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Author's title

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

Tue, 20 Dec 2011 09:38:17 -0500

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/2011/Dec/20/t1324391959p4hgnzys5jlp8nn.htm/, Retrieved Mon, 06 May 2024 00:51:51 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=157975, Retrieved Mon, 06 May 2024 00:51:51 +0000

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Original text written by user:

IsPrivate?

No (this computation is public)

User-defined keywords

Estimated Impact

127

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

-     [(Partial) Autocorrelation Function] [] [2011-12-05 11:42:22] [aba4febe8a2e49e81bdc61a6c01f5c21]
- RMPD  [Variance Reduction Matrix] [Variance Reductio...] [2011-12-20 13:59:28] [aba4febe8a2e49e81bdc61a6c01f5c21]
- RMP       [Standard Deviation-Mean Plot] [] [2011-12-20 14:38:17] [3627de22d386f4cb93d383ef7c1ade7f] [Current]
- R           [Standard Deviation-Mean Plot] [Standard Deviatio...] [2011-12-20 14:39:46] [aba4febe8a2e49e81bdc61a6c01f5c21] 
- RM          [ARIMA Backward Selection] [] [2011-12-20 14:48:06] [aba4febe8a2e49e81bdc61a6c01f5c21] 
- RM D          [(Partial) Autocorrelation Function] [] [2011-12-20 15:23:33] [aba4febe8a2e49e81bdc61a6c01f5c21] 
- R               [(Partial) Autocorrelation Function] [ACF CV] [2011-12-20 15:24:22] [aba4febe8a2e49e81bdc61a6c01f5c21] 
- RM              [Spectral Analysis] [] [2011-12-20 15:26:09] [aba4febe8a2e49e81bdc61a6c01f5c21] 
- R                 [Spectral Analysis] [Spectral Analysis CV] [2011-12-20 15:26:40] [aba4febe8a2e49e81bdc61a6c01f5c21] 
- RM                [Variance Reduction Matrix] [] [2011-12-20 15:27:08] [aba4febe8a2e49e81bdc61a6c01f5c21] 
- R                   [Variance Reduction Matrix] [VRM CV] [2011-12-20 15:27:35] [aba4febe8a2e49e81bdc61a6c01f5c21] 
- RM                  [Standard Deviation-Mean Plot] [] [2011-12-20 15:29:15] [aba4febe8a2e49e81bdc61a6c01f5c21] 
- R                     [Standard Deviation-Mean Plot] [Standard Deviatio...] [2011-12-20 15:29:48] [aba4febe8a2e49e81bdc61a6c01f5c21] 

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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	1 seconds
R Server	'Gertrude Mary Cox' @ cox.wessa.net

\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 & 1 seconds \tabularnewline
R Server & 'Gertrude Mary Cox' @ cox.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=157975&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]1 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Gertrude Mary Cox' @ cox.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=157975&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=157975&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	1 seconds
R Server	'Gertrude Mary Cox' @ cox.wessa.net

Standard Deviation-Mean Plot
Section	Mean	Standard Deviation	Range
1	1497.25	534.58356066506	1303
2	1234	1331.56399270432	2830
3	1494.5	241.556756615638	572
4	1636.5	371.337672027316	814
5	2233.75	1289.18071528652	3005
6	1818.25	429.649760463877	1022
7	2075.75	545.682065553438	1226
8	1587.25	254.657122421502	590
9	1642.25	674.589937171711	1645
10	1404.25	1108.15293018007	2476
11	1671	689.647252828091	1662
12	2039	792.126673371543	1423
13	2126	1540.33827453582	3390
14	2088.75	871.855635985683	1935
15	1163.5	776.434800868689	1757
16	2574.75	1511.43582397666	3579
17	2396	639.365831638403	1379
18	1934.5	521.460449123421	1248
19	1746.75	396.251077811363	880
20	1466.5	477.031445504382	1050
21	1631.25	251.115345342866	454
22	1444.75	39.7104100541239	86
23	1700.25	903.995713485412	2100
24	1662.25	948.035996152045	2067
25	2016.5	387.850916375524	921
26	1814.5	492.566408382328	1064
27	1801.5	741.502303884935	1598
28	2030.5	602.971806969447	1454
29	1479.5	614.125122973052	1412
30	1688.25	602.491701187659	1272
31	1538.25	392.212846126522	862
32	1153	244.765193603993	567
33	1175.25	721.644591656216	1553
34	1574.75	810.496709843209	1865
35	799.5	636.011792343507	1355
36	1558.25	846.637417473777	1899
37	1362.5	226.770809408971	468
38	1324	666.004504489271	1590
39	2282.75	721.445019850208	1501
40	1301	591.532473044943	1230
41	2329.25	1291.04979893625	2569
42	1490.25	196.949020476535	452
43	1966.25	1011.37212900758	2406
44	1823.25	428.445543019569	943
45	1579	570.810534824531	1240
46	1196	673.261712362535	1438
47	798.75	1097.78454929311	2288
48	1211.75	340.00036764686	767
49	1358.75	41.282562904936	89
50	926	342.413979465403	791
51	961.75	417.066241741045	903
52	1174	459.324866878915	972
53	1224	23.6784008469041	50
54	795.75	216.1933933619	496
55	783.75	235.222412480897	534
56	1340.25	604.991115637246	1343
57	941	626.952417120576	1502
58	1106.5	344.931394144787	823
59	964.75	356.851392972855	788
60	896.5	298.333705772579	621
61	1030.5	480.47511208525	1071
62	1056	425.34770090676	951
63	1019.5	430.949726379617	1043
64	753	498.620095864577	990
65	620.25	184.799666305615	423
66	657.5	141.780346545869	317
67	744	115.582582309504	220
68	948.5	363.987637152692	789
69	922.25	227.658186762523	461
70	694.75	355.098460524214	860
71	861.75	267.582230351718	654
72	791.25	127.11772758615	305

\begin{tabular}{lllllllll}
\hline
Standard Deviation-Mean Plot \tabularnewline
Section & Mean & Standard Deviation & Range \tabularnewline
1 & 1497.25 & 534.58356066506 & 1303 \tabularnewline
2 & 1234 & 1331.56399270432 & 2830 \tabularnewline
3 & 1494.5 & 241.556756615638 & 572 \tabularnewline
4 & 1636.5 & 371.337672027316 & 814 \tabularnewline
5 & 2233.75 & 1289.18071528652 & 3005 \tabularnewline
6 & 1818.25 & 429.649760463877 & 1022 \tabularnewline
7 & 2075.75 & 545.682065553438 & 1226 \tabularnewline
8 & 1587.25 & 254.657122421502 & 590 \tabularnewline
9 & 1642.25 & 674.589937171711 & 1645 \tabularnewline
10 & 1404.25 & 1108.15293018007 & 2476 \tabularnewline
11 & 1671 & 689.647252828091 & 1662 \tabularnewline
12 & 2039 & 792.126673371543 & 1423 \tabularnewline
13 & 2126 & 1540.33827453582 & 3390 \tabularnewline
14 & 2088.75 & 871.855635985683 & 1935 \tabularnewline
15 & 1163.5 & 776.434800868689 & 1757 \tabularnewline
16 & 2574.75 & 1511.43582397666 & 3579 \tabularnewline
17 & 2396 & 639.365831638403 & 1379 \tabularnewline
18 & 1934.5 & 521.460449123421 & 1248 \tabularnewline
19 & 1746.75 & 396.251077811363 & 880 \tabularnewline
20 & 1466.5 & 477.031445504382 & 1050 \tabularnewline
21 & 1631.25 & 251.115345342866 & 454 \tabularnewline
22 & 1444.75 & 39.7104100541239 & 86 \tabularnewline
23 & 1700.25 & 903.995713485412 & 2100 \tabularnewline
24 & 1662.25 & 948.035996152045 & 2067 \tabularnewline
25 & 2016.5 & 387.850916375524 & 921 \tabularnewline
26 & 1814.5 & 492.566408382328 & 1064 \tabularnewline
27 & 1801.5 & 741.502303884935 & 1598 \tabularnewline
28 & 2030.5 & 602.971806969447 & 1454 \tabularnewline
29 & 1479.5 & 614.125122973052 & 1412 \tabularnewline
30 & 1688.25 & 602.491701187659 & 1272 \tabularnewline
31 & 1538.25 & 392.212846126522 & 862 \tabularnewline
32 & 1153 & 244.765193603993 & 567 \tabularnewline
33 & 1175.25 & 721.644591656216 & 1553 \tabularnewline
34 & 1574.75 & 810.496709843209 & 1865 \tabularnewline
35 & 799.5 & 636.011792343507 & 1355 \tabularnewline
36 & 1558.25 & 846.637417473777 & 1899 \tabularnewline
37 & 1362.5 & 226.770809408971 & 468 \tabularnewline
38 & 1324 & 666.004504489271 & 1590 \tabularnewline
39 & 2282.75 & 721.445019850208 & 1501 \tabularnewline
40 & 1301 & 591.532473044943 & 1230 \tabularnewline
41 & 2329.25 & 1291.04979893625 & 2569 \tabularnewline
42 & 1490.25 & 196.949020476535 & 452 \tabularnewline
43 & 1966.25 & 1011.37212900758 & 2406 \tabularnewline
44 & 1823.25 & 428.445543019569 & 943 \tabularnewline
45 & 1579 & 570.810534824531 & 1240 \tabularnewline
46 & 1196 & 673.261712362535 & 1438 \tabularnewline
47 & 798.75 & 1097.78454929311 & 2288 \tabularnewline
48 & 1211.75 & 340.00036764686 & 767 \tabularnewline
49 & 1358.75 & 41.282562904936 & 89 \tabularnewline
50 & 926 & 342.413979465403 & 791 \tabularnewline
51 & 961.75 & 417.066241741045 & 903 \tabularnewline
52 & 1174 & 459.324866878915 & 972 \tabularnewline
53 & 1224 & 23.6784008469041 & 50 \tabularnewline
54 & 795.75 & 216.1933933619 & 496 \tabularnewline
55 & 783.75 & 235.222412480897 & 534 \tabularnewline
56 & 1340.25 & 604.991115637246 & 1343 \tabularnewline
57 & 941 & 626.952417120576 & 1502 \tabularnewline
58 & 1106.5 & 344.931394144787 & 823 \tabularnewline
59 & 964.75 & 356.851392972855 & 788 \tabularnewline
60 & 896.5 & 298.333705772579 & 621 \tabularnewline
61 & 1030.5 & 480.47511208525 & 1071 \tabularnewline
62 & 1056 & 425.34770090676 & 951 \tabularnewline
63 & 1019.5 & 430.949726379617 & 1043 \tabularnewline
64 & 753 & 498.620095864577 & 990 \tabularnewline
65 & 620.25 & 184.799666305615 & 423 \tabularnewline
66 & 657.5 & 141.780346545869 & 317 \tabularnewline
67 & 744 & 115.582582309504 & 220 \tabularnewline
68 & 948.5 & 363.987637152692 & 789 \tabularnewline
69 & 922.25 & 227.658186762523 & 461 \tabularnewline
70 & 694.75 & 355.098460524214 & 860 \tabularnewline
71 & 861.75 & 267.582230351718 & 654 \tabularnewline
72 & 791.25 & 127.11772758615 & 305 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=157975&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]1497.25[/C][C]534.58356066506[/C][C]1303[/C][/ROW]
[ROW][C]2[/C][C]1234[/C][C]1331.56399270432[/C][C]2830[/C][/ROW]
[ROW][C]3[/C][C]1494.5[/C][C]241.556756615638[/C][C]572[/C][/ROW]
[ROW][C]4[/C][C]1636.5[/C][C]371.337672027316[/C][C]814[/C][/ROW]
[ROW][C]5[/C][C]2233.75[/C][C]1289.18071528652[/C][C]3005[/C][/ROW]
[ROW][C]6[/C][C]1818.25[/C][C]429.649760463877[/C][C]1022[/C][/ROW]
[ROW][C]7[/C][C]2075.75[/C][C]545.682065553438[/C][C]1226[/C][/ROW]
[ROW][C]8[/C][C]1587.25[/C][C]254.657122421502[/C][C]590[/C][/ROW]
[ROW][C]9[/C][C]1642.25[/C][C]674.589937171711[/C][C]1645[/C][/ROW]
[ROW][C]10[/C][C]1404.25[/C][C]1108.15293018007[/C][C]2476[/C][/ROW]
[ROW][C]11[/C][C]1671[/C][C]689.647252828091[/C][C]1662[/C][/ROW]
[ROW][C]12[/C][C]2039[/C][C]792.126673371543[/C][C]1423[/C][/ROW]
[ROW][C]13[/C][C]2126[/C][C]1540.33827453582[/C][C]3390[/C][/ROW]
[ROW][C]14[/C][C]2088.75[/C][C]871.855635985683[/C][C]1935[/C][/ROW]
[ROW][C]15[/C][C]1163.5[/C][C]776.434800868689[/C][C]1757[/C][/ROW]
[ROW][C]16[/C][C]2574.75[/C][C]1511.43582397666[/C][C]3579[/C][/ROW]
[ROW][C]17[/C][C]2396[/C][C]639.365831638403[/C][C]1379[/C][/ROW]
[ROW][C]18[/C][C]1934.5[/C][C]521.460449123421[/C][C]1248[/C][/ROW]
[ROW][C]19[/C][C]1746.75[/C][C]396.251077811363[/C][C]880[/C][/ROW]
[ROW][C]20[/C][C]1466.5[/C][C]477.031445504382[/C][C]1050[/C][/ROW]
[ROW][C]21[/C][C]1631.25[/C][C]251.115345342866[/C][C]454[/C][/ROW]
[ROW][C]22[/C][C]1444.75[/C][C]39.7104100541239[/C][C]86[/C][/ROW]
[ROW][C]23[/C][C]1700.25[/C][C]903.995713485412[/C][C]2100[/C][/ROW]
[ROW][C]24[/C][C]1662.25[/C][C]948.035996152045[/C][C]2067[/C][/ROW]
[ROW][C]25[/C][C]2016.5[/C][C]387.850916375524[/C][C]921[/C][/ROW]
[ROW][C]26[/C][C]1814.5[/C][C]492.566408382328[/C][C]1064[/C][/ROW]
[ROW][C]27[/C][C]1801.5[/C][C]741.502303884935[/C][C]1598[/C][/ROW]
[ROW][C]28[/C][C]2030.5[/C][C]602.971806969447[/C][C]1454[/C][/ROW]
[ROW][C]29[/C][C]1479.5[/C][C]614.125122973052[/C][C]1412[/C][/ROW]
[ROW][C]30[/C][C]1688.25[/C][C]602.491701187659[/C][C]1272[/C][/ROW]
[ROW][C]31[/C][C]1538.25[/C][C]392.212846126522[/C][C]862[/C][/ROW]
[ROW][C]32[/C][C]1153[/C][C]244.765193603993[/C][C]567[/C][/ROW]
[ROW][C]33[/C][C]1175.25[/C][C]721.644591656216[/C][C]1553[/C][/ROW]
[ROW][C]34[/C][C]1574.75[/C][C]810.496709843209[/C][C]1865[/C][/ROW]
[ROW][C]35[/C][C]799.5[/C][C]636.011792343507[/C][C]1355[/C][/ROW]
[ROW][C]36[/C][C]1558.25[/C][C]846.637417473777[/C][C]1899[/C][/ROW]
[ROW][C]37[/C][C]1362.5[/C][C]226.770809408971[/C][C]468[/C][/ROW]
[ROW][C]38[/C][C]1324[/C][C]666.004504489271[/C][C]1590[/C][/ROW]
[ROW][C]39[/C][C]2282.75[/C][C]721.445019850208[/C][C]1501[/C][/ROW]
[ROW][C]40[/C][C]1301[/C][C]591.532473044943[/C][C]1230[/C][/ROW]
[ROW][C]41[/C][C]2329.25[/C][C]1291.04979893625[/C][C]2569[/C][/ROW]
[ROW][C]42[/C][C]1490.25[/C][C]196.949020476535[/C][C]452[/C][/ROW]
[ROW][C]43[/C][C]1966.25[/C][C]1011.37212900758[/C][C]2406[/C][/ROW]
[ROW][C]44[/C][C]1823.25[/C][C]428.445543019569[/C][C]943[/C][/ROW]
[ROW][C]45[/C][C]1579[/C][C]570.810534824531[/C][C]1240[/C][/ROW]
[ROW][C]46[/C][C]1196[/C][C]673.261712362535[/C][C]1438[/C][/ROW]
[ROW][C]47[/C][C]798.75[/C][C]1097.78454929311[/C][C]2288[/C][/ROW]
[ROW][C]48[/C][C]1211.75[/C][C]340.00036764686[/C][C]767[/C][/ROW]
[ROW][C]49[/C][C]1358.75[/C][C]41.282562904936[/C][C]89[/C][/ROW]
[ROW][C]50[/C][C]926[/C][C]342.413979465403[/C][C]791[/C][/ROW]
[ROW][C]51[/C][C]961.75[/C][C]417.066241741045[/C][C]903[/C][/ROW]
[ROW][C]52[/C][C]1174[/C][C]459.324866878915[/C][C]972[/C][/ROW]
[ROW][C]53[/C][C]1224[/C][C]23.6784008469041[/C][C]50[/C][/ROW]
[ROW][C]54[/C][C]795.75[/C][C]216.1933933619[/C][C]496[/C][/ROW]
[ROW][C]55[/C][C]783.75[/C][C]235.222412480897[/C][C]534[/C][/ROW]
[ROW][C]56[/C][C]1340.25[/C][C]604.991115637246[/C][C]1343[/C][/ROW]
[ROW][C]57[/C][C]941[/C][C]626.952417120576[/C][C]1502[/C][/ROW]
[ROW][C]58[/C][C]1106.5[/C][C]344.931394144787[/C][C]823[/C][/ROW]
[ROW][C]59[/C][C]964.75[/C][C]356.851392972855[/C][C]788[/C][/ROW]
[ROW][C]60[/C][C]896.5[/C][C]298.333705772579[/C][C]621[/C][/ROW]
[ROW][C]61[/C][C]1030.5[/C][C]480.47511208525[/C][C]1071[/C][/ROW]
[ROW][C]62[/C][C]1056[/C][C]425.34770090676[/C][C]951[/C][/ROW]
[ROW][C]63[/C][C]1019.5[/C][C]430.949726379617[/C][C]1043[/C][/ROW]
[ROW][C]64[/C][C]753[/C][C]498.620095864577[/C][C]990[/C][/ROW]
[ROW][C]65[/C][C]620.25[/C][C]184.799666305615[/C][C]423[/C][/ROW]
[ROW][C]66[/C][C]657.5[/C][C]141.780346545869[/C][C]317[/C][/ROW]
[ROW][C]67[/C][C]744[/C][C]115.582582309504[/C][C]220[/C][/ROW]
[ROW][C]68[/C][C]948.5[/C][C]363.987637152692[/C][C]789[/C][/ROW]
[ROW][C]69[/C][C]922.25[/C][C]227.658186762523[/C][C]461[/C][/ROW]
[ROW][C]70[/C][C]694.75[/C][C]355.098460524214[/C][C]860[/C][/ROW]
[ROW][C]71[/C][C]861.75[/C][C]267.582230351718[/C][C]654[/C][/ROW]
[ROW][C]72[/C][C]791.25[/C][C]127.11772758615[/C][C]305[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=157975&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=157975&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	1497.25	534.58356066506	1303
2	1234	1331.56399270432	2830
3	1494.5	241.556756615638	572
4	1636.5	371.337672027316	814
5	2233.75	1289.18071528652	3005
6	1818.25	429.649760463877	1022
7	2075.75	545.682065553438	1226
8	1587.25	254.657122421502	590
9	1642.25	674.589937171711	1645
10	1404.25	1108.15293018007	2476
11	1671	689.647252828091	1662
12	2039	792.126673371543	1423
13	2126	1540.33827453582	3390
14	2088.75	871.855635985683	1935
15	1163.5	776.434800868689	1757
16	2574.75	1511.43582397666	3579
17	2396	639.365831638403	1379
18	1934.5	521.460449123421	1248
19	1746.75	396.251077811363	880
20	1466.5	477.031445504382	1050
21	1631.25	251.115345342866	454
22	1444.75	39.7104100541239	86
23	1700.25	903.995713485412	2100
24	1662.25	948.035996152045	2067
25	2016.5	387.850916375524	921
26	1814.5	492.566408382328	1064
27	1801.5	741.502303884935	1598
28	2030.5	602.971806969447	1454
29	1479.5	614.125122973052	1412
30	1688.25	602.491701187659	1272
31	1538.25	392.212846126522	862
32	1153	244.765193603993	567
33	1175.25	721.644591656216	1553
34	1574.75	810.496709843209	1865
35	799.5	636.011792343507	1355
36	1558.25	846.637417473777	1899
37	1362.5	226.770809408971	468
38	1324	666.004504489271	1590
39	2282.75	721.445019850208	1501
40	1301	591.532473044943	1230
41	2329.25	1291.04979893625	2569
42	1490.25	196.949020476535	452
43	1966.25	1011.37212900758	2406
44	1823.25	428.445543019569	943
45	1579	570.810534824531	1240
46	1196	673.261712362535	1438
47	798.75	1097.78454929311	2288
48	1211.75	340.00036764686	767
49	1358.75	41.282562904936	89
50	926	342.413979465403	791
51	961.75	417.066241741045	903
52	1174	459.324866878915	972
53	1224	23.6784008469041	50
54	795.75	216.1933933619	496
55	783.75	235.222412480897	534
56	1340.25	604.991115637246	1343
57	941	626.952417120576	1502
58	1106.5	344.931394144787	823
59	964.75	356.851392972855	788
60	896.5	298.333705772579	621
61	1030.5	480.47511208525	1071
62	1056	425.34770090676	951
63	1019.5	430.949726379617	1043
64	753	498.620095864577	990
65	620.25	184.799666305615	423
66	657.5	141.780346545869	317
67	744	115.582582309504	220
68	948.5	363.987637152692	789
69	922.25	227.658186762523	461
70	694.75	355.098460524214	860
71	861.75	267.582230351718	654
72	791.25	127.11772758615	305

Regression: S.E.(k) = alpha + beta * Mean(k)
alpha	16.7422651343555
beta	0.376256705251368
S.D.	0.0718310991875057
T-STAT	5.23807528364837
p-value	1.62858686679754e-06

\begin{tabular}{lllllllll}
\hline
Regression: S.E.(k) = alpha + beta * Mean(k) \tabularnewline
alpha & 16.7422651343555 \tabularnewline
beta & 0.376256705251368 \tabularnewline
S.D. & 0.0718310991875057 \tabularnewline
T-STAT & 5.23807528364837 \tabularnewline
p-value & 1.62858686679754e-06 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=157975&T=2

[TABLE]
[ROW][C]Regression: S.E.(k) = alpha + beta * Mean(k)[/C][/ROW]
[ROW][C]alpha[/C][C]16.7422651343555[/C][/ROW]
[ROW][C]beta[/C][C]0.376256705251368[/C][/ROW]
[ROW][C]S.D.[/C][C]0.0718310991875057[/C][/ROW]
[ROW][C]T-STAT[/C][C]5.23807528364837[/C][/ROW]
[ROW][C]p-value[/C][C]1.62858686679754e-06[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=157975&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=157975&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	16.7422651343555
beta	0.376256705251368
S.D.	0.0718310991875057
T-STAT	5.23807528364837
p-value	1.62858686679754e-06

Regression: ln S.E.(k) = alpha + beta * ln Mean(k)
alpha	-0.688212087109952
beta	0.93984751993199
S.D.	0.240953299548393
T-STAT	3.90053807809854
p-value	0.000217823833331323
Lambda	0.06015248006801

\begin{tabular}{lllllllll}
\hline
Regression: ln S.E.(k) = alpha + beta * ln Mean(k) \tabularnewline
alpha & -0.688212087109952 \tabularnewline
beta & 0.93984751993199 \tabularnewline
S.D. & 0.240953299548393 \tabularnewline
T-STAT & 3.90053807809854 \tabularnewline
p-value & 0.000217823833331323 \tabularnewline
Lambda & 0.06015248006801 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=157975&T=3

[TABLE]
[ROW][C]Regression: ln S.E.(k) = alpha + beta * ln Mean(k)[/C][/ROW]
[ROW][C]alpha[/C][C]-0.688212087109952[/C][/ROW]
[ROW][C]beta[/C][C]0.93984751993199[/C][/ROW]
[ROW][C]S.D.[/C][C]0.240953299548393[/C][/ROW]
[ROW][C]T-STAT[/C][C]3.90053807809854[/C][/ROW]
[ROW][C]p-value[/C][C]0.000217823833331323[/C][/ROW]
[ROW][C]Lambda[/C][C]0.06015248006801[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=157975&T=3

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=157975&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	-0.688212087109952
beta	0.93984751993199
S.D.	0.240953299548393
T-STAT	3.90053807809854
p-value	0.000217823833331323
Lambda	0.06015248006801

Figure 1

PNG link

Postscript link

PDF link

Figure 2

PNG link

Postscript link

PDF link

Parameters (Session):

par1 = 4 ;

Parameters (R input):

par1 = 4 ;

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

par1 <- as.numeric(par1)
(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