An automatic cookie machine at ACM, Inc , must deposit a specified amount of 25 0 3 grams (g) of dough for each cookie on a conveyor belt It costs $0 03 to scrap a defective cookie A sample of 50 cookies was drawn from the production process, which has been determined to be approximately normally distributed, and the results, in grams, can be found in the table below 25 7660 23 5730 25 0420 24 7770 25 1670 24 1200 24 6690 24 8250 24 7630 25 5640 24 4550 25 0160 25 8750 25 9860 24 3680 25 2890 24 8810 25 3010 24 9140 25 5930 25 5250 25 5160 25 8910 24 5410 25 5090 24 5230 25 2620 24 8680 25 0670 24 8110 26 0340 25 1240 25 3810 24 6470 24 7310 25 1860 25 4380 25 1980 25 6620 25 3290 24 6960 24 7520 24 6040 24 8460 25 4070 25 0290 25 2180 25 4550 25 2270 25 8350 Calculate the value of k in the Taguchi loss function Determine how much the process varies from the target specification, based on the mean difference and standard deviation of the sample results Calculate the expected loss per unit

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Question: An automatic cookie machine at ACM, Inc., must deposit a specified amount of 25 0.3 grams (g) of dough for each cookie on a conveyor

An automatic cookie machine at ACM, Inc., must deposit a specified amount of 25 0.3 grams (g) of dough for each cookie on a conveyor belt. It costs $0.03 to scrap a defective cookie. A sample of 50 cookies was drawn from the production process, which has been determined to be approximately normally distributed, and the results, in grams, can be found in the table below.

25.7660	23.5730	25.0420	24.7770	25.1670	24.1200	24.6690	24.8250	24.7630	25.5640
24.4550	25.0160	25.8750	25.9860	24.3680	25.2890	24.8810	25.3010	24.9140	25.5930
25.5250	25.5160	25.8910	24.5410	25.5090	24.5230	25.2620	24.8680	25.0670	24.8110
26.0340	25.1240	25.3810	24.6470	24.7310	25.1860	25.4380	25.1980	25.6620	25.3290
24.6960	24.7520	24.6040	24.8460	25.4070	25.0290	25.2180	25.4550	25.2270	25.8350

Calculate the value of k in the Taguchi loss function.
Determine how much the process varies from the target specification, based on the mean difference and standard deviation of the sample results. Calculate the expected loss per unit.

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