Aim of the Course: This course aims at the acquisition of the basic statistical skills
expected of a student of business management, which could help in understanding,
analysing and forecasting.
Objectives of the Course:
To understand basic statistical terms and techniques
To develop the skills in selecting appropriate methods of data collection,
editing, analysing and reaching at conclusions
To find out the different statistical variables and their interrelationship
Meaning, scope and limitations of statistics, collection and editing of data, sampling
techniques, Diagrammatic and graphic representation of data
Measures of Central Tendency
Meaning and characteristics of a good average, Mean, median, mode (limited to
simple cases only), GM and HM – Computation, merits and demerits
Measures of Dispersion
Meaning and characteristics of a good measure of dispersion, Computation of range,
QD, MD (about mean only), SD and their coefficients, Coefficient of variation
Meaning, definition and types of correlation, Computation of coefficient of correlation
by Karl Pearson’s and Rank methods (limited to raw data only)
Meaning of regression, Computation of regression coefficients and regression
equations (limited to raw data only, properties of regression coefficients excluded)
Note: Statistical tables and NPC are permitted, Theorems and proofs are excluded.
S.P. Gupta, Statistical Methods, Sultan Chand & Co.
S.C. Gupta & V.K. Kapoor, Fundamentals of Mathematical Statistics, S.
Chand & Co.
B.L. Agarwal, Basic Statistics, New Age International
R. K. Ghosh, S. Saha, Business Mathematics & Statistics, New Central Book