Jim Outfitters makes custom fancy shirts for cowboys. The shirts could be flawed in various ways, including flaws in the weave or color of the fabric, loose buttons or decorations, wrong dimensions, and uneven stitches. Jim randomly examined 10 shirts, with the following results:
The standard deviation of the number of defects is 3.559, and the mean is 6. So, lets look at how many shirts fall within 1, 2, and 3 standard deviations of the mean.
One standard deviation; 6 ± 3.559 = (2.441, 9.559): 6 shirts
Two standard deviations; 6 ± 7.118 = (-1.118, 13.118): 6 + 4 = 10 shirts
Three ...
... a filling process that has an overall average of 715 cm3 The average range R is 6 cm3 For a sample size of 10 the control limits for 3-sigma x-bar chart are: ...
... Construct the 3-sigma x-chart and the 3-sigma R-shart for ... The process is in control with respect to the sample range. ritical factor that must be controlled. ...
... p-chart , X-bar control chart , R-chart: 3-sigma upper control limit an X-bar control chart , upper limit for an R-chart, lower and upper control limits for a p ...
... Sigma level: 3 The 3 sigma control limits are. ... Since all the sample points lie inside the 3 sigma control limits the process is in control. Range chart. ...
... in highlighted cells and the two new tabs "Histogram" (showing parts are produced skewed on the high-side of the 3-sigma limits) and "Control Chart", which is ...
... a) Construct a 3 sigma p- chart using this information ... The control limits are [0, 0.1266] For the next 3 days, the proportion defectives are 0.12, 0.05 and 0.13 ...
