Episode 1: Crime Scene Investigation, forensic science and Bayes' theorem

This week the topic was Bayesian statistics. We interviewed Emma Rixon from Nottingham Trent University about her work as a crime scene investigator and how forensic science uses Bayesian probabilities. Bayesian probability: Introduction to Bayesian Statistics , by computer scientist Kevin Boone. A nice simple introduction to conditional probability , from Maths Is Fun. Math Goodies , introduction and questions on conditional probability. Puzzle: I have a bag containing 47 black marble and 53 white marbles. I draw out two marbles. What’s the probability that the second marble I draw out is white, given that the first marble I draw is black? Solution The bag contains 47 black marbles and 53 white marbles. This means the probability of drawing a black marble first time is 47/100, but then having done so there are 46 black marbles and 53 white marbles. The probability of drawing a white marble the second time is then 53/99, instead of 53/100, which would be the probability of drawing a white marble the first time. Show/Hide

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Episode 1: Crime Scene Investigation, forensic science and Bayes' theorem is an episode from Taking Maths Further Podcast by Peter Rowlett and Katie Steckles.

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This episode was published on Jun 24, 2014.

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