Lecture 16: Using Randomness to Solve Non-random Problems
recorded by: Massachusetts Institute of Technology, MIT
published: Oct. 29, 2012, recorded: March 2011, views: 2403
released under terms of: Creative Commons Attribution Non-Commercial Share Alike (CC-BY-NC-SA)
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This lecture starts by defining normal (Gaussian), uniform, and exponential distributions. It then shows how Monte Carlo simulations can be used to analyze the classic Monty Hall problem and to find an approximate value of pi.
Topics covered: Gaussian distributions, analytical models, simulations, exponential growth, probability, distributions, Monty Hall problem.
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