Raul Miller wrote:
> On 6/27/07, John Randall <[EMAIL PROTECTED]> wrote:
>> It does not matter how accurate your model is except in the degenerate
>> case of a constant distribution: \bar X is random variable, while \mu is
>> a
>> number.
>
> Well... I do use cases where X and \bar X have numeric value to test
> that I understand the math properly.

This does not work.  I have tried to emphasize that these are random
variables, not numbers.
>
>>  It makes no sense to talk about \mu and \bar X being equal.
>
> If they are not comparable I do not see why it makes sense to
> talk about their difference.
>

Sure it does.  Let X be the random variable counting the number of heads
when 10 coins are tossed.  Then Y=X-5 is a perfectly good random variable.


> ... anyways, around here I'm not sure if it's worth
> proceeding, because I worry that either you have made
> assumptions I disagree with or I have made assumptions
> you disagree with or both.
>

Maybe you are right.

John

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