107: QUANTITATIVE TEACHNIQUES FOR MANAGEMENT
Objective: to make the students familiar with the statistical and mathematical techniques and their
applications in business decision making.
Unit-I:Fun ctions,Linear,Quadratic, Logarithmic and Exponential Functions- Permutations and
Combinations – Matrices - Solving System of Equations with Matrix Methods – Differentiation and
Integration of Simple Functions and their Applications.
Unit – II: Measures of Central Tendency – Measures of Dispersion –Simple Correlation and
Regression Analysis – Concept and Applications of Multiple Regressions.
Unit –III: Concept of Probability- Probability Rules – Joint and Marginal Probability – Baye’s
Theorem- Probability Distributions- Binomial, Poisson, Normal and Exponential Probability
Distributions.
Unit-IV: Sampling and Sampling Distributions – Estimation – Point and Interval Estimates of
Averages and proportions of small and Large Samples –Concepts of Testing Hypothesis –One
Sample Test for Testing Mean and Proportion of Large and Small Samples.
Unit – V: Tests Two Samples –Tests of Difference between Mean and Proportions of Small and
Large Samples – Chi-square Test of Independence and Goodness of Fitness- Analysis of Variance.
Suggested Books: K.V.Sivayya and K.Satya Rao Business Mathematics
Anderson, Quantitative Methods for Business, Cengage, ND
Nagar, Das – Busic Statistics, Oxford University press
CR Kothari, Quantative Techniques, Vikas, ND
Shenoy, Sarma and Srivatsava, Quantitative Techniques for Management, New Age,ND
N.D.Kothari, Quantitative Techniques, in Management, Tata McGraw Hill, 2001.
S.P.Gupta Statistical Methods for Management
Anand Sharma, Quantitative Techniques for Decision Making, Himalaya, Mumbai
Objective: to make the students familiar with the statistical and mathematical techniques and their
applications in business decision making.
Unit-I:Fun ctions,Linear,Quadratic, Logarithmic and Exponential Functions- Permutations and
Combinations – Matrices - Solving System of Equations with Matrix Methods – Differentiation and
Integration of Simple Functions and their Applications.
Unit – II: Measures of Central Tendency – Measures of Dispersion –Simple Correlation and
Regression Analysis – Concept and Applications of Multiple Regressions.
Unit –III: Concept of Probability- Probability Rules – Joint and Marginal Probability – Baye’s
Theorem- Probability Distributions- Binomial, Poisson, Normal and Exponential Probability
Distributions.
Unit-IV: Sampling and Sampling Distributions – Estimation – Point and Interval Estimates of
Averages and proportions of small and Large Samples –Concepts of Testing Hypothesis –One
Sample Test for Testing Mean and Proportion of Large and Small Samples.
Unit – V: Tests Two Samples –Tests of Difference between Mean and Proportions of Small and
Large Samples – Chi-square Test of Independence and Goodness of Fitness- Analysis of Variance.
Suggested Books: K.V.Sivayya and K.Satya Rao Business Mathematics
Anderson, Quantitative Methods for Business, Cengage, ND
Nagar, Das – Busic Statistics, Oxford University press
CR Kothari, Quantative Techniques, Vikas, ND
Shenoy, Sarma and Srivatsava, Quantitative Techniques for Management, New Age,ND
N.D.Kothari, Quantitative Techniques, in Management, Tata McGraw Hill, 2001.
S.P.Gupta Statistical Methods for Management
Anand Sharma, Quantitative Techniques for Decision Making, Himalaya, Mumbai
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