Contents
 1 Quantitative Techniques
 1.1 Topic 2: Correlation and Regression
 1.2 Topic 3: Linear Programming
 1.3 Topic 4: Matrices
 1.4 Topic 5: Index Numbers
 1.5 Topic 6: Time Series
 1.6 Topic 7: Network Analysis
 1.7 Topic 8: Introduction to Calculus
 1.8 Topic 9: Inventory Control Models
 1.9 Topic 10: Financial Mathematics
 1.10 Topic 11: Probability and Probability
 1.11 Topic 12: Tests of Hypothesis
 1.12 Topic 13: Emerging Trends and Issues in Quantitative Techniques
Quantitative Techniques

KNEC: Diploma in Business Management – Module II

KNEC: Diploma in Human Resource Management – Module II

KNEC: Diploma in Supply Chain Management – Module II
Topics covered in this unit/subject are as follows:
Topic 1: Introduction to quantitative techniques
Topic 2: Correlation and regression
Topic 3: Linear programming
Topic 4: Matrices
Topic 5: Index numbers
Topic 6: Time series
Topic 7: Network analysis
Topic 8: Introduction to calculus
Topic 9: Inventory control models
Topic 10: Financial mathematics
Topic 11: Sampling
Topic 12: Probability and probability distributions
Topic 13: Tests of hypothesis
Topic 14: Emerging trends and issues in quantitative techniques
Introduction
This module unit is intended to equip the trainee with necessary knowledge, skills and attitudes that will enable him/her apply quantitative techniques in making business decisions
General Objectives
At the end of this module unit, the trainee should be able to:
 Use quantitative techniques in business management
 Apply quantitative techniques in decision making
 Apply network analysis in project management
 Cope with the emerging trends and issues in quantitative techniques
Topic 1: Introduction to Quantitative Techniques
 Meaning of quantitative techniques
 Development of quantitative techniques
 Role of quantitative techniques
 Types of quantitative techniques
 Areas where quantitative techniques are applicable
Topic 2: Correlation and Regression
 Definition of terms correlation and regression
 Differences and similarities between correlation and regression
 Methods of studying correlation
 Interpretation of correlation coefficient
 Linear regression equation
 Forecasting using regression equation
Topic 3: Linear Programming
 Definition of linear programming
 Assumption of linear programming
 Requirements of linear programming
 Formulation of linear equation
 Formulation of linear programming problems
 Solving linear programming problems
Topic 4: Matrices
 Definition of matrices
 Types of matrices
 Determination of order of a matrix
 Matrix operations
 Determination of determinant of a matrix
 Inverse of a matrix
 Solving simultaneous equations using matrices
Topic 5: Index Numbers
 Definition of index numbers
 Uses of index numbers
 Types of index numbers
 Factors to be considered in construction of index numbers
 Problems encountered when constructing index numbers
 Computation of index numbers
 Limitations of index numbers
Topic 6: Time Series
 Definition of time series
 Objectives of time series analysis
 Component of a time series
 Computation of time series components
 Decomposition of a time series
Topic 7: Network Analysis
 Meaning of network analysis
 Terms used in network analysis
 Rules used when drawing networks
 Construction of project network
 Critical path and project duration
 Application of network analysis
Topic 8: Introduction to Calculus
 Definition of calculus
 Differentiation of simple functions
 Integration of simple functions
 Application of calculus
Topic 9: Inventory Control Models
 Definition of basic terms used in inventory control
 Inventory control limits
 Minimization of cost of inventories
 Inventory control models
Topic 10: Financial Mathematics
 Definition of terms used in financial mathematics
 Present and future values
 Annuities and perpetuities
Topic 11: Probability and Probability
 Distributions
 Definition of basic terms used in probability
 Basic concepts of probability
 Laws of probability
 Probability distributions
 Application of basic probability distribution functions
Topic 12: Tests of Hypothesis
 Definition of hypothesis
 Types of hypothesis
 Type I and type II errors
 Critical and acceptance regions
 Ztest and Ttest
Topic 13: Emerging Trends and Issues in Quantitative Techniques
 Emerging trends and issues in quantitative techniques
 Challenges posed by emerging trends and issues in quantitative techniques
 Coping with challenges posed by emerging trends and issues in quantitative techniques
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