A Factorial Experiment based on a Level 2 Design with 4 factors would require 16 runs to fully assess the interactions.
With Measurement System Analysis we are concerned with two issues that impact the potential variability of the data. They are _____________________.
A Belt working in a supply chain environment has to make a decision to change suppliers of critical raw materials for a new product upgrade. The purchasing manager is depending on the Belt's effort requiring that the average cost of an internal critical raw material component be less than or equal to $4,200 in order to stay within budget. Using a sample of 35 first article components, a Mean of the new product upgrade price of $4,060, and a Standard Deviation of $98 was estimated. In order to increase the Long Term Z value to 4, what is the maximum long term variation in pricing the Belt can accept for his upgraded critical raw material component?
How many experimental runs exist in a Full Factorial and fully randomized design for 5 factors with 2 replicates for the Corner Points and no Center Points? The factors in the experiment are only at 2-levels.
What conclusion is most correct about the Experimental Design shown here with the response in the far right column?

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