anonymous
  • anonymous
Can anyone tell me whether following things are true or not
Statistics
katieb
  • katieb
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poopsiedoodle
  • poopsiedoodle
False.
anonymous
  • anonymous
true
anonymous
  • anonymous
Where E stands for expectation\[E { [E(\theta)]^2 } = (E(\theta))^2\]

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anonymous
  • anonymous
Both.
AravindG
  • AravindG
please allow him to post his question :/
anonymous
  • anonymous
the uqestion is in the comment @maddie0603 @unheard @poopsiedoodle @AravindG
anonymous
  • anonymous
i know i was messing around with u
poopsiedoodle
  • poopsiedoodle
same. I dunno this stuff :p
anonymous
  • anonymous
it is the expectation of expectation of theta whole square
AravindG
  • AravindG
anonymous
  • anonymous
@Sean_Anderson you had your fun now buzzout I am in no mood for silly jokes
AravindG
  • AravindG
@ipm1988 expectation in what terms ..I really dont seem to understand your notation ..Which chapter does this come under?
anonymous
  • anonymous
@AravindG point estimation
AravindG
  • AravindG
sorry statistics isnt my area
anonymous
  • anonymous
@maddie0603 do you have any idea
anonymous
  • anonymous
nope
anonymous
  • anonymous
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.
anonymous
  • anonymous
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. :)
anonymous
  • anonymous
i agree with both, people can some times it depends on what they choose on, so it makes it true and false lolz
anonymous
  • anonymous
|dw:1365876012789:dw|

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