STAT333 Lecture 2: 333 Lecture 2
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2 wants e and f ar said to be independent if pcen f. Eef not same as disjoint different from disjoint if disjoint then pce n f distant and indep if pce or pud 0. Sequence of events ec ez for any finite index set if. Law of be disjoint events and ui fao. Let e fz oh we say that fi forms a partition of the sample spacer. I pcei e pce rule tells us how to find conditional probability by switching therole of the event and the condition. Random variable x is s ir r w t nws r v transforms arbitrary outcomes into numbers introduces a probability on 112. Let x be a random variable cdf f of x is defined by. 2 y fcx7 o x fed l x. Cdf not necessary to be at is right continous hint lx"s a for aida.
