Designed Experiment
Statistics is a subject that deals with the study of calculating, gathering, observing and interpreting the numerical data. It can be said that it is full of research and experiments. An ordered procedure which is performed with the right objective of determining, or verifying the validity of the hypothesis is called a statistical experiment. Some specific questions need to be clearly identified for which the experiment is intended. So, to minimize the variability effect, it is important to design the experiment. So, designing the experiments needs to be done by the researcher for the purpose of improvement of precision. This is known as design of experiments (DOE) or experimental designs. In this chapter, emphasis will be provided on the definition and example of experimental design.
Definition of Designed Experiment
In Statistics, the Designed Experiment is referred to the design of an experiment that contains gathered information where a variation might be present or not. It is important to perform under the full control of the researcher. Basically, it is used for controlled experiments. It helps in minimizing the variable effects to increase the reliability of results. Regarding this design, the experimental unit process may include a group of animals, plants, and people.
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