Venue: Carrillo Gantner Theatre, Sidney Myer Asia Centre
Presenters: Professor Jeffrey Rosenthal
Jeffrey Rosenthal Public Lecture
This talk will discuss randomness and probability, to answer such questions as:
Just how unlikely is it to win a lottery jackpot?
If you flip 100 coins, how close will the number of heads be to 50?
How many dying patients must be saved to demonstrate that a new medical drug is effective?
Why do strange coincidences occur so often?
If a poll samples 1,000 people, how accurate are the results?
How did statistics help to expose the Ontario Lottery Retailer Scandal?
If two babies die in the same family without apparent cause, should the parents be convicted of murder?
Why do casinos always make money, even though gamblers sometimes win and sometimes lose?
And how is all of this related to Monte Carlo Algorithms, an extremely popular and effective method for scientific computing? No mathematical background is required to attend.
Professor Jeffrey Rosenthal is a professor in the Department of Statistics at the University of Toronto.
from
https://events.unimelb.edu.au/events/7767-from-lotteries-to-polls-to-monte-carlo
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