Quantitative MethodsClass of : 2013 Academic Year : FirstCourse Code : SL RM 501 Semester :ICredit : 3 Sessions : 30ObjectiveTo equip students with the essential concepts, tools and techniques necessary for robust managerial decision making. REFERENCE BOOKS AUTHOR / PUBLICATION th Statistics for Management 7 e Levin, Richard I./ Rubin, David S. Prentice- Hall - New Delhi Quantitative Methods IUP Quantitative Techniques for Management Srivastava, U K et al. New Age International Decisions 2nd e Pub - 2003 Quantitative Methods for Business 9th e Anderson, David R et al. South-Western Educational Publishing – 2003 Business Statistics 4th e Levine, David M et al. Pearson Education. Delhi Quantitative Analysis for Management 10th e Barry, Render et al. Prentice Hall of IndiaDetailed Syllabus Type II Errors, One Tailed and Two Tailed Tests, One Sample Tests, Hypothesis Testing of MeansBasic concepts of scales of measurement-Nominal,ordinal, interval, and ratio scales. Review of central when Population Standard Derivation is Known andtendencies dispersion. when Unknown, Hypothesis Testing of Proportions for Large Samples. Two Sample Tests for Equality ofProbability and Probability Distributions: Basic Means for Large and Small Samples, Equality ofConcepts of Probability: Addition theorem, Means for Dependant Samples, Difference betweenMultiplication theorem, Bayes’ theorem, Random Proportions for Large Samples.Variables, Expected Value, Binomial, Poisson andNormal Distributions Chi-Square: Chi Square Test of Independence. and Goodness of fit. .Sampling and Sampling Distributions: Populationand Samples, Parameters and Statistics, Types of Analysis of Variance (One Way Anova): Test forSampling: Simple Random, Stratified, Systematic Equality of Means. Inference about a populationand Cluster Sampling, Sampling Distributions, variance and about two population variances.Standard Errors, Sampling from Normal and Non- Bivariate analysis: Bivariate correlation andnormal Populations, Central Limit Theorem, Finite regression, Coefficient of determination, assumptionsPopulation Multiplier in the regression model, tests of significance for theEstimation: Point and Interval Estimation, Estimator correlation and regression coefficients.and Estimates, Confidence Intervals, IntervalEstimates of Mean and Proportion from Large Time Series Analysis: Components of Time Series,Samples, Interval Estimation Using t Distribution, Trend Analysis- Moving Average, Fitting linear andSample Size for Estimating Means and Proportions second degree trends, Seasonal Variation (Computing using Ratio to Trend Method), Cyclical Variation.Testing of Hypotheses: Basic Concepts, Type I and Irregular Variation, Problems Involving All Four
Components of Time Series.Decision Trees: Decision Tree Analysis-Expectedvalue under risk, under perfect information, andunder sample information.Linear Programming, Transportation andAssignment problems: Formulating LinearProgramming Problems, Graphical approach,Formulation of Transportation and Assignmentproblems, Solutions using Excel solver and othersoftwares.Cases ICICI Bank’s “Get up to 100% Cash Back offer” Real Foods Solnyx Pharmaceuticals: The Atoxeril Clinical Trial Care Hygiene Hindustan Foods Roja Silks Ram Publishers Alexander Machine Company Best Fibre Lakshmi Engines(Source: Case Studies in ManagementVolume VI)ExercisesStudents will be given exercises to be solved usingSPSS/EXCEL Software.
Suggested Schedule of Sessions No. ofTopic SessionsScales of Measurement, Review of 2central tendencies dispersion.Probability and Probability Distributions 4(including case discussion)Sampling and Sampling Distribution 3(including case discussion)Estimation 2Testing hypothesis (including case 4discussion)Chi- Square (including case discussion) 2Analysis of Variance 2Bivariate Correlation and Regression 2(including case discussion)Time Series Analysis 3Decision Trees (including case 2discussion)Linear Programming, Transportation and 4Assignment Problems (including casediscussion)Total 30