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Author

*The author of this computation has been verified*

R Software Module

rwasp_smp.wasp

Title produced by software

Standard Deviation-Mean Plot

Date of computation

Mon, 29 Nov 2010 11:10:57 +0000

Cite this page as follows

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2010/Nov/29/t12910289629q624f23b5il3hc.htm/, Retrieved Mon, 29 Apr 2024 13:49:49 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=102835, Retrieved Mon, 29 Apr 2024 13:49:49 +0000

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Original text written by user:

IsPrivate?

No (this computation is public)

User-defined keywords

Estimated Impact

363

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)

-     [Univariate Data Series] [web server] [2010-10-19 15:51:23] [b98453cac15ba1066b407e146608df68]
- RMP   [Variance Reduction Matrix] [Pageviews] [2010-11-29 10:12:20] [b98453cac15ba1066b407e146608df68]
- RM        [Standard Deviation-Mean Plot] [Pageviews] [2010-11-29 11:10:57] [d76b387543b13b5e3afd8ff9e5fdc89f] [Current]
- RMP         [ARIMA Forecasting] [Pageviews] [2010-11-29 21:25:44] [b98453cac15ba1066b407e146608df68] 
-   PD          [ARIMA Forecasting] [] [2010-12-07 10:19:03] [2db311435ed525bc1ed0ddec922afb8f] 
- R PD          [ARIMA Forecasting] [WS 9 - ARIMA Fore...] [2011-12-06 17:07:51] [59e9c089bdd600b584669dddc48fbcc3] 
-   P           [ARIMA Forecasting] [Voorspelling met ...] [2012-11-29 15:52:07] [74be16979710d4c4e7c6647856088456] 
-    D            [ARIMA Forecasting] [Voorspelling met ...] [2012-11-29 15:59:18] [74be16979710d4c4e7c6647856088456] 
-   P               [ARIMA Forecasting] [Voorspelling met ...] [2012-12-16 10:39:55] [74be16979710d4c4e7c6647856088456] 
-   PD              [ARIMA Forecasting] [Voorspelling met ...] [2012-12-16 12:02:00] [37f59b7a972c225c3d32d27fed432050] 
-   PD        [Standard Deviation-Mean Plot] [SMP olieproductie LT] [2010-12-21 15:24:19] [a8a0ff0853b70f438be515083758c362] 
-   PD        [Standard Deviation-Mean Plot] [SMP olieproductie MT] [2010-12-21 15:26:28] [a8a0ff0853b70f438be515083758c362] 
- RMPD        [ML Fitting and QQ Plot- Normal Distribution] [] [2016-01-21 18:40:57] [22b6f4a061c8797aa483199554a73d13] 

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Dataseries X:

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Histogram

Boxplots

Summary of computational transaction
Raw Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	4 seconds
R Server	'George Udny Yule' @ 72.249.76.132

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 4 seconds \tabularnewline
R Server & 'George Udny Yule' @ 72.249.76.132 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=102835&T=0

[TABLE]
[ROW][C]Summary of computational transaction[/C][/ROW]
[ROW][C]Raw Input[/C][C]view raw input (R code) [/C][/ROW]
[ROW][C]Raw Output[/C][C]view raw output of R engine [/C][/ROW]
[ROW][C]Computing time[/C][C]4 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'George Udny Yule' @ 72.249.76.132[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=102835&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=102835&T=0

As an alternative you can also use a QR Code:

The GUIDs for individual cells are displayed in the table below:

Summary of computational transaction
Raw Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	4 seconds
R Server	'George Udny Yule' @ 72.249.76.132

Standard Deviation-Mean Plot
Section	Mean	Standard Deviation	Range
1	36396.1428571429	17399.5409271679	52946
2	36128.7142857143	15575.6555422694	43361
3	30392.4285714286	8315.52271071284	21868
4	32040.1428571429	11229.4625194704	31079
5	38223	15042.5726744685	41465
6	26387.2857142857	6184.81807100488	17141
7	26948	7798.59286452798	24056
8	26406.4285714286	7479.92599912465	18529
9	24346.5714285714	8320.420699643	20186
10	21611.8571428571	7681.34971708687	18049
11	26139.2857142857	7346.18308407583	17783
12	24201.5714285714	6286.81309984486	17675
13	26334	7657.95248962367	19624
14	25788.4285714286	7721.8972162965	20960
15	24186.4285714286	6503.87950526819	17301
16	29221.1428571429	8059.19277240948	23202
17	41404.2857142857	12806.5022119532	32761
18	34988.4285714286	8402.51755640619	23043
19	38074.1428571429	7194.50147516772	16794
20	45256.5714285714	17751.5498371001	51317
21	66403	22659.6511594214	54628
22	72673.7142857143	22099.2004735789	70114
23	71685.7142857143	16138.7708300466	49528
24	62874.7142857143	15447.156423479	45363
25	73303	17595.7823450204	51184
26	66227.5714285714	16548.9401156806	46378
27	81461.5714285714	20855.4065480804	58073
28	86241.2857142857	20962.0058177828	56631
29	74409.2857142857	17297.2550492295	40371
30	58095.4285714286	16345.3925093806	42960
31	25658.7142857143	5251.75436447307	14631
32	33558.1428571429	12150.9707078429	30438
33	51965.8571428571	11670.8769368968	29317
34	57870.2857142857	15400.4159977827	40904
35	60605.1428571429	17682.4538307383	45096
36	65964.2857142857	16108.1592545961	41091
37	67444.1428571429	17453.1878122458	47633
38	69832.1428571429	18124.761777088	49796
39	72757.5714285714	15737.2409044824	43334
40	79440.2857142857	19333.3531383314	53747
41	75381.5714285714	13725.8345084145	39276
42	70183	17133.9284656691	42159
43	64263.1428571429	17318.1973410300	46565
44	61455.8571428571	18071.0936620576	49556
45	68660.8571428571	13406.4183811160	36232
46	71399.7142857143	18404.7345332144	48648
47	88110.1428571429	19992.8908817490	49262
48	90234.7142857143	19742.2982342844	52118
49	84902.1428571429	20297.9179098791	59568
50	74722	14499.6139258947	46458
51	71868.8571428571	17970.3317946421	43627
52	72090	14927.3343903056	42346
53	68176.8571428571	15608.3767939801	42159
54	61364.2857142857	6940.1674262774	16501
55	57298.2857142857	11730.5102434391	31399
56	58312.7142857143	16376.6079792111	41278
57	56009.1428571429	15346.0666016689	40504
58	54231.5714285714	16176.6781082844	38502
59	56993	14170.8429177660	37460
60	60277	15870.1112997567	37647
61	63633.8571428571	12203.0839056987	28222
62	55948	13929.0039605613	40531
63	54567.4285714286	14961.993058604	37086
64	49501.8571428571	12833.1367746234	31052
65	52778.4285714286	15042.0428339720	43628
66	56569.8571428571	15180.7122629185	36205
67	58412	17910.6851255519	43574
68	73627.1428571429	18074.9544437284	46698
69	85066.4285714286	25153.1048438501	69100
70	88327.4285714286	16994.4033420530	49101
71	85363.7142857143	17780.7910745865	50569
72	92077	20455.7760628467	55910
73	100430	31414.7371732865	98950
74	97333.1428571429	27908.2613003663	89018
75	93164	28065.4612350008	78098
76	100457	24754.2470632146	74306
77	115725.571428571	34542.0601193055	94838
78	79474.7142857143	12373.9070185921	41385
79	90139.2857142857	21472.1584128089	65442
80	116713.428571429	30069.4581364388	83624
81	122953.714285714	23507.7269049582	65042
82	100159.428571429	19765.2283809821	54361
83	50997	19388.4821737030	53346
84	37330.2857142857	7859.37499029632	18770
85	63607.1428571429	17201.3766544868	51905
86	72101.4285714286	13372.2661113358	38021
87	73993.4285714286	18240.5809470454	50436
88	86985	25430.8046536741	73345
89	85787.2857142857	18284.4416623741	48941
90	67871.2857142857	10143.0622548007	27101
91	75225.5714285714	24147.4560002853	79833
92	97725.8571428571	20480.9481179345	51210
93	101166.285714286	24434.4613931109	63332
94	93694.2857142857	21347.0904474457	58633
95	88258.7142857143	17630.2806719413	46992
96	109355.571428571	36934.5595608284	99271
97	97108.1428571429	21163.5145823228	57298
98	86683.7142857143	18910.2458798953	49822
99	88636.4285714286	21298.0902575571	55856
100	78921.5714285714	11524.6309103176	31345
101	91386.7142857143	31797.9143168976	82770
102	97912.8571428571	21466.1207210228	54441
103	70743.5714285714	11216.7953809922	30224
104	54197.2857142857	11161.0959843301	30331
105	56695.7142857143	18565.309439151	50837
106	62828.8571428571	17910.2742434668	45524
107	76518.5714285714	19689.5745413416	50757
108	78288.1428571429	15926.3146231697	42133
109	67467	13441.3890155246	35378
110	64339.4285714286	16745.5025589673	43173
111	58171.7142857143	15945.8213096126	38075
112	58900.1428571429	14084.9042290978	41866
113	56878.5714285714	15624.3193116494	41305
114	57409	13600.9897924134	35137
115	55028.7142857143	14328.6771745137	37273
116	58633.2857142857	13302.618021957	36392
117	61356.7142857143	17930.5129292154	49475
118	64903.8571428571	15806.5944616856	39569
119	70175.2857142857	19144.1303947562	48540
120	77014.1428571429	21688.4456522251	55696
121	83681.7142857143	22304.1812426451	69633
122	91756.5714285714	19254.8520799057	52599
123	94079.1428571429	21351.5869154853	55242
124	112406.857142857	30595.6091263031	78979
125	107536.285714286	28900.9924495929	84852
126	109496.857142857	26651.9168380598	73906
127	101769.285714286	23136.0728352522	61944
128	114348.428571429	33994.2727277069	81329
129	103416.857142857	23190.6309201839	64801
130	100681.857142857	23088.7982611234	59995
131	92508	15781.3034527148	50410
132	112620.571428571	25645.5669844202	67365
133	114585	22360.2271902590	63600
134	101635.571428571	23720.6465893965	65788
135	47774	18463.4409848219	54628
136	40546	11295.2700425148	27127
137	68603.7142857143	18748.7289143761	54655
138	82026.1428571429	16430.8991783628	46004
139	88930.1428571429	19263.9105447516	47206
140	110904.428571429	34691.3994762253	111446
141	103497	25997.1820844747	68966
142	114730.142857143	31228.8999775772	76415
143	99766.5714285714	20623.6479545298	58687
144	116015.571428571	22614.8221148369	62131
145	123403.571428571	30435.7712834593	81355
146	220183.571428571	95066.5810276446	247802
147	218657.714285714	69167.8480767721	188235
148	114741.285714286	27054.8996099553	71182
149	99675	20559.5710234106	54068
150	97062.1428571429	25544.6316305962	69153
151	102253.428571429	21763.3417766140	53107
152	112128.428571429	25888.5153356795	75801
153	109561.428571429	29147.2195463944	69874
154	102127.571428571	22424.4203110295	58073
155	89189.4285714286	21366.7312806392	58981
156	79272.2857142857	21049.7800282591	66429
157	80454.8571428571	21452.3073229010	59861
158	92660.4285714286	32675.3206658947	97242
159	73978.1428571429	12773.7230206985	33295
160	63721.5714285714	16105.995310827	42293
161	58610.2857142857	11728.5637613802	34149
162	55795.2857142857	14414.2693041107	41438
163	55013.2857142857	14678.888930641	39302
164	58908	15211.9500174479	40023
165	61566.4285714286	15363.0362651956	40264
166	60448.8571428571	14820.8917908536	42346
167	63607	14553.4094287215	37140
168	61532.2857142857	15882.3697928897	40130
169	71823.1428571429	14647.4840209115	40050
170	63740.5714285714	15525.6604782442	43068
171	64938.2857142857	16187.6331882735	45043
172	70514.8571428571	19072.6974357638	47767
173	89193.2857142857	24063.4300943311	71075
174	86340.1428571429	20160.86262563	60929
175	102604.285714286	24649.0716641573	69233
176	137226.428571429	48968.4929890542	150455
177	123358	33355.8701130701	99137

\begin{tabular}{lllllllll}
\hline
Standard Deviation-Mean Plot \tabularnewline
Section & Mean & Standard Deviation & Range \tabularnewline
1 & 36396.1428571429 & 17399.5409271679 & 52946 \tabularnewline
2 & 36128.7142857143 & 15575.6555422694 & 43361 \tabularnewline
3 & 30392.4285714286 & 8315.52271071284 & 21868 \tabularnewline
4 & 32040.1428571429 & 11229.4625194704 & 31079 \tabularnewline
5 & 38223 & 15042.5726744685 & 41465 \tabularnewline
6 & 26387.2857142857 & 6184.81807100488 & 17141 \tabularnewline
7 & 26948 & 7798.59286452798 & 24056 \tabularnewline
8 & 26406.4285714286 & 7479.92599912465 & 18529 \tabularnewline
9 & 24346.5714285714 & 8320.420699643 & 20186 \tabularnewline
10 & 21611.8571428571 & 7681.34971708687 & 18049 \tabularnewline
11 & 26139.2857142857 & 7346.18308407583 & 17783 \tabularnewline
12 & 24201.5714285714 & 6286.81309984486 & 17675 \tabularnewline
13 & 26334 & 7657.95248962367 & 19624 \tabularnewline
14 & 25788.4285714286 & 7721.8972162965 & 20960 \tabularnewline
15 & 24186.4285714286 & 6503.87950526819 & 17301 \tabularnewline
16 & 29221.1428571429 & 8059.19277240948 & 23202 \tabularnewline
17 & 41404.2857142857 & 12806.5022119532 & 32761 \tabularnewline
18 & 34988.4285714286 & 8402.51755640619 & 23043 \tabularnewline
19 & 38074.1428571429 & 7194.50147516772 & 16794 \tabularnewline
20 & 45256.5714285714 & 17751.5498371001 & 51317 \tabularnewline
21 & 66403 & 22659.6511594214 & 54628 \tabularnewline
22 & 72673.7142857143 & 22099.2004735789 & 70114 \tabularnewline
23 & 71685.7142857143 & 16138.7708300466 & 49528 \tabularnewline
24 & 62874.7142857143 & 15447.156423479 & 45363 \tabularnewline
25 & 73303 & 17595.7823450204 & 51184 \tabularnewline
26 & 66227.5714285714 & 16548.9401156806 & 46378 \tabularnewline
27 & 81461.5714285714 & 20855.4065480804 & 58073 \tabularnewline
28 & 86241.2857142857 & 20962.0058177828 & 56631 \tabularnewline
29 & 74409.2857142857 & 17297.2550492295 & 40371 \tabularnewline
30 & 58095.4285714286 & 16345.3925093806 & 42960 \tabularnewline
31 & 25658.7142857143 & 5251.75436447307 & 14631 \tabularnewline
32 & 33558.1428571429 & 12150.9707078429 & 30438 \tabularnewline
33 & 51965.8571428571 & 11670.8769368968 & 29317 \tabularnewline
34 & 57870.2857142857 & 15400.4159977827 & 40904 \tabularnewline
35 & 60605.1428571429 & 17682.4538307383 & 45096 \tabularnewline
36 & 65964.2857142857 & 16108.1592545961 & 41091 \tabularnewline
37 & 67444.1428571429 & 17453.1878122458 & 47633 \tabularnewline
38 & 69832.1428571429 & 18124.761777088 & 49796 \tabularnewline
39 & 72757.5714285714 & 15737.2409044824 & 43334 \tabularnewline
40 & 79440.2857142857 & 19333.3531383314 & 53747 \tabularnewline
41 & 75381.5714285714 & 13725.8345084145 & 39276 \tabularnewline
42 & 70183 & 17133.9284656691 & 42159 \tabularnewline
43 & 64263.1428571429 & 17318.1973410300 & 46565 \tabularnewline
44 & 61455.8571428571 & 18071.0936620576 & 49556 \tabularnewline
45 & 68660.8571428571 & 13406.4183811160 & 36232 \tabularnewline
46 & 71399.7142857143 & 18404.7345332144 & 48648 \tabularnewline
47 & 88110.1428571429 & 19992.8908817490 & 49262 \tabularnewline
48 & 90234.7142857143 & 19742.2982342844 & 52118 \tabularnewline
49 & 84902.1428571429 & 20297.9179098791 & 59568 \tabularnewline
50 & 74722 & 14499.6139258947 & 46458 \tabularnewline
51 & 71868.8571428571 & 17970.3317946421 & 43627 \tabularnewline
52 & 72090 & 14927.3343903056 & 42346 \tabularnewline
53 & 68176.8571428571 & 15608.3767939801 & 42159 \tabularnewline
54 & 61364.2857142857 & 6940.1674262774 & 16501 \tabularnewline
55 & 57298.2857142857 & 11730.5102434391 & 31399 \tabularnewline
56 & 58312.7142857143 & 16376.6079792111 & 41278 \tabularnewline
57 & 56009.1428571429 & 15346.0666016689 & 40504 \tabularnewline
58 & 54231.5714285714 & 16176.6781082844 & 38502 \tabularnewline
59 & 56993 & 14170.8429177660 & 37460 \tabularnewline
60 & 60277 & 15870.1112997567 & 37647 \tabularnewline
61 & 63633.8571428571 & 12203.0839056987 & 28222 \tabularnewline
62 & 55948 & 13929.0039605613 & 40531 \tabularnewline
63 & 54567.4285714286 & 14961.993058604 & 37086 \tabularnewline
64 & 49501.8571428571 & 12833.1367746234 & 31052 \tabularnewline
65 & 52778.4285714286 & 15042.0428339720 & 43628 \tabularnewline
66 & 56569.8571428571 & 15180.7122629185 & 36205 \tabularnewline
67 & 58412 & 17910.6851255519 & 43574 \tabularnewline
68 & 73627.1428571429 & 18074.9544437284 & 46698 \tabularnewline
69 & 85066.4285714286 & 25153.1048438501 & 69100 \tabularnewline
70 & 88327.4285714286 & 16994.4033420530 & 49101 \tabularnewline
71 & 85363.7142857143 & 17780.7910745865 & 50569 \tabularnewline
72 & 92077 & 20455.7760628467 & 55910 \tabularnewline
73 & 100430 & 31414.7371732865 & 98950 \tabularnewline
74 & 97333.1428571429 & 27908.2613003663 & 89018 \tabularnewline
75 & 93164 & 28065.4612350008 & 78098 \tabularnewline
76 & 100457 & 24754.2470632146 & 74306 \tabularnewline
77 & 115725.571428571 & 34542.0601193055 & 94838 \tabularnewline
78 & 79474.7142857143 & 12373.9070185921 & 41385 \tabularnewline
79 & 90139.2857142857 & 21472.1584128089 & 65442 \tabularnewline
80 & 116713.428571429 & 30069.4581364388 & 83624 \tabularnewline
81 & 122953.714285714 & 23507.7269049582 & 65042 \tabularnewline
82 & 100159.428571429 & 19765.2283809821 & 54361 \tabularnewline
83 & 50997 & 19388.4821737030 & 53346 \tabularnewline
84 & 37330.2857142857 & 7859.37499029632 & 18770 \tabularnewline
85 & 63607.1428571429 & 17201.3766544868 & 51905 \tabularnewline
86 & 72101.4285714286 & 13372.2661113358 & 38021 \tabularnewline
87 & 73993.4285714286 & 18240.5809470454 & 50436 \tabularnewline
88 & 86985 & 25430.8046536741 & 73345 \tabularnewline
89 & 85787.2857142857 & 18284.4416623741 & 48941 \tabularnewline
90 & 67871.2857142857 & 10143.0622548007 & 27101 \tabularnewline
91 & 75225.5714285714 & 24147.4560002853 & 79833 \tabularnewline
92 & 97725.8571428571 & 20480.9481179345 & 51210 \tabularnewline
93 & 101166.285714286 & 24434.4613931109 & 63332 \tabularnewline
94 & 93694.2857142857 & 21347.0904474457 & 58633 \tabularnewline
95 & 88258.7142857143 & 17630.2806719413 & 46992 \tabularnewline
96 & 109355.571428571 & 36934.5595608284 & 99271 \tabularnewline
97 & 97108.1428571429 & 21163.5145823228 & 57298 \tabularnewline
98 & 86683.7142857143 & 18910.2458798953 & 49822 \tabularnewline
99 & 88636.4285714286 & 21298.0902575571 & 55856 \tabularnewline
100 & 78921.5714285714 & 11524.6309103176 & 31345 \tabularnewline
101 & 91386.7142857143 & 31797.9143168976 & 82770 \tabularnewline
102 & 97912.8571428571 & 21466.1207210228 & 54441 \tabularnewline
103 & 70743.5714285714 & 11216.7953809922 & 30224 \tabularnewline
104 & 54197.2857142857 & 11161.0959843301 & 30331 \tabularnewline
105 & 56695.7142857143 & 18565.309439151 & 50837 \tabularnewline
106 & 62828.8571428571 & 17910.2742434668 & 45524 \tabularnewline
107 & 76518.5714285714 & 19689.5745413416 & 50757 \tabularnewline
108 & 78288.1428571429 & 15926.3146231697 & 42133 \tabularnewline
109 & 67467 & 13441.3890155246 & 35378 \tabularnewline
110 & 64339.4285714286 & 16745.5025589673 & 43173 \tabularnewline
111 & 58171.7142857143 & 15945.8213096126 & 38075 \tabularnewline
112 & 58900.1428571429 & 14084.9042290978 & 41866 \tabularnewline
113 & 56878.5714285714 & 15624.3193116494 & 41305 \tabularnewline
114 & 57409 & 13600.9897924134 & 35137 \tabularnewline
115 & 55028.7142857143 & 14328.6771745137 & 37273 \tabularnewline
116 & 58633.2857142857 & 13302.618021957 & 36392 \tabularnewline
117 & 61356.7142857143 & 17930.5129292154 & 49475 \tabularnewline
118 & 64903.8571428571 & 15806.5944616856 & 39569 \tabularnewline
119 & 70175.2857142857 & 19144.1303947562 & 48540 \tabularnewline
120 & 77014.1428571429 & 21688.4456522251 & 55696 \tabularnewline
121 & 83681.7142857143 & 22304.1812426451 & 69633 \tabularnewline
122 & 91756.5714285714 & 19254.8520799057 & 52599 \tabularnewline
123 & 94079.1428571429 & 21351.5869154853 & 55242 \tabularnewline
124 & 112406.857142857 & 30595.6091263031 & 78979 \tabularnewline
125 & 107536.285714286 & 28900.9924495929 & 84852 \tabularnewline
126 & 109496.857142857 & 26651.9168380598 & 73906 \tabularnewline
127 & 101769.285714286 & 23136.0728352522 & 61944 \tabularnewline
128 & 114348.428571429 & 33994.2727277069 & 81329 \tabularnewline
129 & 103416.857142857 & 23190.6309201839 & 64801 \tabularnewline
130 & 100681.857142857 & 23088.7982611234 & 59995 \tabularnewline
131 & 92508 & 15781.3034527148 & 50410 \tabularnewline
132 & 112620.571428571 & 25645.5669844202 & 67365 \tabularnewline
133 & 114585 & 22360.2271902590 & 63600 \tabularnewline
134 & 101635.571428571 & 23720.6465893965 & 65788 \tabularnewline
135 & 47774 & 18463.4409848219 & 54628 \tabularnewline
136 & 40546 & 11295.2700425148 & 27127 \tabularnewline
137 & 68603.7142857143 & 18748.7289143761 & 54655 \tabularnewline
138 & 82026.1428571429 & 16430.8991783628 & 46004 \tabularnewline
139 & 88930.1428571429 & 19263.9105447516 & 47206 \tabularnewline
140 & 110904.428571429 & 34691.3994762253 & 111446 \tabularnewline
141 & 103497 & 25997.1820844747 & 68966 \tabularnewline
142 & 114730.142857143 & 31228.8999775772 & 76415 \tabularnewline
143 & 99766.5714285714 & 20623.6479545298 & 58687 \tabularnewline
144 & 116015.571428571 & 22614.8221148369 & 62131 \tabularnewline
145 & 123403.571428571 & 30435.7712834593 & 81355 \tabularnewline
146 & 220183.571428571 & 95066.5810276446 & 247802 \tabularnewline
147 & 218657.714285714 & 69167.8480767721 & 188235 \tabularnewline
148 & 114741.285714286 & 27054.8996099553 & 71182 \tabularnewline
149 & 99675 & 20559.5710234106 & 54068 \tabularnewline
150 & 97062.1428571429 & 25544.6316305962 & 69153 \tabularnewline
151 & 102253.428571429 & 21763.3417766140 & 53107 \tabularnewline
152 & 112128.428571429 & 25888.5153356795 & 75801 \tabularnewline
153 & 109561.428571429 & 29147.2195463944 & 69874 \tabularnewline
154 & 102127.571428571 & 22424.4203110295 & 58073 \tabularnewline
155 & 89189.4285714286 & 21366.7312806392 & 58981 \tabularnewline
156 & 79272.2857142857 & 21049.7800282591 & 66429 \tabularnewline
157 & 80454.8571428571 & 21452.3073229010 & 59861 \tabularnewline
158 & 92660.4285714286 & 32675.3206658947 & 97242 \tabularnewline
159 & 73978.1428571429 & 12773.7230206985 & 33295 \tabularnewline
160 & 63721.5714285714 & 16105.995310827 & 42293 \tabularnewline
161 & 58610.2857142857 & 11728.5637613802 & 34149 \tabularnewline
162 & 55795.2857142857 & 14414.2693041107 & 41438 \tabularnewline
163 & 55013.2857142857 & 14678.888930641 & 39302 \tabularnewline
164 & 58908 & 15211.9500174479 & 40023 \tabularnewline
165 & 61566.4285714286 & 15363.0362651956 & 40264 \tabularnewline
166 & 60448.8571428571 & 14820.8917908536 & 42346 \tabularnewline
167 & 63607 & 14553.4094287215 & 37140 \tabularnewline
168 & 61532.2857142857 & 15882.3697928897 & 40130 \tabularnewline
169 & 71823.1428571429 & 14647.4840209115 & 40050 \tabularnewline
170 & 63740.5714285714 & 15525.6604782442 & 43068 \tabularnewline
171 & 64938.2857142857 & 16187.6331882735 & 45043 \tabularnewline
172 & 70514.8571428571 & 19072.6974357638 & 47767 \tabularnewline
173 & 89193.2857142857 & 24063.4300943311 & 71075 \tabularnewline
174 & 86340.1428571429 & 20160.86262563 & 60929 \tabularnewline
175 & 102604.285714286 & 24649.0716641573 & 69233 \tabularnewline
176 & 137226.428571429 & 48968.4929890542 & 150455 \tabularnewline
177 & 123358 & 33355.8701130701 & 99137 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=102835&T=1

[TABLE]
[ROW][C]Standard Deviation-Mean Plot[/C][/ROW]
[ROW][C]Section[/C][C]Mean[/C][C]Standard Deviation[/C][C]Range[/C][/ROW]
[ROW][C]1[/C][C]36396.1428571429[/C][C]17399.5409271679[/C][C]52946[/C][/ROW]
[ROW][C]2[/C][C]36128.7142857143[/C][C]15575.6555422694[/C][C]43361[/C][/ROW]
[ROW][C]3[/C][C]30392.4285714286[/C][C]8315.52271071284[/C][C]21868[/C][/ROW]
[ROW][C]4[/C][C]32040.1428571429[/C][C]11229.4625194704[/C][C]31079[/C][/ROW]
[ROW][C]5[/C][C]38223[/C][C]15042.5726744685[/C][C]41465[/C][/ROW]
[ROW][C]6[/C][C]26387.2857142857[/C][C]6184.81807100488[/C][C]17141[/C][/ROW]
[ROW][C]7[/C][C]26948[/C][C]7798.59286452798[/C][C]24056[/C][/ROW]
[ROW][C]8[/C][C]26406.4285714286[/C][C]7479.92599912465[/C][C]18529[/C][/ROW]
[ROW][C]9[/C][C]24346.5714285714[/C][C]8320.420699643[/C][C]20186[/C][/ROW]
[ROW][C]10[/C][C]21611.8571428571[/C][C]7681.34971708687[/C][C]18049[/C][/ROW]
[ROW][C]11[/C][C]26139.2857142857[/C][C]7346.18308407583[/C][C]17783[/C][/ROW]
[ROW][C]12[/C][C]24201.5714285714[/C][C]6286.81309984486[/C][C]17675[/C][/ROW]
[ROW][C]13[/C][C]26334[/C][C]7657.95248962367[/C][C]19624[/C][/ROW]
[ROW][C]14[/C][C]25788.4285714286[/C][C]7721.8972162965[/C][C]20960[/C][/ROW]
[ROW][C]15[/C][C]24186.4285714286[/C][C]6503.87950526819[/C][C]17301[/C][/ROW]
[ROW][C]16[/C][C]29221.1428571429[/C][C]8059.19277240948[/C][C]23202[/C][/ROW]
[ROW][C]17[/C][C]41404.2857142857[/C][C]12806.5022119532[/C][C]32761[/C][/ROW]
[ROW][C]18[/C][C]34988.4285714286[/C][C]8402.51755640619[/C][C]23043[/C][/ROW]
[ROW][C]19[/C][C]38074.1428571429[/C][C]7194.50147516772[/C][C]16794[/C][/ROW]
[ROW][C]20[/C][C]45256.5714285714[/C][C]17751.5498371001[/C][C]51317[/C][/ROW]
[ROW][C]21[/C][C]66403[/C][C]22659.6511594214[/C][C]54628[/C][/ROW]
[ROW][C]22[/C][C]72673.7142857143[/C][C]22099.2004735789[/C][C]70114[/C][/ROW]
[ROW][C]23[/C][C]71685.7142857143[/C][C]16138.7708300466[/C][C]49528[/C][/ROW]
[ROW][C]24[/C][C]62874.7142857143[/C][C]15447.156423479[/C][C]45363[/C][/ROW]
[ROW][C]25[/C][C]73303[/C][C]17595.7823450204[/C][C]51184[/C][/ROW]
[ROW][C]26[/C][C]66227.5714285714[/C][C]16548.9401156806[/C][C]46378[/C][/ROW]
[ROW][C]27[/C][C]81461.5714285714[/C][C]20855.4065480804[/C][C]58073[/C][/ROW]
[ROW][C]28[/C][C]86241.2857142857[/C][C]20962.0058177828[/C][C]56631[/C][/ROW]
[ROW][C]29[/C][C]74409.2857142857[/C][C]17297.2550492295[/C][C]40371[/C][/ROW]
[ROW][C]30[/C][C]58095.4285714286[/C][C]16345.3925093806[/C][C]42960[/C][/ROW]
[ROW][C]31[/C][C]25658.7142857143[/C][C]5251.75436447307[/C][C]14631[/C][/ROW]
[ROW][C]32[/C][C]33558.1428571429[/C][C]12150.9707078429[/C][C]30438[/C][/ROW]
[ROW][C]33[/C][C]51965.8571428571[/C][C]11670.8769368968[/C][C]29317[/C][/ROW]
[ROW][C]34[/C][C]57870.2857142857[/C][C]15400.4159977827[/C][C]40904[/C][/ROW]
[ROW][C]35[/C][C]60605.1428571429[/C][C]17682.4538307383[/C][C]45096[/C][/ROW]
[ROW][C]36[/C][C]65964.2857142857[/C][C]16108.1592545961[/C][C]41091[/C][/ROW]
[ROW][C]37[/C][C]67444.1428571429[/C][C]17453.1878122458[/C][C]47633[/C][/ROW]
[ROW][C]38[/C][C]69832.1428571429[/C][C]18124.761777088[/C][C]49796[/C][/ROW]
[ROW][C]39[/C][C]72757.5714285714[/C][C]15737.2409044824[/C][C]43334[/C][/ROW]
[ROW][C]40[/C][C]79440.2857142857[/C][C]19333.3531383314[/C][C]53747[/C][/ROW]
[ROW][C]41[/C][C]75381.5714285714[/C][C]13725.8345084145[/C][C]39276[/C][/ROW]
[ROW][C]42[/C][C]70183[/C][C]17133.9284656691[/C][C]42159[/C][/ROW]
[ROW][C]43[/C][C]64263.1428571429[/C][C]17318.1973410300[/C][C]46565[/C][/ROW]
[ROW][C]44[/C][C]61455.8571428571[/C][C]18071.0936620576[/C][C]49556[/C][/ROW]
[ROW][C]45[/C][C]68660.8571428571[/C][C]13406.4183811160[/C][C]36232[/C][/ROW]
[ROW][C]46[/C][C]71399.7142857143[/C][C]18404.7345332144[/C][C]48648[/C][/ROW]
[ROW][C]47[/C][C]88110.1428571429[/C][C]19992.8908817490[/C][C]49262[/C][/ROW]
[ROW][C]48[/C][C]90234.7142857143[/C][C]19742.2982342844[/C][C]52118[/C][/ROW]
[ROW][C]49[/C][C]84902.1428571429[/C][C]20297.9179098791[/C][C]59568[/C][/ROW]
[ROW][C]50[/C][C]74722[/C][C]14499.6139258947[/C][C]46458[/C][/ROW]
[ROW][C]51[/C][C]71868.8571428571[/C][C]17970.3317946421[/C][C]43627[/C][/ROW]
[ROW][C]52[/C][C]72090[/C][C]14927.3343903056[/C][C]42346[/C][/ROW]
[ROW][C]53[/C][C]68176.8571428571[/C][C]15608.3767939801[/C][C]42159[/C][/ROW]
[ROW][C]54[/C][C]61364.2857142857[/C][C]6940.1674262774[/C][C]16501[/C][/ROW]
[ROW][C]55[/C][C]57298.2857142857[/C][C]11730.5102434391[/C][C]31399[/C][/ROW]
[ROW][C]56[/C][C]58312.7142857143[/C][C]16376.6079792111[/C][C]41278[/C][/ROW]
[ROW][C]57[/C][C]56009.1428571429[/C][C]15346.0666016689[/C][C]40504[/C][/ROW]
[ROW][C]58[/C][C]54231.5714285714[/C][C]16176.6781082844[/C][C]38502[/C][/ROW]
[ROW][C]59[/C][C]56993[/C][C]14170.8429177660[/C][C]37460[/C][/ROW]
[ROW][C]60[/C][C]60277[/C][C]15870.1112997567[/C][C]37647[/C][/ROW]
[ROW][C]61[/C][C]63633.8571428571[/C][C]12203.0839056987[/C][C]28222[/C][/ROW]
[ROW][C]62[/C][C]55948[/C][C]13929.0039605613[/C][C]40531[/C][/ROW]
[ROW][C]63[/C][C]54567.4285714286[/C][C]14961.993058604[/C][C]37086[/C][/ROW]
[ROW][C]64[/C][C]49501.8571428571[/C][C]12833.1367746234[/C][C]31052[/C][/ROW]
[ROW][C]65[/C][C]52778.4285714286[/C][C]15042.0428339720[/C][C]43628[/C][/ROW]
[ROW][C]66[/C][C]56569.8571428571[/C][C]15180.7122629185[/C][C]36205[/C][/ROW]
[ROW][C]67[/C][C]58412[/C][C]17910.6851255519[/C][C]43574[/C][/ROW]
[ROW][C]68[/C][C]73627.1428571429[/C][C]18074.9544437284[/C][C]46698[/C][/ROW]
[ROW][C]69[/C][C]85066.4285714286[/C][C]25153.1048438501[/C][C]69100[/C][/ROW]
[ROW][C]70[/C][C]88327.4285714286[/C][C]16994.4033420530[/C][C]49101[/C][/ROW]
[ROW][C]71[/C][C]85363.7142857143[/C][C]17780.7910745865[/C][C]50569[/C][/ROW]
[ROW][C]72[/C][C]92077[/C][C]20455.7760628467[/C][C]55910[/C][/ROW]
[ROW][C]73[/C][C]100430[/C][C]31414.7371732865[/C][C]98950[/C][/ROW]
[ROW][C]74[/C][C]97333.1428571429[/C][C]27908.2613003663[/C][C]89018[/C][/ROW]
[ROW][C]75[/C][C]93164[/C][C]28065.4612350008[/C][C]78098[/C][/ROW]
[ROW][C]76[/C][C]100457[/C][C]24754.2470632146[/C][C]74306[/C][/ROW]
[ROW][C]77[/C][C]115725.571428571[/C][C]34542.0601193055[/C][C]94838[/C][/ROW]
[ROW][C]78[/C][C]79474.7142857143[/C][C]12373.9070185921[/C][C]41385[/C][/ROW]
[ROW][C]79[/C][C]90139.2857142857[/C][C]21472.1584128089[/C][C]65442[/C][/ROW]
[ROW][C]80[/C][C]116713.428571429[/C][C]30069.4581364388[/C][C]83624[/C][/ROW]
[ROW][C]81[/C][C]122953.714285714[/C][C]23507.7269049582[/C][C]65042[/C][/ROW]
[ROW][C]82[/C][C]100159.428571429[/C][C]19765.2283809821[/C][C]54361[/C][/ROW]
[ROW][C]83[/C][C]50997[/C][C]19388.4821737030[/C][C]53346[/C][/ROW]
[ROW][C]84[/C][C]37330.2857142857[/C][C]7859.37499029632[/C][C]18770[/C][/ROW]
[ROW][C]85[/C][C]63607.1428571429[/C][C]17201.3766544868[/C][C]51905[/C][/ROW]
[ROW][C]86[/C][C]72101.4285714286[/C][C]13372.2661113358[/C][C]38021[/C][/ROW]
[ROW][C]87[/C][C]73993.4285714286[/C][C]18240.5809470454[/C][C]50436[/C][/ROW]
[ROW][C]88[/C][C]86985[/C][C]25430.8046536741[/C][C]73345[/C][/ROW]
[ROW][C]89[/C][C]85787.2857142857[/C][C]18284.4416623741[/C][C]48941[/C][/ROW]
[ROW][C]90[/C][C]67871.2857142857[/C][C]10143.0622548007[/C][C]27101[/C][/ROW]
[ROW][C]91[/C][C]75225.5714285714[/C][C]24147.4560002853[/C][C]79833[/C][/ROW]
[ROW][C]92[/C][C]97725.8571428571[/C][C]20480.9481179345[/C][C]51210[/C][/ROW]
[ROW][C]93[/C][C]101166.285714286[/C][C]24434.4613931109[/C][C]63332[/C][/ROW]
[ROW][C]94[/C][C]93694.2857142857[/C][C]21347.0904474457[/C][C]58633[/C][/ROW]
[ROW][C]95[/C][C]88258.7142857143[/C][C]17630.2806719413[/C][C]46992[/C][/ROW]
[ROW][C]96[/C][C]109355.571428571[/C][C]36934.5595608284[/C][C]99271[/C][/ROW]
[ROW][C]97[/C][C]97108.1428571429[/C][C]21163.5145823228[/C][C]57298[/C][/ROW]
[ROW][C]98[/C][C]86683.7142857143[/C][C]18910.2458798953[/C][C]49822[/C][/ROW]
[ROW][C]99[/C][C]88636.4285714286[/C][C]21298.0902575571[/C][C]55856[/C][/ROW]
[ROW][C]100[/C][C]78921.5714285714[/C][C]11524.6309103176[/C][C]31345[/C][/ROW]
[ROW][C]101[/C][C]91386.7142857143[/C][C]31797.9143168976[/C][C]82770[/C][/ROW]
[ROW][C]102[/C][C]97912.8571428571[/C][C]21466.1207210228[/C][C]54441[/C][/ROW]
[ROW][C]103[/C][C]70743.5714285714[/C][C]11216.7953809922[/C][C]30224[/C][/ROW]
[ROW][C]104[/C][C]54197.2857142857[/C][C]11161.0959843301[/C][C]30331[/C][/ROW]
[ROW][C]105[/C][C]56695.7142857143[/C][C]18565.309439151[/C][C]50837[/C][/ROW]
[ROW][C]106[/C][C]62828.8571428571[/C][C]17910.2742434668[/C][C]45524[/C][/ROW]
[ROW][C]107[/C][C]76518.5714285714[/C][C]19689.5745413416[/C][C]50757[/C][/ROW]
[ROW][C]108[/C][C]78288.1428571429[/C][C]15926.3146231697[/C][C]42133[/C][/ROW]
[ROW][C]109[/C][C]67467[/C][C]13441.3890155246[/C][C]35378[/C][/ROW]
[ROW][C]110[/C][C]64339.4285714286[/C][C]16745.5025589673[/C][C]43173[/C][/ROW]
[ROW][C]111[/C][C]58171.7142857143[/C][C]15945.8213096126[/C][C]38075[/C][/ROW]
[ROW][C]112[/C][C]58900.1428571429[/C][C]14084.9042290978[/C][C]41866[/C][/ROW]
[ROW][C]113[/C][C]56878.5714285714[/C][C]15624.3193116494[/C][C]41305[/C][/ROW]
[ROW][C]114[/C][C]57409[/C][C]13600.9897924134[/C][C]35137[/C][/ROW]
[ROW][C]115[/C][C]55028.7142857143[/C][C]14328.6771745137[/C][C]37273[/C][/ROW]
[ROW][C]116[/C][C]58633.2857142857[/C][C]13302.618021957[/C][C]36392[/C][/ROW]
[ROW][C]117[/C][C]61356.7142857143[/C][C]17930.5129292154[/C][C]49475[/C][/ROW]
[ROW][C]118[/C][C]64903.8571428571[/C][C]15806.5944616856[/C][C]39569[/C][/ROW]
[ROW][C]119[/C][C]70175.2857142857[/C][C]19144.1303947562[/C][C]48540[/C][/ROW]
[ROW][C]120[/C][C]77014.1428571429[/C][C]21688.4456522251[/C][C]55696[/C][/ROW]
[ROW][C]121[/C][C]83681.7142857143[/C][C]22304.1812426451[/C][C]69633[/C][/ROW]
[ROW][C]122[/C][C]91756.5714285714[/C][C]19254.8520799057[/C][C]52599[/C][/ROW]
[ROW][C]123[/C][C]94079.1428571429[/C][C]21351.5869154853[/C][C]55242[/C][/ROW]
[ROW][C]124[/C][C]112406.857142857[/C][C]30595.6091263031[/C][C]78979[/C][/ROW]
[ROW][C]125[/C][C]107536.285714286[/C][C]28900.9924495929[/C][C]84852[/C][/ROW]
[ROW][C]126[/C][C]109496.857142857[/C][C]26651.9168380598[/C][C]73906[/C][/ROW]
[ROW][C]127[/C][C]101769.285714286[/C][C]23136.0728352522[/C][C]61944[/C][/ROW]
[ROW][C]128[/C][C]114348.428571429[/C][C]33994.2727277069[/C][C]81329[/C][/ROW]
[ROW][C]129[/C][C]103416.857142857[/C][C]23190.6309201839[/C][C]64801[/C][/ROW]
[ROW][C]130[/C][C]100681.857142857[/C][C]23088.7982611234[/C][C]59995[/C][/ROW]
[ROW][C]131[/C][C]92508[/C][C]15781.3034527148[/C][C]50410[/C][/ROW]
[ROW][C]132[/C][C]112620.571428571[/C][C]25645.5669844202[/C][C]67365[/C][/ROW]
[ROW][C]133[/C][C]114585[/C][C]22360.2271902590[/C][C]63600[/C][/ROW]
[ROW][C]134[/C][C]101635.571428571[/C][C]23720.6465893965[/C][C]65788[/C][/ROW]
[ROW][C]135[/C][C]47774[/C][C]18463.4409848219[/C][C]54628[/C][/ROW]
[ROW][C]136[/C][C]40546[/C][C]11295.2700425148[/C][C]27127[/C][/ROW]
[ROW][C]137[/C][C]68603.7142857143[/C][C]18748.7289143761[/C][C]54655[/C][/ROW]
[ROW][C]138[/C][C]82026.1428571429[/C][C]16430.8991783628[/C][C]46004[/C][/ROW]
[ROW][C]139[/C][C]88930.1428571429[/C][C]19263.9105447516[/C][C]47206[/C][/ROW]
[ROW][C]140[/C][C]110904.428571429[/C][C]34691.3994762253[/C][C]111446[/C][/ROW]
[ROW][C]141[/C][C]103497[/C][C]25997.1820844747[/C][C]68966[/C][/ROW]
[ROW][C]142[/C][C]114730.142857143[/C][C]31228.8999775772[/C][C]76415[/C][/ROW]
[ROW][C]143[/C][C]99766.5714285714[/C][C]20623.6479545298[/C][C]58687[/C][/ROW]
[ROW][C]144[/C][C]116015.571428571[/C][C]22614.8221148369[/C][C]62131[/C][/ROW]
[ROW][C]145[/C][C]123403.571428571[/C][C]30435.7712834593[/C][C]81355[/C][/ROW]
[ROW][C]146[/C][C]220183.571428571[/C][C]95066.5810276446[/C][C]247802[/C][/ROW]
[ROW][C]147[/C][C]218657.714285714[/C][C]69167.8480767721[/C][C]188235[/C][/ROW]
[ROW][C]148[/C][C]114741.285714286[/C][C]27054.8996099553[/C][C]71182[/C][/ROW]
[ROW][C]149[/C][C]99675[/C][C]20559.5710234106[/C][C]54068[/C][/ROW]
[ROW][C]150[/C][C]97062.1428571429[/C][C]25544.6316305962[/C][C]69153[/C][/ROW]
[ROW][C]151[/C][C]102253.428571429[/C][C]21763.3417766140[/C][C]53107[/C][/ROW]
[ROW][C]152[/C][C]112128.428571429[/C][C]25888.5153356795[/C][C]75801[/C][/ROW]
[ROW][C]153[/C][C]109561.428571429[/C][C]29147.2195463944[/C][C]69874[/C][/ROW]
[ROW][C]154[/C][C]102127.571428571[/C][C]22424.4203110295[/C][C]58073[/C][/ROW]
[ROW][C]155[/C][C]89189.4285714286[/C][C]21366.7312806392[/C][C]58981[/C][/ROW]
[ROW][C]156[/C][C]79272.2857142857[/C][C]21049.7800282591[/C][C]66429[/C][/ROW]
[ROW][C]157[/C][C]80454.8571428571[/C][C]21452.3073229010[/C][C]59861[/C][/ROW]
[ROW][C]158[/C][C]92660.4285714286[/C][C]32675.3206658947[/C][C]97242[/C][/ROW]
[ROW][C]159[/C][C]73978.1428571429[/C][C]12773.7230206985[/C][C]33295[/C][/ROW]
[ROW][C]160[/C][C]63721.5714285714[/C][C]16105.995310827[/C][C]42293[/C][/ROW]
[ROW][C]161[/C][C]58610.2857142857[/C][C]11728.5637613802[/C][C]34149[/C][/ROW]
[ROW][C]162[/C][C]55795.2857142857[/C][C]14414.2693041107[/C][C]41438[/C][/ROW]
[ROW][C]163[/C][C]55013.2857142857[/C][C]14678.888930641[/C][C]39302[/C][/ROW]
[ROW][C]164[/C][C]58908[/C][C]15211.9500174479[/C][C]40023[/C][/ROW]
[ROW][C]165[/C][C]61566.4285714286[/C][C]15363.0362651956[/C][C]40264[/C][/ROW]
[ROW][C]166[/C][C]60448.8571428571[/C][C]14820.8917908536[/C][C]42346[/C][/ROW]
[ROW][C]167[/C][C]63607[/C][C]14553.4094287215[/C][C]37140[/C][/ROW]
[ROW][C]168[/C][C]61532.2857142857[/C][C]15882.3697928897[/C][C]40130[/C][/ROW]
[ROW][C]169[/C][C]71823.1428571429[/C][C]14647.4840209115[/C][C]40050[/C][/ROW]
[ROW][C]170[/C][C]63740.5714285714[/C][C]15525.6604782442[/C][C]43068[/C][/ROW]
[ROW][C]171[/C][C]64938.2857142857[/C][C]16187.6331882735[/C][C]45043[/C][/ROW]
[ROW][C]172[/C][C]70514.8571428571[/C][C]19072.6974357638[/C][C]47767[/C][/ROW]
[ROW][C]173[/C][C]89193.2857142857[/C][C]24063.4300943311[/C][C]71075[/C][/ROW]
[ROW][C]174[/C][C]86340.1428571429[/C][C]20160.86262563[/C][C]60929[/C][/ROW]
[ROW][C]175[/C][C]102604.285714286[/C][C]24649.0716641573[/C][C]69233[/C][/ROW]
[ROW][C]176[/C][C]137226.428571429[/C][C]48968.4929890542[/C][C]150455[/C][/ROW]
[ROW][C]177[/C][C]123358[/C][C]33355.8701130701[/C][C]99137[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=102835&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=102835&T=1

As an alternative you can also use a QR Code:

The GUIDs for individual cells are displayed in the table below:

Standard Deviation-Mean Plot
Section	Mean	Standard Deviation	Range
1	36396.1428571429	17399.5409271679	52946
2	36128.7142857143	15575.6555422694	43361
3	30392.4285714286	8315.52271071284	21868
4	32040.1428571429	11229.4625194704	31079
5	38223	15042.5726744685	41465
6	26387.2857142857	6184.81807100488	17141
7	26948	7798.59286452798	24056
8	26406.4285714286	7479.92599912465	18529
9	24346.5714285714	8320.420699643	20186
10	21611.8571428571	7681.34971708687	18049
11	26139.2857142857	7346.18308407583	17783
12	24201.5714285714	6286.81309984486	17675
13	26334	7657.95248962367	19624
14	25788.4285714286	7721.8972162965	20960
15	24186.4285714286	6503.87950526819	17301
16	29221.1428571429	8059.19277240948	23202
17	41404.2857142857	12806.5022119532	32761
18	34988.4285714286	8402.51755640619	23043
19	38074.1428571429	7194.50147516772	16794
20	45256.5714285714	17751.5498371001	51317
21	66403	22659.6511594214	54628
22	72673.7142857143	22099.2004735789	70114
23	71685.7142857143	16138.7708300466	49528
24	62874.7142857143	15447.156423479	45363
25	73303	17595.7823450204	51184
26	66227.5714285714	16548.9401156806	46378
27	81461.5714285714	20855.4065480804	58073
28	86241.2857142857	20962.0058177828	56631
29	74409.2857142857	17297.2550492295	40371
30	58095.4285714286	16345.3925093806	42960
31	25658.7142857143	5251.75436447307	14631
32	33558.1428571429	12150.9707078429	30438
33	51965.8571428571	11670.8769368968	29317
34	57870.2857142857	15400.4159977827	40904
35	60605.1428571429	17682.4538307383	45096
36	65964.2857142857	16108.1592545961	41091
37	67444.1428571429	17453.1878122458	47633
38	69832.1428571429	18124.761777088	49796
39	72757.5714285714	15737.2409044824	43334
40	79440.2857142857	19333.3531383314	53747
41	75381.5714285714	13725.8345084145	39276
42	70183	17133.9284656691	42159
43	64263.1428571429	17318.1973410300	46565
44	61455.8571428571	18071.0936620576	49556
45	68660.8571428571	13406.4183811160	36232
46	71399.7142857143	18404.7345332144	48648
47	88110.1428571429	19992.8908817490	49262
48	90234.7142857143	19742.2982342844	52118
49	84902.1428571429	20297.9179098791	59568
50	74722	14499.6139258947	46458
51	71868.8571428571	17970.3317946421	43627
52	72090	14927.3343903056	42346
53	68176.8571428571	15608.3767939801	42159
54	61364.2857142857	6940.1674262774	16501
55	57298.2857142857	11730.5102434391	31399
56	58312.7142857143	16376.6079792111	41278
57	56009.1428571429	15346.0666016689	40504
58	54231.5714285714	16176.6781082844	38502
59	56993	14170.8429177660	37460
60	60277	15870.1112997567	37647
61	63633.8571428571	12203.0839056987	28222
62	55948	13929.0039605613	40531
63	54567.4285714286	14961.993058604	37086
64	49501.8571428571	12833.1367746234	31052
65	52778.4285714286	15042.0428339720	43628
66	56569.8571428571	15180.7122629185	36205
67	58412	17910.6851255519	43574
68	73627.1428571429	18074.9544437284	46698
69	85066.4285714286	25153.1048438501	69100
70	88327.4285714286	16994.4033420530	49101
71	85363.7142857143	17780.7910745865	50569
72	92077	20455.7760628467	55910
73	100430	31414.7371732865	98950
74	97333.1428571429	27908.2613003663	89018
75	93164	28065.4612350008	78098
76	100457	24754.2470632146	74306
77	115725.571428571	34542.0601193055	94838
78	79474.7142857143	12373.9070185921	41385
79	90139.2857142857	21472.1584128089	65442
80	116713.428571429	30069.4581364388	83624
81	122953.714285714	23507.7269049582	65042
82	100159.428571429	19765.2283809821	54361
83	50997	19388.4821737030	53346
84	37330.2857142857	7859.37499029632	18770
85	63607.1428571429	17201.3766544868	51905
86	72101.4285714286	13372.2661113358	38021
87	73993.4285714286	18240.5809470454	50436
88	86985	25430.8046536741	73345
89	85787.2857142857	18284.4416623741	48941
90	67871.2857142857	10143.0622548007	27101
91	75225.5714285714	24147.4560002853	79833
92	97725.8571428571	20480.9481179345	51210
93	101166.285714286	24434.4613931109	63332
94	93694.2857142857	21347.0904474457	58633
95	88258.7142857143	17630.2806719413	46992
96	109355.571428571	36934.5595608284	99271
97	97108.1428571429	21163.5145823228	57298
98	86683.7142857143	18910.2458798953	49822
99	88636.4285714286	21298.0902575571	55856
100	78921.5714285714	11524.6309103176	31345
101	91386.7142857143	31797.9143168976	82770
102	97912.8571428571	21466.1207210228	54441
103	70743.5714285714	11216.7953809922	30224
104	54197.2857142857	11161.0959843301	30331
105	56695.7142857143	18565.309439151	50837
106	62828.8571428571	17910.2742434668	45524
107	76518.5714285714	19689.5745413416	50757
108	78288.1428571429	15926.3146231697	42133
109	67467	13441.3890155246	35378
110	64339.4285714286	16745.5025589673	43173
111	58171.7142857143	15945.8213096126	38075
112	58900.1428571429	14084.9042290978	41866
113	56878.5714285714	15624.3193116494	41305
114	57409	13600.9897924134	35137
115	55028.7142857143	14328.6771745137	37273
116	58633.2857142857	13302.618021957	36392
117	61356.7142857143	17930.5129292154	49475
118	64903.8571428571	15806.5944616856	39569
119	70175.2857142857	19144.1303947562	48540
120	77014.1428571429	21688.4456522251	55696
121	83681.7142857143	22304.1812426451	69633
122	91756.5714285714	19254.8520799057	52599
123	94079.1428571429	21351.5869154853	55242
124	112406.857142857	30595.6091263031	78979
125	107536.285714286	28900.9924495929	84852
126	109496.857142857	26651.9168380598	73906
127	101769.285714286	23136.0728352522	61944
128	114348.428571429	33994.2727277069	81329
129	103416.857142857	23190.6309201839	64801
130	100681.857142857	23088.7982611234	59995
131	92508	15781.3034527148	50410
132	112620.571428571	25645.5669844202	67365
133	114585	22360.2271902590	63600
134	101635.571428571	23720.6465893965	65788
135	47774	18463.4409848219	54628
136	40546	11295.2700425148	27127
137	68603.7142857143	18748.7289143761	54655
138	82026.1428571429	16430.8991783628	46004
139	88930.1428571429	19263.9105447516	47206
140	110904.428571429	34691.3994762253	111446
141	103497	25997.1820844747	68966
142	114730.142857143	31228.8999775772	76415
143	99766.5714285714	20623.6479545298	58687
144	116015.571428571	22614.8221148369	62131
145	123403.571428571	30435.7712834593	81355
146	220183.571428571	95066.5810276446	247802
147	218657.714285714	69167.8480767721	188235
148	114741.285714286	27054.8996099553	71182
149	99675	20559.5710234106	54068
150	97062.1428571429	25544.6316305962	69153
151	102253.428571429	21763.3417766140	53107
152	112128.428571429	25888.5153356795	75801
153	109561.428571429	29147.2195463944	69874
154	102127.571428571	22424.4203110295	58073
155	89189.4285714286	21366.7312806392	58981
156	79272.2857142857	21049.7800282591	66429
157	80454.8571428571	21452.3073229010	59861
158	92660.4285714286	32675.3206658947	97242
159	73978.1428571429	12773.7230206985	33295
160	63721.5714285714	16105.995310827	42293
161	58610.2857142857	11728.5637613802	34149
162	55795.2857142857	14414.2693041107	41438
163	55013.2857142857	14678.888930641	39302
164	58908	15211.9500174479	40023
165	61566.4285714286	15363.0362651956	40264
166	60448.8571428571	14820.8917908536	42346
167	63607	14553.4094287215	37140
168	61532.2857142857	15882.3697928897	40130
169	71823.1428571429	14647.4840209115	40050
170	63740.5714285714	15525.6604782442	43068
171	64938.2857142857	16187.6331882735	45043
172	70514.8571428571	19072.6974357638	47767
173	89193.2857142857	24063.4300943311	71075
174	86340.1428571429	20160.86262563	60929
175	102604.285714286	24649.0716641573	69233
176	137226.428571429	48968.4929890542	150455
177	123358	33355.8701130701	99137

Regression: S.E.(k) = alpha + beta * Mean(k)
alpha	-2567.52471020790
beta	0.288216550517968
S.D.	0.0119226805352950
T-STAT	24.1738046796401
p-value	1.15335573068625e-57

\begin{tabular}{lllllllll}
\hline
Regression: S.E.(k) = alpha + beta * Mean(k) \tabularnewline
alpha & -2567.52471020790 \tabularnewline
beta & 0.288216550517968 \tabularnewline
S.D. & 0.0119226805352950 \tabularnewline
T-STAT & 24.1738046796401 \tabularnewline
p-value & 1.15335573068625e-57 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=102835&T=2

[TABLE]
[ROW][C]Regression: S.E.(k) = alpha + beta * Mean(k)[/C][/ROW]
[ROW][C]alpha[/C][C]-2567.52471020790[/C][/ROW]
[ROW][C]beta[/C][C]0.288216550517968[/C][/ROW]
[ROW][C]S.D.[/C][C]0.0119226805352950[/C][/ROW]
[ROW][C]T-STAT[/C][C]24.1738046796401[/C][/ROW]
[ROW][C]p-value[/C][C]1.15335573068625e-57[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=102835&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=102835&T=2

As an alternative you can also use a QR Code:

The GUIDs for individual cells are displayed in the table below:

Regression: S.E.(k) = alpha + beta * Mean(k)
alpha	-2567.52471020790
beta	0.288216550517968
S.D.	0.0119226805352950
T-STAT	24.1738046796401
p-value	1.15335573068625e-57

Regression: ln S.E.(k) = alpha + beta * ln Mean(k)
alpha	-0.179776552535981
beta	0.892034503283379
S.D.	0.0365213972030173
T-STAT	24.4249829305457
p-value	2.85065938683551e-58
Lambda	0.107965496716621

\begin{tabular}{lllllllll}
\hline
Regression: ln S.E.(k) = alpha + beta * ln Mean(k) \tabularnewline
alpha & -0.179776552535981 \tabularnewline
beta & 0.892034503283379 \tabularnewline
S.D. & 0.0365213972030173 \tabularnewline
T-STAT & 24.4249829305457 \tabularnewline
p-value & 2.85065938683551e-58 \tabularnewline
Lambda & 0.107965496716621 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=102835&T=3

[TABLE]
[ROW][C]Regression: ln S.E.(k) = alpha + beta * ln Mean(k)[/C][/ROW]
[ROW][C]alpha[/C][C]-0.179776552535981[/C][/ROW]
[ROW][C]beta[/C][C]0.892034503283379[/C][/ROW]
[ROW][C]S.D.[/C][C]0.0365213972030173[/C][/ROW]
[ROW][C]T-STAT[/C][C]24.4249829305457[/C][/ROW]
[ROW][C]p-value[/C][C]2.85065938683551e-58[/C][/ROW]
[ROW][C]Lambda[/C][C]0.107965496716621[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=102835&T=3

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=102835&T=3

As an alternative you can also use a QR Code:

The GUIDs for individual cells are displayed in the table below:

Regression: ln S.E.(k) = alpha + beta * ln Mean(k)
alpha	-0.179776552535981
beta	0.892034503283379
S.D.	0.0365213972030173
T-STAT	24.4249829305457
p-value	2.85065938683551e-58
Lambda	0.107965496716621

Figure 1

PNG link

Postscript link

PDF link

Figure 2

PNG link

Postscript link

PDF link

Parameters (Session):

par1 = 1 ; par2 = 0 ; par3 = 0 ; par4 = 12 ;

Parameters (R input):

par1 = 4 ;

R code (references can be found in the software module):

par1 <- 7
(n <- length(x))
(np <- floor(n / par1))
arr <- array(NA,dim=c(par1,np))
j <- 0
k <- 1
for (i in 1:(np*par1))
{
j = j + 1
arr[j,k] <- x[i]
if (j == par1) {
j = 0
k=k+1
}
}
arr
arr.mean <- array(NA,dim=np)
arr.sd <- array(NA,dim=np)
arr.range <- array(NA,dim=np)
for (j in 1:np)
{
arr.mean[j] <- mean(arr[,j],na.rm=TRUE)
arr.sd[j] <- sd(arr[,j],na.rm=TRUE)
arr.range[j] <- max(arr[,j],na.rm=TRUE) - min(arr[,j],na.rm=TRUE)
}
arr.mean
arr.sd
arr.range
(lm1 <- lm(arr.sd~arr.mean))
(lnlm1 <- lm(log(arr.sd)~log(arr.mean)))
(lm2 <- lm(arr.range~arr.mean))
bitmap(file='test1.png')
plot(arr.mean,arr.sd,main='Standard Deviation-Mean Plot',xlab='mean',ylab='standard deviation')
dev.off()
bitmap(file='test2.png')
plot(arr.mean,arr.range,main='Range-Mean Plot',xlab='mean',ylab='range')
dev.off()
load(file='createtable')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Standard Deviation-Mean Plot',4,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Section',header=TRUE)
a<-table.element(a,'Mean',header=TRUE)
a<-table.element(a,'Standard Deviation',header=TRUE)
a<-table.element(a,'Range',header=TRUE)
a<-table.row.end(a)
for (j in 1:np) {
a<-table.row.start(a)
a<-table.element(a,j,header=TRUE)
a<-table.element(a,arr.mean[j])
a<-table.element(a,arr.sd[j] )
a<-table.element(a,arr.range[j] )
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable.tab')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Regression: S.E.(k) = alpha + beta * Mean(k)',2,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'alpha',header=TRUE)
a<-table.element(a,lm1$coefficients[[1]])
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'beta',header=TRUE)
a<-table.element(a,lm1$coefficients[[2]])
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'S.D.',header=TRUE)
a<-table.element(a,summary(lm1)$coefficients[2,2])
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'T-STAT',header=TRUE)
a<-table.element(a,summary(lm1)$coefficients[2,3])
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'p-value',header=TRUE)
a<-table.element(a,summary(lm1)$coefficients[2,4])
a<-table.row.end(a)
a<-table.end(a)
table.save(a,file='mytable1.tab')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Regression: ln S.E.(k) = alpha + beta * ln Mean(k)',2,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'alpha',header=TRUE)
a<-table.element(a,lnlm1$coefficients[[1]])
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'beta',header=TRUE)
a<-table.element(a,lnlm1$coefficients[[2]])
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'S.D.',header=TRUE)
a<-table.element(a,summary(lnlm1)$coefficients[2,2])
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'T-STAT',header=TRUE)
a<-table.element(a,summary(lnlm1)$coefficients[2,3])
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'p-value',header=TRUE)
a<-table.element(a,summary(lnlm1)$coefficients[2,4])
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Lambda',header=TRUE)
a<-table.element(a,1-lnlm1$coefficients[[2]])
a<-table.row.end(a)
a<-table.end(a)
table.save(a,file='mytable2.tab')

Free Statistics

Description of Statistical Computation

Tree of Dependent Computations

Dataset

Tables (Output of Computation)

Figures (Output of Computation)

Input Parameters & R Code