Directions: Diversity among individuals, as well as cultures, provides a challenge for nurses when it comes to delivering meaningful health promotion and illness prevention-based education. How do teaching principles, varied learning styles (for both nurses and patients), and teaching methodologies impact the approach to education? How do health care providers overcome differing points of view regarding health promotion and disease prevention? Provide an example. Use at least one reference. MAT 510 – Homework Assignment Homework Assignment 5 Due in Week 6 and worth 30 points The data in below table lists country code and the order to remittance (OTR) time for hardware / software installations for the last 76 installations (from first to last). OTR is the time it takes from an order being placed until the system is installed and we receive payment (remittance). Because this company does business internationally, it also notes the country of installation using a country code. This code is listed in the first column. Table: Country Code and OTR Cycle Time for Software Systems Installation Country Code Cycle Time Country Code Cycle Time 1 20 5 29 1 24 6 40 1 46 7 157 1 26 8 19 14 38 5 24 1 15 1 81 1 15 7 53 17 23 7 26 1 31 1 28 1 31 1 34 6 64 1 34 5 29 7 50 5 44 1 52 1 32 1 19 1 15 1 44 7 11 14 150 7 14 7 29 1 89 17 23 17 41 6 79 7 41 17 13 1 36 6 32 8 43 7 61 17 21 8 42 8 28 8 46 7 18 7 88 8 47 14 24 6 26 7 7 6 47 1 33 5 9 5 129 7 42 17 41 5 5 17 43 6 27 14 42 6 27 14 42 1 33 7 53 7 44 7 53 1 21 7 48 1 22 5 21 1 50 1 19 Use the date in table above and answer the following questions in the space provided below: 1. Does the OTR time appear to be stable? Why or why not? 2. If you were to use a control chart to evaluate stability, which chart would you use? Why? 3. What can you learn about the distribution of the installation process? 4. Does it appear that the country has an impact on installation time? Why or why not? Type your answers below and submit this file in Week 6 of the online course shell: 1. The OTR time appears to be unstable. When taking in consideration the cycle time, the times are organized according to every respectively country code. The minimum time frame in the time cycle is 5 which is related to the country code 5 and the maximum is 150 which corresponds to the country code 14. By analyzing every country code, the perception of every cycle time frame is different. For example, the country code 1 is 19<x<89. The country code 5 is 5<x<129. The country code 6 is 26<x<79. The country code 7 is 7<x<157. The country code 8 is 19<x<47. The country code 14 is 24<x<150. The country code 17 is 13<x<43. These examples show how the entire time table reflects an unstable OTR time. 2. The control chart that will best evaluate the stability will be the time plot run chart. The time plot allows us to analyze from one point to another point and easily identify each cycle time and also visualize the UCL and LCL according to .

1. Directions: Diversity among individuals, as well as cultures,
provides a challenge for nurses when it comes to delivering
meaningful health promotion and illness prevention-based
education. How do teaching principles, varied learning styles
(for both nurses and patients), and teaching methodologies
impact the approach to education? How do health care providers
overcome differing points of view regarding health promotion
and disease prevention? Provide an example. Use at least one
reference.
MAT 510 – Homework Assignment
Homework Assignment 5
Due in Week 6 and worth 30 points
The data in below table lists country code and the order to
remittance (OTR) time for hardware / software installations for
the last 76 installations (from first to last). OTR is the time it
takes from an order being placed until the system is installed
and we receive payment (remittance). Because this company
does business internationally, it also notes the country of
installation using a country code. This code is listed in the first
column.
Table: Country Code and OTR Cycle Time for Software
Systems Installation
Country Code
Cycle Time
Country Code

2. Cycle Time
1
20
5
29
1
24
6
40
1
46
7
157
1
26
8
19
14
38
5
24
1
15
1
81
1
15
7
53
17
23
7
26
1
31
1

3. 28
1
31
1
34
6
64
1
34
5
29
7
50
5
44
1
52
1
32
1
19
1
15
1
44
7
11
14
150
7
14
7
29
1
89
17

4. 23
17
41
6
79
7
41
17
13
1
36
6
32
8
43
7
61
17
21
8
42
8
28
8
46
7
18
7
88
8
47
14
24
6
26
7

5. 7
6
47
1
33
5
9
5
129
7
42
17
41
5
5
17
43
6
27
14
42
6
27
14
42
1
33
7
53
7
44
7
53
1
21
7

6. 48
1
22
5
21
1
50
1
19
Use the date in table above and answer the following questions
in the space provided below:
1. Does the OTR time appear to be stable? Why or why not?
2. If you were to use a control chart to evaluate stability, which
chart would you use? Why?
3. What can you learn about the distribution of the installation
process?
4. Does it appear that the country has an impact on installation
time? Why or why not?
Type your answers below and submit this file in Week 6 of the
online course shell:
1. The OTR time appears to be unstable. When taking in
consideration the cycle time, the times are organized according
to every respectively country code. The minimum time frame in
the time cycle is 5 which is related to the country code 5 and
the maximum is 150 which corresponds to the country code 14.
By analyzing every country code, the perception of every cycle
time frame is different. For example, the country code 1 is
19<x<89. The country code 5 is 5<x<129. The country code 6 is
26<x<79. The country code 7 is 7<x<157. The country code 8 is
19<x<47. The country code 14 is 24<x<150. The country code
17 is 13<x<43. These examples show how the entire time table
reflects an unstable OTR time.

7. 2. The control chart that will best evaluate the stability will be
the time plot run chart. The time plot allows us to analyze from
one point to another point and easily identify each cycle time
and also visualize the UCL and LCL according to the average
median line and also identify what part of the time cycle spread
above or below the analytical UCL and LCL limit. The ideal
control chart would be a time plot run chart.
3. The table chart may reflect a cause of variation in the
distribution of the installation process as described before.
First, the process starts with the order placement, then the
payment is received and finally the installation occurs.
Therefore, the thing that we can learn about this chart is that it
is unstable which means that either the process will have some
difficulties in the installation to be able to finish the project or
when the payment is supposed to be received before proceeding
into the installation. For example, most of the time in
construction, a payment needs to be received first before the
installation occurs. First of all, a price estimation is given when
clients approved the project, then second, once the design is
ready, the client needs to make a payment of 50% of the total
price and then finally the client needs to pay the other 50% in
order to complete the installation. So we can conclude that the
installation process always goes according to the payment
received which can be a cause of variation if the process
becomes unstable.
4. As the table mentioned, the installation time does not have
any relation with the country code because of the different
variation of each country results and cycle time frame. Each
country code, according to the facts, has a UCL and LCL
different from a country to another. This fact is mainly due to
some data that have not been provided before the analysis. For
example, the country code 1 and the country code 7 are the only
ones that have enough data to see which part of the cycle time is
going beyond the UCL limit and therefore creates a cause of
variation that makes the process unstable.

8. CODE ANALYSIS 17CountsCountry CodeCycle TimeMoving
Range (MR)Avg.UCLLCLCountry CodeAverage Cycle
TimeAvg. Moving
RangeUCLLCL1172329.2964.750.00129.2913.3364.750.002174
11829.2964.750.00317212029.2964.750.0041723229.2964.750.0
0517131029.2964.750.00617412829.2964.750.0071743229.2964
.750.0029.285714285713.333333333329.285714285764.752380
95240
Country Code #17
1 2 3 4 5 6 7 23 41 21 23 13 41
43 29.285714285714285 UCL 1 2 3 4 5
6 7 64.752380952380946 64.752380952380946
64.752380952380946 64.752380952380946
64.752380952380946 64.752380952380946
64.752380952380946 64.752380952380932 LCL 1
2 3 4 5 6 7 0 0 0 0 0 0
0 0 Average 1 2 3 4 5 6 7
29.285714285714285 29.285714285714285
29.285714285714285 29.285714285714285
29.285714285714285 29.285714285714285
29.285714285714285 29.285714285714281
Observation number
OTR (minutes)
CODE ANALYSIS 14CountsCountry CodeCycle TimeMoving
Range (MR)Avg.UCLLCLCountry CodeAverage Cycle
TimeAvg. Moving
RangeUCLLCL1143859.20229.440.00159.2064.00229.440.0021
415011259.20229.440.003142412659.20229.440.00414421859.2
0229.440.0051442059.20229.440.0059.26459.2229.440
Country Code #14
1 2 3 4 5 38 150 24 42 42 59.2 UCL 1
2 3 4 5 229.44 229.44 229.44 229.44
229.44 229.44 LCL 1 2 3 4 5 0 0
0 0 0 0 Average 1 2 3 4 5

9. 59.199999999999996 59.199999999999996
59.199999999999996 59.199999999999996
59.199999999999996 59.2
Observation number
OTR (minutes)
CODE ANALYSIS 8CountsCountry CodeCycle TimeMoving
Range (MR)Avg.UCLLCLCountry CodeAverage Cycle
TimeAvg. Moving
RangeUCLLCL184337.5084.850.00137.5017.8084.850.0028281
537.5084.850.0038471937.5084.850.0048192837.5084.850.0058
422337.5084.850.006846437.5084.850.0037.517.837.584.8480
Country Code #8
1 2 3 4 5 6 43 28 47 19 42 46
37.5 UCL 1 2 3 4 5 6
84.848000000000013 84.848000000000013
84.848000000000013 84.848000000000013
84.848000000000013 84.848000000000013
84.848000000000013 LCL 1 2 3 4 5 6
0 0 0 0 0 0 0 Average 1 2 3
4 5 6 37.5 37.5 37.5 37.5 37.5 37.5 37.5
Observation number
OTR (minutes)
CODE ANALYSIS 7CountsCountry CodeCycle TimeMoving
Range (MR)Avg.UCLLCLCountry CodeAverage Cycle
TimeAvg. Moving
RangeUCLLCL171146.76139.700.00146.7634.94139.700.00271
4346.76139.700.0037412746.76139.700.0047182346.76139.700.
0057422446.76139.700.006744246.76139.700.007715711346.76
139.700.00875310446.76139.700.0097262746.76139.700.00107
502446.76139.700.00117292146.76139.700.00127613246.76139
.700.00137882746.76139.700.0014778146.76139.700.00157534
646.76139.700.0016753046.76139.700.0017748546.76139.700.0
046.764705882434.937546.7647058824139.69845588240
Country Code #7
1 2 3 4 5 6 7 8 9 10 11 12 13
14 15 16 17 11 14 41 18 42 44 157 53

10. 26 50 29 61 88 7 53 53 48
46.764705882352942 UCL 1 2 3 4 5 6
7 8 9 10 11 12 13 14 15 16 17
139.69845588235296 139.69845588235296
139.69845588235296 139.69845588235296
139.69845588235296 139.69845588235296
139.69845588235296 139.69845588235296
139.69845588235296 139.69845588235296
139.69845588235296 139.69845588235296
139.69845588235296 139.69845588235296
139.69845588235296 139.69845588235296
139.69845588235296 139.6984558823529 LCL 1 2
3 4 5 6 7 8 9 10 11 12 13 14
15 16 17 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 Average 1
2 3 4 5 6 7 8 9 10 11 12 13
14 15 16 17 46.764705882352942
46.764705882352942 46.764705882352942
46.764705882352942 46.764705882352942
46.764705882352942 46.764705882352942
46.764705882352942 46.764705882352942
46.764705882352942 46.764705882352942
46.764705882352942 46.764705882352942
46.764705882352942 46.764705882352942
46.764705882352942 46.764705882352942
46.764705882352935
Observation number
OTR (minutes)
CODE ANALYSIS 6CountsCountry CodeCycle TimeMoving
Range (MR)Avg.UCLLCLCountry CodeAverage Cycle
TimeAvg. Moving
RangeUCLLCL166442.75110.390.00142.7525.43110.390.00262
63842.75110.390.0036472142.75110.390.0046272042.75110.39
0.005627042.75110.390.0066401342.75110.390.0076793942.75
110.390.0086324742.75110.390.0042.7525.428571428642.7511
0.390

11. Country Code #6
1 2 3 4 5 6 7 8 64 26 47 27 27
40 79 32 42.75 UCL 1 2 3 4 5 6
7 8 110.39 110.39 110.39 110.39 110.39
110.39 110.39 110.39 110.39 LCL 1 2 3
4 5 6 7 8 0 0 0 0 0 0 0
0 0 Average 1 2 3 4 5 6 7 8
42.75 42.75 42.75 42.75 42.75 42.75
42.75 42.75 42.75
Observation number
OTR (minutes)
CODE ANALYSIS 5CountsCountry CodeCycle TimeMoving
Range (MR)Avg.UCLLCLCountry CodeAverage Cycle
TimeAvg. Moving
RangeUCLLCL152936.25148.730.00136.2542.29148.730.00254
41536.25148.730.003593536.25148.730.00455436.25148.730.00
55292436.25148.730.006524536.25148.730.007512910536.2514
8.730.00852110836.25148.730.0036.2542.285714285736.25148.
730
Country Code #5
1 2 3 4 5 6 7 8 29 44 9 5 29
24 129 21 36.25 UCL 1 2 3 4 5 6
7 8 148.73000000000002 148.73000000000002
148.73000000000002 148.73000000000002
148.73000000000002 148.73000000000002
148.73000000000002 148.73000000000002
148.73000000000002 LCL 1 2 3 4 5 6
7 8 0 0 0 0 0 0 0 0 0
Average 1 2 3 4 5 6 7 8 36.25
36.25 36.25 36.25 36.25 36.25 36.25
36.25 36.25
Observation number
OTR (minutes)
CODE ANALYSIS 1CountsCountry CodeCycle TimeMoving
Range (MR)Avg.UCLLCLCountry CodeAverage Cycle
TimeAvg. Moving

12. RangeUCLLCL112034.0084.210.00134.0018.8884.210.0021244
34.0084.210.0031462234.0084.210.0041262034.0084.210.00511
51134.0084.210.006115034.0084.210.0071311634.0084.210.008
131034.0084.210.009132134.0084.210.00101151734.0084.210.0
0111897434.0084.210.00121365334.0084.210.0013133334.0084
.210.00141211234.0084.210.0015122134.0084.210.0016150283
4.0084.210.00171813134.0084.210.00181285334.0084.210.0019
134634.0084.210.0020134034.0084.210.00211521834.0084.210.
00221193334.0084.210.00231442534.0084.210.00241331134.00
84.210.00251191434.0084.210.0013418.8753484.20750
Country Code #1
1 2 3 4 5 6 7 8 9 10 11 12 13
14 15 16 17 18 19 20 21 22 23 24 25
20 24 46 26 15 15 31 31 32 15 89 36
33 21 22 50 81 28 34 34 52 19 44 33
19 UCL 1 2 3 4 5 6 7 8 9 10
11 12 13 14 15 16 17 18 19 20 21 22
23 24 25 84.20750000000001 84.20750000000001
84.20750000000001 84.20750000000001
84.20750000000001 84.20750000000001
84.20750000000001 84.20750000000001
84.20750000000001 84.20750000000001
84.20750000000001 84.20750000000001
84.20750000000001 84.20750000000001
84.20750000000001 84.20750000000001
84.20750000000001 84.20750000000001
84.20750000000001 84.20750000000001
84.20750000000001 84.20750000000001
84.20750000000001 84.20750000000001
84.20750000000001 LCL 1 2 3 4 5 6 7
8 9 10 11 12 13 14 15 16 17 18 19
20 21 22 23 24 25 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 Average 1 2 3
4 5 6 7 8 9 10 11 12 13 14 15
16 17 18 19 20 21 22 23 24 25 34 34

13. 34 34 34 34 34 34 34 34 34 34 34 34
34 34 34 34 34 34 34 34 34 34 34
Observation number
OTR (minutes)
HistogramCountsCountry CodeCycle
Timebin11200212420BinFrequency31464000412660201451158
04030611510060237131120803813114010039132160120010115
140111189160212136More013133141211512216150171811812
819134201342115222119231442413325119
Histogram
Frequency 0 20 40 60 80 100 120 140 160
More 0 14 30 23 3 3 0 1 2 0
Bin
Frequency
Sheet3Country CodeCycle TimeCountry CodeCycle
Time120529124640146715712681914385241151811157531723
72613112813113466413452975054415213211911514471114150
71472918917231741679741171313663284376117218428288467
18788847142462677647133595129742174155174362714426271
442133753744753121748122521150119