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M-108: BUSINESS STATISTICS AND ANALYTICS FOR DECISION MAKING
SECTION-A
Unit
| Course Description | Sessions |
I | Matrices and Determinants: Definition of a Matrix, Types of Matrices, Algebra of Matrices, Transpose, Adjoint, Inverse of a Matrix. | 2 |
II | Business Applications using Matrices: Solving Linear Equations by Using Matrices, Input-Output Analysis. Application of Matrices for Solution to Simple Business and Economic Problems. | 3 |
III | Descriptive Statistics: Measures of Central Tendency and Dispersion and their Implications, Mean, Mode, Median, Variance and Standard Deviation and Coefficient of Variation, Z Score, Exploratory Data Analysis, Box and Whisker Plot | 3 |
IV | Correlation: Covariance and Coefficient of Correlation. Visual Explorations Using Software Like Microsoft Excel/MINITAB etc. | 3 |
V | Regression: Types of Regression Models, Determination of Simple Linear Regression Equation Using Least Square Method, Coefficient of Determination, Overview of Partial and Multiple Regressions. | 3 |
VI | Index Numbers: Meaning, Types of Index Numbers, Uses of Index Numbers, Construction of Price, Quantity and Volume Indices: Fixed Base and Chain Base Methods. Fisher Ideal Index Number. Ratio and Proportion. | 3 |
VII | Probability: Basic Probability Concepts, Conditional Probability, Marginal Probability, and its Uses in Business Decision Making; Bayes’ Theorem and its Applications. Probability Distributions: Concept and Application of Binomial, Poisson, Exponential and Normal Distributions | 4 |
VIII | Investment Analysis: Interest: Simple, Compound, Nominal and Effective Rate of Interest. Time Value of Money, Discounting. Annuity, Amortization and Sinking Funds. Breakeven Analysis. | 3 |
SECTION B
Note: 50% of the Questions will be Numerical & Cases/Inferences based.
Eng / INR
