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st: RE: significance of mean and median


From   "Martin Weiss" <martin.weiss1@gmx.de>
To   <statalist@hsphsun2.harvard.edu>
Subject   st: RE: significance of mean and median
Date   Mon, 24 Nov 2008 13:46:42 +0100

Line for the server...

On the second part, without judging the appropriateness of your procedure,
"(GDP_predicted - GDP)" looks like a straightforward residual to me,
available from -predict-, which would generate a new variable, ready to be
divided by "GDP" with -replace-. Afterwards -ttest- compares means and
-median- compares medians...

HTH
Martin


-----Original Message-----
From: owner-statalist@hsphsun2.harvard.edu
[mailto:owner-statalist@hsphsun2.harvard.edu] On Behalf Of Bastian Steingros
Sent: Monday, November 24, 2008 12:56 PM
To: statalist@hsphsun2.harvard.edu
Subject: st: significance of mean and median

Hello everybody,

I have this problem:

After creating the descriptive statistics of my sample I want to show that
the mean of a certain variable is statistically significant.
For example the mean of var1 is 0,45. Now I want to show that the positive
sign is significant.
Is ttest the appropriate way to do so?

Moreover, in another sample I want to predict the GDP using two different
regression models.
Finally, I want to compare the predicted values with the real GDP, that is,
I will compare the mean and the median of the inaccuracy. 
Inaccuracy is defined as (GDP_predicted - GDP)/GDP

Is there a way to show that the median (mean) inaccuracies of the two models
are statistically different from each other?

may be *signtest*???

thanks

bastian s
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