KMB104 BUSINESS STATISTICS AND ANALYSIS
| UNIT 1 Descriptive Statistics | ||
| 1 | Meaning, Scope, functions and Limitations of Statistics | VIEW |
| 2 | Measures of Central Tendency: Mean, Median, Mode | VIEW |
| 3 | Quartiles | VIEW |
| 4 | Measures of Dispersion: Range, Inter Quartile Range | VIEW |
| 5 | Mean Deviation, Standard Deviation | VIEW |
| 6 | Variance, Coefficient of Variance | VIEW |
| 7 | Skewness | VIEW |
| 8 | Kurtosis | VIEW |
| UNIT 2 Time Series and Index Number | ||
| 1 | Time Series Analysis: Concept, Additive and Multiplicative Models | VIEW |
| 2 | Components of Time Series | VIEW |
| Trend Analysis: | ||
| 3 | Least Square Method: Linear and Non- Linear equations | VIEW |
| 4 | Applications in business Decision Making | VIEW |
| 5 | Index Numbers: Meaning, Types of index numbers, uses of index numbers | VIEW |
| 6 | Construction of Price, Quantity and Volume indices | VIEW |
| 7 | Chain Base Methods | VIEW |
| UNIT 3 Correlation & Regression Analysis | ||
| 1 | Correlation Analysis: Rank Method & Karl Pearson’s Coefficient of Correlation | VIEW |
| 2 | Properties of Correlation | VIEW |
| 3 | Regression Analysis: Fitting of a Regression Line and Interpretation of Results | VIEW |
| 4 | Properties of Regression Coefficients | VIEW |
| 5 | Relationship between Regression and Correlation | VIEW |
| UNIT 4 Probability Theory & Distribution | ||
| 1 | Probability: Theory of Probability | VIEW |
| 2 | Addition and Multiplication Laws | VIEW |
| 3 | Baye’s Theorem | VIEW |
| 4 | Probability Theoretical Distributions: Concept | VIEW |
| 5 | Application of Binomial; Poisson and Normal distributions | VIEW |
| UNIT 5 Decision Making Environments | ||
| 1 | Decision Making under Certainty, Uncertainty and Risk Situations | VIEW |
| 2 | Decision Tree approach and its Applications | VIEW |
| 3 | Concept of Business Analytics: Meaning, Types | VIEW |
| 4 | Application of Business Analytics | VIEW |
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