(a) Estimate control limits (CL), upper control limits (UCL) and lower control limits (LCL). (b) Establish a control chart. (c) Is the process under control?
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pls answer b with some explanation tq
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- If you have a sample size of 50 and you are comparing 3 groups at the .05 level- what is the critical F value?Q2 Based on your graphical and numerical analysis in Q1, which method - 1.5(IQR) or 3(SD) is more appropriate to remove outliers from the departure delay variable? Remove outliers for departure delay with the appropriate method. Store this new dataset as 'no_out_dd. You'll want to use this new dataset without outliers for use in Q3. What proportion of rows remains following the removal process multiple times. Can you please show how to do this in R Studio?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=28
- over several weeks of normal, or in-control, operation, 20 samples of 150 packageseach of synthetic-gut tennis strings were tested for breaking strength. A total of 141packages of the 3000 tested failed to conform to the manufacturer’s specifications.a. what is an estimate of the process proportion defective when the system is in control?b. Compute the upper and lower control limits for a p chart.c. with the results of part (b), what conclusion should be made about the process if testson a new sample of 150 packages find 12 defective? Do there appear to be assignablecauses in this situation?d. Compute the upper and lower control limits for an np chart.e. Answer part (c) using the results of part (d)over several weeks of normal, or in-control, operation, 20 samples of 150 packageseach of synthetic-gut tennis strings were tested for breaking strength. A total of 141packages of the 3000 tested failed to conform to the manufacturer’s specifications.a. what is an estimate of the process proportion defective when the system is in control?b. Compute the upper and lower control limits for a p chart.c. with the results of part (b), what conclusion should be made about the process if testson a new sample of 150 packages find 12 defective? Do there appear to be assignablecauses in this situation?d. Compute the upper and lower control limits for an np chart.e. Answer part (c) using the results of part (d).f. which control chart would be preferred in this situation? Explain.over several weeks of normal, or in-control, operation, 20 samples of 150 packageseach of synthetic-gut tennis strings were tested for breaking strength. A total of 141packages of the 3000 tested failed to conform to the manufacturer’s specifications.a. what is an estimate of the process proportion defective when the system is in control?b. Compute the upper and lower control limits for a p chart.c. with the results of part (b), what conclusion should be made about the process if testson a new sample of 150 packages find 12 defective? Do there appear to be assignablecauses in this situation?
- 2.) Listed below are the number of Atlantic hurricanes occurring in each year. The data are listed inchronological order starting with the year 2000.8 9 4 7 9 15 5 6 8 3 12 7 10 2 6 4 d.) Are there any values that would be considered “significantly” or “unusually” high or low? Why?e.) Based on the definition of outlier involving the interquartile range, are there any outliers in thesample? Why?A potato chip company produces a large number of potato chip bags each day and wants to investigate whether a new packaging machine will lower the proportion of bags that are damaged. The company selected a random sample of 150 bags from the old machine and found that 15 percent of the bags were damaged, then selected a random sample of 200 bags from the new machine and found that 8 percent were damaged. Let pˆOp^O represent the sample proportion of bags packaged on the old machine that are damaged, pˆNp^N represent the sample proportion of bags packaged on the new machine that are damaged, pˆCp^C represent the combined proportion of damaged bags from both machines, and nOnO and nNnN represent the respective sample sizes for the old machine and new machine. Have the conditions for statistical inference for testing a difference in population proportions been met? No, the condition for independence has not been met, because random samples were not selected. A No, the…1.State why the median is reliable to report as the middle value of the data than the mean when there are outliers in the data. 2.comment on the kurtosis coefficient 3.010 and 6.342
- A student decides to spin a dime and determine the proportion of times it lands on heads. The student spins the dime 25 times and records that it lands on heads 17 times. Let p = the true proportion of times the dime would land on heads when spun. Under the assumption that the true proportion is 0.5, 100 simulated proportions for samples of size 25 is shown in the dotplot. Using the dotplot, is there evidence that the proportion of times a spun dime lands on heads is greater than 0.5? A) Yes, a proportion of 0.68 proves that the true proportion of heads is greater than 0.5. B) Yes, a proportion of 0.68 only occurred once out of 100 simulated proportions; therefore, there is sufficient evidence that the true proportion of heads is greater than 0.5. C) No, a proportion of 0.68 is only 0.18 more than 0.5; therefore, there is insufficient evidence that the true proportion of heads is greater than 0.5. D) No, a proportion of 0.68 or more occurred 7 times out of 100 simulated…An investigation was conducted to determine the source of reduction in yield of a certainchemical product. It was thought that four different brands of a material may result indifferent yield reductions. The investigator assigned each brand of material randomly to 3of the 12 batches of production of the chemical product.The following are the results of the percent of yield reductions:Percent of yield reductionBrand 1 Brand 2 Brand 3 Brand 425.6 25.2 20.8 31.624.3 28.6 26.7 29.827.9 24.7 22.2 34.3 Assume that all assumptions to perform an ANOVA test are satisfied.a) Test the hypothesis that the four brands have the same percent of yield reduction atthe significance level, α = 0.05. Interpret the results of the hypothesis testing.b) Determine a 95% interval estimate for the percent of mean yield reduction of Brand3.c) Determine a 99% interval estimate for the difference in the percent of mean yieldreduction between Brands 4 and 3.The following table presents the number of active breweries for samples of states located east and west of the Mississippi River: Part:0/3Part 1 of 3 (a) Compute the sample standard devlation for the number of breweries east of the Mississippl River. Round the answer to one decimal place as needed The sample standard devlation for the number of brewenes east of the Mississippi River is