PROPHET StatGuide: Analysis of variance (ANOVA)--Testing equality of means
The full version of StatGuide for
(one-way) analysis of variance and
multi-factor analysis of variance (ANOVA) will be available in a future
release. In the meantime, to properly analyze and interpret results of
one-way analysis of variance, you should be familiar with the following terms
and concepts:
In addition, to properly analyze and interpret results of one-way blocked
analysis of variance you should also be familiar with the following terms
and concepts:
In addition, to properly analyze and interpret results of multi-factor
analysis of variance you should also 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
one-way analysis of variance and multi-factor analysis of variance
(ANOVA) 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.
- Daniel, Wayne W. 1995. Biostatistics. 6th ed.
New York: John Wiley & Sons.
- Miller, Rupert G. Jr. 1986. Beyond ANOVA, Basics of Applied
Statistics. New York: John Wiley & Sons. (Only covers one-way analysis
of variance.)
- Neter, J., Wasserman, W., and Kutner, M.H. 1990. Applied
Linear Statistical Models. 3rd ed. Homewood, IL: Irwin.
- 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.
- Winer, B.J., Brown, D.R., and Michels, K.M. 1991. Statistical Principles
in Experimental Design. 3rd ed. New York: McGraw Hill.
- Zar, Jerrold H. 1996. Biostatistical Analysis. 3rd ed. Upper Saddle River, NJ:
Prentice-Hall.
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Last modified: March 11, 1997
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