STATISTICAL PROCESSING OF EXPERIMENTAL DATA USING ANALYSIS OF VARIANCE

Abstract

The differences between samples of observations made by statistics is called analysis of variance (ANOVA). Being an extension of analysis of variance, the two-way ANOVA compares the mean differences between groups that have been split on two independent variables. This method is similar to the process of comparing the statistical difference between two samples, in that it invokes the concept of hypothesis testing. The paper presents an example of calculation for two-way analysis of variance repeated measures applied for the results of strength (Rm) and impact strength (KC) of Ni-Cu and Ni-Cu-Cr austempered ductile iron. Two-factor ANOVA / Two-way ANOVA: is an experiment with two independent variables, call them factor 1 (in our case, the auxiliary alloying elements: Ni-Cu and Ni-Cu-Cr) and factor 2 (in our case, the maintained time at the isothermal level, tiz) that has three levels: tiz = 5, 30 and 60 minutes. It was selected the level of significance (the default is 5% or 0.05).