Lecture6a_SummaryIntrotoProb

Lecture6a_SummaryIntrotoProb - Lecture 1 Model and Relative...

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1 Lecture 1 Model and Relative Frequency Models Calculation Mathematical solution Practical Problem Engineer Solution Relative Frequency Axiomatic Approach Limit Issues
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Lecture 2: Axiomatic Approach Elec210 Lecture 2 2 Probability Models Set Operations Six Corollaries Three Axioms Specifying Random Experiments Sample Space & Events Practical Problem Axiomatic approach Probability Assignment
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Lecture 3: Probability Assignment using Counting Methods Sample Space & Events Probability Assignment Probabilities for Events Equiprobable Counting Methods Size of event A Size of S Y N Other Tools Conditional, Independence, Sequential
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Lecture 4: Conditional probability Sample space can change! Conditional Probability Properties for Conditional Probability Functions of Conditional Probability Computation of other probabilities Joint probability Total probability Bayes Rule Independence
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Lecture 5: Sequential Experiments Bernoulli trials () ( ) k n k n p p k n k p = 1 {success, failure} Binomial probability law Multinomial probability law Geometric probability law
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This note was uploaded on 03/27/2011 for the course ELEC 202 taught by Professor ? during the Spring '11 term at HKUST.

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Lecture6a_SummaryIntrotoProb - Lecture 1 Model and Relative...

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