MBA-202 QUANTITATIVE TECNIQUES
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JNU university mba MBA-202 QUANTITATIVE TECNIQUES SOLVED PAPERS AND GUESS
Product Details: JNU university MBA-202 QUANTITATIVE TECNIQUES SOLVED PAPERS AND GUESS
Pub. Date: NEW EDITION APPLICABLE FOR Current EXAM
Publisher: MEHTA SOLUTIONS
Edition Description: 2021-22
RATING OF BOOK: EXCELLENT
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If you find yourself getting fed up and frustrated with other JNU university book solutions now mehta solutions brings top solutions for JAIPUR National university mba MBA-202 QUANTITATIVE TECNIQUES SOLVED PAPERS AND GUESS book contains previous year solved papers plus faculty important questions and answers specially for JNU University .questions and answers are specially design specially for JNU University students .
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FULLY SOLVED BOOK LASY 5 YEARS PAPERS SOLVED PLUS GUESS
QUANTITATIVE TECNIQUES1. Quantitative Techniques – Introduction, Concept Model Building for Business
Decisions, Role and Scope, Need, Matrix Algebra determination, Linear Programming
–Assumptions – Formulation of Linear Programming Problems – Solutions – Graphic
Method – Simplex Method, Two Phase method, Elementary ideas about Duality.
2. Statistical Decision Theory – Meaning and Scope, Elements of statistics Probability,
Probability Distribution, Decision Framework – Decision Under Uncertainty – Expected
Monetary – Expected Opportunity Loss -Expected Value of Perfect Information – Uses of
Incremental Analysis, Correlation and Regression, Derivatives, Rules of Differentiation, The
Chain rule, Second order Derivative, Theory of Extreme
3. Decision Theory, Decisions under Uncertainty – Pay – Off Matrix, Criterion of
Maximum, Min., Maxmin, Minmax, Maxi Max Criterion, Hurwicz Criterion, Decision
Making under risk Bayesian approach, Decision Tress- Applications, Game theory – Types
of Games., Two person zero sum games, Mix Strategy, Decision Tree.
4. Assignment Problems – A Variant of the Transportation Problem, Complete
Enumeration Method, Transportation Method, Simplex Method, Hungarian assignment
Method(Ham) – Unbalanced Assignment Problems – Constrained assignment problems,
Unique Versus Multiple Optimal Solutions, Maximization Case, Dual of the Assignment
Problem
5. Demand Forecasting – Purpose of Forecasting Demand, Steps involved in Forecasting,
Extrapolation Techniques of Demand Forecasting, Time Series, Seasonal Indices, Method of
Simple Average, Ratio, To Trend Method, Moving average Method, Method of Link
Relatives.
6.Expected Value with Perfect Information (EVPI), Use of Subjective Probabilities in
Decision- making, Use of Posterior Probabilities in Decision-making.
7.Theorems on Expectation, Joint Probability Distribution, Marginal Probability
Distribution, Conditional Probability Distribution Expectation of the Sum or Product of two
Random Variables, Expectation of a Function of Random Variables
8. Decision Analysis under Certainty, Decision-making under Uncertainty, Decision-making
under Risk.
9. Inventory model, Need of Inventory Control, Advantages of Material Controls, Essential
Factors of Material Control ABC Analysis Technique, Process of Inventory Control,
Minimum Stock Level, Maximum Stock Level, Ordering Level or Re-order Level, Average
Stock level, Danger Level.
10. Simulation, Advantages and Disadvantages of Simulation, Monte Carlo Simulation,
Simulation of Demand Forecasting Problem, Simulation of Queuing Problems, Simulation of
Inventory Problems.
11. Production Decision, The Production Function, Production Function: One Variable
Input Case: Short-Run Analysis, Law of Variable Proportion of Diminishing Marginal
Returns, The Three Stages
of Production, Optimal Use of the Variable Input, The Production Function with two Variable
Inputs: Long-Run Production Function.
12. Perfect Competition, Monopoly & Monopolistic Competition, Meaning of Perfect
Competition, Features of Perfect Competition, Large Numbers of Sellers and Buyers, Product
Homogeneity.
13.Profit Analysis, Meaning & Nature of Profit, Gross Profit and Net Profit, Normal Profit
and Supernormal Profit, Accounting Profit and Economic Profit, Theories of Profit, Risk and
Uncertainty Theory of Profits, Profit as a Reward for Market Imperfection and Friction in
Economy, Innovation Theory of Profits Profit Planning & Forecasting.
14. Investment Analysis, Meaning and Significance of Capital Budgeting, Techniques or
Methods of Investment Evaluation, The Payback Period Method, The Average Rate of
Return on Investment, The Net Present Value (NPV) Method, The Internal Rate of Return
(IRR) Criterion, The Profitability Index Criterion, Public Investment Decisions.
15. National Income, Definition of National Product, Income and Expenditure, Measures of
aggregate income, Gross and Net Concept, National and Domestic Concepts, Market Prices
and Factor Costs, Gross National Product and Gross Domestic Product, GNP as a Sum of
Expenditures on Final Products, GNP as the total of Factor Incomes, Net National Product,
NNP at Factor Cost (or Nation al Income), Personal Income, Disposable Income.
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