AMSI-SSA Public Lecture: From Lotteries to Polls to Monte Carlo
Event Details
- Date:
- Monday, 28 November 2016
- Time:
- 6:00 pm - 7:00 pm
- Room:
- Room 216, Level 2, Prentice Building (#42) UQ, St Lucia
- UQ Location:
- Prentice Building (St Lucia)
- URL:
- http://www.smp.uq.edu.au/amsi-ssa-public-lecture-2016
- Event category(s):
Event Contact
- Name:
- Ms Aarti Kapoor
- Phone:
- 334 60808
- Email:
- a.kapoor@uq.edu.au
- Org. Unit:
- Science
Event Description
- Full Description:
- Join Professor Rosenthal (University of Toronto) as he discusses 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?
You do not need a mathematical background to be able to attend.
Refreshments will be served at the foyer prior to the event, from 5:20pm to 5:45pm.
Register online at tinyurl.com/amsi-ssa-lecture by Monday 21 November to secure your seat.
There is no cost to attend this event.
Our public lectures give the research community and the general public an opportunity to hear top academics in the fields of both pure and applied mathematics speak about their research. This talk is sponsored by the Australia Mathematical Sciences Institute, the Statistical Society of Australia, The University of Queensland, Queensland University of Technology, and the ARC Centre of Excellence for Mathematical and Statistical Frontiers.
Directions to UQ
- Google Map:
-
- Directions:
- St Lucia Campus | Gatton campus.
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