Will Hopkins wrote:
Responses to various folks. And to everyone touchy about one-tailed
tests, let me make it quite clear that I am only promoting them as a
way of making a sensible statement about probability. A two-tailed p
value has no real meaning, because no real effects are ever
we have to first separate out 2 things:
1. some test statistics are naturally (the way they work anyway) ONE sided
with respect to retain/reject decisions
example: chi square test for independence ... we reject ONLY when chi
square is LARGER than some CV ... to put a CV at the lower end of
dennis roberts wrote:
we have to first separate out 2 things:
1. some test statistics are naturally (the way they work anyway) ONE sided
with respect to retain/reject decisions
example: chi square test for independence ... we reject ONLY when chi
square is LARGER than some CV ... to
In article p0433010fb6d329af7d2d@[139.80.121.126],
Will Hopkins [EMAIL PROTECTED] wrote:
At 7:34 PM + 12/3/01, Jerry Dallal wrote:
Don't do one-tailed tests.
If you are going to do any tests, it makes more sense to one-tailed
tests. The resulting p value actually means something that folks
Will Hopkins wrote:
At 7:34 PM + 12/3/01, Jerry Dallal wrote:
Don't do one-tailed tests.
If you are going to do any tests, it makes more sense to one-tailed
tests.
If you're doing a 1 tailed test, why test at all? Just switch from
standard treatment to the new one. Can't do any
Is JAVA suitable to develop programs of statistic or a more specific
language exists?
Paolo
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On 13 Mar 2001 07:12:33 -0800, [EMAIL PROTECTED] (dennis roberts) wrote:
1. some test statistics are naturally (the way they work anyway) ONE sided
with respect to retain/reject decisions
example: chi square test for independence ... we reject ONLY when chi
square is LARGER than some CV ...
well, help me out a bit
i give a survey and ... have categorized respondents into male and females
... and also into science major and non science majors ... and find a data
table like:
MTB chisquare c1 c2
Chi-Square Test: C1, C2
Expected counts are printed below observed counts
In article [EMAIL PROTECTED],
RD [EMAIL PROTECTED] wrote:
On 13 Mar 2001 07:12:33 -0800, [EMAIL PROTECTED] (dennis roberts) wrote:
1. some test statistics are naturally (the way they work anyway) ONE sided
with respect to retain/reject decisions
example: chi square test for independence ...
In article [EMAIL PROTECTED],
RD [EMAIL PROTECTED] writes:
On 13 Mar 2001 07:12:33 -0800, [EMAIL PROTECTED] (dennis roberts) wrote:
1. some test statistics are naturally (the way they work anyway) ONE sided
with respect to retain/reject decisions
example: chi square test for
Responses to various folks. And to everyone touchy about one-tailed
tests, let me make it quite clear that I am only promoting them as a
way of making a sensible statement about probability. A two-tailed p
value has no real meaning, because no real effects are ever null. A
one-tailed p
On Fri, 09 Mar 2001 15:53:12 +, Thom Baguley
[EMAIL PROTECTED] wrote:
Irving Scheffe wrote:
Imagine it is 1961. Our question is, which outfield has better
home run hitters, the Yankees or Detroit? Here are the numbers
for the Yankee and Tiger starting Outfields.
Yanks
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Hi Lee,
If you go to my web page for Latent Trait and Item Response Theory (IRT)
Models,
http://ourworld.compuserve.com/homepages/jsuebersax/lta.htm
(please let me know if this link doesn't work)
that will point to several other pages that might help.
Then the IRT curve that I am
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