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Lecture 6
Discrete Random Variables: Definition
and Probability Mass Function
Last Time Families of DRVs Cumulative Distribution Function (CDF) Averages Functions of RDVReading Assignment: Sections 2.1-2.7
Probability & Stochastic ProcessesYates & Goodman (2nd Edition) NTUEE SCC_03_20086 - 1
Lecture 6: DRV: CDF, Functions, Exp. Values
Today Discrete Random Variables
Functions of DRV (cont.) Expectation of DRV Variance and Standard Deviation Conditional Probability Mass Function
Continuous Random Variables (CRVs) CDF
Tomorrow Probability Density Functions (PDF) Expected Values
Probability & Stochastic ProcessesYates & Goodman (2nd Edition) NTUEE SCC_03_20086 - 2
Lecture 6:
Next Week Discrete Random Variables
Variance and Standard Deviation
Conditional Probability Mass Function Continuous Random Variables (CRVs)
CDF
Probability Density Functions (PDF)
Expected Values
Families of CRVs
Reading Assignment: Sections 2.8-3.4
Probability & Stochastic ProcessesYates & Goodman (2nd Edition) NTUEE SCC_03_20086- 3
What have you learned?
Probability & Stochastic ProcessesYates & Goodman (2nd Edition) NTUEE SCC_03_2008
Clarifications
Axiom 3
Pascal PMF
Pascal RV.doc
Limit to exponential
Limit to Exponential.doc
6- 4
St. Petersburg Paradox
16 - 5
A paradox presented to the St Petersburg Academy in 1738 by the Swiss mathematician and physicist Daniel Bernoulli (1700–82).
A coin tossed if it falls heads then the player is paid one rouble and the game ends. If it falls tails then it is tossed again, and this time if it falls heads the player is paid two roubles and the game ends. This process continues, with the payoff doubling each time, until heads comes up and the player wins something, and then it ends.
St. Petersburg Paradox: Discussion
16 - 6
Q: How much should a player be willing to pay for the opportunity to play this game? the game's expected value = (½)(1) + (¼)(2) + (⅛)(4) +… = ?
Q: Do you want to play?
Probably not! a high probability of losing everythingFor example, 50 %chance of losing it on the very first tossthe principle of maximizing expected valueBernoulli's introduction of ‘moral worth’(and later utility (1).)
Tank Number Estimation
16 - 26
Tank ExampleTank Example.doc