- one-sample sign test (test the hypothesis that the probability of a random value from the population being above the specified value is equal to the probability of a random value being below the specified value)
- two-sample paired sign test (test the hypothesis that the probability of a paired difference being above 0 is equal to the probability of a paired difference being below 0)
- Wilcoxon one-sample signed rank test
(test whether population
**median**is equal to hypothesized value) - Wilcoxon two-sample paired signed rank test
(test whether population
**median**of paired differences is 0) - Mann-Whitney rank sum test
(test whether two population distribution functions
are identical against the alternative that they differ
by
**location**) - Kruskal-Wallis test
(test whether several population
distribution functions
are identical the alternative that they differ in
**location**) - Friedman's test
(test whether several treatment effects (
**locations**) are equal for data in a two-way layout) - Ansari-Bradley test
(test whether two population
distribution functions
are identical vs
the alternative that they differ by
**dispersion**(scale)) - Cochran's Q (test
whether several treatment effects (
**locations**) are equal --**dichotomous**outcome variable) - McNemar's Q (test
whether population
**median**of paired differences is 0 --**dichotomous**outcome variable, counted data arranged in "contingency" table)

The full version of StatGuide for

- 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. - Daniel, Wayne W. 1995.
*Biostatistics.*6th ed. New York: John Wiley & Sons. - 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. - 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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