4. [-/5.5 Points) DETAILS 0/4 Submissions Used MY NOTES ASK YOUR TEACHER PRACTICE ANOTHER A manufacturer of dustless cha

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4. [-/5.5 Points) DETAILS 0/4 Submissions Used MY NOTES ASK YOUR TEACHER PRACTICE ANOTHER A manufacturer of dustless cha

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4 5 5 Points Details 0 4 Submissions Used My Notes Ask Your Teacher Practice Another A Manufacturer Of Dustless Cha 1
4 5 5 Points Details 0 4 Submissions Used My Notes Ask Your Teacher Practice Another A Manufacturer Of Dustless Cha 1 (51.08 KiB) Viewed 43 times
4. [-/5.5 Points) DETAILS 0/4 Submissions Used MY NOTES ASK YOUR TEACHER PRACTICE ANOTHER A manufacturer of dustless chalk instituted a quality control program to monitor chalk density. The sample standard deviations of densities for 24 different subgroups, each consisting of n = 8 chalk specimens, were as follows: This data has been coded so that you may copy and paste it into R with the name k.sdevs. k.sdevs = c(0.201, 0.316, 0.095, 0.187, 0.228, 0.211, 0.323, 0.287, 0.148. 0.212, 0.055, 0.148, 0.275, 0.348, 0.158, 0.214, 0.387, 0.184, 0.153, 0.230, 0.273, 0.116, 0.088, 0.058) mean(k.sdevs) # Construct your own Control Chart. LCL = 0.15 ##### change this value to be the same as your calculated LCL UCL = 0.35 ##### change this value to be the same as your calculated UCL plot(k.sdevs) ablineſh = mean(k.sdevs)) abline(h = LCL, Ity = 2) ablineſh = UCL, Ity = 2) Calculate limits for an Schart. (Round your answers to four decimal places.) S= an = LCL = UCL =
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