Question: QUESTION 1: QUESTION 2: 1 2 3 4 5 7 8 9 10 Sample Defectives |n 6 5 4 7 2 5 12 5 4

QUESTION 1:QUESTION 1: QUESTION 2: 1 2 3 4 5 7 8 9 10 Sample

QUESTION 2:

QUESTION 1: QUESTION 2: 1 2 3 4 5 7 8 9 10 SampleQUESTION 1: QUESTION 2: 1 2 3 4 5 7 8 9 10 Sample

1 2 3 4 5 7 8 9 10 Sample Defectives |n 6 5 4 7 2 5 12 5 4 2 12 The type of control chart that is best to monitor this process is p-chart . a) Establish the control limits to include 99.73% of the random variation in defectives. UCLp = .312 (enter your response as a number between 0 and 1, rounded to three decimal places). LCLp = 0 (enter your response as a number between 0 and 1, rounded to three decimal places). b) Has the process been in control? Based on the developed control limits, the number of defectives has been IN-CONTROL c) If the sample size were 20 instead, how would your limits and conclusions change? UCLP = 0.594 (enter your response as a number between 0 and 1, rounded to three decimal places). LCLP = (enter your response as a number between 0 and 1, rounded to three decimal places). x Data Table Sample (week) 1 2 Late Flights 4 Late Flights 2 2 3 11 13 O O WN 4 2 5 6 2 7 7 Sample (week) 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 20 8 Na ww OOVNANIN AANO-W - A N - AN - 9 10 3 10 11 12 13 14 3 2 15 7 One of New England Air's top competitive priorities is on-time arrivals. Quality VP Clair Bond decided to personally monitor New England Air's performance. Each week for the past 30 weeks, Bond checked a random sample of 100 flight arrivals for on-time performance. Click the icon to view the table that contains the number of flights that did not meet New England Air's definition of on time. a) The overall fraction of late flights is decimal places.) (enter your response as a real number rounded to two

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