STAT 134 Lecture Notes - Lecture 2: Bayes Estimator
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Rule if a b are mutuallyexclusive sets pcaor b pla tp b. Inclusion exclusion pcaor b p a 1pcb plab today. Ai ama a azuaza3 aiva 2 a3 itlaame. 1 and show true for n 2 for n i ai piaz pi aiaz trick write ci a as. Assume true for union of h events and show true for union of net events. Uniform distribution on a finite set exis y xn. Let x be a random draw at one of these numbers p x xi ht for all i we say that x has uniform distribution on 9 1. Examplesupptose a wo4rd if randomly picked thorn this sentence what is the distribution of the length of the word picked. Answer uniff 97 i 4 2 8,6 4,418 xn. Let a b be subsets of i e events h. We say a and b are independent if. P al b pla or equivalently p ab.
