Perform Grubb's Test and make a conclusion to accept or reject the outlier .
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- In order to find out the defect rate of the manufactured components a random sample of n = 150 was selected. Eleven specimens were found to be defective. Estimate the proportion of defective components in the population. Round your answer to three decimal places (e.g. 98.765). iPart 1: Recorded Weight of 20 pieces 1-peso coins using an Analytical Balance Specimen No. Weight, grams Specimen No. Weight, grams 1 6.0005 11 5.9999 2 6.1510 12 5.6999 3 5.8889 13 6.2000 4 5.8999 14 6.1002 5 5.9801 15 5.8899 6 5.9889 16 5.9786 7 6.0028 17 6.0105 8 5.8988 18 5.5989 9 5.1002 19 6.0006 10 6.1234 20 5.9987 Part 2: Statistical Analyses of data from part 1 Parameters Mean Median Range AD of 8th lowest data SD RSD Valuesnùmber of defective units : 9. An inspection of 10 samples of size 400 each from 10 lots revealed the following 17, 15, 14, 26, 9, 4, 19, 12, 9, 15.
- What sample size would be required for the width of a99% CI to be at most .05 irrespective of the value of pˆ?using MIL STD 105E identify the smaple size when the lot size is 250 units, the inspection is normal general lever ll. acceptance quality level is 2.5%The x-bar and R values for 20 samples of size five are shown in the following table. Specifications on this product have been established as 0.550 ± 0.02.Sample NumberXbarR10.5490.002520.5480.002130.5480.002340.5510.002950.5530.001860.5520.001770.550.00280.5510.002490.5530.0022100.5560.0028110.5470.002120.5450.003130.5490.0031140.5520.0022150.550.0023160.5480.0021170.5560.0019180.5460.0018190.550.0021200.5510.0022Construct a modified control chart with three sigma limits, assuming that if the true process fraction non conforming is as large as 1%, the process is unacceptable.Suppose that if the true process fraction nonconforming is as large as 1%, we would like an acceptance control chart to detect this out of control condition with probability 0.90. Construct this acceptance control chart and compare it to the chart obtained in part (a).
- 1. Big Blossom Greenhouse was commissioned to develop an extra large rose for the Rose Bowl Parade. A random sample of blossoms from Hybrid A bushes yielded the following diameters (in inches) for mature peak blooms.Determine the sample size if o = 6, population mean = 25, sample nean = 23 and the desired degree of precision is 99 per cent. Sta olds21. Annual Precipitation The average annual precipitation for a large Midwest city is 30.85 inches with a standard deviation of 3.6 inches. Assume the variable is normally distributed. a. Find the probability that a randomly selected month will have less than 30 inches. b. Find the probability that the mean of a random selection of 32 months will have a mean less than 30 inches.
- Using MIL STD 105 E, identify the sample size when the lot size is 6500 units, the inspection is normal general level I. Acceptance quality level is 6.5%."a. Explain what it would mean to make a type I error. Choose the correct answer below. A. A type I error would occur if in fact μ>0.56ppm, but the results of the sampling lead to the conclusion that μ=0.56 ppm. B.A type I error would occur if in fact μ>0.56 ppm, but the results of the sampling fail to lead to the conclusion that μ=0.56 ppm. C.A type I error would occur if in fact μ=0.56 ppm, but the results of the sampling lead to the conclusion that μ>0.56 ppm. D. A type I error would occur if in fact μ=0.56ppm, but the results of the sampling fail to lead to the conclusion that μ>0.56 ppm. Part 2 b. Explain what it would mean to make a type II error. Choose the correct answer below. A. A type II error would occur if in fact μ>0.56ppm, but the results of the sampling fail to lead to the conclusion that μ>0.56 ppm. B. A type II error would occur if in fact μ>0.56 ppm, but the results of the sampling lead to the conclusion that μ>0.56…Assume that the weights of quarters are normally distributed with a mean 5.67 gram and a standard deviation 0.070 gram. What percentage of legal quarters weight less than 5.48g?