- One-way Unblocked ANOVA (test whether multiple population means are all equal)
- One-way Blocked ANOVA (test whether factor level means are all equal, allowing for block effects)
- Multi-factor ANOVA (for each of multiple factors/effects, test whether each effect's level means are all equal)

The full version of StatGuide for

- multi-sample problem
- independent samples
- residuals
- Gaussian (normal) distribution
- equality of variance (homoscedasticity)
- transformations
- multiplicity of testing
- multiple comparisons
- nominal vs. overall significance level

- 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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StatGuide.

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