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| Quantitative Techniques in Management |
Unit 1: Differentiation, Law of
Derivatives, Repeated Derivatives, Partial Differentiation, Maxima &
Minima-single variable and multi variable functions.
Unit 2: Linear Dependence and
Independence of Vector, Determinants, Matrices, inverse of matrix, system of
linear equation and their solution- using matrix inverse method.
Unit 3: Measures of Central Tendency
and Measures of Dispersion; Probability-types, addition and multiplication,
Bayes’ Theorem; Discrete and Continuous Probability Distribution- Binomial,
Poisson and Normal Distribution.
Unit 4: Concept of Sampling
Distributions; Type I & Type II errors, Chi-square test, Hypothesis testing-
Single and Two Population, Z test, t test.
Unit 5: Correlation and simple linear
regression, Rank Correlation, Time series analysis.
Unit 6: Decision Theory; Decision under
uncertainty and risk, Decision Criteria; Bayesian Analysis: Posterior Analysis;
Decision Tree; Markov Chains.
