The process is stable B The process is operating within the specifications The process is out of control
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- A quality control manager has concerns about the occurrence of defects on acomponent assembly used in the fabrication of an aircraft wing. The manufacturing plantoperates with three shifts, and three particular types of defects are of concern. The followingtable shows the count of defects of each type across the shifts from a random sample of 300assemblies with defects from a week of production.Test whether the types of defects are independent of the shifts. Perform the test on the 5%level. What is your conclusion?A quality control manager has concerns about the occurrence of defects on acomponent assembly used in the fabrication of an aircraft wing. The manufacturing plantoperates with three shifts, and three particular types of defects are of concern. The followingtable shows the count of defects of each type across the shifts from a random sample of 300assemblies with defects from a week of production. Test whether the types of defects are independent of the shifts. Perform the test on the 5%level. What is your conclusion?A milk processing company test implemented a plant-wide energy conservation program with a goal of reducing the mean daily consumption rate of at least 1,000 kWh from its normal operating plants. The conservation program was implemented in Plant B. The following data was collected on weekdays where consumption level is at its peak. Were the conservation efforts effective in achieving its goal? Compare the results with Plant A’s data where the program is not implemented using α= 0.05. Assume that the population variances are not equal.
- A milk processing company test implemented a plant-wide energy conservation program with a goal of reducing the mean daily consumption rate of at least 1,000 kWh from its normal operating plants. The conservation program was implemented in Plant B. The following data was collected on weekdays where consumption level is at its peak. Were the conservation efforts effective in achieving its goal? Compare the results with Plant A’s data where the program is not implemented using � = 0.05. Assume that the population variances are not equal.Plant A (kWh) Plant B (kWh)3,952.80 4,036.003,276.00 4,036.003,636.00 4,036.003,636.00 3,264.003,636.00 864.003,636.00 1,368.004,068.00 2,196.004,068.00 4,392.004,362.00 5,220.004,362.00 3,600.004,362.00 3,960.004,362.00 4,428.003,882.00 756.003,808.80 612.003,808.80 684.00Consider an automatic production line that delivers computer components for inspection. According to the system’s specification, the interarrival time of the delivery follows a continuous uniform distribution between 5 to 15 minutes. The average inspection time of one component is 10 minutes. A simulation model was developed to replicate the system and eight samples were collected with the following data: Sample # 1 2 3 4 5 6 7 8 Interarrival time 14.7 14.8 6.8 11.6 6.3 13.3 7.9 10.3 Inspection time 8.3 5.7 4.0 9.0 10.6 5.9 8.5 7.0 Apply the Kolmogorov-Smirnov test, at the 1% level of significance, to test the hypothesis that the simulated interarrival times comply with the system’s specification. Conduct a statistical test to determine if the simulated inspection times are consistent with the system behavior at the 5% level of significance. Give another set of inspection times, 9.1, 12.7, 8.7, 10.8, 11.6, and 6.8,…The quality control department of a fabric finishing plant is studying the effect of several factors on the dyeing of cotton-synthetic cloth used to manufacture men’s shirts. Two operators, two cycle times and two temperatures were selected and three small specimen of cloth were dyed under each set of conditions. The scores of each fabric are given below. Derive the expected mean squares and test statistics to test for the interaction and main effects.
- The control limits for a 3-sigma c chart with n=2 when the process average is equal to 8 nonconformities for one inspection unit are Select one: a. LCL=0 UCL=16.5 b. LCL=-0.5 UCL=16.5 c. LCL=4 UCL=28 d. LCL=0 UCL=28 e. LCL=-4 UCL=281. An experiment was installed to test 4 rates of Zn on cabbage. The experiment was laid out in arandomized complete block design with 3 replicates. The yields are given in the table below. Treatment kg Zn/ha Block I II III 0 3.5 3.8 3.7 5 3.9 4.2 4.4 10 4 4.4 4.8 15 4.3 4.2 4.9 a) Calculate the analysis of variance manually for this data set and perform the appropriate Ftests. State the relevant hypotheses in terms of the parameters under test. Show allsolutions. Interpret the results of the tests in the context of the problem.b) Plot the treatment means with treatments at the x-axis. Describe the relationship.c) Calculate the relative efficiency of the RCBD over CRD. Interpret the results. How manyreplications should a CRD experiment have to be as efficient as the…The nation of Waipo has recently created an eco- nomic development plan that includes expanded exports and imports. It has completed a series of ex- tensive studies of the world economy and Waipo’s economic capability, following Waipo’s extensive 10-year educational-enhancement program. The re- sulting model indicates that in the next year exports will be normally distributed with a mean of 100 and a variance of 900 (in billions of Waipo yuan). In addi- tion, imports are expected to be normally distributed with a mean of 105 and a variance of 625 in the same units. The correlation between exports and imports is expected to be +0.70. Define the trade balance as ex- ports minus imports. Determine the mean and variance of the trade balance (exports minus imports) if the model parameters given above are true. What is the probability that the trade balance will be positive?
- The following graphs are the results of the Statistical Process Control (SPC). Are they classified as in-control or not?NutritionResearchers compared protein intake among threegroups of postmenopausal women: (1) women eating astandard American diet (STD), (2) women eating a lactoovo-vegetarian diet (LAC), and (3) women eating a strictvegetarian diet (VEG). The mean ± 1 sd for protein intake(mg) is presented in Table 12.29. *12.1 Perform a statistical procedure to comparethe means of the three groups using the critical-valuemethod.*12.2 What is the p-value from the test performed inProblem 12.1? I just want 12.2 solved.1. I am interested in determining if my revolutionary strength training program is effective. I randomly select 20 students from my SCM 200 class. I randomly place 10 into a control group (conventional strength training program) and 10 into the experimental group (the revolutionary accelerated hypertrophy/strength program). I measure them before and after the program on their 1R.M for bench press and want to determine if the change in lbs is significantly greater in the experimental group compared to the control group. Results were found to be 10lbs (mean change) for the control and 20lbs (mean change) for the experimental. Standard deviations for the control and experimental were found to be 3.5 and 2.5 respectively. Can I make the claim that my program appears to be effective at increasing strength? Using a TI 83 calculator