This document provides an overview of a quantitative methods course, including its objectives, reference materials, syllabus, and suggested schedule. The course aims to equip students with concepts, tools, and techniques for managerial decision making. Key topics covered include probability, sampling, estimation, hypothesis testing, analysis of variance, correlation, regression, time series analysis, decision trees, and linear programming. The syllabus outlines these topics in detail and includes case studies to supplement the theoretical concepts. The course is worth 3 credits and will meet for 30 sessions over one semester.

1. Quantitative Methods
Class of : 2013 Academic Year : First
Course Code : SL RM 501 Semester :I
Credit : 3 Sessions : 30
Objective
To 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 India
Detailed Syllabus Type II Errors, One Tailed and Two Tailed Tests,
One Sample Tests, Hypothesis Testing of Means
Basic concepts of scales of measurement-Nominal,
ordinal, interval, and ratio scales. Review of central when Population Standard Derivation is Known and
tendencies dispersion. when Unknown, Hypothesis Testing of Proportions
for Large Samples. Two Sample Tests for Equality of
Probability and Probability Distributions: Basic
Means for Large and Small Samples, Equality of
Concepts of Probability: Addition theorem,
Means for Dependant Samples, Difference between
Multiplication theorem, Bayes’ theorem, Random
Proportions for Large Samples.
Variables, Expected Value, Binomial, Poisson and
Normal Distributions Chi-Square: Chi Square Test of Independence. and
Goodness of fit. .
Sampling and Sampling Distributions: Population
and Samples, Parameters and Statistics, Types of Analysis of Variance (One Way Anova): Test for
Sampling: Simple Random, Stratified, Systematic Equality of Means. Inference about a population
and Cluster Sampling, Sampling Distributions, variance and about two population variances.
Standard Errors, Sampling from Normal and Non-
Bivariate analysis: Bivariate correlation and
normal Populations, Central Limit Theorem, Finite
regression, Coefficient of determination, assumptions
Population Multiplier
in the regression model, tests of significance for the
Estimation: Point and Interval Estimation, Estimator correlation and regression coefficients.
and Estimates, Confidence Intervals, Interval
Estimates 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 and
Sample 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

2. Components of Time Series.
Decision Trees: Decision Tree Analysis-Expected
value under risk, under perfect information, and
under sample information.
Linear Programming, Transportation and
Assignment problems: Formulating Linear
Programming Problems, Graphical approach,
Formulation of Transportation and Assignment
problems, Solutions using Excel solver and other
softwares.
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 Management
Volume VI)
Exercises
Students will be given exercises to be solved using
SPSS/EXCEL Software.

3. Suggested Schedule of Sessions
No. of
Topic
Sessions
Scales of Measurement, Review of 2
central tendencies dispersion.
Probability and Probability Distributions 4
(including case discussion)
Sampling and Sampling Distribution 3
(including case discussion)
Estimation 2
Testing hypothesis (including case 4
discussion)
Chi- Square (including case discussion) 2
Analysis of Variance 2
Bivariate Correlation and Regression 2
(including case discussion)
Time Series Analysis 3
Decision Trees (including case 2
discussion)
Linear Programming, Transportation and 4
Assignment Problems (including case
discussion)
Total 30