and with bivariate data, neither component need be high or low!
Jon Cryer
At 12:14 PM 2/25/2002 -0700, you wrote:
>Of course it can be. An outlier is any value that is not usual for your data
>set.
>"Voltolini" <[EMAIL PROTECTED]> wrote in message
>002f01c1be21$65913d60$0fe9e3c8@oemcomputer">new
Voltolini wrote:
>
> Hi,
>
> My doubt isan outlier can be a LOW data value in the sample (and not
> just the highest) ?
>
> Several text boks dont make this clear !!!
What makes an outlier "an outlier" is your model. If your model accounts
for all the observations, you can't really call an
of course, if one has control over the data, checking the coding and making
sure it is correct is a good thing to do
if you do not have control over that, then there may be very little you can
do with it and in fact, you may be totally UNaware of an outlier problem
i see as a potentially MUCH
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An "outlier" is any value for a variable that is suspect given the
measurement system, "common sense", other values for the variable in
the data set, or the values a case has on ot
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That being said, occasions can arise where there are outliers other than
from measurement or data entry error. Different disciplines have different
approaches.
What discipline are yo
Of course it can be. An outlier is any value that is not usual for your data
set.
"Voltolini" <[EMAIL PROTECTED]> wrote in message
002f01c1be21$65913d60$0fe9e3c8@oemcomputer">news:002f01c1be21$65913d60$0fe9e3c8@oemcomputer...
> Hi,
>
>
> My doubt isan outlier can be a LOW data value in the sam
Hi,
My doubt isan outlier can be a LOW data value in the sample (and not
just the highest) ?
Several text boks dont make this clear !!!
Thanks
V.
=
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