PROPHET StatGuide: Ansari-Bradley test
The Ansari-Bradley test is used to test the
null hypothesis
that the two population
distribution functions
corresponding to the two
samples
are identical against the alternative hypothesis
that they differ by dispersion
(scale).
The full version of StatGuide for the Ansari-Bradley test will be available in a
future release. In the meantime, to properly analyze and interpret
results of the Ansari-Bradley 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 the
Ansari-Bradley 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.
- Daniel, Wayne W. 1978. Applied Nonparametric Statistics.
Boston: Houghton Mifflin.
- Hollander, M. and Wolfe, D. A. 1973. Nonparametric Statistical Methods.
New York: John Wiley & Sons.
- Miller, Rupert G. Jr. 1986. Beyond ANOVA, Basics of Applied
Statistics. New York: John Wiley & Sons.
- Zar, Jerrold H. 1996. Biostatistical Analysis. 3rd ed. Upper Saddle River, NJ:
Prentice-Hall.
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Last modified: March 18, 1997
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