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case is 2 squared where these two stands
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case is 2 squared where these two stands
for the length of the interval divided
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for the length of the interval divided
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for the length of the interval divided
by 12 which is the same as 4 over 12 so
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by 12 which is the same as 4 over 12 so
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by 12 which is the same as 4 over 12 so
we now have a complete probabilistic
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we now have a complete probabilistic
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we now have a complete probabilistic
description of the conditional variance
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description of the conditional variance
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description of the conditional variance
as a random variable it's a random
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as a random variable it's a random
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as a random variable it's a random
variable that with these probabilities
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variable that with these probabilities
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variable that with these probabilities
takes these two particular values since
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takes these two particular values since
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takes these two particular values since
we know the distribution of this random
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we know the distribution of this random
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we know the distribution of this random
variable we can certainly calculate its
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variable we can certainly calculate its
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variable we can certainly calculate its
expected value and the expected value is
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expected value and the expected value is
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expected value and the expected value is
found as follows with probability 1/2
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found as follows with probability 1/2
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found as follows with probability 1/2
the random variable of interest takes
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the random variable of interest takes