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Business Statistics
9th April 2020
By
indiafreenotes
Unit 1 Introduction to Statistics {Book}
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Functions/Scope, Importance, Limitations of Statistics
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Data: Relevance of data in Current scenario
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Types of Date:
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Primary Data: Census vs Samples
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Method of Primary data collection
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Secondary Data: Merits, Limitations, Sources
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Presentation of Data: Classification, frequency distribution, Discrete & continuous
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Data Tabulation
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Graph:
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Frequency Table
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Bar Diagram, Histogram
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Pie chart
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Ogives
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Measures of Central Tendency:
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Mean (AM, Weighted, Combined)
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Median (Calculation and graphical using ogives)
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Mode (Calculation and Graphical using Histogram)
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Comparative analysis of all measures of central Tendency
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Unit 2 Measures of Dispersion, Co-relation and Linear Regression {Book}
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Measures of Dispersion:
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Range and co-efficient of Range
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Quartiles, Quartile Deviation and Quartile co-efficient
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Mean deviation with mean, Co-efficient of mean deviation
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Standard deviation with co-efficient of Variance
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Skewness
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Kurtosis
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Co-Relation:
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Karl Pearson & Rank co-relation
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Linear Regression:
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Least Square Method
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Unit 3 Time Series and Index Number {Book}
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Time Series:
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Least Square Method
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Moving average Method
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Determination of Season
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Index Number:
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Unweighted, Weighted Aggregate Method: Simple, Weighted average of Price Relatives
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Chain based index Numbers
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Base Shifting, Splicing and Deflating
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Cost of Living Index Number
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Unit 4 Probability and Decision Theory {Book}
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Probability
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Types
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Concept of Sample space, Event
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Addition and Multiplication laws of Probability
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Conditional Probability
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Baye’s Theorem
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Expectation & Variance
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Concept of Probability distribution
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Decision Theory: Acts, State of Nature event
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Pay offs, opportunity loss
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Decision making under certainty, uncertainty, Risk
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Non-Probability:
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Maximax, Maximin, Minimax, Regret, Laplace & Hurwicz
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Probabilistic (Decision making under risk): EMV, EOL, EVPI
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Decision Tree
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