MBA 2yrs Quantitative Techniques in Management e-book. 166 Pages.

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Quantitative Techniques in Management Course Objective: The aim of this course is to develop the understanding of the various Statistical models and Optimization Techniques used for decisions m... aking in the functions of the management of any organization using contemporary computer-based technology Course Contents: Module I: Introduction Application of Statistics in Business & Management; Basic Concepts of Statistical Studies: Population, Variable and Parameter, Sample; Classification of Data; Introduction to SPSS, SAS and other Statistical Software Packages. Diagrammatic & Graphical Presentation of Data: Bar Diagram, Histogram, Pie – Diagram, Frequency Polygons, and Ogives. Module II: Summary Statistics Measures of Central Tendency: Arithmetic Mean, Weighted Mean, Median and Mode Measures of Dispersion: Range, Average Deviation, Standard Deviation, Variance and Coefficient of Variation. Module III: Forecasting Techniques Simple Correlation & Regression Analysis, Time Series Analysis- Trend Analysis, Cyclical Analysis, Seasonal Analysis, Irregular Variation Module IV: Probability & Testing of Hypothesis Introduction of Probability Theories, Concepts, Addition & Multiplication Theorems, Probability Distributions, Sampling & Sampling Distribution, Null Hypothesis & Alternative Hypothesis, t-test, F-test, Non-parametric Tests (χ 2 Test) Module V: Decision Theory Introduction of Decision Theory, Decision Environments, Decision Making under UncertaintyMaximax, Maximin, Minimax, Regret & Laplace Criterion, Decision Making under Risk- EMV & EOL. Module VI: Linear Programming Introduction of Operations Research, Scope and Models in Operations Research, Introduction of Linear Programming, Formulation of LPP, Solution of LPP- Graphical Method & Simplex Procedure, Duality. Introduction of Transportation Problems, Procedure of finding optimal solution, Assignment Problem & its solution. Text & References: Text: • Levin R.I. & Rubin S.R. 2005, Statistics for Management, 7th Ed. Prentice Hall Of India • Taha H. A. 2007, Operations Research: An Introduction, 8th Ed. Prentice Hall of India Quantitative Techniques in Management Contents Chapter-1 Introduction to Statistics 1.1 Statistics Internal Data External Data Secondary Data 1.2 Introduction to SPSS, SAS and other Statistical Software Packages 1.3 Diagrammatic & Graphical Presentation of Data: Bar Diagram, Histogram, Pie – Diagram, Frequency Polygons, and O gives Chapter-2 Summary Statistics 2.1 Central Tendency 2.2 Median 2.3 Mode 2.4 Dispersion Chapter-3 Forecasting Techniques 3.1 Estimation Using the Regression Line 3.2 Scatter Diagram 3.3 Karl Pearson’s Coefficient of Correlation 3.4 Time Series Analysis 3.5 Forecasting Chapter-4 Probability & Testing of Hypothesis 4.1 Introduction 4.2 Classical Probability 4.3 Probability Rules 4.5 Probability Distribution Cumulative Probability Distributions Discrete and Continuous Probability Distributions Discrete Probability Distributions Continuous Probability Distributions Binomial Distribution Binomial Experiment Notation Binomial Distribution Binomial Probability Cumulative Binomial Probability Normal Distribution The Normal Equation The Normal Curve Probability and the Normal Curve Standard Normal Distribution Standard Normal Distribution Table The Normal Distribution as a Model for MeasurementsQuantitative Techniques in Management 4.6 Sampling 4.7 Sampling Distribution 4.8 Chi-Square Distributions 4.9 t-Tests 4.10 F-Tests Chapter-5 Decision Theory 5.1 Decision Environment 5.2 Structure of Decision Making Problem 5.3 Types of Decision Making Criteria 5.4 Expected Monetary Value (EMV) 5.5 Expected Value of Perfect Information 5.6 Expected Opportunity Loss (EOL) Chapter-6 Linear Programming 6.1 Definition of Operations Research and Its Main Features or Characteristics 6.2 Features/Characteristics of OR 6.3 Scope of Operations Research 6.4 Methodology of Operations Research 6.5 Models in Operations Research 6.6 Linear vs Non-linear Programming [Show More]

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