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Can anyone tell me whether following things are true or not

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

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Other answers:

Both.
please allow him to post his question :/
the uqestion is in the comment @maddie0603 @unheard @poopsiedoodle @AravindG
i know i was messing around with u
same. I dunno this stuff :p
it is the expectation of expectation of theta whole square
@Sean_Anderson you had your fun now buzzout I am in no mood for silly jokes
@ipm1988 expectation in what terms ..I really dont seem to understand your notation ..Which chapter does this come under?
@AravindG point estimation
sorry statistics isnt my area
@maddie0603 do you have any idea
nope
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.
Fyi, when you encounter E[X|Y] where X and Y are rvs, which is called conditional expectation, then E[X\Y] is a rv itself. :)
i agree with both, people can some times it depends on what they choose on, so it makes it true and false lolz
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