Shrewd media consumers think about these three statistical pitfalls that can be the difference between a world-changing announcement and misleading hype.
Most Canadians have a higher probability of dying of heart disease than winning something in the McDonald’s Monopoly game.
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McDonald’s Canada has brought back its popular Monopoly game. A statistician explains the odds of winning the top prizes and how that compares to the odds we confront in everyday life.
Lotteries purportedly generate money to support public education. Jackpots are getting bigger and bigger – but states don’t seem to be spending any more on education.
Many pollsters have been asked to explain why they didn’t better predict the 2016 election.
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Galaxy images and patient records can be equally confusing. Now a team of astrophysicists have realised their methods could help medical professionals.
A survey shows that most Puerto Ricans didn’t highly rate the official information coming out of the island. With the Institute of Statistics in trouble, the situation is likely not to improve.
Can we predict who will win the trophy in this year’s World Cup held in Russia?
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We are often presented with surveys that claim to show how we all think on a certain subject. But how many people do you need to ask for that finding to have have any convincing meaning?
If journal editors fail to retract or properly flag data revealed as inaccurate, they leave open the possibility that it’ll be cited for years to come.
Statistics has Guinness to thank for the Student’s t-test.
Flickr/Scott Thompson
Karen Lamb, Deakin University and David Farmer, Florey Institute of Neuroscience and Mental Health
A statistical method widely used today by scientists and others is all thanks to a statistician at a Guinness brewery whose work was published anonymously more than a century ago.
Professor, Future Fellow and Head of Statistics at UNSW, and a Deputy Director of the Australian Centre of Excellence in Mathematical and Statistical Frontiers (ACEMS), UNSW Sydney