On Wed, 05 Apr 2000 14:14:29 GMT, Madewell <[EMAIL PROTECTED]>
wrote:
> The original question said "to compare distributions to sets of data"
> so I believe the discussion concerns the "Goodness of Fit" tests.
Oh, then the proper answer, at the start, by whoever responded then,
would have been t
The original question said "to compare distributions to sets of data"
so I believe the discussion concerns the "Goodness of Fit" tests.
The power should be directly related to the sample size vs. test method
used. I plan to run some tests to investigate this.
In article <[EMAIL PROTECTED]>,
On Tue, 04 Apr 2000 17:41:27 GMT, Madewell <[EMAIL PROTECTED]>
wrote:
> Let me ask you guys this. If you calculated the power for
> the Chi-Squared test using both a small and then a large numbers and did
> the same for the KS test what would you find?
>
Which chisquared test? I keep remindin
In article <8cd9g3$c5d$[EMAIL PROTECTED]>,
Madewell <[EMAIL PROTECTED]> wrote:
>Let me ask you guys this. If you calculated the power for
>the Chi-Squared test using both a small and then a large numbers and did
>the same for the KS test what would you find?
The power of the KS test, as usually
Let me ask you guys this. If you calculated the power for
the Chi-Squared test using both a small and then a large numbers and did
the same for the KS test what would you find?
In article <8c4vhs$e75$[EMAIL PROTECTED]>,
[EMAIL PROTECTED] wrote:
> Herman Rubin ([EMAIL PROTECTED]) wrote:
> : How
Herman Rubin ([EMAIL PROTECTED]) wrote:
: How should one decide which type of test to use EXCEPT by
: looking at its power? Statistics is not a collection of
Minor details like validity come to mind. But you're exactly right,
Herman, among tests that are valid, power is certainly an important,
In article <8c0ctq$kol$[EMAIL PROTECTED]>,
CD Madewell <[EMAIL PROTECTED]> wrote:
>I wonder if the writer of the original question really wanted a
>thesis or just a simple answer in how to look at a data set and decide
>which of the two test (he mentioned) to use. If he wanted a discussion
>on w
