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: [email protected]
[mailto:[email protected]] On Behalf Of Bastian Steingros
Sent: Monday, November 24, 2008 12:56 PM
To: [email protected]
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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