by | Unit 1 Introduction to Statistics {Book} | |
| Functions/Scope, Importance, Limitations of Statistics | VIEW |
| Data: Relevance of data in Current scenario | VIEW |
| Types of Date: | VIEW |
| Primary Data: Census vs Samples | VIEW |
| Method of Primary data collection | VIEW |
| Secondary Data: Merits, Limitations, Sources | VIEW |
| Presentation of Data: Classification, frequency distribution, Discrete & continuous | VIEW |
| Data Tabulation | VIEW |
| Graph: | |
| Frequency Table | VIEW |
| Bar Diagram, Histogram | VIEW |
| Pie chart | VIEW |
| Ogives | VIEW |
| Measures of Central Tendency: | |
| Mean (AM, Weighted, Combined) | VIEW |
| Median (Calculation and graphical using ogives) | VIEW |
| Mode (Calculation and Graphical using Histogram) | VIEW |
| Comparative analysis of all measures of central Tendency | VIEW |
| Unit 2 Measures of Dispersion, Co-relation and Linear Regression {Book} | |
| Measures of Dispersion: | |
| Range and co-efficient of Range | VIEW |
| Quartiles, Quartile Deviation and Quartile co-efficient | VIEW |
| Mean deviation with mean, Co-efficient of mean deviation | VIEW |
| Standard deviation with co-efficient of Variance | VIEW |
| Skewness | VIEW |
| Kurtosis | VIEW |
| Co-Relation: | |
| Karl Pearson & Rank co-relation | VIEW |
| Linear Regression: | |
| Least Square Method | VIEW |
| Unit 3 Time Series and Index Number {Book} | |
| Time Series: | |
| Least Square Method | VIEW |
| Moving average Method | VIEW |
| Determination of Season | VIEW |
| Index Number: | VIEW |
| Unweighted, Weighted Aggregate Method: Simple, Weighted average of Price Relatives | VIEW |
| Chain based index Numbers | VIEW |
| Base Shifting, Splicing and Deflating | VIEW |
| Cost of Living Index Number | VIEW |
| Unit 4 Probability and Decision Theory {Book} | |
| Probability | VIEW |
| Types | VIEW |
| Concept of Sample space, Event | VIEW |
| Addition and Multiplication laws of Probability | VIEW |
| Conditional Probability | VIEW |
| Baye’s Theorem | VIEW |
| Expectation & Variance | VIEW |
| Concept of Probability distribution | VIEW |
| Decision Theory: Acts, State of Nature event | VIEW |
| Pay offs, opportunity loss | VIEW |
| Decision making under certainty, uncertainty, Risk | VIEW |
| Non-Probability: | |
| Maximax, Maximin, Minimax, Regret, Laplace & Hurwicz | VIEW |
| Probabilistic (Decision making under risk): EMV, EOL, EVPI | VIEW |
| Decision Tree | VIEW |
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