When conducting a significance test, particularly a t-test you have
three types of null hypotheses:
1) beta_0 > beta10
2) beta_0 < beta10
3) beat_0 >< beta10
The first one is a right hand side test; the second one is a left hand
side test; and the last one is a two tail test.
Then the t test is given as t= (beta_0 - beta10)/std(beta_0) with the
respective rejection results. For example in the first case reject Ho if
t_test > t_table with at t(1-alpha, n-#parms).
You should be able to find further details on these tests in any basic
stat book.
-----Original Message-----
From: SPSSX(r) Discussion [mailto:
[hidden email]] On Behalf Of
John Norton
Sent: Thursday, February 01, 2007 2:37 PM
To:
[hidden email]
Subject: Right/Left Sided Significance
Hi List,
I've heard of one and two-tailed significance. However, I was just
asked about right-sided and left-sided significance, and how they differ
from a two-sided significance. I've never heard of right and left sided
significance. Can anyone on this list help explain?
Thanks,
John Norton
Biostatistician
Oncology Institute
Loyola University Medical Center
(708) 327-3095
[hidden email]
"Absence of evidence
is not evidence of absence"
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