PROPHET StatGuide: Chi-square Distribution Test (Kolmogorov-Smirnov)
The Kolmogorov-Smirnov test
can be used to test the null hypothesis
that the population
distribution
from which the data sample is drawn is a chi-square distribution.
The full version of StatGuide for chi-square distribution test by the Kolmogorov-Smirnov test will be available
in a future release. In the meantime, to properly analyze and interpret results
of chi-square distribution test by the Kolmogorov-Smirnov test, you should be familiar with the following terms
and concepts:
If you are not familiar with these terms and concepts, you are advised to
consult with a statistician. Failure to understand and properly apply
chi-square distribution test by the Kolmogorov-Smirnov test may result in drawing erroneous conclusions from your
data. Additionally, you may want to consult the following references:
- Conover, W. J. 1980. Practical Nonparametric Statistics. 2nd ed.
New York: John Wiley & Sons.
- D'Agostino, R. B. and Stephens, M. A., eds. 1986. Goodness-of-fit
Techniques. New York: Dekker.
- Daniel, Wayne W. 1978. Applied Nonparametric Statistics.
Boston: Houghton Mifflin.
- Daniel, Wayne W. 1995. Biostatistics. 6th ed.
New York: John Wiley & Sons.
- Rosner, Bernard. 1995. Fundamentals of Biostatistics.
4th ed. Belmont, California: Duxbury Press.
- Sokal, Robert R. and Rohlf, F. James. 1995. Biometry. 3rd. ed.
New York: W. H. Freeman and Co.
- Zar, Jerrold H. 1996. Biostatistical Analysis. 3rd ed. Upper Saddle River, NJ:
Prentice-Hall.
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Last modified: February 20, 1997
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