I have corrected something about ANOVA on my following article..
Now you can read this:
"In quality management, quality can also be maintained and improved through the detection and reduction of process variation. Whre statistical techniques as ANOVA and others can be used.. "
We have many mathematical tools that we can use in Quality control, example: Correlation, Regression , ANOVA etc.
ANOVA is a powerfull and important mathematic tool in Quality control , by calculating the p-value in Excel or other statistical tools , this will give us an important information like if one or more variables have a significant effect on other variables. If for example the p-value <= 0.05 (or if F > critical F value) this imply that the null hypothesis is rejected , and the factor (or factors) has in fact an effect.."