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normality distribution in data - real-time PCR (Jul/11/2007 )

Hi all
I am analysing six different treatments with n of 6 or more for real time PCR
When using Sigmastat, it says normality failed.
what can be done to make sure that normal distribution is achieved.
i know that increasing sample size is one way to do it

listing down my questions?
1-can outliers be removed without justification
2-would that help achieving normal distribution
3- can someone explain normal distibution in an easier way

thanks
any suggestions n advice is greatly appreciated. thanks for ur precious time on this topic

-Watson-

Sometimes a ln-transformation does the trick.

-kr├╝melmonster-

QUOTE (Watson @ Jul 11 2007, 12:13 PM)
Hi all
I am analysing six different treatments with n of 6 or more for real time PCR
When using Sigmastat, it says normality failed.
what can be done to make sure that normal distribution is achieved.
i know that increasing sample size is one way to do it

listing down my questions?
1-can outliers be removed without justification
2-would that help achieving normal distribution
3- can someone explain normal distibution in an easier way

thanks
any suggestions n advice is greatly appreciated. thanks for ur precious time on this topic


assuming you are aiming for a normal distribution in order to analyze your data, you do not have to do this. real time PCR is expensive and most people don't use enough samples to really get a normal distribution, there are other less popular statistical tests like the Wilcoxon 2 group test, this doesnt depend on the distribution.
-if you want more info let me know i can send it

-Vicky.ac-