STAT 134 Lecture 4: Pairwise Independence, Binomial Theorem, Consecutive Odds Ratio
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Placbk pgh a b p blab pcb mab. Pca p b then pca b p ac p b. Pcab p alpcb and plack pcaiplcs and pcb p bpcc. Is b12 biz and 1323 independent birthday of person 1,21 and 3. Bemouli p trial distribution success p failure l p outcomes g we have n independent bernoulis p trials. 4 fixed trials of fr fixed probability we roll a die n times. The chance of having each of the number of is called the bin hip distribution successes. K ch k number of trials chance of success number of successes. Roll a die 5 times what is the chance of getting 26 s. It bwdfrder e doesn"t mater f 4843 14 9 13. R probabilityof getting 26 s probabilityof getting3 failures not 6 choosing 2 successes out of 5 trials. Use combination instead of permutation because order does not ma her.
