ipm1988
Can anyone tell me whether following things are true or not



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poopsiedoodle
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False.

maddie0603
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true

ipm1988
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Where E stands for expectation\[E { [E(\theta)]^2 } = (E(\theta))^2\]

unheard
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Both.

AravindG
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please allow him to post his question :/

ipm1988
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the uqestion is in the comment @maddie0603 @unheard @poopsiedoodle @AravindG

maddie0603
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i know i was messing around with u

poopsiedoodle
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same. I dunno this stuff :p

ipm1988
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it is the expectation of expectation of theta whole square


ipm1988
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@Sean_Anderson you had your fun now buzzout I am in no mood for silly jokes

AravindG
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@ipm1988 expectation in what terms ..I really dont seem to understand your notation ..Which chapter does this come under?

ipm1988
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@AravindG point estimation

AravindG
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sorry statistics isnt my area

ipm1988
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@maddie0603 do you have any idea

maddie0603
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nope

drawar
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if X is a random variable, then E[X] is a number independent of x, let me call it c, then E[E[X]]=E[c]=c, so E[E[X]]^2=c^2=(E[X])^2.

drawar
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Fyi, when you encounter E[XY] where X and Y are rvs, which is called conditional expectation, then E[X\Y] is a rv itself. :)

AKANicole
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i agree with both, people can some times it depends on what they choose on, so it makes it true and false lolz

AKANicole
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dw:1365876012789:dw