18.600 Probability and Random Variables
Probability spaces, random variables, distribution functions. Binomial, geometric, hypergeometric, Poisson distributions. Uniform, exponential, normal, gamma and beta distributions. Conditional probability, Bayes theorem, joint distributions. Chebyshev inequality, law of large numbers, and central limit theorem. Credit cannot also be received for 6.041A or 6.041B.
This class has no prerequisites.
18.600 will be offered this semester (Fall 2018). It is instructed by J. Kelner.
Lecture occurs 10:00 AM to 11:00 AM on Mondays, Wednesdays and Fridays in 54-100.
This class counts for a total of 12 credits.
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