Abstract
Initial Assumptions, We assume that it is standard practice to base an initial analysis of experimental data on a linear model including terms for blocks, treatments and covariates. This produces a summary analysis of variance, indicating the major components of variation relative to the fitted model, and tables of means (one- or two-way) as indicated from the analysis of variances, with appropriate standard errors.
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Recommended Citation
Mead, Roger
(1995).
"A REVIEW OF ANALYSIS OF EXPERIMENTAL DATA,"
Conference on Applied Statistics in Agriculture.
https://doi.org/10.4148/2475-7772.1328
A REVIEW OF ANALYSIS OF EXPERIMENTAL DATA
Initial Assumptions, We assume that it is standard practice to base an initial analysis of experimental data on a linear model including terms for blocks, treatments and covariates. This produces a summary analysis of variance, indicating the major components of variation relative to the fitted model, and tables of means (one- or two-way) as indicated from the analysis of variances, with appropriate standard errors.
