What's normal anyway? Residual plots are more telling than significance tests when checking ANOVA assumptions

Fundamentals of Experimental Design: Guidelines for Designing Successful Experiments

(2015) Michael D. Casler   AGRONOMY JOURNAL

Can Analysis of Variance Be More Significant?

(2015) Marla S. McIntosh   AGRONOMY JOURNAL

“, or , the two great ends of Fate”: Errors in Agronomic Research

(2015) Kimberly Garland Campbell et al.   AGRONOMY JOURNAL

The effects of data input errors on subsequent statistical inference

(2015) Marcin Kozak et al.   JOURNAL OF APPLIED STATISTICS

Why Randomize Agricultural Experiments?

(2013) H. P. Piepho et al.   JOURNAL OF AGRONOMY AND CROP SCIENCE

Checking Normality and Homoscedasticity in the General Linear Model Using Diagnostic Plots

(2011) A. Schützenmeister et al.   COMMUNICATIONS IN STATISTICS-SIMULATION AND COMPUTATION

Analyzing one-way experiments: a piece of cake of a pain in the neck?

(2009) Marcin Kozak   SCIENTIA AGRICOLA

The two-sample t test: pre-testing its assumptions does not pay off

(2009) Dieter Rasch et al.   STATISTICAL PAPERS