This is an interesting reply. I also wonder how much is the effect (of the
error)? Does anyone have good examples of those things (especially the
last three)? Good to have them when we teach...
-----Original Message-----
From: Phillip Good [mailto:[log in to unmask]]
Sent: Wednesday, March 27, 2002 12:30 AM
To: Allstat Miling List Miling List - UK MailBase JISMAIL; Anzstat =
Miling
List
Subject: Re: Excel Stats
Buying statistical software will no more make you a statistician, than
purchasing =AB Brain Surgery Made Easy =BB at the grocery store =
check-out will
turn you into a neurosurgeon.
=20
Consider the following common errors, =20
o collecting data so that the observations are dependent
o failing to randomly assign treatments to subjects
o attributing statistical significance to adhoc-posthoc comparisons
o ignoring the assumptions underlying statistical tests, for example, =
using
analysis of variance techniques on non-normal data
o confusing correlation and regression with cause and effect
o implicitly ordering p-values (e.g., "p=3D0.03 is 'more' significant =
than
p=3D0.05")
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