On Mon, 17 Mar 2003 19:27:57 GMT, Jerry Dallal
<[EMAIL PROTECTED]> wrote:

>Kevin J wrote:
>
>> I realize there is a distinction between saying this and saying that
>> there is a 95% chance that the population parameter will fall within a
>> _particular_ CI, but I had always thought this distinction very
>> slight.  It appears I am wrong.   Both of my stats texts do emphasize
>> that there is a distinction, but don't explain what the real world
>> impact of this is. Care to educate me?
>
>Let X1, X2 be U(theta-1, theta+1), that is uniform on the interval
>(theta-1, theta+1).  Then (min(X1,X2), max(X1,X2)) is a 50% CI for
>theta because there is a 25% chance that both X1 and X2 will be less
>than theta and a 25% chance that both will be greater than theta. 
>However, if the length of the interval is 1 or more, the interval
>*must* contain theta even though it's a 50% CI.

Awesome, this explains it well.  Thanks.  

Now I feel a little sheepish, but what _is_ the appropriate use of a
CI?  My incorrect assumptions are in my previous post.

-- 
Kevin J

hi spambot, my e-mail adress was made especially for YOU!
.
.
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