Thanks,
Sean M. Connery
(not the rich one)
For one-tailed testing you can take half the two-tailed
p-value. You then can conclude there is a statistical
significant difference between the two samples if this value
is equal to or less then the risk you want to take for
drawing a false conclusion AND the difference between the
means is in the hypothesized direction.
Jan Radder
Jan Radder -- jj.r...@pg.tno.nl
When you run a independed sample t-test in SPSS 7.5, clicking on the
"Options..." button allows you to specify any confidence interval you
wish. Thus, a "ONE-tailed" t-test with an alpha of .05 would have a
confidence interval of 97.5%.
- Ed
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Edward Torpy Technical Marketing Specialist SPSS Inc.
Phone: (312) 494-3289 Internet: eto...@spss.com Fax: (312) 329-3690
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: When you run a independed sample t-test in SPSS 7.5, clicking on the
: "Options..." button allows you to specify any confidence interval you
: wish. Thus, a "ONE-tailed" t-test with an alpha of .05 would have a
: confidence interval of 97.5%.
- Whence 97.5% ?
In my imagination, a one-tailed test at 5%
looks just like a 10% test that is two-tailed,
except that you have to chop off the unwanted tail
(which represents the impossible outcome).
--
Rich Ulrich, biostatistician wpi...@pitt.edu
http://www.pitt.edu/~wpilib/index.html Univ. of Pittsburgh
>When you run a independed sample t-test in SPSS 7.5, clicking on the
>"Options..." button allows you to specify any confidence interval you
>wish. Thus, a "ONE-tailed" t-test with an alpha of .05 would have a
>confidence interval of 97.5%.
>
Is there any reason this would not apply to a matched pair t-test?
John
I think what Ed meant here was that you could look at an alpha/2 CI to
see if it contained 0 in order to get the same conclusion as a one-sided
test at alpha, which is correct. If you want a one-sided p-value, you
of course simply cut the two-sided one in half if the mean difference is
in the predicted direction.
--
David Nichols
Principal Support Statistician and
Manager of Statistical Support
SPSS Inc.
No, the same principle would apply.