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Quantitative Techniques Calicut University

BBA4C04 – QUANTITATIVE TECHNIQUES FOR BUSINESS
Time: 5 Hours per week Credits: 4
Internal 20: External 80
Objective: To familiarise students with the use of quantitative techniques in
managerial decision-making.
Learning Outcome: On completing the course students will be able to
Understand and develop insights and knowledge base of various concepts of
Quantitative Techniques.
Develop skills for effectively analyzing and apply Quantitative Techniques in
decision making.
Module I : Quantitative Techniques: Introduction – Meaning and Definition –
Classification of QT -QT and other disciplines – Application of QT in business –
Limitations. 05 Hours
Module II: Time Series and Index Number: Meaning and Significance –
Utility, Components of Time Series- Measurement of Trend: Method of Least
Squares, Parabolic Trend and Logarithmic Trend- Index Numbers: Meaning and
Significance, Problems in Construction of Index Numbers, Methods of
Constructing Index Numbers – Weighted and Unweighted, Test of Adequacy of
Index Numbers, Chain Index Numbers.
20Hours
Module III: Correlation and Regression Analysis:Correlation:- Meaning,
significance and types; Methods of Simple correlation – Karl Pearson‟s
coefficient of correlation, Spearman‟s Rank correlation – Regression -Meaning
and significance; Regression vs. Correlation – Linear Regression, Regression lines
(X on Y, Y on X) and Standard error of the estimate.
20 Hours
Module IV : Probability: –Concept of Probability—Meaning and Definition—
Approaches to Probability Theorems of Probability—Addition Theorem—

Multiplication Theorem—Conditional Probability—Inverse Probability—Bayes’
Theorem – Sets Theory: Meaning of Set – Set Operation – Venn Diagrams.
20 Hours
Module V: Theoretical Distribution: Binomial Distribution – Basic
Assumptions and Characteristics – Fitting of Binomial Distribution – Poisson
Distribution – Characteristics – Fitting of Poisson Distribution – Normal
Distribution – Features and Properties – Standard Normal Curve.
15 Hours
(Theory and problems may be in the ratio of 30% and 70% respectively)
Reference Books:
Richard I. Levin and David S. Rubin, Statistics for Management,
Prentice Hall of India, latest edition.
S.P. Gupta, Statistical Methods, Sultan Chand.
Sanchetti and Kapoor, Statistics, Sultan Chand.
G.C.Beri, Statistics For Management, Tata McGraw Hill.
J.K. Sharma, Business Statistics: Pearson.
Anderson Sweeney Williams, Statistics for Business and Economics,
Thomson.
Levine Krebiel&Bevenson, Business Statistics, Pearson edition, Delhi.