Dear Dr. Snow,
I would like to ask for help on my three questions regarding Kolmogorov
Smirnov test.
1.
'With a sample size over 10,000 you will have power to detect differences
that are not practically meaningful. '
-Is sample size of 3000 for each sample okay for using Kolmogorov
Smirnov test?
2.
I am checking whether my KS procedure is correct.
I have compared results of KS tests using the following 3 softwares:
1. Statistica
2. http://www.wessa.net/rwasp_Reddy-Moores%20K-S%20Test.wasp
3. http://www.physics.csbsju.edu/stats/KS-test.html
I have observed that the three softwares produced the same results only if
the samples sizes are equal.
However, when samples are not equal, I did not get similar results
particularly from the wessa.net calculator.
Is it allowed to do a KS test to compare samples with unequal sizes?
3.
Is it allowed to use the raw data values in doing KS test? Or should I use
the frequencies obtained from frequency distribution table of the raw data
from each sample?
I think that when I use the frequency, the KS test will construct new
cumulative fractions from the frequencies, which I think is not right.
Hope you can assist me. Thanks!
-rommel
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