The important point, I think, is that SDs and SEs measure two different
things. The standard deviation is a measure of variation within a
sample, and is an estimate of the amount of variation in the population
from which the sample was drawn. The standard error is a measure of
uncertainty (sampling variation) in some statistic, such as the sample
mean, and is used to derive confidence intervals and such. As
sample size increases, the standard deviation converges (almost) on its
"true" value, while the standard error converges on zero.
- -----Original Message-----
- From: VOLTOLINI
[mailto:[EMAIL PROTECTED]]
- Sent: Tuesday, April 01, 2003 9:19 AM
- To: List EDSTAT
- Subject: SD or SE ?
- Hi, my doubt is simple......
-
-
- When to use the Standard Deviation (SD) and the Standard Error (SE)?
-
- I preffer to use the SE because when comparing groups of data the box
plots with SE give me the same results as the tests. Then, it seems that
using a box plot with SE the conclusion is more powerfull.
-
=============================================================
Richard E.
Strauss
(806)
742-2719
Biological
Sciences
(806)
742-2963 Fax
Texas Tech
University
[EMAIL PROTECTED]
Lubbock, TX 79409-3131
<
http://www.biol.ttu.edu/Strauss/Strauss.html>
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