tailieunhanh - Business process improvement_11

Tham khảo tài liệu 'business process improvement_11', kỹ thuật - công nghệ, điện - điện tử phục vụ nhu cầu học tập, nghiên cứu và làm việc hiệu quả | . How can I account for nested variation restricted randomization Partial ANOVA table A batch process leads to a different experiment -also a strip-plot This also a split-plot design The ANOVA table for this experiment would look in part as follows Source DF Replication 1 Concentration 1 Error Whole plot Rep Conc 1 Temperature 1 Rep Temp 1 Current 1 Rep Current 1 Temp Conc 1 Rep Temp Conc 1 Temp Current 1 Rep Temp Current 1 Current Conc 1 Rep Current Conc 1 Temp Current Conc 1 Error Subplot Rep Temp Current Conc 1 The first three sources are from the whole-plot level while the next 12 are from the subplot portion. A normal probability plot of the 12 subplot term estimates could be used to look for significant terms. Consider running the experiment under the second condition listed above . a batch process for which four copper strips are placed in the solution at one time. A specified level of current can be applied to an individual strip within the solution. The same 16 treatment combinations a replicated 23 factorial are run as were run under the first scenario. However the way in which the experiment is performed would be different. There are four treatment combinations of solution temperature and solution concentration -1 -1 -1 1 1 -1 1 1 . The experimenter randomly chooses one of these four treatments to set up first. Four copper strips are placed in the solution. Two of the four strips are randomly assigned to the low current level. The remaining two strips are assigned to the high current level. The plating is performed and the response is measured. A second treatment combination of temperature and concentration is chosen and the same procedure is followed. This is done for all four temperature concentration combinations. Running the experiment in this way also results in a split-plot design in which the whole-plot factors are now solution concentration and solution temperature and the subplot factor is current. http div898 handbook .

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