based approach.
 Types of models.
 Importance of risk and uncertainty.
 Stages in an operational research study.
2. Introduction to matrix algebra-Week2&3
 Application of matrix algebra in business and economics Define a Matrix
 Add, Subtract and Multiply Matrices and Vectors
 Describe Zero and Unity Matrices
 Invert a Matrix
 Evaluate Probability Transition Matrices.

3. Introduction to calculus - Week 4
 Application of derivatives in business and economics
 Integral calculus and its applications in business and economics
 Calculate the derivatives of common expression.
 Use differentiation to solve typical problems.
 Use differentiation to find the maximum and minimum points of various functions.
 Undertake partial differentiation and basic integration.
 Distinguish between definite and indefinite integrals.

4. Introduction to statistical concepts - Week 5&6
 Collecting organizing and presenting data
 Statistical measurements of location
 Dispersion and skew ness,
 Statistics and its uses.
 Business Statistics
 Limitations of statistics.
 Variables.
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,  Levels and scales of measurement.
 Discus Collection of data, Presentation of data, Analysis of data, Interpretation of data.

5. Probability theory - Week 7&8
 Definition of probability
 Equally likely and non-equally likely outcomes.
 Sample space of an experiment
 Mutually exclusive events and addition rule.
 Independent events and multiplication rule.
 Conditional probabilities
 Probabilities using tree diagrams.

6. Cat - Week 8

7. Sampling and sampling distributions - Week 8& 9
 Population census and the properties of a good sample.
 Methods of sampling.
 Parametric and non parametric tests of hypothesis


8. Quantitative Method Models/Assignment - Week 10

10. Regression and correlation analysis - Week 11
 Variables.
 Correlation.
 Regression Analysis
 Least Squares


11. Time series analysis – week 12
 Forecasting
 Forecasting techniques
 Moving average.
 Exponential smoothing.
 Time series models.
 Use regression analysis in forecasting.

12. Index Numbers – week 13
 Index numbers and their application
 Compute the index numbers.
 Determine weights and price relatives.

12. Main Exam - Week 14

Teaching / Learning Methodologies: Lectures and tutorials; group discussion; demonstration;
Individual assignment; Case studies
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, Instructional Materials and Equipment: Projector; test books; design catalogues; computer
laboratory; design software; simulators

Course Assessment
Examination - 70%; Continuous Assessment Test (CATS) and Assignments - 30%; Total - 100%

Recommended Text Books:
 Sweeny Williams Anderson (2007), Quantitative Methods for Business, McGraw Hill,
New York
 Oakshott Les (2006), Essential Quantitative Methods For Business, Management And
Finance Routledge, London
 B S Sharma(2006); Quantitative Methods; Anmol Publications Pvt
 Anderson (2007); Quantitative Methods; Cengage Learning ( Thompson )

Text Books for further Reading:
* Louise Swift and Sally Piff (2005), Quantitative Methods For Business, Management
And Finance McGraw Hill, New York




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