Question: Refer to Exercise 13.21 and the hourly data collected by BPI consulting. Recall that the data are saved in the file. In Exercise 13.21 BPI
Refer to Exercise 13.21 and the hourly data collected by BPI consulting. Recall that the data are saved in the file.
In Exercise 13.21
BPI Consulting, a leading provider of statistical process control software and training in the United States, alerted its clients to problems with "chunky" data. BPI Consulting identified "chunky" data as data that result when the range between possible values of the variable of interest becomes too large. This typically occurs when the data are rounded. For example, a company monitoring the time it takes shipments to arrive from a given supplier rounded off the data to the nearest day. To show the effect of chunky data on a control chart, BPI Consulting considered a process with a quality characteristic that averages about 100. Data on the quality characteristic for a random sample of three observations collected each hour for 40 consecutive hours are given in the table below.
.png)
a. Construct an R-chart for the data. Is the process variation in control?
b. Round each measurement in the data set to a whole number, like in Exercise 13.21b. Form an R-chart for the rounded data. What do you observe?
Quality Levels Quality Levels Sample Sample 21 99.43 99.63 100.08 99.69 99.73 99.81 98.67 99.47 100.20 99.93 99.97 100,22 100.58 99.40 101.08 99.28 99.48 99.10 22 23 24 25 100.04 99.71 100.40 101.08 99.84 99.93 99.98 99.50 100.25 101.18 100.79 99.56 99.06 99.61 99.85 99.81 99.78 99.53 99.78 100.10 99.27 99.76 100.83 101.02 26 27 28 29 30 99.24 99.90 100.03 99.41 99.18 99.39 100.84 100.47 100.48 99.31 100.15 101.08 99.65 100.05 100.12 10 100.20 100.24 99.85 11 12 13 14 15 16 99.12 99.74 100.04 101.58 100.54 100.53 101.51 100.52 100.50 100.27 100.77 100.48 100.43 100.67 100.53 101.08 100.54 99.89 31 32 33 34 35 36 100.24 101.01 100.71 99.08 99.73 99.61 100.30 100.02 99.31 100.38 100.76 100.37 100.48 99.96 99.72 99.98 100.30 99.07 100.25 99.58 101.27 100.49 100.16 100.86 100.44 100.53 99.84 99.45 99.41 99.27 17 18 19 20 99.63 100.77 99.86 99.29 99.49 99.37 99.89 100.75 100.73 100.54 101.51 100.54 37 38 39 40 1234 56 inora
Step by Step Solution
3.36 Rating (183 Votes )
There are 3 Steps involved in it
a The values of R for the samples are From Table IX Appendix D with n 3 D 4 2574 and D 3 0 Upper control limit RD 4 8065 2574 2076 Since D 3 0 the low... View full answer
Get step-by-step solutions from verified subject matter experts
Document Format (1 attachment)
1346-M-S-S-D(5369).docx
120 KBs Word File
Study Help