= Q. 3. Suppose that a single-sampling plan with n = 50 and c = 1 is being used for receiving inspection where the supplier ships the product in lots of size N= 3,000. If the lot fraction defective is p 0.02. Determine the probability of rejecting the lot.
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- Jason's house was built in 1968. He's looking to sell his house in the next 6 months, but first wants to be sure there are no material defects with the house. What should Jason test for first? O Electrical charge in each outlet. Lead-based paint since his house was built prior to 1978. O Water temperatures in the bathrooms. • Argon gas since his house was built prior to 1988.In a sausage factory, quality managers are studying the compliance of the sausages with the requirements. Any sausage having pin holes, air pockets, deformation or breakage in its casings is counted as defective and total number of such defective sausages alone is noted in each shift. The following data represents the number of defective sausages in samples of 200 sausages taken from 10 shifts. Sample Defectives Percent Defective 1 40 20% 2 28 14% 3 15 8% 4 23 (a) 5 20 10% 6 21 11% 7 19 10% 8 15 8% 9 16 8% 10 17 9% Calculate the value for (a) in the table above. Calculate p-bar based on the samples above. What is the UCL and LCL for a p chart based on the data provided and a desired control level of 99.74%? Use your control limits from part b along with the data provided to draw a p-chart. Is the process in control? Why or why not? If not in control, suggest some potential reasons.14. A manufacturer of photographic film produces an average of 12,000 rolls of vari- ous types of film each day. An inspector samples 25 from each day's production and tests them for accuracy of color reproduction and overall film quality. During 12.3 Control Charts for Attributes: The p Chart 687 23 consecutive production days, the inspector rejected the following numbers of rolls of film: Day Number Rejected Day Number Rejected 1 2 13 1 2 3 3 14 1 15 16 4 1 3 17 4 18 2 3 7 7 19 8 20 21 22 1 1 2 2 10 11 23 1 12 a. Based on these observations, compute three-sigma limits for a p chart. b. Do any of the points fall outside the control limits? If so, recompute the three-sigma limits after eliminating the out-of-control points. mm
- Using Dodge-Romig plans for AOQL of 3% ,determine the AOQ if the process average defective is 0.50% and the lot size is 600 and the pr0portion of defective is 4%We want to determine the AOQ for an acceptance samplingplan when the quality of the incoming lots in percent defectiveis 1.5%, and then again when the incoming percent defective is 5%.T he sample size is 80 units for a lot size of 550 units. Furthermore,Pa at 1.5% defective levels is 0.95. At 5% incoming defective levels,the Pa is found to be 0.5. Determine the average outgoing qualityfor both incoming percent defective levels.When a robot welder is functioning properly the cylinders it produces burst (on average) at 3400 psi, with known standard deviation 100 psi. Determine the 3-Sigma mean control chart limits. Test lot sample sizes are n=4 cylinders randomly selected from the production line. a. Centerline = ____ b. Upper Limit = ____ c. Lower Limit = ____ d. What is the probability that random variation will exceed the ± 3-sigma limits ____. (four decimal places with zero before the decimal)
- Using samples of 200 credit card statements, an auditor found the following: Sample 1 2 3 4 Number with errors 4 2 5 9 a. Determine the fraction defective in each sample. b. If the true fraction defective for this process is unknown, what is your estimate of it? c. What is your estimate of the mean and standard deviation of the sampling distribution of fractions defective for samples of this size? d. What control limits would give an alpha risk of .03 for this process? Page 457 e. What alpha risk would control limits of .047 and .003 provide? f. Using control limits of .047 and .003, is the process in control? g. Suppose that the long-term fraction defective of the process is known to be 2 percent. What are the values of the mean and standard deviation of the sampling distribution? h. Construct a control chart for the process, assuming a fraction defective of 2 percent, using two-sigma control limits. Is the process in control? Can you show me the steps and formulas using excelUsing samples of 200 credit card statements, an auditor found the following:Sample 1 2 3 4Number with errors 4 2 5 9a. Determine the fraction defective in each sample.b. If the true fraction defective for this process is unknown, what is your estimate of it?c. What is your estimate of the mean and standard deviation of the sampling distribution of fractions defective for samples of this size?d. What control limits would give an alpha risk of .03 for this process?e. What alpha risk would control limits of .047 and .003 provide?f. Using control limits of .047 and .003, is the process in control?g. Suppose that the long-term fraction defective of the process is known to be 2 percent. What arethe values of the mean and standard deviation of the sampling distribution?h. Construct a control chart for the process, assuming a fraction defective of 2 percent, using twosigma control limits. Is the process in control?Jamison Kovach Supply Company manufactures paper clips and other office products. Although inexpensive, paper clips have provided the firm with a high margin of profitability. Sample size is 50. Results are given for the last 10 samples. Sample 1 2 3 4 5 6 7 8 9 10Defectives 5 8 3 5 6 5 5 4 1 11 a) Establish the control limits to include of the random variation in defectives. UCLp = [ ? ] (enter your response as a number between 0 and 1, rounded to three decimal places). LCLp = [ ? ] (enter your response as a number between 0 and 1, rounded to three decimal places). c) If the sample size were 100 instead, how would your limits and conclusions change? UCLp = [ ? ] (enter your response as a number between 0 and 1, rounded to three decimal places). LCLp = [ ? ] (enter your response as a number between 0 and 1, rounded to three…
- A company employs the following sampling plan: It draws a sample of 10 percentof the lot being inspected. If 1 percent or less of the sample is defective, the lot isaccepted. Otherwise the lot is rejected.b. If a lot contains 1,000 items of which 20 are defective, what is the probabilitythat the lot is accepted?) A product is supplied in lots of size N = 6,000. The AQL has been specified at 2.5%. Find the normal, tightened, and reduced single-sampling plans from MIL-STD 105E, assuming general inspection level58. A maker of personal computers, Noname, purchases 64K DRAM chips from two dif- ferent manufacturers, A and B. Noname uses the following sampling plan: A sample of 10 percent of the chips is drawn and the lot is rejected if two or more defective chips are discovered. The two manufacturers supply the chips in lots of 100 and 1,000, respectively. a. For each manufacturer, determine the true proportion of defectives in the lot that would result in 90 percent of the lots being accepted. You may use the Poisson ap- proximation for your calculations. b. Would you say that this plan is fair? 59. Graph the AOQ curves for manufacturers A and B mentioned in Problem 58. Estimate the values of the AOQL in each case.