BUSINESS STATISTICS PAPER - I
COURSE LAYOUT (SYLLABUS)
D. R. K. College of Commerce, Kolhapur (Autonomous)
Syllabus of B. Com. – II (SEM – III)
(To be introduced from June, 2023)
BUSINESS STATISTICS (PAPER-I)
Unit 1: Introduction to Statistics
Introduction to Statistics: Meaning, scope of statistics in business, primary and secondary data, discrete and continuous variables, classification and its basis, tabulation, frequency and frequency distribution. Diagrammatic and Graphical Representation: pie-chart, simple bar diagram, histogram, ogive curves, numerical problems. Sampling: definitions of population, sample, sampling, and census, principle steps in sample survey, advantages of sampling over census, methods of sampling: simple random sampling (with and without replacement), stratified random sampling.
Unit 2: Measures of Central Tendency
Concept of central tendency, requirements of a good average, Arithmetic Mean (A. M.): definition, properties of A. M. (without proof), combined A.M., Weighted A.M., merits and demerits, numerical problems, Median and Quartiles: definitions, merits and demerits of median, numerical problems, Mode: definition, merits and demerits, numerical problems, empirical relation among mean, median, and mode, numerical problems.
Unit 3: Measures of Dispersion
Concept of dispersion, requirements of a good measure of dispersion, absolute and relative measures of dispersion, Range, coefficient of range, merits and demerits of range, Quartile Deviation (Q.D.), coefficient of Q.D., merits and demerits of Q.D., Standard Deviation (S.D), coefficient of S.D., Coefficient of Variation (C.V.), Variance, merits and demerits of S.D., numerical problems on range, Q. D., S. D. and their relative measures along with variance and C.V.
Unit-4: Analysis of Bivariate Data: Correlation and Regression
Correlation: Concept and types of correlation, Methods of studying correlation: Scatter plot, Karl Pearson’s correlation coefficient (r), interpretation of r (with special cases r = −1, 0, and 1), Spearman’s Rank correlation coefficient (R), numerical problems on computation of r and R (with and without ties) for ungrouped data. Regression: Concept, lines of regression, regression coefficients, properties of regression coefficients (without proof), relation between correlation coefficients and regression coefficient, numerical problems on ungrouped data.
REFERENCES
1. Gupta S. C. (2017) Fundamentals of Statistics, Himalaya Publishing House Pvt. Ltd.
2. Gupta S. P. (2018) Statistical Methods, Sultan Chand and Sons.
3. Gupta C. B. and Gupta Vijay (2004) An Introduction to Statistical Methods, Vikas Publishing House Pvt Limited.
4. Desai S. S. (2006) Business Statistics, Jay-Gauri.
5. Agrawal B. M. (2014) Essentials of Business Statistics, Ane Books Pvt. Ltd.
Additional References:
Note: Simple/non-programmable calculator is allowed to perform numerical calculations.
INSTRUCTIONS TO STUDENTS
The course content in the form of pdf files, PowerPoint slides, and video lectures. Students are requested to browse the content of the syllabus weekly from the following google site.
Link : https://sites.google.com/view/bcomiisemiii23-24bspaper1/home
After thoroughly studying each sub-point / content of the unit, students are requested to appear and solve online quiz assignments using the link provided at the end of the week.
