An artide in the IEEE Transactions on Components, Hybrids, and Manufacturing Technology (Vol. 15, No. 2, 1992, pp. 146-153) describes an experiment in which the contact resistance of a brake-only relay was studied for three different materials (all were silver-based alloys). The data are as follows: ... Contact Resistance Alloy 95 97 99 98 99 99 99 94 95 98 1 104 102 102 105s 99 102 111 103 100 103 2 3 119 130 132 136 141 172 145 150 144 135 Calculate the test statistic fo (2 decimal places). fo = Blank 1 Blank 1 Add your answer
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- An artide in the IEEE Transactions on Components, Hybrids, and Manufacturing Technology (Vol. 15, No. 2, 1992, pp. 146-153) describes an experiment in which the contact resistance of a brake-only relay was studied for three different materials (all were silver-based alloys). The data are as follows: Alloy 1 95 97 99 98 99 99 99 94 95 98 104 102 102 105 99 102 111 103 100 103 119 130 132 136 141 172 145 150 144 135 Contact Resistance Calculate the test statistic f, (2 decimal places). fo = Blank 1An article in the IEEE Transactions on Components, Hybrids, and Manufacturing Technology (Vol. 15, No. 2, 1992, pp. 146-153) describes an experiment in which the contact resistance of a brake-only relay was studied for three different materials (all were silver-based alloys). The data are as follows: Alloy 1 95 97 99 98 99 99 99 94 95 98 2 104 102 102 105 99 102 111 103 100 103 119 130 132 136 141 172 145 150 144 135 Contact Resistance Calculate the test statistic fo (2 decimal places).Three different design configurations are being considered for a particular component. There are four possible failure modes for the component. An engineer obtained the following data on number of failures in each mode for each of the three configurations. Does the configuration appear to have an effect on type of failure? Failure Mode 1 2 3 4 1 22 44 17 9 Configuration 2 4 19 7 12 3 10 31 14 5 State the appropriate hypotheses. H0: pij = pi· · p·j i = 1, 2, 3; j = 1, 2, 3, 4 Ha: at least one pij ≠ pi· · p·j H0: pij ≠ pi· · p·j i = 1, 2, 3; j = 1, 2, 3, 4 Ha: at least one pij = pi· · p·j H0: pij ≠ pi· p·j i = 1, 2, 3; j = 1, 2, 3, 4 Ha: at least one pij = pi· p·j H0: pij = pi· p·j i = 1, 2, 3; j = 1, 2, 3, 4 Ha: at least one pij ≠ pi· p·j Compute the test statistic value. (Round your answer to three decimal places.)?2 =
- 1. An article in the ASCE Journal of Energy Engineering (1999, Vol. 125, pp. 59-75) describes a study of the thermal inertia properties of autoclaved aerated concrete used as a building material. Five samples of the material were tested in a structure, and the average interior temperatures (•C) reported were as follows: 23.01, 22.22, 22.04, 22.62, and 22.59. 1.1. Test the hypotheses H0 : µ =22.5 versus H1 :µ + 22.5, using a=0.05. Find the P-value 1.2. Explain how the question could be answered by constructing a two-sided confidence interval on the mean interior temperature. Find the confidence interval.An article in the IEEE Transactions on Components, Hybrids, and Manufacturing Technology (1992, Vol. 15) describes an experiment for investigating a method for aligning optical chips onto circuit boards. The method involves placing solder bumps onto the bottom of the chip. The experiment used three solder bump sizes and three alignment methods. The response variable is alignment accuracy (in micrometers). The data are as follows: Solder Bump Size Alignment Method (diameter in um) 2 75 4.61 1.58 1.00 4.50 1.42 0.96 130 2.37 1.70 0.78 2.47 1.75 0.96 260 4.90 2.72 2.41 4.50 2.61 2.50 (a) Is there any indication that either solder bump size or alignment method affects the alignment accuracy? Is there any evidence of interaction between these factors? Use a = 0.05. The solder bump size the alignment accuracy, the alignment method the alignment accuracy, the interaction between solder size and alignment method significant in affecting alignment accuracy. (b) What recommendations would you…An article in the ACI Materials Journal (Vol. 84, 1987, pp. 213-216) describes several experiments investigating the rodding of concrete to remove trapped air. A 3-inch x 6-inch cylinder was used, and the number of times this rod was used is the design variable. The resulting compressive strength of the concrete specimen is the response. The data are shown in the following table. ... Compressive Strength (psi) Rodding Level Observations 10 1530 1530 1440 15 1610 1650 1500 20 1560 1730 1530 25 1500 1490 1510 Calculate the test statistic fo. Input answer up to 2 decimal places. Test Statisticf =1.68 Blank 1 1.68
- An article in the ACI Materials Journal (Vol. 84, 1987, pp. 213-216) describes several experiments investigating the rodding of concrete to remove trapped air. A 3-inch x 6-inch cylinder was used, and the number of times this rod was used is the design variable. The resulting compressive strength of the concrete specimen is the response. The data are shown in the following table. ... Compressive Strength (psi) Rodding Level Observations 10 1530 1530 1440 15 1610 1650 1500 20 1560 1730 1530 25 1500 1490 1510 Calculate the test statistic fo- Input answer up to 2 decimal places. TestStatisticf. Blank 1An investigation was conducted into the dust content in the flue gases of two types of solid-fuel boilers. Thirteen boilers of type A and nine boilers of type B were used under identical fueling and extraction conditions. Over a similar period, the quantities of dust were deposited in similar traps inserted in each of the twenty-two flues. Presented below are the collected dust content (in grams) given the source broiler type. Type A 73.1 56.4 82.1 67.2 78.7 75.1 48.0 53.3 55.5 61.5 60.6 55.2 63.1 Type B 53.0 39.3 55.8 58.8 41.2 66.6 46.0 56.4 58.9 questions are in inserted imageNeed help with parts d and k. Data: TSERofReturn AcmeRofReturn 1 0.42478 -0.48194 2 1.61213 -0.73284 3 -0.98754 -2.28445 4 -0.30013 -1.55312 5 1.41215 0.68674 6 0.68725 -1.31132 7 0.03733 -0.83295 8 -1.72494 -1.71975 9 0.33729 1.14443 10 -1.07502 -1.79885 11 0.86222 0.89736 12 1.17468 1.66664 13 -0.38761 -0.02658 14 1.66212 0.9086 15 1.09969 1.99935 16 -0.06266 0.46148 17 -1.96241 -1.41004 18 -1.32499 -0.38086 19 -1.51247 -1.90904 20 0.74974 0.91873 21 -0.38761 -0.49714 22 -0.17514 -1.31385 23 -3.41222 -1.15681 24 -0.01266 2.11718 25 0.16231 1.78766 26 -0.82506 1.30344 27 -0.41261 -0.43377 28 0.2623 -1.70274 29 -1.16251 0.4692 30 -1.05003 0.27671 31 -0.65008 -0.63741 32 0.62475 2.9895 33 -0.68758 1.3613 34…
- In an article in IEEE Transactions on Instrumentation and Measurement (2001, Vol. 50, pp. 986-990), researchers reported on a study of the effects of reducing current draw in a magnetic core by electronic means. They measured the current in a magnetic winding with and without the electronics in a paired experiment. Data for the case without electronics are provided in the Table. Current Without Electronics (mA) Supply Voltage 0.66 7.32 1.32 12.22 1.98 16.34 2.64 23.66 3.3 28.06 3.96 33.39 4.62 34.12 3.28 39.21 5.94 44.21 6.6 47.48 (a) Fit a regression line to predict current without electronics to supply voltage. Is there a significant regression at a = 0.05? What is the P-value? (b) Estimate the correlation coefficient. (c) Test the hypothesis that p = 0 against the alternative p=0 with a = 0.05. What is the P-value?In an article in IEEE Transactions on Instrumentation and Measurement (2001, Vol. 50, pp. 986-990), researchers reported on a study of the effects of reducing current draw in a magnetic core by electronic means. They measured the current in a magnetic winding with and without the electronics in a paired experiment. Data for the case without electronics are provided in the Table. Current Without Electronics (mA) Supply Voltage 0.66 7.32 1.32 12.22 1.98 16.34 2.64 23.66 3.3 28.06 3.96 33.39 4.62 34.12 3.28 39.21 5.94 44.21 6.6 47.48 (a) Estimate the correlation coefficient. (b) Test the hypothesis that p = 0 against the alternative p=0 with a = 0.05. What is the P-value? (c) Compute a 95% confidence interval for the correlation coefficient.In the vehicle speed test, the results were given in the table below: Find: 1. skew modulus 2. kurtosis coefficient Speed range (km/hr 34-35.9 36-37.9 38-39.9 40-41.9 42-43.9 Frequency (fi) 4 6 4 10 7 Speed range (km/hr 44-45.9 46-47.9 48-49.9 50-51.9 52-53.9 Frequency (fi) 22 8 18 17 16 Speed range (km/hr 54-55.9 56-57.9 58-59.9 60-61.9 62-63.9 Frequency (fi) 13 8 6 4 3