i had sent this note to bob hayden .. re: simulating a sampling
distribution of r values ... assuming that rho = 0 in the population
i know there are ways to simulate a set of X and Y data (i have one) with
some specified r ... but, does anyone know of a routine (in minitab would
be nice) that would allow you to insert some rho value ... specify a paired
n size ... and then say how many variables one wants? 10 variables, 20,
etc. ... so as to generate many many pairs of rs all at once (10 variables
would produce 45 unique rs, etc.) ... from which to make a dotplot (for
example) to get a feel for what the sampling distribution would look like?
thanks for any leads
=======
MTB > rand 20 c1-c20;
SUBC> inte 20 40.
MTB > corr c1-c20 m1
MTB > copy m1 c30-c49
MTB > stack c30-c49 c50
MTB > Code (1) '*' C50 c52
MTB > dotp c52
Dotplot: C52
20 Points missing or out of range
:: :
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: ::: :: : :
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: : ::::: ::::::::::: :: :
: : ::::: ::::::::::::::: :::
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: : :::::::::: ::::::::::::::: :::: :
::: : :::::::::::::::::::::::::::::::::: : : :
-----+---------+---------+---------+---------+---------+-C52
-0.50 -0.25 0.00 0.25 0.50 0.75
MTB > desc c52
Descriptive Statistics: C52
Variable N N* Mean Median TrMean StDev
C52 380 20 -0.0168 -0.0172 -0.0166 0.2283
Variable SE Mean Minimum Maximum Q1 Q3
C52 0.0117 -0.5772 0.6873 -0.1809 0.1303
NOTE: there are really only 190 unique rs here ... 1/2 of the N=380
_________________________________________________________
dennis roberts, educational psychology, penn state university
208 cedar, AC 8148632401, mailto:[EMAIL PROTECTED]
http://roberts.ed.psu.edu/users/droberts/drober~1.htm
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