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Fatigue level was analyzed by using analysis of variance (ANOVA).
The significance of the developed empirical mathematical model is validated by using Analysis of variance (ANOVA).
Variability between and within subjects was estimated by using analysis of variance for random effects.
The influencing parameters were identified by using analysis of variance and Grey Relational Analysis GRAA).
The obtained data were then analyzed by using analysis of variance (ANOVA) method.
Statistical analysis was performed by using analysis of variance with Tukey's least significant difference criterion.
By using analysis of variance, differences in students' test scores between instruction forms were examined.
The contribution percentages of the control factors were determined by using analysis of variance (ANOVA).
Statistically effects of the factors were also determined by using analysis of variance (ANOVA) method.
The main and interaction effects of the process parameters have been studied by using analysis of variance (ANOVA) method.
The most significant control factors affected on drill bit temperature measurements was obtained by using analysis of variance (ANOVA).
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