The following record taken for a sample of 5 pieces from a process each hour for a period of 24 hours. Determine the trial central line and control limits. If any points are out of control, assume assignable causes and calculate revised limits and central line.
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The following record taken for a sample of 5 pieces from a process each hour for a period of 24 hours. Determine the trial central line and control limits. If any points are out of control, assume assignable causes and calculate revised limits and central line.
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- In a fabric manufacturing factory , the quality control process using control charts from SPC . In an hour there are a total of 5 samples are taken each having 5 observations regarding the thickness of fabric in measured in millimeters . In a particular hour , the sample means (X -bar) are noted to be : 156.46 , 199.62 , 189.31 , 102.22 , and112.09 respectively . In the same sample , the corresponding ranges are : 11.97 , 12.17 , 13.94, 11.8 11.86 , and 11.83 respectively . What are the lower and upper control limits for the R chart ? a . 0, 25.12 b. 0,30.07 c. 0,28.17 d. None is correct e. 0,26.07 f. 0,29.17Set up the appropriate control charts for the 30 days of data. Calculate the control limits for each chart. Plot the data for the 30 days in an Xbar chart and an R chart. Using on the data file provided in the previous step, set up the appropriate control charts for the 30 days of data, calculating the control limits for each chart. What is the upper control limit for the X-bar Chart? Enter your response to three decimal places. You do not need to include the units (minutes), ONLY the numeric value. USE EXCELL DATA7- Re gionShared between the circles (res)and(r=losin@).-
- In a fabric manufacturing factory, the quality control process using control charts from SPC. In an hour there are a total of 5 samples are taken each having 5 observations regarding the thickness of fabric in measured in millimeters. In a particular hour, the sample means (X-bar) are noted to be: 172.11, 219.58, 208.24, 112.44, and 123.30 respectively. In the same sample, the corresponding ranges are: 13.17, 13.38, 15.34, 13.04, and 13.02 respectively What are the lower and upper control limits for the X-bar chart? O a. 157.21, 177.05 O b. 146.01, 157.87 Oc. 159.25, 175.02 O d. None is correct O e. 142.92, 160.66 Of. 143.55, 165.47Set up the appropriate control charts for the 30 days of data. Calculate the control limits for each chart. Plot the data for the 30 days in an Xbar chart and an R chart. Using on the data file provided in the previous step, set up the appropriate control charts for the 30 days of data, calculating the control limits for each chart. What is the upper control limit for the R (range) Chart? Enter your response to three decimal places. You do not need to include the units (minutes), ONLY the numeric value. USE EXCELL DATAA uniform distribution has endpoints 4 and 18. What is the 90th percentile, reporting to one decimal place?
- A sample of 14 participants took part in a hearing experiment. Among other things, the absolute hearing threshold (in decibels) was measured for each participant. The 14 measurements were as follows: 25, 22, 18, 35, 37, 34, 18, 18, 39, 39, 39, 36, 36, 33 Send data to calculator Draw the histogram for these data using an initial class boundary of 17.5 and a class width of 7. Note that you can add or remove classes from the figure. Label each class with its endpoints. Frequency 7+ 6+ 5- 4+ 3+ 0 0 0 0 Absolute hearing threshold (in decibels) 0 17.5 0:00 00:0 XFor this project you have to do the following: 1) list five different things that are normally distributed. Examples that you can't use since I came up with them: Shoe size, middle finger length, oxygen level, electricity bill, wait times on line to pay at target. You must give the website where you found that they are normal for each one of them. 2) measure yourself and use the normal distribution to find out what percent of the population is less than use. What this means is that for one of the five things in 1) you need to make sure that you can find the mean and standard deviation. So an example would be: I found the oxygen level mean and standard deviation to be 98.3 and 1.1. My oxygen level is 98.9. Using the normal distribution calculator I found that 69.3% of the population has a lower measure of that.In a fabric manufacturing factory, the quality control process using control charts from SPC. In an hour there are a total of 5 samples are taken each having 4 observations regarding the thickness of fabric in measured in millimeters. In a particular hour, the sample means (X-bar) are noted to be: 156.46, 199.62, 189.31, 102.22, and112.09 respectively. In the same sample, the corresponding ranges are: 11.97, 12.17, 13.94, 11.86, and 11.83 respectively. What are the lower and upper control limits for the X-bar chart? O a. 145.40, 190.72 O b. 143.55, 165.47 144.77, 159.11 O d. 156.55, 170.47 O e. 142.92, 160.96 Of. None is correct US PAGE NEXT PAGE
- H.w. Find the areas fer the_hollowing regions:See picture of table attached to answer, thank you Garrison Bay is a small bay in Washington state. A popular recreational activity in the bay is clam digging. For several years, this harvest has been monitored and the size distribution of clams recorded. Data for lengths and widths of littleneck clams (Protothaca staminea) were recorded by a method of systematic sampling in a study done by S. Scherba and V. F. Gallucci"The Application of Systematic Sampling to a Study of lnfaunal Variation in a Soft Substrate Intertidal Environment," Fishery Bulletin, Vol. 74, pp. 937-948). The data in Tables 8-4 and 8-5 give lengths and widths for 35 littleneck clams. (a) Use a calculator to compute the sample mean and sample standard deviation for the lengths and widths. Compute the coefficient of variation for each. (b) Compute a 95% confidence interval for the population mean length of all Garrison Bay littleneck clams. (c) How many more littleneck clams would be needed in a…what is the population of focus? a reasearch is being done to determine canopy spread of a type of MATURE tree in a given location. the location has 40,000 of these and the mature trees are estimated at 10feet tall. the research collected spread from 1000 random mature trees.