Compare and contrast type I error and type Il error. Give an example.
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7. Compare and contrast type I error and type Il error. Give an example.
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- Define, compare and contrast type 1 and type 2 error?"The table below is data on telephone usage time by operators to serve customer requests that will be used to explain the use of Xbar and R-chart". Question: a. Create UCL and LCL with Limit Control Factor A2b. Create UCL and LCL with Limit Control Factor D3 and D420. A large national producer of cookies and baked goods uses a c chart to monitor the number of chocolate chips in its chocolate chip cookies. The company would like to have an average of six chips per cookie. One cookie is sampled each hour. The results of the last 12 hours were Number of Chips per Cookie Number of Chips per Cookie Hour Hour 1 7 7 3 2 8 6 3 4 3 3 4 3 10 2 5 5 11 4 4 12 4 a. Assuming a target value of c = 6, what are the upper and the lower control lim- its for a c chart? b. Are the 12 observations consistent with a target value of c = 6? If those 12 ob- servations constitute a baseline, what upper and lower control limits result? (Use the normal approximation for your calculations.)
- Kindly write example and explain how they are used: 5. FISHBONE CHART 6. STATISTICAL PROCESS CHART4. Problem 8.29 The number of imperfections in bond paper produced by a paper mill is observed over a period of several days. Table 8-28 shows the area inspected and the number of imperfections for 25 samples. Construct a control chart for the number of imperfections per square meter. Revise the limits, if necessary, assuming special causes for the out-of-control points. TABLE 8-28 Area Area Sample Inspected (m?) Imperfections Sample Inspected (m²) Imperfections 1 150 6 14 300 8 2 100 8 15 300 12 3 200 5 16 200 6 4 150 4 17 150 4 250 10 18 200 7 6. 100 11 19 150 14 7 150 20 100 4 8 200 5 21 100 8 9 300 10 22 200 10 250 10 23 300 12 11 100 24 250 7 12 200 4 25 200 5 13 250 12S Book Hint Print eferences Problem 13-2 (Algo) A metal fabricator produces connecting rods with an outer diameter that has a 1 ± 0.02 inch specification. A machine operator takes several sample measurements over time and determines the sample mean outer diameter to be 1.004 inches with a standard deviation of 0.006 inch. Calculate the process capability index for this example. (Round your answer to 3 decimal places.) Process capability index
- Question 2: The account receivable department of R&W Company has received complaints from manycustomers about incorrect billing, i.e., the bills do not reflect the materials that arrived at their receivingdocks. The department has decided to implement statistical process control in its billing process. Randomsamples of 60 bills each were taken over 8 days and the items on the bills checked against the bill of ladingsent by the company’s shipping department to determine the number of incorrect bills. The observationis given below: Day 1 2 3 4 5 6 7 8 No. of Incorrect Bills 3 13 5 12 9 1 3 2 a. You want to develop appropriate control chart(s) to check whether the process is in control.i. Find the control limitsii. Plot the control chart(s) in excel.b. Is the process in control? Give reason for your answer.a) Multi-phase sampling with practical example6. List and explain in detail why we include disturbance term or error term in the model?
- Checkout time at a supermarket is monitored using a mean and a range chart. Six samples of n = 20 observations have been obtained and the sample means and ranges computed: Sample Mean Range Sample Mean Range 1 3.06 .42 4 3.13 .46 2 3.15 .50 5 3.06 .46 3 3.11 .41 6 3.09 .45 a. Using the factors in Table 10.3 , determine upper and lower limits for mean and range charts. b. Is the process in control?ABC company, a textile manufacturing company, has recorded defects in their production for a month as shown in the table below. Following Pareto Analysis, which among the type/s of defects should be solved first to solve 80% of the problem? DEFECT FREQ MISPRINTING 55 SHADE VARIATION 38 UNEVEN DYEING 10 DROP STITCHING 5 DIRT/STAINS 21.Use a Venn-diagram to perform a qualitative risk assessment, indicating the likelihood%, category, frequency, severity, and RHC score for climate, pest infestations, soil erosion, market volatility and supply chain management risk of corn. 2.Plot the risks from the Venn diagram on a Risk Heat Map/Chart