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Data and calculationsX-Bar and R-Chart This spreadsheet is
designed for up to 50 samples, each of a constant sample size
from 2 to 10. Enter the data ONLY in yellow-shaded cells.Enter
the number of samples in cell E6 and the sample size in cell E7.
Then enter your data in the grid below. Click on sheet tabs for a
display of the control charts. Specification limits may be
entered in cells N7 and N8 for process capability.Number of
samples (<= 50)Sample size (2 - 10)Grand
AverageERROR:#DIV/0!A2D3D4d2Average
RangeERROR:#DIV/0!ERROR:#N/AERROR:#N/AERROR:#N/
AERROR:#N/ADATA1234567891011121314151617181920212
22324252627282930313233343536373839404142434445464748
495012345678910AverageERROR:#N/AERROR:#N/AERROR:#
N/AERROR:#N/AERROR:#N/AERROR:#N/AERROR:#N/AERR
OR:#N/AERROR:#N/AERROR:#N/AERROR:#N/AERROR:#N/
AERROR:#N/AERROR:#N/AERROR:#N/AERROR:#N/AERRO
R:#N/AERROR:#N/AERROR:#N/AERROR:#N/AERROR:#N/A
ERROR:#N/AERROR:#N/AERROR:#N/AERROR:#N/AERROR:
#N/AERROR:#N/AERROR:#N/AERROR:#N/AERROR:#N/AER
ROR:#N/AERROR:#N/AERROR:#N/AERROR:#N/AERROR:#N
/AERROR:#N/AERROR:#N/AERROR:#N/AERROR:#N/AERRO
R:#N/AERROR:#N/AERROR:#N/AERROR:#N/AERROR:#N/A
ERROR:#N/AERROR:#N/AERROR:#N/AERROR:#N/AERROR:
#N/AERROR:#N/ALCLx-
barERROR:#DIV/0!ERROR:#DIV/0!ERROR:#DIV/0!ERROR:#
DIV/0!ERROR:#DIV/0!ERROR:#DIV/0!ERROR:#DIV/0!ERRO
R:#DIV/0!ERROR:#DIV/0!ERROR:#DIV/0!ERROR:#DIV/0!ER
ROR:#DIV/0!ERROR:#DIV/0!ERROR:#DIV/0!ERROR:#DIV/0!
ERROR:#DIV/0!ERROR:#DIV/0!ERROR:#DIV/0!ERROR:#DI
V/0!ERROR:#DIV/0!ERROR:#DIV/0!ERROR:#DIV/0!ERROR:
#DIV/0!ERROR:#DIV/0!ERROR:#DIV/0!ERROR:#DIV/0!ERR
OR:#DIV/0!ERROR:#DIV/0!ERROR:#DIV/0!ERROR:#DIV/0!E
RROR:#DIV/0!ERROR:#DIV/0!ERROR:#DIV/0!ERROR:#DIV/
0!ERROR:#DIV/0!ERROR:#DIV/0!ERROR:#DIV/0!ERROR:#D
IV/0!ERROR:#DIV/0!ERROR:#DIV/0!ERROR:#DIV/0!ERROR
:#DIV/0!ERROR:#DIV/0!ERROR:#DIV/0!ERROR:#DIV/0!ERR
OR:#DIV/0!ERROR:#DIV/0!ERROR:#DIV/0!ERROR:#DIV/0!E
RROR:#DIV/0!CenterERROR:#DIV/0!ERROR:#DIV/0!ERROR:
#DIV/0!ERROR:#DIV/0!ERROR:#DIV/0!ERROR:#DIV/0!ERR
OR:#DIV/0!ERROR:#DIV/0!ERROR:#DIV/0!ERROR:#DIV/0!E
RROR:#DIV/0!ERROR:#DIV/0!ERROR:#DIV/0!ERROR:#DIV/
0!ERROR:#DIV/0!ERROR:#DIV/0!ERROR:#DIV/0!ERROR:#D
IV/0!ERROR:#DIV/0!ERROR:#DIV/0!ERROR:#DIV/0!ERROR
:#DIV/0!ERROR:#DIV/0!ERROR:#DIV/0!ERROR:#DIV/0!ERR
OR:#DIV/0!ERROR:#DIV/0!ERROR:#DIV/0!ERROR:#DIV/0!E
RROR:#DIV/0!ERROR:#DIV/0!ERROR:#DIV/0!ERROR:#DIV/
0!ERROR:#DIV/0!ERROR:#DIV/0!ERROR:#DIV/0!ERROR:#D
IV/0!ERROR:#DIV/0!ERROR:#DIV/0!ERROR:#DIV/0!ERROR
:#DIV/0!ERROR:#DIV/0!ERROR:#DIV/0!ERROR:#DIV/0!ERR
OR:#DIV/0!ERROR:#DIV/0!ERROR:#DIV/0!ERROR:#DIV/0!E
RROR:#DIV/0!ERROR:#DIV/0!UCLx-
barERROR:#DIV/0!ERROR:#DIV/0!ERROR:#DIV/0!ERROR:#
DIV/0!ERROR:#DIV/0!ERROR:#DIV/0!ERROR:#DIV/0!ERRO
R:#DIV/0!ERROR:#DIV/0!ERROR:#DIV/0!ERROR:#DIV/0!ER
ROR:#DIV/0!ERROR:#DIV/0!ERROR:#DIV/0!ERROR:#DIV/0!
ERROR:#DIV/0!ERROR:#DIV/0!ERROR:#DIV/0!ERROR:#DI
V/0!ERROR:#DIV/0!ERROR:#DIV/0!ERROR:#DIV/0!ERROR:
#DIV/0!ERROR:#DIV/0!ERROR:#DIV/0!ERROR:#DIV/0!ERR
OR:#DIV/0!ERROR:#DIV/0!ERROR:#DIV/0!ERROR:#DIV/0!E
RROR:#DIV/0!ERROR:#DIV/0!ERROR:#DIV/0!ERROR:#DIV/
0!ERROR:#DIV/0!ERROR:#DIV/0!ERROR:#DIV/0!ERROR:#D
IV/0!ERROR:#DIV/0!ERROR:#DIV/0!ERROR:#DIV/0!ERROR
:#DIV/0!ERROR:#DIV/0!ERROR:#DIV/0!ERROR:#DIV/0!ERR
OR:#DIV/0!ERROR:#DIV/0!ERROR:#DIV/0!ERROR:#DIV/0!E
RROR:#DIV/0!RangeERROR:#N/AERROR:#N/AERROR:#N/A
ERROR:#N/AERROR:#N/AERROR:#N/AERROR:#N/AERROR:
#N/AERROR:#N/AERROR:#N/AERROR:#N/AERROR:#N/AER
ROR:#N/AERROR:#N/AERROR:#N/AERROR:#N/AERROR:#N
/AERROR:#N/AERROR:#N/AERROR:#N/AERROR:#N/AERRO
R:#N/AERROR:#N/AERROR:#N/AERROR:#N/AERROR:#N/A
ERROR:#N/AERROR:#N/AERROR:#N/AERROR:#N/AERROR:
#N/AERROR:#N/AERROR:#N/AERROR:#N/AERROR:#N/AER
ROR:#N/AERROR:#N/AERROR:#N/AERROR:#N/AERROR:#N
/AERROR:#N/AERROR:#N/AERROR:#N/AERROR:#N/AERRO
R:#N/AERROR:#N/AERROR:#N/AERROR:#N/AERROR:#N/A
ERROR:#N/ALCLrangeERROR:#N/AERROR:#N/AERROR:#N/
AERROR:#N/AERROR:#N/AERROR:#N/AERROR:#N/AERRO
R:#N/AERROR:#N/AERROR:#N/AERROR:#N/AERROR:#N/A
ERROR:#N/AERROR:#N/AERROR:#N/AERROR:#N/AERROR:
#N/AERROR:#N/AERROR:#N/AERROR:#N/AERROR:#N/AER
ROR:#N/AERROR:#N/AERROR:#N/AERROR:#N/AERROR:#N
/AERROR:#N/AERROR:#N/AERROR:#N/AERROR:#N/AERRO
R:#N/AERROR:#N/AERROR:#N/AERROR:#N/AERROR:#N/A
ERROR:#N/AERROR:#N/AERROR:#N/AERROR:#N/AERROR:
#N/AERROR:#N/AERROR:#N/AERROR:#N/AERROR:#N/AER
ROR:#N/AERROR:#N/AERROR:#N/AERROR:#N/AERROR:#N
/AERROR:#N/ACenterERROR:#DIV/0!ERROR:#DIV/0!ERRO
R:#DIV/0!ERROR:#DIV/0!ERROR:#DIV/0!ERROR:#DIV/0!ER
ROR:#DIV/0!ERROR:#DIV/0!ERROR:#DIV/0!ERROR:#DIV/0!
ERROR:#DIV/0!ERROR:#DIV/0!ERROR:#DIV/0!ERROR:#DI
V/0!ERROR:#DIV/0!ERROR:#DIV/0!ERROR:#DIV/0!ERROR:
#DIV/0!ERROR:#DIV/0!ERROR:#DIV/0!ERROR:#DIV/0!ERR
OR:#DIV/0!ERROR:#DIV/0!ERROR:#DIV/0!ERROR:#DIV/0!E
RROR:#DIV/0!ERROR:#DIV/0!ERROR:#DIV/0!ERROR:#DIV/
0!ERROR:#DIV/0!ERROR:#DIV/0!ERROR:#DIV/0!ERROR:#D
IV/0!ERROR:#DIV/0!ERROR:#DIV/0!ERROR:#DIV/0!ERROR
:#DIV/0!ERROR:#DIV/0!ERROR:#DIV/0!ERROR:#DIV/0!ERR
OR:#DIV/0!ERROR:#DIV/0!ERROR:#DIV/0!ERROR:#DIV/0!E
RROR:#DIV/0!ERROR:#DIV/0!ERROR:#DIV/0!ERROR:#DIV/
0!ERROR:#DIV/0!ERROR:#DIV/0!UCLrangeERROR:#N/AER
ROR:#N/AERROR:#N/AERROR:#N/AERROR:#N/AERROR:#N
/AERROR:#N/AERROR:#N/AERROR:#N/AERROR:#N/AERRO
R:#N/AERROR:#N/AERROR:#N/AERROR:#N/AERROR:#N/A
ERROR:#N/AERROR:#N/AERROR:#N/AERROR:#N/AERROR:
#N/AERROR:#N/AERROR:#N/AERROR:#N/AERROR:#N/AER
ROR:#N/AERROR:#N/AERROR:#N/AERROR:#N/AERROR:#N
/AERROR:#N/AERROR:#N/AERROR:#N/AERROR:#N/AERRO
R:#N/AERROR:#N/AERROR:#N/AERROR:#N/AERROR:#N/A
ERROR:#N/AERROR:#N/AERROR:#N/AERROR:#N/AERROR:
#N/AERROR:#N/AERROR:#N/AERROR:#N/AERROR:#N/AER
ROR:#N/AERROR:#N/AERROR:#N/AID NOTE: This has been
provided to assist the student in completing the Week 7 project.
DO NOT MODIFY THIS TABLEControl Chart
FactorsnA2D3D4d2A3B3B421.8803.2671.1282.65903.26731.02
302.5741.6931.95402.56840.72902.2822.0591.62802.26650.577
02.1142.3261.42702.08960.48302.0042.5341.2870.031.9770.41
90.0761.9242.7041.1820.1181.88280.3730.1361.8642.8471.099
0.1851.81590.3370.1841.8162.971.0320.2391.761100.3080.223
1.7773.0780.9750.2841.716
X-Bar Chart
X-bar Chart
Averages#N/A#N/A#N/A#N/A#N/A#N/A#N/A#N/A#N/A#N/A#
N/A#N/A#N/A#N/A#N/A#N/A#N/A#N/A#N/A#N/A#N/A#N/A#
N/A#N/A#N/A#N/A#N/A#N/A#N/A#N/A#N/A#N/A#N/A#N/A#
N/A#N/A#N/A#N/A#N/A#N/A#N/A#N/A#N/A#N/A#N/A#N/A#
N/A#N/A#N/A#N/ALower control
limit0000000000000000000000000000000000000000000000000
0Upper control
limit0000000000000000000000000000000000000000000000000
0Center
line0000000000000000000000000000000000000000000000000
0
Sample number
Averages
R-Chart
R-Chart
Ranges#N/A#N/A#N/A#N/A#N/A#N/A#N/A#N/A#N/A#N/A#N/
A#N/A#N/A#N/A#N/A#N/A#N/A#N/A#N/A#N/A#N/A#N/A#N/
A#N/A#N/A#N/A#N/A#N/A#N/A#N/A#N/A#N/A#N/A#N/A#N/
A#N/A#N/A#N/A#N/A#N/A#N/A#N/A#N/A#N/A#N/A#N/A#N/
A#N/A#N/A#N/ALower control
limit#N/A#N/A#N/A#N/A#N/A#N/A#N/A#N/A#N/A#N/A#N/A
#N/A#N/A#N/A#N/A#N/A#N/A#N/A#N/A#N/A#N/A#N/A#N/A
#N/A#N/A#N/A#N/A#N/A#N/A#N/A#N/A#N/A#N/A#N/A#N/A
#N/A#N/A#N/A#N/A#N/A#N/A#N/A#N/A#N/A#N/A#N/A#N/A
#N/A#N/A#N/AUpper control
limit#N/A#N/A#N/A#N/A#N/A#N/A#N/A#N/A#N/A#N/A#N/A
#N/A#N/A#N/A#N/A#N/A#N/A#N/A#N/A#N/A#N/A#N/A#N/A
#N/A#N/A#N/A#N/A#N/A#N/A#N/A#N/A#N/A#N/A#N/A#N/A
#N/A#N/A#N/A#N/A#N/A#N/A#N/A#N/A#N/A#N/A#N/A#N/A
#N/A#N/A#N/ACenter
line0000000000000000000000000000000000000000000000000
0
Sample number
Ranges
The student will submit the completed case study in a Word
document to the Dropbox by the end of class Week 7. The paper
is worth 80 points.
The students will complete and answer the following questions.
1. Calculate X-bar-bar, R-bar, and associated control limits
using the data in the table above.
2. Create x̄ and R (average and range) control charts from the
data in the table above.
3. Discuss notable out-of-control conditions displayed in the
completed x̄ and R (average and range) control charts. Only
consider points outside the control limits. Do not consider runs,
set of points within certain zones, and so forth.
4. If the conditions you note could be defined as assignable
conditions, and they are removed from the process, then what
will happen to the X-bar and R control chart?
1. Remove the data related to the out-of-control points you
observed from the original data, and recalculate new X-bar-bar,
R-bar, and associated control limits.
2. Create new X-bar and R (average and range) control charts
from your updated data.
5. Discuss how the two sets of control charts are different. What
has changed?
The format of the case study should conform to the Publication
Manual for the American Psychological Association (APA), 6th
edition, for the title page and text. Citations and references are
not required. A basic APA tutorial can be found in the
Webliography, and a paper template can be found in Doc
Sharing. The completed case study will be submitted to your
Dropbox as an MS Word document. All graphics and charts will
be a part of the Word document and submitted as a file.
Documents authored in other applications, such as WordPerfect
or MS Works, will not be accepted.
Week 7 Course Project Part 2 Tutorial
Note: This is a sample outline of how to proceed with this case.
The data here are not the same as the data in your case. DO
NOT USE THESE DATA in your case. This tutorial uses the
template provide in the case. Most find using this template
makes the completion of this case much easier.
Scenario/Summary
1. A transmission manufacturing company has been having
process difficulties at one its assembly stations. Thirty samples
of four gears (n = 4) have been selected from the process and
are provided below.
Observations
Sample
1
2
3
4
1
4.92
4.26
4.94
4.29
2
4.65
5.54
5
5.42
3
5.77
5.26
4.76
4.79
4
6.25
4.88
5.66
4.44
5
5.27
5.41
6.02
4.91
6
5.22
5.38
5.08
4.65
7
5.47
4.68
4.56
4.7
8
5.71
4.54
4.17
4.87
9
5.24
5.58
4.72
5.41
10
4.42
5.18
4.79
4.73
11
5.14
4.26
4.71
5.48
12
4.92
5.78
5.5
5.05
13
5.79
3.83
4.3
4.78
14
4.92
4.8
4.75
5.59
15
5.68
5.74
4.65
5.2
16
5.43
4.81
5.27
4.96
17
4.79
6.04
4.47
5.18
18
4.43
5.08
4.69
6.43
19
5.35
5.95
5.29
5.89
20
5.03
4.66
5.25
4.46
21
5.32
5.09
5.57
5.91
22
4.3
4.47
3.27
4.34
23
6.07
4.97
5.51
5.02
24
5.11
4.9
5.91
4.66
25
4.5
5.24
4.86
4.35
26
4.91
4.79
5.74
5.03
27
4.65
4.71
4.81
5.32
28
4.7
5.5
6.04
4.3
29
5.87
5.3
5.78
5.07
30
4.41
4.75
4.95
5.11
2. Calculate X-bar-bar, R-bar, and associated control limits
using the data in the table above.
3. Create X-bar • R (average and range) control charts from the
data in table above.
4. Discuss notable out-of-control conditions displayed in the
completed X-bar • R (average and range) control charts. Only
consider points outside the control limits. Do not consider runs,
set of points within certain zones, and so on.
5. If the conditions you note could be defined as assignable
conditions and they are removed from the process, what will
happen to the X-bar • R control chart?
(a) Remove the data related to the out-of-control points you
observed from the original data and recalculate a new X-bar-
bar, R-bar, and associated control limits.
(b) Create new X-bar • R (average and range) control charts
from your updated data.
6. Discuss how the two sets of control charts are different. What
has changed?
Problem 1:
Calculate X-bar-bar, R-bar, and associated control limits using
the data in the table above and create X-bar • R (average and
range) control charts.
Solution
:
1. Using the template provided, click on the Data and
Calculation tab. In the upper left corner, enter 30 for the
number of samples and enter 4 for the sample size.
2. Enter the data into the yellow data area. Note: You will have
to rotate your data to fit this table. When you are done you
should have 30 observations (30 columns ), each with four
results.
3. The template does all the calculations and plotting. The
calculations are grouped into two parts, one for Averages (top
group) and one for Ranges (bottom group). The X-bar-bar
number we want in the top set of results titled Center. X-bar-bar
= 5.057. The Center result the bottom set of data is R-bar. R-bar
= 1.069.
3. Click on the X-bar Chart tab to view the X-bar chart; you
should see a chart that looks like the one below. (It’s called an
X-bar chart because you plot averages, or X-bars, on it.) We can
see that one point, Point 22, is below the lower control limit
(LCL).
4. Click on the R-Chart tab to view the R-chart and you should
see a chart that looks like the one below. No points outside the
control limits can be seen.
5. We now have enough information to answer Questions 1, 2,
and 3 in the case study.
Problem 2:
If the conditions you note could be defined as assignable
conditions and they are removed from the process, what will
happen to the X-bar • R control chart? Calculate new X-bar-bar,
R-bar, and associated control limits, and create a new X-bar • R
(average and range) control charts.

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