The Canine Gourmet Company produces delicious dog treats for canines with discriminating tastes. Management wants the box-filling line to be set so that the process average weight per packet is 45 grams. To make sure that the process is in control, an inspector at the end of the filling line periodically selects a random box of 10 packets and weighs each packet. When the process is in control, the range in the weight of each sample has averaged 6 grams. a. Design an R- and an e-chart for this process. b. The results from the last five samples of 10 packets are

An X-bar chart has the following control limits UCL=251.5 and LCL=248.5. The sample size is n=4, the process mean is equal to 250 and the process standard deviation is sigma = 1.0. What is the Cp value ? 0.500 not enough information 0.316 0.408 0.447 0.353

At Quick Car​ Wash, the wash process is advertised to take less than 7 minutes.​ Consequently, management has set a target average of 390 seconds for the wash process. Suppose the average range for a sample of 9 cars is 8 seconds. Use the accompanying table to establish control limits for sample means and ranges for the car wash process.   LOADING... Click the icon to view the table of factors for calculating​ three-sigma limits for the x overbarx​-chart and​ R-chart.   Factors for calculating​ three-sigma limits for the x overbarx​-chart and​ R-chart   Size of Sample​ (n) Factor for UCL and LCL for x overbarx​-chart ​(Upper A 2A2​) Factor for LCL for​ R-Chart ​(Upper D 3D3​) Factor for UCL for​ R-Chart ​(Upper D 4D4​) 2 1.8801.880 00 3.2673.267 3 1.0231.023 00 2.5752.575 4 0.7290.729 00 2.2822.282 5 0.5770.577 00 2.1152.115 6 0.4830.483 00 2.0042.004 7 0.4190.419 0.0760.076 1.9241.924 8 0.3730.373…

At Quick Car​ Wash, the wash process is advertised to take less than 6 minutes.​ Consequently, management has set a target average of 320 seconds for the wash process. Suppose the average range for a sample of 10 cars is 10 seconds. Use the accompanying table to establish control limits for sample means and ranges for the car wash process.

The output of a certain integrated-circuit productionline is checked daily by inspecting a sample of 100 units.Over a long period of time, the process has maintaineda yield of 80 percent, that is, a proportion defective of 20 percent, and the variation of the proportion defec-tive from day to day is measured by a standard devi-ation of 0.04. If on a certain day the sample contains 38 defectives, find the mean of the posterior distribu-tion of as an estimate of that day’s proportion defec-tive. Assume that the prior distribution of Θ is a beta distribution.

The Canine Gourmet Company produces delicious dog treats for canines with discriminating tastes. Management wants the box-filling line to be set so that the process average weight per packet is 45 grams. To make sure that the process is in control, an inspector at the end of the filling line periodically selects a random box of 10 packets and weighs each packet. When the process is in control, the range in the weight of each sample has averaged 5 grams. Click the icon to view the table of factors for calculating three-sigma limits for the x-chart and R-chart. a. Design an R- and an x-chart for this process. The UCLR equals 8.89 grams and the LCLR equals 1.12 grams. (Enter your response rounded to two decimal places.) The UCL equals 46.54 grams and the LCL equals 43.46 grams. (Enter your responses rounded to two decimal places.) b. The results from the last 5 samples of 10 packets are shown below. Is the process in control? Explain. The process variability is in Sample 1 2 3 4 5…

In process industry during a daily production run, a total of five (05) samples are collected with four (04) observations within each sample. The sample means (X-bar) are; 14.09, 13.94,16.86, 20.00, and 16.64 respectively. The corresponding ranges are; 9.90, 7.73, 4.41, 7.56, and 3.49 respectively. The lower and upper control limits of the x-bar chart are respectively O a. 11.44, 20.66 O b. 11.29, 20.65 C. None is correct Od. 11.47, 21.14 e. 11.47, 16.55

9. A pizza delivery service wants to track their delivery times. They take eight samples of four deliveries and record the following data. What are the upper and lower control limits of their R-chart?  (Note:  Although it looks similar, the data in the table below is different from the data in the table relating to the UCL and LCL for the X-bar chart.)   Sample # 1 2 3 4 5 6 7 8 Item #1 21.1 20.2 24.1 22.6 21.2 20.0 22.0 20.2 Item #2 21.7 20.6 21.0 22.1 24.1 24.2 24.6 24.9 Item #3 23.5 24.9 23.2 23.0 20.6 22.8 23.4 22.8 Item #4 20.0 23.5 24.8 25.0 20.7 23.2 23.3 24.5   Group of answer choices 7.0, 0.5 9.3, 0.0 8.5 0.0 10.1, 0.0