Syllabus
|
Course Code: MC 206 Course Name: Business Statistics |
||
| MODULE NO / UNIT | COURSE SYLLABUS CONTENTS OF MODULE | NOTES |
|---|---|---|
| 1 | Multiple regression and correlation: Linear regression equation, Regression equation in terms of simple correlation; coefficients; Reliability of the estimate; Multiple Correlation; Partial Correlation. Index Numbers: Meaning, types and uses; Methods of constructing price and quality indices( simple and aggregate); Test of adequacy; Chain base index numbers; Base shifting, splicing and deflating; Problems in constructing index numbers; Consumer price index. Time Series Analysis: Components of a time series, Models of time series analysis- additive and multiplicative; Methods of constructing seasonal index; Adjusting time series data for seasonal variations, Estimation of seasonal variations. Theory of Probability: Probability as a concept; approaches to defining probability; addition and multiplication laws of probability; Conditional probability; Bayes Theorem. Probability distributions: Probability distribution as a concept; Binomial, Poisson, and Normal distributions- their properties and parameters. |
|
