Cut-and-paste then run the SPSS syntax at the end of this message.
this should help you check your results.

this is a .pdf document on how to calculate the significance of a t .
http://www.spss.com/tech/stat/algorithms/11.0/app02_sig_t.pdf

this is another .pdf document that shows how get cdf and idf (p. 11)
http://www.spss.com/tech/stat/algorithms/11.0/app12_cdf_pdf_rand.pdf

Hope this helps.

Art
[EMAIL PROTECTED]
Social Research Consultants
University Park, MD USA
(301) 864-5570
* this will read t and df and output p.
new file.
data list free/ t, df.
begin data
-7.22 21.5
3.99 14
5.2 20
1.96 300
1.645 300
-1.96 50
-.33 22.5
-2. 18
-1.66 66
end data.
compute p= cdf.t(t,df).
format t (f7.2) df (f7.1) p (f7.3) .
list.

*this will read p and output t.
new file.
data list free/ p, df .
begin data
.06 10
.051 12.5
.050 15
.0501 17.5
.049 22
.0499 33
.01 27.5
.001 27.5
end data.
compute t= idf.t(p,df).
format t (f7.2) p (f7.3) df (f7.1).
list.



Martin Russell wrote:
> I've been trying to find out for a few days now how to calculate the value
> of t that's exceeded given the degrees of freedom and the probability the
> value will be exceeded. I've found some ways of calculating the probability,
> given the t value and df, but it seems that they all fail for at least one
> value for df. So, could anyone help me with this?
> 
> The reason I'm asking is I'm trying to program my calculator to work it out,
> and it doesn't have many stat functions. Also, I could take an answer in
> some computer language and convert it to work on my calculator, provided it
> isn't too complex. Thanks in advance :)
> 
> 

.
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