# PROPHET StatGuide: Cochran's Q test

##
Cochran's Q test is used to test the
null hypothesis
that several treatment effects
(locations)
are equal for a dichotomous outcome variable.

The full version of StatGuide for *Cochran's Q test* will be available in a
future release. In the meantime, to properly analyze and interpret
results of *Cochran's Q 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 *
Cochran's Q 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.
- 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.
- Lehmann, E. L. 1975.
*Nonparametrics: Statistical Methods Based on
Ranks. * San Francisco: Holden-Day.
- 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 testing equality of means/location page.

**
Back** to StatGuide nonparametric tests page.

**
Back** to StatGuide home page.

##### Last modified: March 14, 1997

©1996 BBN Corporation All
rights reserved.