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Table S14-7 Central Composite Design for Example S14-4 Observation Number 1 2 3 4 5 6 7 8 9 10 11 12 13 Time (minutes) 50 60 50 60 48 62 55 55 55 55 55 55 55 Temperature ( F) 160 160 170 170 165 165 158 172 165 165 165 165 165 Coded Variables x1 x2 1 1 1 1 1.414 1.414 0 0 0 0 0 0 0 1 1 1 1 0 0 1.414 1.414 0 0 0 0 0 Conversion (percent) Response 1 65.3 68.2 66 69.8 64.5 69 64 68.5 68.9 69.7 68.5 69.4 69 Viscosity (mPa-sec) Response 2 35 39 36 43 30 44 31 45 37 34 35 36 37 microsoft barcode control excel 2010 Barcode in Microsoft Excel 2007/2010/2013/2016
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Aug 11, 2013 · The add-in changes the selected data to a barcode when applied. ... Windows Me/NT/2000/XP/2003/Vista/Server 2008/7/8 Version 2013 Full ... 14-17 Qi-2 Qi-3 Qi-4 x2 +2 (0, 1.414) ( 1, 1) (1, 1) ( 1.414, 0) 2 (0, 0) ( 1, 1) Qi- 1 (1, 1) (0, 1.414) 2 asp.net create qr code, barcode add in for excel free, qr code generator in asp.net c#, crystal reports code 39, qr code generator in vb.net, pdf417 java library how to create barcodes in excel 2016 FREE Barcode Generator for Excel| POSGuys.com
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Barcode Add in for Word and Excel Free Download - Easy to use barcode add -in for Microsoft Excel and Word. Figure S14-10 Central composite design for Example S14-4. Qi-2 Table S14-9 summarizes the analysis of variance for this model. The response surface is shown graphically in Fig. S14-12. Notice that viscosity increases as both time and temperature increase. As in most response surface problems, the experimenter in this example had con icting objectives regarding the two responses. The objective was to maximize yield, but the acceptable range for viscosity was 38 y2 42. When there are only a few independent variables, an easy way to solve this problem is to overlay the response surfaces to nd the optimum. Figure S14-13 shows the overlay plot of both responses, with the contours y1 69% conversion, y2 38, and y2 42 highlighted. The shaded areas on this plot identify unfeasible combinations of time and temperature. This graph shows that several combinations of time and temperature will be satisfactory. Example S14-4 illustrates the use of a central composite design (CCD) for tting a second-order response surface model. These designs are widely used in practice because they are relatively ef cient with respect to the number of runs required. In general, a CCD in k Table S14-8 Analysis of Variance for the Quadratic Model, Yield Response Source of Variation Model Residual Total Independent Variable Intercept x1 x2 x2 1 x2 2 x1x2 Sum of Squares 45.89 4.30 50.19 Coef cient Estimate 69.100 1.633 1.083 0.969 1.219 0.225 Degrees of Freedom 5 7 12 Standard Error 0.351 0.277 0.277 0.297 0.297 0.392 Mean Square 9.178 0.615 f0 14.93 P-Value 0.0013 14-18 Qi-3 Table S14-9 Analysis of Variance for the First-Order Model, Viscosity Response Source of Variation Model Residual Total Independent Variable Intercept x1 x2 Sum of Squares 195.4 61.5 256.9 Coef cient Estimate 37.08 3.85 3.10 Degrees of Freedom 2 10 12 Degrees of Freedom 1 1 1 Mean Square 97.72 6.15 Standard Error 0.69 0.88 0.88 f0 15.89 P-Value 0.0008 1 172.0 Qi = (Qi-4 64.00 65.00 x2 (temperature) + F(Qi-I, Qi-2, 167.3 70.00 0 165.0 68.00 162.7 67.00 66.00 65.00 64.00 63.00 50.33 52.67 55.00 0 x1 (time) Contour plot (a) 57.33 59.67 62.00 +1 69.00 barcode inventory software excel Download Barcode Add-In for Microsoft Office - Word/Excel - Tec-It
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