If all sample averages on an -chart fall within
Question # 00342262
Posted By:
Updated on: 07/20/2016 07:18 AM Due on: 07/20/2016

QUESTION 1
QUESTION 2
QUESTION 3
QUESTION 4
QUESTION 5
QUESTION 6
QUESTION 7
QUESTION 8
QUESTION 9
QUESTION 10
QUESTION 11
QUESTION 12
QUESTION 13
QUESTION 14
QUESTION 15
QUESTION 16
QUESTION 17
QUESTION 18
QUESTION 19
QUESTION 20
QUESTION 21
QUESTION 22
QUESTION 23
QUESTION 24
QUESTION 25
- If all sample averages on an -chart fall within the control limits, all output will be conforming.
True
False
4 points
QUESTION 2
- Process control and process capability are synonymous terms.
True
False
4 points
QUESTION 3
- When monitoring attribute data using a p-chart, if the subgroup size is not constant, variable control limits can be established.
True
False
4 points
QUESTION 4
- If the mean contaminant count per squared millimeter is 5.8, then the center line for a c-chart that plots the contaminant count per squared centimeter is 580.
True
False
4 points
QUESTION 5
- When constructing control limits, if special causes are found, they are eliminated and the control limits recomputed because the special cause points do not represent a state of statistical control.
True
False
4 points
QUESTION 6
- The s-chart is used to monitor variation.
True
False
4 points
QUESTION 7
- An s-chart utilizes the range instead of the standard deviation utilized in R-charts.
True
False
4 points
QUESTION 8
- Control charts for individual variables data require calculation of a moving range.
True
False
4 points
QUESTION 9
- Subgroup samples should be chosen so that, if assignable causes are present, the chance of observing differences between samples is low, while the chance of observing differences within a sample is high.
True
False
4 points
QUESTION 10
- For variables data, sample size can be calculated by specifying the desired minimum shift in the process mean to be detected.
True
False
4 points
QUESTION 11
- A process is deemed “out of control” when
common causes are present. special causes are present. data varies around the mean. defective rate is high.
4 points
QUESTION 12
- _____________ developed the first control charts.
G. Taguchi Walter Shewhart W. Edwards Deming Dr. Joseph Moses Juran
4 points
QUESTION 13
- A manufacturing company producing circuit boards will randomly sample 60 circuit boards per day and record the number of defects contained in each of these boards. Management wants to plot the number of defects in all the circuit boards sampled. What control chart is most appropriate?
-chart p-chart np-chart c-chart
4 points
QUESTION 14
- A delivery company defines a “defective” as a package delivered later than the promised delivery time. Management wants to monitor the proportion of packages delivered per week beyond the promised delivery time. Management is willing to sample 150 packages per week and determine which of these packages are “defective.” What control chart is most appropriate?
-chart R-chart p-chart c-chart
4 points
QUESTION 15
- Determine the sample standard deviation for the following sample data: 7, 9, 2, 0, 1 and 5.
3.3466 3.2660 2.9933 3.5777
4 points
QUESTION 16
- Suppose that a substrate is built from layers so that its thickness is the sum of the thicknesses of each layer. The thickness of each layer has the following means and standard deviations. What is the probability that the substrate thickness exceeds 110 units?
Layer, Mean, Standard deviation
1, 20, 4
2, 30, 8
3, 50, 100.325 0.227 0.478 0.536
4 points
QUESTION 17
- In the application of an xbar control chart with the usual 3-sigma limits, if the subgroup sample size is increased
the Type I errors decrease, and the Type II errors increase. the Type I errors remain the same and the Type II errors increase. the Type I errors remain the same and the Type II errors decrease. both the Type I and Type II errors decrease.
4 points
QUESTION 18
- For an xbar and R control chart use the following summary statistics: = 10.0, =2.3, and n=4 to answer the following questions.
(Note: Use the above scenario and data to answer questions 18-20.)
Calculate an unbiased estimate of .2.4965 1.117 2.039 2.883
4 points
QUESTION 19
- (Use scenario from question 18 above.)
Calculate the upper control limit for an xbar control chart.16.9 13.35 14.234 11.677
4 points
QUESTION 20
- (Use scenario from question 18 above.)
Calculate the upper control limit for an R control chart.5.249 9.146 14.234 9.26
4 points
QUESTION 21
- For an xbar and s control charts given the following summary statistics: =10.0, =2.3, and n = 4. Calculate an unbiased estimate of .
2.039 1.117 2.497 2.883
4 points
QUESTION 22
- Assume gage = 2.497. The upper specification limit USL=16 and lower specification limit LSL=4. Using k=6, what is the precision-to-tolerance (P/T) ratio?
1.0195 0.585 1.2485 1.4415
4 points
QUESTION 23
- Twenty-five samples, of size 30 were collected and a total of 48 nonconforming items were found. The three sigma upper control limit for a p-chart is
0.198 0.091 0.211 0.833
4 points
QUESTION 24
- Given that process=4.7 and gage=3.4. What is the total standard deviation in data from this process?
3.245 8.1 5.801 33.65
4 points
QUESTION 25
- Given an 3-sigma xbar chart for n=4 with UCL=16 and LCL=4, the estimated process standard deviation is
4 2 16 8

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Rating:
5/
Solution: If all sample averages on an -chart fall within