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Summary Quantitative Techniques For Business Notes

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This Is The theory notes of all chapters of the quantitative techniques for business text book of 4th semester bcom corporation calicut university kerala

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Module I (Introduction to QT)
Quantitative techniques
Quantitative techniques may be defined as those technique which
provide the decision makers a systematic and powerful means of
analysis, based on quantitative data.
Classification/ Different types / Kinds of quantitative techniques
 Mathematical techniques
 Statistical techniques
 Programming techniques
 Mathematical techniques
A technique in which quantitative data are used along with
mathematical principles are known as mathematical techniques. It
involves
 Permutation and Combination
Permutation means arrangement of object in a definite order.
Combination means selection of objects without considering order.
 Set theory
It is a mathematical theory of well determined collection of objects.
 Matrix
Matrix is a rectangular array of numbers or symbols enclosed by a pair
of brackets.
 Determinants
It is a scalar value that is a function of the entries of a square matrix.
 Differentiation
It is a mathematical process of finding changes in dependent variable
on the basis of changes in independent variable.
 Integration
It is a process of finding changes in independent variable on the basis of
changes in dependent variable.

, Statistical Techniques
Statistical techniques are those techniques which are used in
conducting statistical enquiry.
 Collection of data
By using different methods for collecting primary and secondary data.
 Correlation analysis
It is used to study the degree of relationship among two or more
variables
 Regression analysis
It is used to estimate the value of one variable for a given value of
another.
 Index number
These measure the fluctuations in various phenomena over a period of
time.
 Time series analysis
Analysis of time series help us to know the effect of factors which are
responsible for changes.
 Probability theory
It provides numerical value of the likelihood of the occurrence of
events.
 Programming Techniques
These are operation research techniques used by decision makers in
modern time.
 Linear programming
This is used in finding a solution for optimizing a given objective under
certain constraints.
 Queuing theory
This deals with mathematical study of queues.
 Game theory
It is used to determine the optimum strategy in a competitive situation.
 Decision theory
It involves making sound decision under risk and uncertainty.

,  Inventory theory
It helps for optimizing the inventory levels.
 Network programming
It is a technique of planning, scheduling, controlling and coordinating
large and complex projects comprising of number of activities and
events.
 Simulation
It is a technique of testing a model which resembles a real life situation.
Functions of quantitative techniques
 To facilitates decision making.
 To helps for scientific research
 To help in minimizing cost
 To help in choosing an optimal strategy.
 To enable proper use of resources.
 To helps in optimum resource allocation.
 To enlight reactions of integrated business system.
Uses/ Application/ Advantages of quantitative techniques in business
and industry
 Helpful in inventory management.
 Facilitate decision making.
 Useful in production management.
 Proper allocation of resources.
 Reduction in cost and minimizing waiting time.
 PERT and CPM helps in determining project time.
 It offer solution for various business problems.
 Replacement theory helps the management for economic
replacement.
 Helps in project management by using PERT and CPM.
Scope of quantitative techniques (QT and other disciplines)
 Financing
 Purchasing
 Manufacturing

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