An aluminum master alloy manufacturer produces grain refines in ingot form. The company produces the products in four furnaces wherein each furnace is known to have its own unique operating characteristics. However, the process engineers suspect that stirring rate affects the grain size of the product. To verify their hypothesis, they run each furnace at four different stirring rates and the resulting grain size data were recorded. 1) Identify the treatment, blocking factor, experimental units, sampling units, and response variable. 2) Cite two reasons that will make the randomized complete block design (RCBD) applicable to this experiment. 3) State the linear model and define each term in the context of the problem. 4) Give a possible layout for the experiment. Specify only the final layout. Moreover, provide appropriate labels and legends