The main statistical methods used in agricultural research for treatment comparison and for describing uncertainty about estimated parameters are reviewed. Since wrong interpretations of these methods are common, more informative procedures for presenting results are proposed. The concept of “relevant valor” is discussed and it is assumed as a fundamental concept for designing experiments and results interpretation. Finally, a Bayesian alternative of analyzing data is presented.