PROPHET StatGuide: Bartlett's Test
Bartlett's test is used to test the
null hypothesis
that multiple
population
variances (corresponding to multiple
samples) are equal.
The full version of StatGuide for Bartlett's test will be available in a
future release. In the meantime, to properly analyze and interpret
results of Bartlett's 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
Bartlett's test
may result in drawing erroneous conclusions from your data.
Additionally, you may want to consult the following references:
- Brownlee, K. A. 1965. Statistical Theory and Methodology
in Science and Engineering. New York: John Wiley & Sons.
- Miller, Rupert G. Jr. 1986. Beyond ANOVA, Basics of Applied
Statistics. New York: John Wiley & Sons.
- 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.
Do a keyword search of PROPHET
StatGuide.
Back to StatGuide variance tests page.
Back to StatGuide home page.
Last modified: February 20, 1997
©1996 BBN Corporation All
rights reserved.
Examine the glossary.