Why are DOE (Design of Experiment) and ANOVA important? Explain your answers.?

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DOE (Design of Experiment) - It is the systematic process to use the available methods in order to determine the cause and effect relationship that deals with the factors that are affecting a process and also the output of the process. The process generally consists of input factors both controllable and uncontrollable, the controllable inputs are the factors that we can control and change and the uncontrollable factors are inputs which are not in our control for example if we are talking of an exam then the preparation for the syllabus is in our control but the level of difficulty o the question paper is not in our control. Response is generally the result of outcome and by the exam example we can say that the result or performance of the student is generally the response.

ANOVA - It is generally termed as Analysis of Variance which is a tool that is needed to analyze the total aggregation and variability in a data set that is based on the systematic or the expected factors or the random factors. I believe that Analysis of Variance is used to determine the relationship between independent as well as dependent variables. It is important because the analysis helps to understand that whether there is a relationship between two or more group sis present or not at the same time in a particular data set that will understand the process better.

keosha answered 1 month ago

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