Many manufacturing companies in the United States use molded

Many manufacturing companies in the United States use molded parts as components of a process. Shrinkage is often a major problem. Often, a molded die for a part is built larger than nominal to allow for part shrinkage. In the following experimental situation, a new die is being produced and ultimately it is important to find the proper process settings to minimize shrinkage. In the following experiment, the responses are deviations from nominal (i.e., shrinkage). The factors and levels are as follows: Since the number of factors is relatively large (i.e., 4 factors), you\'ve decided to take only one observation for each design setting (i.e., single replicate). The data follows: The purpose of the experiment is to determine what factors (and/or interactions) influence shrinkage. Past history of your manufacturing process indicates the third-order interactions (e.g. ACD, BCD, etc) and the fourth-order interaction (i.e., ABCD) are negligible. (a) First, show your ANOVA using Minitab [Minitab version]. Note that you can still see sums of squares in your Minitab output but not F values because the DFerror = 0. (b) Using the sums of squares in part (a), manually develop the ANOVA (SS, MS, and F values) by combining the error tem with the negligible interaction effects [Pencil version]. Which factors and/or interactions are significant? [Pencil version]

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 Many manufacturing companies in the United States use molded parts as components of a process. Shrinkage is often a major problem. Often, a molded die for a pa

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