I will rate 4. Suppose that a quality characteristic is normally distributed with specification limits (1.64,...
is PART B a trick question? i dont think that i can find the fraction defective without n, right? 4. Suppose that a quality characteristic is normally distributed with specification limits (1.64, 1.84). The process standard deviation is 0.1. Suppose that the process mean is 1.71 (a) Determine the natural tolerance limits. (6 pts) (b) Calculate the fraction defective. (6 pts) (c) Calculate the appropriate process capability ratio. (8 pts)
Suppose that material hardness is normally distributed with a mean of 52 and a standard deviation of 1. Specification limits for hardness are from 45 to 55. What is the fraction defective? What value for the process mean will minimize the fraction defective? When the fraction defective is 0.0027 this corresponds to what PPM?
An chart with three-sigma limits has parameters as follows: Suppose the process quality characteristic being controlled is normally distributed with a true mean of 98 and a standard deviation of 8. What is the probability that the control chart would exhibit lack of control by at least the third point plotted?
A manufacturing process is in-control and centered. A critical quality characteristic is normally distributed with a mean of 20 and a standard deviation of 2. The DPMO of the process is 318. (1) What is the upper specification limit for the characteristic? (2) The daily production rate is 1000 parts. How many parts per day would you expect to have a dimension less than 21 but greater the 19.5? (3) A 3-sigma Xbar chart based on a sample of size...
Please answer to all parts of the problems. Do not answer if you do not get the right answer. Thank you! Control charts are to be kept on the thickness measurements for a process that rolls 10-gage copper sheets. The current specification in the sheets is 0.1360+0.0020 inch. After collecting 25 samples of n 5 measurements at approximately half-hour intervals, the data were used to determine Σ L:3.421 inches and R.-0.044 inches, with i1 to 25. Assume that the quality...
Samples ofn-6 items each are taken from a manufacturing process at regular intervals. A normally distributed quality characteristic is measured, and X and S values are calculated for each sample. After 50 samples, we have 50 50 X, = 1000 S,-75 and a) Compute the control limits for the Xand S control charts. b) Assume that all points on both control charts plot within the control limits computed in part (a). What are the natural tolerance limits of the process?...
04)- 244+3-15 marás) Control charts for X and R are mairnt S marks) Contr ol charts for X and R are maintained for quality characteristic. The and R are computed for each sample. After 30 samples, the following a computed: 6690 R-1030 a- What are the tria Ilimits for the R chart ? tb) Assuming that the R chart is in control, what are the trial limits for the X char? Estimate the process mean and standard devintion. (d- Ifthe...
A control chart is used for monitoring a process meanl (X) that is normally distributed with a mean of μ and a standard deviation of σχ , and the sample size is n-5. А 3-sigma limit (μ ±30% ) is used as control limits. Two decision rules are given here. Rule 1: If one or more of the next seven samples yield values of the sample average that fall outside the control limits, conclude that the process is out of...
Two decision rules are given here. Assume they apply to a normally distributed quality characteristic, the control chart has three-sigma control limits, and the sample size is n=5. Rule 1: If one or more of the next seven samples yield values of the sample average that fall outside the control limits, conclude that the process is out of control. Rule 2: If all of the next seven sample averages fall on the same side of the center line, conclude that...
answer these 4 please, thank you so much 46 Which of the following is NOT a core idea of total quality management? A) employee empowerment B) leadership involvement C) cost reduction D) continuous improvement 47) W. Edwards Deming's Fourteen Points for Management include: A) use statistical methods to determine the workers responsible for poor quality. B) break down barriers between departments. C) the customer is always right, so design your system to please them. D) plan your work and work...