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Spring 2016

C. Houdre

MATH 3670

Statistics and Applications week 1 notes Covering basics of probability

Statistics and Applications week 2 covering systematic ways to approach probability pardon the messier handwriting on the second half of the notes

covering conditioning and independence touching on Baye's Formula

dealing with PMF (probability mass function) and CDF (cumulative distribution function)

covering Expectation, Variance, and their relationship

moving onto chapter four and covering pdf

Covering Chapters 2 (probability, conditional, independence) and chapter 3 (pmf,cdf, binomial, hypergeometric, poisson)

No notes this week, as there was a test tuesday and i was sick on thursday. Thanks!

covering some normal random variables and their pdf, cdf, etc. Notes during tuesday were given on a worksheet in class, so is not included in this bundle

dealing with dependence and correlation