Sr. No. |
Modules / Units |
1 |
Introduction to Statistics |
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- Introduction: Functions/Scope, Importance, Limitations
- Data: Relevance of Data(Current Scenario), Type of data(Primary & Secondary), Primary(Census vs Samples, Method of Collection (In Brief), Secondary(Merits, Limitations, Sources) (In Brief)
- Presentation Of Data:Classification – Frequency Distribution – Discrete & Continuous, Tabulation, Graph(Frequency, Bar Diagram, Pie Chart, Histogram, Ogives)
- Measures Of Central Tendency:Mean(A.M, Weighted, Combined), Median(Calculation and graphical using Ogives), Mode(Calculation and Graphical using Histogram), Comparative analysis of all measures of Central Tendency
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2 |
Measures of Dispersion, Co-Relation and Linear Regression |
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- Measures Of Dispersion: Range with C.R(Co-Efficient Of Range), Quartiles & Quartile deviation with CQ (Co-Efficient Of Quartile), Mean Deviation from mean with CMD (Co-Efficient Of Mean Deviation), Standard deviation with CV(Co-Efficient Of Variance), Skewness& Kurtosis (Only concept)
- Co-Relation: Karl Pearson, Rank Co-Relation
- Linear Regression: Least Square Method
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3 |
Time Series and Index Number |
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- Time Series: Least Square Method, Moving Average Method, Determination of Season
- Index Number: Simple(unweighted) Aggregate Method, Weighted Aggregate Method, Simple Average of Price Relatives, Weighted Average of Price Relatives, Chain Base Index Numbers, Base Shifting, Splicing and Deflating, Cost of Living Index Number
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4 |
Probability and Decision Theory |
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- Probability: Concept of Sample space, Concept of Event, Definition of Probability, Addition & Multiplication laws of Probability, Conditional Probability, Bayes’ Theorem(Concept only), Expectation & Variance, Concept of Probability Distribution(Only Concept)
- Decision Theory: Acts, State of Nature Events, Pay offs, Opportunity loss, Decision Making under Certainty, Decision Making under Uncertainty,
- Non-Probability: Maximax, Maximin, Minimax, Regret, Laplace &Hurwicz)
- Probabilitistics (Decision Making under risk):EMV, EOL, EVPI
- Decision Tree
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