Bad, Doctor, and News: Another useful formula concerns the expectation of a sum of randorm
 variables. Referring to first principles (as we did in establishing (4.3)), obtain
 the following as an exercise:
 E(g1(X)+92(X)+ g(X))
 (4.4)
 I think it is time for a break; things are beginning to get a bit dull. So,
 a guy goes in to see his doctor. The doctor evaluates the patient and says,
 "I have bad news - you have Alzheimer's disease and you have cancer." The
 guy looks back at his doctor and says, "At least I don't have Alzheimer's."
 Ok, let's get back to business. The previous discussion leads to a promi-
 nent expectation E(g(X)) which is obtained when we choose g(x) (X
 E(X))2. The variance of a discrete random variable X is defined as
 Var(X) = E((X-E(X))2).
 (4.5)
 Sometimes we use the notation σ, for variance or the simpler notation σ
 when X is understood. Whereas E(X) is a characteristic of the randorm
Not something i expected to see in my statistics textbook

Not something i expected to see in my statistics textbook

Another useful formula concerns the expectation of a sum of randorm variables Referring to first principles as we did in establishing 43 obtain the following as an exercise Eg1X+92X+ gX 44 I think it is time for a break things are beginning to get a bit dull So a guy goes in to see his doctor The doctor evaluates the patient and says I have bad news - you have Alzheimer's disease and you have cancer The guy looks back at his doctor and says At least I don't have Alzheimer's Ok let's get back to business The previous discussion leads to a promi- nent expectation EgX which is obtained when we choose gx X EX2 The variance of a discrete random variable X is defined as VarX = EX-EX2 45 Sometimes we use the notation σ for variance or the simpler notation σ when X is understood Whereas EX is a characteristic of the randorm Not something i expected to see in my statistics textbook Meme

found @ 41 likes ON 2019-02-24 21:32:33 BY ME.ME

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