the tickeness of silicon water is an important quality charateristic in microelectronic circuits . the specifications for the thickness are 45.00+/-0.02 mm . if a process capabilit ratio cp of at least 1,5 were desired for the center process . what will be the control limits for the X-R charts to use with subgroup size of eight
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the tickeness of silicon water is an important quality charateristic in microelectronic circuits . the specifications for the thickness are 45.00+/-0.02 mm . if a process capabilit ratio cp of at least 1,5 were desired for the center process . what will be the control limits for the X-R charts to use with subgroup size of eight
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- A piece is to be cut to the dimensions and tolerances shown in Figure 29-14. Determine the maximum permissible value of length A. All dimensions are in inches.Read the metric vernier depth gage measurement for this setting.The following data are given for a biogas digester suitable for the output of six cows. The volume of digester is 8.4 m, the volume of gas holder is 2.3 m and the retention time is 26 days. Find the height of gas holder height of gas holder = cm
- Weotherwise is a magazine published by the American Mctcorological Socicty. One issue gives a rating system used to classify Nor'easter storms that froquently hit New England and can cause much damage near the occan. A severe storm has an average peak wave height of g = 16.4 feet for waves hitting the shore. Suppose that a Nor'easter is in progress at the severe storm class rating. Peak wave heights are usually measured from land (using binoculars) oft tixed cament plers. Suppose that a reading of 35 waves showed an zverage wave height of x- 17.3 foet. Pravlous studies of severe storms indilcate that o- 3.5 foet. Doas this information suggost that the storm is (perhaps tamporarily) Increasing above the severe rating? Usa a - 0.01. (a) What is the levcl of significance? .01 State the null and altarnate hypothesas. O Ho: H - 16.4 t; H 10.4 t; H: - 16.4 t O Ho: H 10.4 ft; H: - 10.4 ft O Ho: H - 10.1 ft; H:+ 10.1 t * Ho: H = 10.1 ft; H:> 16.1 ft (b) What sampling distrihutian will you…In your Capstone software create a table with the following variables: Position x, m: 1, 2, 3, 4 Coefficient of friction μ: 0.36 Velocity v, m/s: v=V 2. u.9.8.xThe desired distance for Flextronchip customers is 0.4 mm between two adjacent pins. Any deviation from this value causes interference. The process of handling complaints costs the firm at approximately $30.00 per chip. The engineers of the firm expect the average customer will be likely to complain when the distance is off target by at least 0.0002 mm. At the factory, the adjustment can be made at a cost of $1.40, which includes the labor to make the adjustment and additional testing. Required: 1. What is the value of k, the cost coefficient, in the Taguchi quality loss function (QLF) based on the above data? 2. Based on a Taguchi quality loss function (QLF), what should the tolerance be before an adjustment is made at the factory? 3. Based on your answer to (requirement 2) above, what are the specification limits (upper and lower) for the production of the product in question? Complete this question by entering your answers in the tabs below. Required 2 Required 3 What is the value…
- Assembled workstations are subjected to a final inspection for the surface defects. In the last 25 observations the allowable number of defects is 7. What is the Warning Limit?Wolf packs tend to be large extended family groups that have a well-defined hunting territory. Wolves not in the pack are driven out of the territory or killed. In ecologically similar regions, is the size of an extended wolf pack related to size of hunting region? Using radio collars on wolves, the size of the hunting region can be estimated for a given pack of wolves. Let x represent the number of wolves in an extended pack and y represent the size of the hunting region in km2/1000. The following data are representative of one of the national parks. x wolves 29 37 22 61 94 y km2/1000 7.35 12.18 8.15 15.39 16.81 (d) Find the predicted size of the hunting region for an extended pack of 78 wolves. (Use 2 decimal places.) km2/1000 (f) Use a 1% level of significance to test the claim that β > 0. (Use 2 decimal places.) t critical tWolf packs tend to be large extended family groups that have a well-defined hunting territory. Wolves not in the pack are driven out of the territory or killed. In ecologically similar regions, is the size of an extended wolf pack related to size of hunting region? Using radio collars on wolves, the size of the hunting region can be estimated for a given pack of wolves. Let x represent the number of wolves in an extended pack and y represent the size of the hunting region in km2/1000. The following data are representative of one of the national parks. x wolves 23 36 22 64 95 y km2/1000 7.32 12.13 8.12 15.39 16.85 (a) Verify that Σx = 240, Σy = 59.81, Σx2 = 15,430, Σy2 = 787.4283, Σxy = 3369.39, and r ≈ 0.9397. Σx Σy Σx2 Σy2 Σxy r (b) Use a 1% level of significance to test the claim ρ > 0. (Use 2 decimal places.) t critical t (c) Verify that Se ≈ 1.6756, a ≈ 5.8422, and b ≈ 0.12750. Se a b
- Wolf packs tend to be large extended family groups that have a well-defined hunting territory. Wolves not in the pack are driven out of the territory or killed. In ecologically similar regions, is the size of an extended wolf pack related to size of hunting region? Using radio collars on wolves, the size of the hunting region can be estimated for a given pack of wolves. Let x represent the number of wolves in an extended pack and y represent the size of the hunting region in km?/1000. The following data are representative of one of the national parks. x wolves y km²/1000 28 34 22 67 91 7.34 12.18 8.14 15.35 16.82 (a) Verify that Ex = 242, Ey = 59.83, Ex? Ex £y Ex2 - 15,194, Ey2 = 787.0225, Exy = 3357.79, and r- 0.9287. Exy (b) Use a 1% level of significance to test the claim p > 0. (Use 2 decimal places.) critical t Conclusion O Reject the null hypothesis, there is sufficient evidence that p > 0. O Reject the null hypothesis, there is insufficient evidence that p > 0. Fail to reject…Wolf packs tend to be large extended family groups that have a well-defined hunting territory. Wolves not in the pack are driven out of the territory or killed. In ecologically similar regions, is the size of an extended wolf pack related to size of hunting region? Using radio collars on wolves, the size of the hunting region can be estimated for a given pack of wolves. Let x represent the number of wolves in an extended pack and y represent the size of the hunting region in km2/1000. The following data are representative of one of the national parks. x wolves 29 37 22 61 94 y km2/1000 7.35 12.18 8.15 15.39 16.81 Find the predicted size of the hunting region for an extended pack of 78 wolves. (Use 2 decimal places.) km2/1000 (e) Find an 85% confidence interval for your prediction of part (d). (Use 1 decimal place.) lower limit km2/1000 upper limit km2/1000 (f) Use a 1% level of significance to test the claim that β > 0. (Use 2 decimal places.) t critical t…Wolf packs tend to be large extended family groups that have a well-defined hunting territory. Wolves not in the pack are driven out of the territory or killed. In ecologically similar regions, is the size of an extended wolf pack related to size of hunting region? Using radio collars on wolves, the size of the hunting region can be estimated for a given pack of wolves. Let x represent the number of wolves in an extended pack and y represent the size of the hunting region in km2/1000. The following data are representative of one of the national parks. x wolves 21 36 22 68 97 y km2/1000 7.38 12.13 8.18 15.35 16.81 (a) Find Σx, Σy, Σx2, Σy2, Σxy, and r. (Round r to three decimal places.) Σx = Σy = Σx2 = Σy2 = Σxy = r = (b) Use a 1% level of significance to test the claim ρ > 0. (Round your answers to two decimal places.) t = critical t = Conclusion Reject the null hypothesis, there is sufficient evidence that ρ > 0.Reject…