Sample Exam 2 Problems (1)

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Sample Problem 1 Table 1 shows the weight (in grams) of parts collected from a production line. In this analysis, 10 sa a. Compute X-Bar and R values for the samples. (2 pts.) b. Determine the control limits for the X-bar and R control charts. (5 pts.) c. Estimate the process mean and standard deviation. (5 pts.) d. Plot the X-bar and R charts. (5 pts.) e. Interpret the X-bar and R charts. (5 pts.) Table 1 Obs 1 Obs 2 Obs 3 Obs 4 Obs 5 1 3.05 3.08 3.07 3.11 3.11 2 3.13 3.07 3.05 3.10 3.10 3 3.06 3.04 3.12 3.11 3.10 4 3.09 3.08 3.09 3.09 3.07 5 3.10 3.06 3.06 3.07 3.08 6 3.08 3.10 3.13 3.03 3.06 7 3.06 3.06 3.08 3.10 3.08 8 3.11 3.08 3.07 3.07 3.07 9 3.09 3.09 3.08 3.07 3.09 10 3.06 3.11 3.07 3.09 3.07 Sample Number
amples of size 5 were collected from the process.
Sample Problem 2 Sum [X-bar(i)] = 1000 for i= 1 to 50 Sum [R(i)]= 72 for i= 1 to 50 a. Compute control limits for the X-bar and R control charts. (6 pts.) b. Assume all points on both control charts fall between the control limits on part (a). What are the nat c. If the specification limits are 19.0 +/- 4.0, what are your conclusions regarding the ability of this proc Samples of n = 4 items each are taken from a process at regular intervals. A normally distributed qua values are calculated for each sample. After 50 samples, we have:
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