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QUANTITATIVE TECHNIQUES FOR BUSINESS 2020-2023

Updated 31 Jan 2022
Lessons 6
Enrolled 40
Language English ‎(en)‎
Skill Level Beginner

Course Overview

Objectives:

 To familiarize student with the use quantitative techniques in managerial decision

making.

Module I

Quantitative Techniques - Introduction - Meaning and definition - Classification of Q.T -

QT and other disciplines - Application of QT in business - Limitations.

Module II

Correlation and Regression Analysis: Meaning and definition of Correlation - Karl Pearson's

co-efficient of correlation - Rank correlation - Regression - Types - Determination of simple

linear regression - Coefficient of determination.

Module III

Set Theory - Venn Diagrams - Probability: Concept of probability - Meaning and definition -

Approaches to probability - Theorems of probability - Addition Theorem - Multiplication

Theorem -Conditional probability- Inverse probability- Baye'sTheorem. 

Module IV

Theoretical Distribution: Basic assumptions and characteristics - Probability distribution -

Fitting of probability distribution - Binomial distribution - Fitting of binomial distribution -

Poisson distribution - Fitting of Poisson distribution - Normal distribution - Features and

properties - Standard normal curve. 

Module V

Quantitative approach to decision making- Types and steps in decision making-Decision

tree analysis-Different types of models-Model building steps - Linear programmingconcepts

- Mathematical formulation - Solution of LPP using graphic method

Course Content

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Enrolment options

Objectives:

 To familiarize student with the use quantitative techniques in managerial decision

making.

Module I

Quantitative Techniques - Introduction - Meaning and definition - Classification of Q.T -

QT and other disciplines - Application of QT in business - Limitations.

Module II

Correlation and Regression Analysis: Meaning and definition of Correlation - Karl Pearson's

co-efficient of correlation - Rank correlation - Regression - Types - Determination of simple

linear regression - Coefficient of determination.

Module III

Set Theory - Venn Diagrams - Probability: Concept of probability - Meaning and definition -

Approaches to probability - Theorems of probability - Addition Theorem - Multiplication

Theorem -Conditional probability- Inverse probability- Baye'sTheorem. 

Module IV

Theoretical Distribution: Basic assumptions and characteristics - Probability distribution -

Fitting of probability distribution - Binomial distribution - Fitting of binomial distribution -

Poisson distribution - Fitting of Poisson distribution - Normal distribution - Features and

properties - Standard normal curve. 

Module V

Quantitative approach to decision making- Types and steps in decision making-Decision

tree analysis-Different types of models-Model building steps - Linear programmingconcepts

- Mathematical formulation - Solution of LPP using graphic method

Skill Level: Beginner
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