Dear all,
I'm wondering if sample size (number of samples, n)
is playing a role here.
Since Colin is using Excel to analyse several
thousand samples, I have checked the functions of t-tests in Excel. In the Data
Analysis Tools help, a function is provided for "t-Test: Two-Sample Assuming
Unequal Variances analysis". This function is the same as those from
many text books (There are other forms of the function). Unfortunately, I
cannot find the function for "assuming equal variances" in Excel, but I assume
they are similar, and should be the same as those from some text
books.
From the function, you can find that when the
sample size is large you always get a large t value. When sample size is
large enough, even slight differences between the mean values of two data
sets (x bar and y bar) can be detected, and this will result in rejection of the
null hypothesis. This is in fact quite reasonable. When the sample size is
large, you are confident with the mean values (Central Limit Theorem), with
a very small stand error (s/(sqrt(n)). Therefore, you are confident to
detect the differences between the two data sets. Even though there is only a
slight difference, you can still say, yes, they are "significantly"
different.
If you still remember some time ago, we had a
discussion on large sample size problem for tests for normality. When the sample
size is large enough, the result can always be expected (for real data sets),
that is, rejection of the null hypothesis.
Cheers,
Chaosheng
--------------------------------------------------------------------------
Dr. Chaosheng Zhang
Lecturer in GIS
Department of Geography
National University of Ireland, Galway
IRELAND
Tel: +353-91-524411 x 2375
Direct Tel: +353-91-49 2375
Fax: +353-91-525700
E-mail: [EMAIL PROTECTED]
Web 1: www.nuigalway.ie/geography/zhang.html
Web 2: www.nuigalway.ie/geography/gis/index.htm
----------------------------------------------------------------------------
Dr. Chaosheng Zhang
Lecturer in GIS
Department of Geography
National University of Ireland, Galway
IRELAND
Tel: +353-91-524411 x 2375
Direct Tel: +353-91-49 2375
Fax: +353-91-525700
E-mail: [EMAIL PROTECTED]
Web 1: www.nuigalway.ie/geography/zhang.html
Web 2: www.nuigalway.ie/geography/gis/index.htm
----------------------------------------------------------------------------
----- Original Message -----
From: "Isobel Clark" <[EMAIL PROTECTED]>
To: "Donald E. Myers" <[EMAIL PROTECTED]>
Cc: "Colin Badenhorst" <[EMAIL PROTECTED]>;
<[EMAIL PROTECTED]>
Sent: Saturday, December 04, 2004 11:49
AM
Subject: [ai-geostats] F and T-test for samples
drawn from the same p
>
> Thank you for the extended clarification of F and t
> hypothesis test. For those unfamiliar with the
> concept, it is worth noting that the F test for
> multiple means may be more familiar under the title
> "Analysis of variance".
>
> My own brief answer was in the context of Colin's
> question, where it was quite clear that he was talking
> aboutthe simplest F variance-ratio and t comparison of
> means test.
>
> Isobel
>
>
> * By using the ai-geostats mailing list you agree to follow its rules
> ( see http://www.ai-geostats.org/help_ai-geostats.htm )
>
> * To unsubscribe to ai-geostats, send the following in the subject or in the body (plain text format) of an email message to [EMAIL PROTECTED]
>
> Signoff ai-geostats
>
* By using the ai-geostats mailing list you agree to follow its rules ( see http://www.ai-geostats.org/help_ai-geostats.htm )
* To unsubscribe to ai-geostats, send the following in the subject or in the body (plain text format) of an email message to [EMAIL PROTECTED] Signoff ai-geostats
