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Description of Statistical Computation

Author's title

Author*Unverified author*
R Software Modulerwasp_smp.wasp
Title produced by softwareStandard Deviation-Mean Plot
Date of computationWed, 16 Jul 2008 03:30:15 -0600
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2008/Jul/16/t1216201003zx852s7x2rofnp3.htm/, Retrieved Fri, 22 May 2026 10:58:28 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=13846, Retrieved Fri, 22 May 2026 10:58:28 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact586

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Standard Deviation-Mean Plot] [smp] [2008-07-16 09:30:15] [d41d8cd98f00b204e9800998ecf8427e] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
385.34

438.82

317.22

505.15

513.57

515.48

519.31

524.42

430.38

527.86

467.25

547.68

428.10

519.38

404.74

377.95

439.90

434.65

472.25

434.87

468.36

486.00

476.66

422.87

321.15

360.79

435.66

493.59

472.93

469.13

608.37

562.38

525.81

415.59

398.06

436.89

434.64

432.37

436.46

454.18

353.71

486.32

397.47

340.25

427.57

472.29

466.95

463.79

332.87

396.88

400.09

513.36

559.07

602.50

436.19

309.19

443.44

429.61

669.12

441.38

440.42

471.11

372.26

308.55

330.52

439.67

442.34

434.54

490.87

343.64

343.52

338.43

424.45

358.84

341.53

330.08

497.54

333.63

362.37

398.84

471.53

289.33

351.94

510.98

461.96

347.99

436.01

499.40

516.88

421.33

291.39

374.25

398.23

365.47

399.48

356.31

355.06

389.09

285.71

392.00

456.03

421.94

403.81

396.69

502.69

358.37

521.93

463.62

426.42

485.72

401.01

531.99

430.61

343.58

315.35

307.93

443.44

424.78

409.02

396.94

337.55

403.86

393.54

330.80

269.71

297.89

416.37

532.98

427.62

260.76

299.12

339.37

409.16

416.12

388.47

374.89

430.87

494.00

477.09

458.11

404.04

327.33

308.86

354.60

345.44

490.86

558.26

372.58

380.16

367.25

321.93

303.80

411.05

501.10

376.05

593.39

378.92

544.44

436.73

325.05

350.66

366.97

316.25

332.28

354.60

567.46

464.75

418.27

370.65

500.30

435.10

414.71

470.80

475.48

589.40

769.36

437.62

337.55

383.22

328.85

330.94

370.53

536.53

484.39

410.36

429.90

420.29

487.75

542.87

478.49

393.81

332.17

437.82

433.74

473.94

492.12

429.77

486.14

523.94

400.85

365.03

309.43

340.65

400.06

407.61

427.46

512.95

457.17

438.17

339.29

326.90

405.07

518.25

512.58

606.84

551.57

460.45

410.94

478.40

516.75

460.18

434.73

425.87

416.21

400.46

408.78

450.60

352.62

519.44

294.28

344.59

438.06

350.12

437.82

428.98

446.66

409.37

463.74

560.29

572.95

477.94

394.91

370.99

446.05

448.95

341.22

235.96

334.07

457.87

614.63

414.79

403.80

501.73

386.21

448.13

374.19

423.79

454.79

390.30

358.65

335.02

321.85

329.94

342.15

584.59

451.13

423.44

442.77

370.56

383.49

428.35

432.89

508.39

554.24

415.83

383.48

287.35

280.27

424.89

376.05

421.94

382.62

508.37

290.79

206.38

308.37

505.04

511.66

596.84

330.39

293.53

560.72

482.61

563.69

295.73

295.19

338.19

407.33

477.14

428.89

614.89

628.98

786.59

472.22

319.54

331.44

317.86

300.61

373.81

401.00

569.96

349.32

417.30

495.64

465.46

431.26

415.03

466.93

506.33

478.20

486.57

450.41

713.47

754.51

375.60

343.75

551.51

447.13

396.40

474.09

525.82

591.87

654.39

668.46

732.83

531.97

471.77

525.22

415.67

483.73

533.49

534.96

479.64

573.62

599.54

768.71

566.73

570.12

574.29

617.31

638.50

507.23

493.42

642.42

697.01

535.03

432.21

446.66

631.22

703.81

561.97

652.98

709.05

539.00

458.89

523.21

573.84

766.18

571.81

677.80

580.64

565.14

611.92

569.39

547.63

525.80

523.33

607.71

526.63

515.49

514.28

493.10

495.36

629.82

657.57

669.76

632.46

636.75

610.52

474.27

376.10

330.56

480.97

491.44

582.88

670.05

616.88

645.68

854.13

559.46

603.91

511.72

480.74

397.82

441.76

558.62

484.92

527.55

520.59

550.67

797.42

697.64

504.57

470.89

711.13

757.07

563.30

600.92

546.61

532.03

571.56

683.56

415.58

542.94

458.98

454.34

498.52

470.67

633.98

791.30

905.45

523.65

707.17

720.68

835.48

741.77

671.46

540.95

459.91

512.47

693.51

526.15

389.69

462.10

516.48

798.05

1006.19

588.32

713.47

641.86

838.13

528.20

776.93

707.60

663.77

455.82

546.17

557.09

495.37

570.79

525.78

658.06

659.04

543.52

791.38

750.78

561.69

540.96

451.16

476.54

495.21

617.02

673.62

510.93

503.34

525.76

642.56

820.75

475.15

392.97

381.11

385.35

497.83

549.93

506.81

525.68

497.76

541.69

663.20

678.64

651.17

497.86

583.47

808.68

701.64

551.62

522.52

537.05

537.05

539.26

656.62

651.66

632.86

835.90

841.35

741.25

618.01

777.69

764.89

756.84

801.02

755.34




590.96

744.05

633.14

534.92

572.22

685.11

727.19

720.30

684.20

614.93

575.72

620.94

655.86

772.21

756.25

687.71

603.68

653.91

658.03

875.81

874.00

622.04

599.86

738.64

919.68

897.71

687.41

645.95

662.24

822.04

736.15

693.71

682.87

786.37

880.52

791.95

914.20

773.57

609.17

588.11

781.70

878.29

761.48

664.59

717.18

691.07

610.89

713.66

787.88

719.53

652.11

695.46

739.78

819.39

824.47

774.19

739.28

710.02

671.53

562.67

625.09

702.37

806.92

822.81

758.54

753.24

725.16

715.06

732.43

692.81

716.50

860.77

714.09

645.90

581.26

555.99

576.22

669.32

854.82

889.11

823.62

653.60

565.62

549.91

639.70

670.66

665.73

528.24

474.14

502.55

594.40

767.06

765.84

589.06

578.99

680.74

644.80

652.78

658.08

552.37

569.73

700.34

605.86

589.14

573.16

597.47

600.00

553.42

499.14

489.79

472.83

501.34

491.06

453.77

484.71

566.38

457.66

403.04

365.00

379.49

426.48

479.02

523.12

406.11

399.38

403.81

425.48

399.38

416.23

437.43

410.49

438.55

468.95

531.23

449.37

444.73

470.40

422.93

475.12

578.56

555.82

583.90

494.33

455.60

441.78

430.74

354.89

326.81

382.20

402.06

419.86

399.31

350.37

348.73

294.49

226.73

238.97

221.57

199.37

210.14

283.55

352.49

251.66

180.66

323.39

429.25

435.36

424.63

389.79

362.98

365.56

388.13

447.39

481.22

519.89

525.06

497.16

508.05

451.48

352.42

371.14

302.85

296.23

284.45

286.10

266.88

271.51

256.11

259.78

243.45

236.43

232.80

226.41

222.40

241.52

205.09

227.62

360.59

378.85

289.30

321.45

298.97

296.12

291.20

246.31

247.13

237.60

249.05

218.01

201.32

192.78

184.83

166.84

154.30

147.24

139.44

124.68

113.20

119.97

128.81

128.21

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time3 seconds
R Server'Herman Ole Andreas Wold' @ 193.190.124.10:1001

\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 & 3 seconds \tabularnewline
R Server & 'Herman Ole Andreas Wold' @ 193.190.124.10:1001 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=13846&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]3 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Herman Ole Andreas Wold' @ 193.190.124.10:1001[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=13846&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=13846&T=0

As an alternative you can also use a QR Code:  
QR Code


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

Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time3 seconds
R Server'Herman Ole Andreas Wold' @ 193.190.124.10:1001






Standard Deviation-Mean Plot
SectionMeanStandard DeviationRange
1411.632579.7698745872567187.93
2518.1954.7873339831963110.8499999999999
3493.292554.1267237600799117.3
4432.542561.4106594303193141.43
5445.417518.05191287186337.6
6463.472528.011004236430663.13
7402.797576.9288985037482172.44
8528.202568.6526014923445139.24
9444.087556.7480081148228127.75
10439.41259.9861549991308921.81
11394.437565.9459482581505146.07
12457.6520.357845334579744.72
13410.875.0557770372586180.49
14476.7375132.049373941467293.31
15495.8875115.648913923420239.51
16398.08572.5909767119854162.56
17411.767554.2616201840675111.82
18379.11574.5428934685706152.44
19363.72542.17421368561694.37
20398.09571.4653176956021163.91
21405.945103.036145275982221.65
22436.3464.3914575079645151.41
23400.962594.1123305328974225.49
24379.872522.241667166229543.17
25355.46549.4347074432529106.29
26419.617526.500386632399659.34
27461.652573.0036512214743163.56
28461.28559.0053955160035130.98
29349.367556.2971156010679122.68
30418.54520.134033376350646.5
31366.437537.592144902004973.06
32379.2375120.594731608253263.27
33331.717571.5388334519558166.86
34397.1618.929259538256341.23
35465.017527.077025162795663.13
36348.707541.397374614823195.18
37441.785100.077423861062212.82
38343.28536.282172389940176.36
39470.397597.4566144069589217.34
40421.28593.9178195729295219.39
41341.5422.024160975316850.72
42451.2789.6584545186156212.86
43430.1953.926376353939129.65
44576.26139.926992392462298.56
45371.8149.9348021590821108.77
46430.597596.0122378918438205.59
47437.07534.712455497510877.39
48436.83592.708275610469210.7
49459.40528.320439615232058.38
50460.17555.3295463563547123.09
51353.792538.330665160764890.63
52451.297545.8706190460372105.34
53377.357553.1075533704952111.27
54547.3143.253612565888794.26
55466.63543.9322042090613105.81
56434.247518.870270047528943.97
57403.11540.181718479925797.98
58399.092599.9302581386973225.16
59415.89544.440067131662596.54
60501.587578.475241265425163.58
61422.472548.4516297455514106.95
62340.0587.0460939196393212.99
63472.772597.407752728757210.83
64427.56559.111457152287127.54
65406.882541.562585238007896.14
66332.248.5474869601148320.3000000000000
67475.482573.6569079697666161.15
68403.822531.444778448363562.33
69465.48579.3908645038374170.76
70342.1470.3024219592279144.62
71400.9390.2789185432199217.58
72382.8625150.788309532492305.28
73445.37155.482656481894303.31
74409.305135.560398715849268.5
75412.887557.7207821470453138.95
76625.67128.54222834021314.37
77317.362512.699229307324130.83
78423.522599.8808424657435220.64
79452.41535.209704628127778.34
80466.622538.177675304641991.3
81601.24154.904447536753304.1
82429.497592.1150177314571207.76
83497.04582.6158364560532195.47
84646.912583.8923971028762200.86
85474.097545.1865948964218109.55
86530.427538.621603086873593.98
87626.27596.0928032338184201.98
88584.332557.9289244822193131.27
89591.9794.0440857612357203.59
90553.475135.104332153587271.6
91615.7579.317534421253170.05
92580.53132.404117005477307.29
93598.847553.0164511417604112.66
94563.68536.752317387252486.12
95543.2943.200052469104092.22
96533.1465.1491928832072136.72
97649.13517.587720147875937.3000000000000
98447.8625123.914690109769279.96
99556.33588.5569167259113189.08
100669.0375128.49440931418294.67
101498.547585.1232586214445206.09
102503.212550.9029477699147116.86
103641.58129.527394013776276.83
104610.915144.130253474649286.18
105560.71529.692336272737768.89
106553.41110.113842302713267.98
107470.627519.823725473953344.18
108713.595168.586337228140381.8
109751.27557.9141091042013128.31
110546.197590.0024204767109211.55
111517.8625129.689851922449303.82
112727.26221.017119246451489.71
113680.415129.900665253621309.93
114651.03138.227139882152321.11
115542.35532.902957820435175.42
116596.671.9004960576304133.26
117661.2025128.233259433737250.42
118509.982573.6064772398915165.86
119553.412580.6773860818507170.28
120582.8575189.574434172086427.78
121453.55583.9615314692786168.82
122517.98519.622022491748143.9300000000001
123622.717583.9942436023644180.78
124661.3525117.523586675186257.06
125533.977.7040984763522616.74
126694.2694.9796104435052203.04
127744.57593.9711989565598223.34
128769.522521.412937483368945.6799999999999
129625.767588.5248249080448209.13
130676.20571.7310218803552154.97
131623.947544.894750528319108.48
132718.007555.3192253350195116.35
133697.8575121.180452597218272.13
134708.635125.931962980016274.14
135787.6875141.034353350522273.73
136728.53569.3036336228724159.8
137785.427580.8373999148909197.65
138721.2625153.030792407933326.09
139771.51587.6323602710018213.7
140683.249.5752794579449106.29
141713.74556.7529115259003135.77
142789.457540.094805461555884.69
143670.87577.2880458630786176.61
144739.297593.0127831268369197.72
14573821.175917138737343.48
146750.627575.2109674515626167.96
147624.3170.8225514931508158.1
148747.3675149.465553528787312.89
149648.1875125.541117135649273.71
150626.082566.6274940121068142.42
151584.5375132.062220278928292.92
152653.657587.6858933447488186.85
153627.007550.0568059808054105.71
154616.267557.9601629713605130.61
155581.012522.018040141362946.58
156490.77512.969010499391728.51
157498.9847.7949209295995112.61
158401.297540.713811231571192.66
159458.682552.809955106337117.01
160407.012512.487522772752026.1
161425.67514.419175889534528.06
162473.5739.84723160605686.5
163486.752565.5861974173428155.63
164522.412558.1644527038064128.3
165388.55556.4454075486512114.97
166400.857515.416853061936337.66
167305.0858.3306014598398123.64
168217.512516.935088573727639.6
169267.0971.3496587237809171.83
170403.157553.3596035561235111.97
171376.61514.309694848831226.81
172493.3936.374660594063777.67
173452.277570.9393329425456155.63
174313.667539.063347164146986.69
175270.1512.437397905778629.99
176243.11511.957186123833626.9800000000000
177223.85514.975786011647836.43
178314.0969.3967160606321151.23
179301.93513.400011194025230.25
180245.02255.0798121684435111.4500000000000
181199.23514.212892035050433.18
182151.95511.632120758199427.4
183121.6656.700012437799415.61

\begin{tabular}{lllllllll}
\hline
Standard Deviation-Mean Plot \tabularnewline
Section & Mean & Standard Deviation & Range \tabularnewline
1 & 411.6325 & 79.7698745872567 & 187.93 \tabularnewline
2 & 518.195 & 4.78733398319631 & 10.8499999999999 \tabularnewline
3 & 493.2925 & 54.1267237600799 & 117.3 \tabularnewline
4 & 432.5425 & 61.4106594303193 & 141.43 \tabularnewline
5 & 445.4175 & 18.051912871863 & 37.6 \tabularnewline
6 & 463.4725 & 28.0110042364306 & 63.13 \tabularnewline
7 & 402.7975 & 76.9288985037482 & 172.44 \tabularnewline
8 & 528.2025 & 68.6526014923445 & 139.24 \tabularnewline
9 & 444.0875 & 56.7480081148228 & 127.75 \tabularnewline
10 & 439.4125 & 9.98615499913089 & 21.81 \tabularnewline
11 & 394.4375 & 65.9459482581505 & 146.07 \tabularnewline
12 & 457.65 & 20.3578453345797 & 44.72 \tabularnewline
13 & 410.8 & 75.0557770372586 & 180.49 \tabularnewline
14 & 476.7375 & 132.049373941467 & 293.31 \tabularnewline
15 & 495.8875 & 115.648913923420 & 239.51 \tabularnewline
16 & 398.085 & 72.5909767119854 & 162.56 \tabularnewline
17 & 411.7675 & 54.2616201840675 & 111.82 \tabularnewline
18 & 379.115 & 74.5428934685706 & 152.44 \tabularnewline
19 & 363.725 & 42.174213685616 & 94.37 \tabularnewline
20 & 398.095 & 71.4653176956021 & 163.91 \tabularnewline
21 & 405.945 & 103.036145275982 & 221.65 \tabularnewline
22 & 436.34 & 64.3914575079645 & 151.41 \tabularnewline
23 & 400.9625 & 94.1123305328974 & 225.49 \tabularnewline
24 & 379.8725 & 22.2416671662295 & 43.17 \tabularnewline
25 & 355.465 & 49.4347074432529 & 106.29 \tabularnewline
26 & 419.6175 & 26.5003866323996 & 59.34 \tabularnewline
27 & 461.6525 & 73.0036512214743 & 163.56 \tabularnewline
28 & 461.285 & 59.0053955160035 & 130.98 \tabularnewline
29 & 349.3675 & 56.2971156010679 & 122.68 \tabularnewline
30 & 418.545 & 20.1340333763506 & 46.5 \tabularnewline
31 & 366.4375 & 37.5921449020049 & 73.06 \tabularnewline
32 & 379.2375 & 120.594731608253 & 263.27 \tabularnewline
33 & 331.7175 & 71.5388334519558 & 166.86 \tabularnewline
34 & 397.16 & 18.9292595382563 & 41.23 \tabularnewline
35 & 465.0175 & 27.0770251627956 & 63.13 \tabularnewline
36 & 348.7075 & 41.3973746148231 & 95.18 \tabularnewline
37 & 441.785 & 100.077423861062 & 212.82 \tabularnewline
38 & 343.285 & 36.2821723899401 & 76.36 \tabularnewline
39 & 470.3975 & 97.4566144069589 & 217.34 \tabularnewline
40 & 421.285 & 93.9178195729295 & 219.39 \tabularnewline
41 & 341.54 & 22.0241609753168 & 50.72 \tabularnewline
42 & 451.27 & 89.6584545186156 & 212.86 \tabularnewline
43 & 430.19 & 53.926376353939 & 129.65 \tabularnewline
44 & 576.26 & 139.926992392462 & 298.56 \tabularnewline
45 & 371.81 & 49.9348021590821 & 108.77 \tabularnewline
46 & 430.5975 & 96.0122378918438 & 205.59 \tabularnewline
47 & 437.075 & 34.7124554975108 & 77.39 \tabularnewline
48 & 436.835 & 92.708275610469 & 210.7 \tabularnewline
49 & 459.405 & 28.3204396152320 & 58.38 \tabularnewline
50 & 460.175 & 55.3295463563547 & 123.09 \tabularnewline
51 & 353.7925 & 38.3306651607648 & 90.63 \tabularnewline
52 & 451.2975 & 45.8706190460372 & 105.34 \tabularnewline
53 & 377.3575 & 53.1075533704952 & 111.27 \tabularnewline
54 & 547.31 & 43.2536125658887 & 94.26 \tabularnewline
55 & 466.635 & 43.9322042090613 & 105.81 \tabularnewline
56 & 434.2475 & 18.8702700475289 & 43.97 \tabularnewline
57 & 403.115 & 40.1817184799257 & 97.98 \tabularnewline
58 & 399.0925 & 99.9302581386973 & 225.16 \tabularnewline
59 & 415.895 & 44.4400671316625 & 96.54 \tabularnewline
60 & 501.5875 & 78.475241265425 & 163.58 \tabularnewline
61 & 422.4725 & 48.4516297455514 & 106.95 \tabularnewline
62 & 340.05 & 87.0460939196393 & 212.99 \tabularnewline
63 & 472.7725 & 97.407752728757 & 210.83 \tabularnewline
64 & 427.565 & 59.111457152287 & 127.54 \tabularnewline
65 & 406.8825 & 41.5625852380078 & 96.14 \tabularnewline
66 & 332.24 & 8.54748696011483 & 20.3000000000000 \tabularnewline
67 & 475.4825 & 73.6569079697666 & 161.15 \tabularnewline
68 & 403.8225 & 31.4447784483635 & 62.33 \tabularnewline
69 & 465.485 & 79.3908645038374 & 170.76 \tabularnewline
70 & 342.14 & 70.3024219592279 & 144.62 \tabularnewline
71 & 400.93 & 90.2789185432199 & 217.58 \tabularnewline
72 & 382.8625 & 150.788309532492 & 305.28 \tabularnewline
73 & 445.37 & 155.482656481894 & 303.31 \tabularnewline
74 & 409.305 & 135.560398715849 & 268.5 \tabularnewline
75 & 412.8875 & 57.7207821470453 & 138.95 \tabularnewline
76 & 625.67 & 128.54222834021 & 314.37 \tabularnewline
77 & 317.3625 & 12.6992293073241 & 30.83 \tabularnewline
78 & 423.5225 & 99.8808424657435 & 220.64 \tabularnewline
79 & 452.415 & 35.2097046281277 & 78.34 \tabularnewline
80 & 466.6225 & 38.1776753046419 & 91.3 \tabularnewline
81 & 601.24 & 154.904447536753 & 304.1 \tabularnewline
82 & 429.4975 & 92.1150177314571 & 207.76 \tabularnewline
83 & 497.045 & 82.6158364560532 & 195.47 \tabularnewline
84 & 646.9125 & 83.8923971028762 & 200.86 \tabularnewline
85 & 474.0975 & 45.1865948964218 & 109.55 \tabularnewline
86 & 530.4275 & 38.6216030868735 & 93.98 \tabularnewline
87 & 626.275 & 96.0928032338184 & 201.98 \tabularnewline
88 & 584.3325 & 57.9289244822193 & 131.27 \tabularnewline
89 & 591.97 & 94.0440857612357 & 203.59 \tabularnewline
90 & 553.475 & 135.104332153587 & 271.6 \tabularnewline
91 & 615.75 & 79.317534421253 & 170.05 \tabularnewline
92 & 580.53 & 132.404117005477 & 307.29 \tabularnewline
93 & 598.8475 & 53.0164511417604 & 112.66 \tabularnewline
94 & 563.685 & 36.7523173872524 & 86.12 \tabularnewline
95 & 543.29 & 43.2000524691040 & 92.22 \tabularnewline
96 & 533.14 & 65.1491928832072 & 136.72 \tabularnewline
97 & 649.135 & 17.5877201478759 & 37.3000000000000 \tabularnewline
98 & 447.8625 & 123.914690109769 & 279.96 \tabularnewline
99 & 556.335 & 88.5569167259113 & 189.08 \tabularnewline
100 & 669.0375 & 128.49440931418 & 294.67 \tabularnewline
101 & 498.5475 & 85.1232586214445 & 206.09 \tabularnewline
102 & 503.2125 & 50.9029477699147 & 116.86 \tabularnewline
103 & 641.58 & 129.527394013776 & 276.83 \tabularnewline
104 & 610.915 & 144.130253474649 & 286.18 \tabularnewline
105 & 560.715 & 29.6923362727377 & 68.89 \tabularnewline
106 & 553.41 & 110.113842302713 & 267.98 \tabularnewline
107 & 470.6275 & 19.8237254739533 & 44.18 \tabularnewline
108 & 713.595 & 168.586337228140 & 381.8 \tabularnewline
109 & 751.275 & 57.9141091042013 & 128.31 \tabularnewline
110 & 546.1975 & 90.0024204767109 & 211.55 \tabularnewline
111 & 517.8625 & 129.689851922449 & 303.82 \tabularnewline
112 & 727.26 & 221.017119246451 & 489.71 \tabularnewline
113 & 680.415 & 129.900665253621 & 309.93 \tabularnewline
114 & 651.03 & 138.227139882152 & 321.11 \tabularnewline
115 & 542.355 & 32.9029578204351 & 75.42 \tabularnewline
116 & 596.6 & 71.9004960576304 & 133.26 \tabularnewline
117 & 661.2025 & 128.233259433737 & 250.42 \tabularnewline
118 & 509.9825 & 73.6064772398915 & 165.86 \tabularnewline
119 & 553.4125 & 80.6773860818507 & 170.28 \tabularnewline
120 & 582.8575 & 189.574434172086 & 427.78 \tabularnewline
121 & 453.555 & 83.9615314692786 & 168.82 \tabularnewline
122 & 517.985 & 19.6220224917481 & 43.9300000000001 \tabularnewline
123 & 622.7175 & 83.9942436023644 & 180.78 \tabularnewline
124 & 661.3525 & 117.523586675186 & 257.06 \tabularnewline
125 & 533.97 & 7.70409847635226 & 16.74 \tabularnewline
126 & 694.26 & 94.9796104435052 & 203.04 \tabularnewline
127 & 744.575 & 93.9711989565598 & 223.34 \tabularnewline
128 & 769.5225 & 21.4129374833689 & 45.6799999999999 \tabularnewline
129 & 625.7675 & 88.5248249080448 & 209.13 \tabularnewline
130 & 676.205 & 71.7310218803552 & 154.97 \tabularnewline
131 & 623.9475 & 44.894750528319 & 108.48 \tabularnewline
132 & 718.0075 & 55.3192253350195 & 116.35 \tabularnewline
133 & 697.8575 & 121.180452597218 & 272.13 \tabularnewline
134 & 708.635 & 125.931962980016 & 274.14 \tabularnewline
135 & 787.6875 & 141.034353350522 & 273.73 \tabularnewline
136 & 728.535 & 69.3036336228724 & 159.8 \tabularnewline
137 & 785.4275 & 80.8373999148909 & 197.65 \tabularnewline
138 & 721.2625 & 153.030792407933 & 326.09 \tabularnewline
139 & 771.515 & 87.6323602710018 & 213.7 \tabularnewline
140 & 683.2 & 49.5752794579449 & 106.29 \tabularnewline
141 & 713.745 & 56.7529115259003 & 135.77 \tabularnewline
142 & 789.4575 & 40.0948054615558 & 84.69 \tabularnewline
143 & 670.875 & 77.2880458630786 & 176.61 \tabularnewline
144 & 739.2975 & 93.0127831268369 & 197.72 \tabularnewline
145 & 738 & 21.1759171387373 & 43.48 \tabularnewline
146 & 750.6275 & 75.2109674515626 & 167.96 \tabularnewline
147 & 624.31 & 70.8225514931508 & 158.1 \tabularnewline
148 & 747.3675 & 149.465553528787 & 312.89 \tabularnewline
149 & 648.1875 & 125.541117135649 & 273.71 \tabularnewline
150 & 626.0825 & 66.6274940121068 & 142.42 \tabularnewline
151 & 584.5375 & 132.062220278928 & 292.92 \tabularnewline
152 & 653.6575 & 87.6858933447488 & 186.85 \tabularnewline
153 & 627.0075 & 50.0568059808054 & 105.71 \tabularnewline
154 & 616.2675 & 57.9601629713605 & 130.61 \tabularnewline
155 & 581.0125 & 22.0180401413629 & 46.58 \tabularnewline
156 & 490.775 & 12.9690104993917 & 28.51 \tabularnewline
157 & 498.98 & 47.7949209295995 & 112.61 \tabularnewline
158 & 401.2975 & 40.7138112315711 & 92.66 \tabularnewline
159 & 458.6825 & 52.809955106337 & 117.01 \tabularnewline
160 & 407.0125 & 12.4875227727520 & 26.1 \tabularnewline
161 & 425.675 & 14.4191758895345 & 28.06 \tabularnewline
162 & 473.57 & 39.847231606056 & 86.5 \tabularnewline
163 & 486.7525 & 65.5861974173428 & 155.63 \tabularnewline
164 & 522.4125 & 58.1644527038064 & 128.3 \tabularnewline
165 & 388.555 & 56.4454075486512 & 114.97 \tabularnewline
166 & 400.8575 & 15.4168530619363 & 37.66 \tabularnewline
167 & 305.08 & 58.3306014598398 & 123.64 \tabularnewline
168 & 217.5125 & 16.9350885737276 & 39.6 \tabularnewline
169 & 267.09 & 71.3496587237809 & 171.83 \tabularnewline
170 & 403.1575 & 53.3596035561235 & 111.97 \tabularnewline
171 & 376.615 & 14.3096948488312 & 26.81 \tabularnewline
172 & 493.39 & 36.3746605940637 & 77.67 \tabularnewline
173 & 452.2775 & 70.9393329425456 & 155.63 \tabularnewline
174 & 313.6675 & 39.0633471641469 & 86.69 \tabularnewline
175 & 270.15 & 12.4373979057786 & 29.99 \tabularnewline
176 & 243.115 & 11.9571861238336 & 26.9800000000000 \tabularnewline
177 & 223.855 & 14.9757860116478 & 36.43 \tabularnewline
178 & 314.09 & 69.3967160606321 & 151.23 \tabularnewline
179 & 301.935 & 13.4000111940252 & 30.25 \tabularnewline
180 & 245.0225 & 5.07981216844351 & 11.4500000000000 \tabularnewline
181 & 199.235 & 14.2128920350504 & 33.18 \tabularnewline
182 & 151.955 & 11.6321207581994 & 27.4 \tabularnewline
183 & 121.665 & 6.7000124377994 & 15.61 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=13846&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]411.6325[/C][C]79.7698745872567[/C][C]187.93[/C][/ROW]
[ROW][C]2[/C][C]518.195[/C][C]4.78733398319631[/C][C]10.8499999999999[/C][/ROW]
[ROW][C]3[/C][C]493.2925[/C][C]54.1267237600799[/C][C]117.3[/C][/ROW]
[ROW][C]4[/C][C]432.5425[/C][C]61.4106594303193[/C][C]141.43[/C][/ROW]
[ROW][C]5[/C][C]445.4175[/C][C]18.051912871863[/C][C]37.6[/C][/ROW]
[ROW][C]6[/C][C]463.4725[/C][C]28.0110042364306[/C][C]63.13[/C][/ROW]
[ROW][C]7[/C][C]402.7975[/C][C]76.9288985037482[/C][C]172.44[/C][/ROW]
[ROW][C]8[/C][C]528.2025[/C][C]68.6526014923445[/C][C]139.24[/C][/ROW]
[ROW][C]9[/C][C]444.0875[/C][C]56.7480081148228[/C][C]127.75[/C][/ROW]
[ROW][C]10[/C][C]439.4125[/C][C]9.98615499913089[/C][C]21.81[/C][/ROW]
[ROW][C]11[/C][C]394.4375[/C][C]65.9459482581505[/C][C]146.07[/C][/ROW]
[ROW][C]12[/C][C]457.65[/C][C]20.3578453345797[/C][C]44.72[/C][/ROW]
[ROW][C]13[/C][C]410.8[/C][C]75.0557770372586[/C][C]180.49[/C][/ROW]
[ROW][C]14[/C][C]476.7375[/C][C]132.049373941467[/C][C]293.31[/C][/ROW]
[ROW][C]15[/C][C]495.8875[/C][C]115.648913923420[/C][C]239.51[/C][/ROW]
[ROW][C]16[/C][C]398.085[/C][C]72.5909767119854[/C][C]162.56[/C][/ROW]
[ROW][C]17[/C][C]411.7675[/C][C]54.2616201840675[/C][C]111.82[/C][/ROW]
[ROW][C]18[/C][C]379.115[/C][C]74.5428934685706[/C][C]152.44[/C][/ROW]
[ROW][C]19[/C][C]363.725[/C][C]42.174213685616[/C][C]94.37[/C][/ROW]
[ROW][C]20[/C][C]398.095[/C][C]71.4653176956021[/C][C]163.91[/C][/ROW]
[ROW][C]21[/C][C]405.945[/C][C]103.036145275982[/C][C]221.65[/C][/ROW]
[ROW][C]22[/C][C]436.34[/C][C]64.3914575079645[/C][C]151.41[/C][/ROW]
[ROW][C]23[/C][C]400.9625[/C][C]94.1123305328974[/C][C]225.49[/C][/ROW]
[ROW][C]24[/C][C]379.8725[/C][C]22.2416671662295[/C][C]43.17[/C][/ROW]
[ROW][C]25[/C][C]355.465[/C][C]49.4347074432529[/C][C]106.29[/C][/ROW]
[ROW][C]26[/C][C]419.6175[/C][C]26.5003866323996[/C][C]59.34[/C][/ROW]
[ROW][C]27[/C][C]461.6525[/C][C]73.0036512214743[/C][C]163.56[/C][/ROW]
[ROW][C]28[/C][C]461.285[/C][C]59.0053955160035[/C][C]130.98[/C][/ROW]
[ROW][C]29[/C][C]349.3675[/C][C]56.2971156010679[/C][C]122.68[/C][/ROW]
[ROW][C]30[/C][C]418.545[/C][C]20.1340333763506[/C][C]46.5[/C][/ROW]
[ROW][C]31[/C][C]366.4375[/C][C]37.5921449020049[/C][C]73.06[/C][/ROW]
[ROW][C]32[/C][C]379.2375[/C][C]120.594731608253[/C][C]263.27[/C][/ROW]
[ROW][C]33[/C][C]331.7175[/C][C]71.5388334519558[/C][C]166.86[/C][/ROW]
[ROW][C]34[/C][C]397.16[/C][C]18.9292595382563[/C][C]41.23[/C][/ROW]
[ROW][C]35[/C][C]465.0175[/C][C]27.0770251627956[/C][C]63.13[/C][/ROW]
[ROW][C]36[/C][C]348.7075[/C][C]41.3973746148231[/C][C]95.18[/C][/ROW]
[ROW][C]37[/C][C]441.785[/C][C]100.077423861062[/C][C]212.82[/C][/ROW]
[ROW][C]38[/C][C]343.285[/C][C]36.2821723899401[/C][C]76.36[/C][/ROW]
[ROW][C]39[/C][C]470.3975[/C][C]97.4566144069589[/C][C]217.34[/C][/ROW]
[ROW][C]40[/C][C]421.285[/C][C]93.9178195729295[/C][C]219.39[/C][/ROW]
[ROW][C]41[/C][C]341.54[/C][C]22.0241609753168[/C][C]50.72[/C][/ROW]
[ROW][C]42[/C][C]451.27[/C][C]89.6584545186156[/C][C]212.86[/C][/ROW]
[ROW][C]43[/C][C]430.19[/C][C]53.926376353939[/C][C]129.65[/C][/ROW]
[ROW][C]44[/C][C]576.26[/C][C]139.926992392462[/C][C]298.56[/C][/ROW]
[ROW][C]45[/C][C]371.81[/C][C]49.9348021590821[/C][C]108.77[/C][/ROW]
[ROW][C]46[/C][C]430.5975[/C][C]96.0122378918438[/C][C]205.59[/C][/ROW]
[ROW][C]47[/C][C]437.075[/C][C]34.7124554975108[/C][C]77.39[/C][/ROW]
[ROW][C]48[/C][C]436.835[/C][C]92.708275610469[/C][C]210.7[/C][/ROW]
[ROW][C]49[/C][C]459.405[/C][C]28.3204396152320[/C][C]58.38[/C][/ROW]
[ROW][C]50[/C][C]460.175[/C][C]55.3295463563547[/C][C]123.09[/C][/ROW]
[ROW][C]51[/C][C]353.7925[/C][C]38.3306651607648[/C][C]90.63[/C][/ROW]
[ROW][C]52[/C][C]451.2975[/C][C]45.8706190460372[/C][C]105.34[/C][/ROW]
[ROW][C]53[/C][C]377.3575[/C][C]53.1075533704952[/C][C]111.27[/C][/ROW]
[ROW][C]54[/C][C]547.31[/C][C]43.2536125658887[/C][C]94.26[/C][/ROW]
[ROW][C]55[/C][C]466.635[/C][C]43.9322042090613[/C][C]105.81[/C][/ROW]
[ROW][C]56[/C][C]434.2475[/C][C]18.8702700475289[/C][C]43.97[/C][/ROW]
[ROW][C]57[/C][C]403.115[/C][C]40.1817184799257[/C][C]97.98[/C][/ROW]
[ROW][C]58[/C][C]399.0925[/C][C]99.9302581386973[/C][C]225.16[/C][/ROW]
[ROW][C]59[/C][C]415.895[/C][C]44.4400671316625[/C][C]96.54[/C][/ROW]
[ROW][C]60[/C][C]501.5875[/C][C]78.475241265425[/C][C]163.58[/C][/ROW]
[ROW][C]61[/C][C]422.4725[/C][C]48.4516297455514[/C][C]106.95[/C][/ROW]
[ROW][C]62[/C][C]340.05[/C][C]87.0460939196393[/C][C]212.99[/C][/ROW]
[ROW][C]63[/C][C]472.7725[/C][C]97.407752728757[/C][C]210.83[/C][/ROW]
[ROW][C]64[/C][C]427.565[/C][C]59.111457152287[/C][C]127.54[/C][/ROW]
[ROW][C]65[/C][C]406.8825[/C][C]41.5625852380078[/C][C]96.14[/C][/ROW]
[ROW][C]66[/C][C]332.24[/C][C]8.54748696011483[/C][C]20.3000000000000[/C][/ROW]
[ROW][C]67[/C][C]475.4825[/C][C]73.6569079697666[/C][C]161.15[/C][/ROW]
[ROW][C]68[/C][C]403.8225[/C][C]31.4447784483635[/C][C]62.33[/C][/ROW]
[ROW][C]69[/C][C]465.485[/C][C]79.3908645038374[/C][C]170.76[/C][/ROW]
[ROW][C]70[/C][C]342.14[/C][C]70.3024219592279[/C][C]144.62[/C][/ROW]
[ROW][C]71[/C][C]400.93[/C][C]90.2789185432199[/C][C]217.58[/C][/ROW]
[ROW][C]72[/C][C]382.8625[/C][C]150.788309532492[/C][C]305.28[/C][/ROW]
[ROW][C]73[/C][C]445.37[/C][C]155.482656481894[/C][C]303.31[/C][/ROW]
[ROW][C]74[/C][C]409.305[/C][C]135.560398715849[/C][C]268.5[/C][/ROW]
[ROW][C]75[/C][C]412.8875[/C][C]57.7207821470453[/C][C]138.95[/C][/ROW]
[ROW][C]76[/C][C]625.67[/C][C]128.54222834021[/C][C]314.37[/C][/ROW]
[ROW][C]77[/C][C]317.3625[/C][C]12.6992293073241[/C][C]30.83[/C][/ROW]
[ROW][C]78[/C][C]423.5225[/C][C]99.8808424657435[/C][C]220.64[/C][/ROW]
[ROW][C]79[/C][C]452.415[/C][C]35.2097046281277[/C][C]78.34[/C][/ROW]
[ROW][C]80[/C][C]466.6225[/C][C]38.1776753046419[/C][C]91.3[/C][/ROW]
[ROW][C]81[/C][C]601.24[/C][C]154.904447536753[/C][C]304.1[/C][/ROW]
[ROW][C]82[/C][C]429.4975[/C][C]92.1150177314571[/C][C]207.76[/C][/ROW]
[ROW][C]83[/C][C]497.045[/C][C]82.6158364560532[/C][C]195.47[/C][/ROW]
[ROW][C]84[/C][C]646.9125[/C][C]83.8923971028762[/C][C]200.86[/C][/ROW]
[ROW][C]85[/C][C]474.0975[/C][C]45.1865948964218[/C][C]109.55[/C][/ROW]
[ROW][C]86[/C][C]530.4275[/C][C]38.6216030868735[/C][C]93.98[/C][/ROW]
[ROW][C]87[/C][C]626.275[/C][C]96.0928032338184[/C][C]201.98[/C][/ROW]
[ROW][C]88[/C][C]584.3325[/C][C]57.9289244822193[/C][C]131.27[/C][/ROW]
[ROW][C]89[/C][C]591.97[/C][C]94.0440857612357[/C][C]203.59[/C][/ROW]
[ROW][C]90[/C][C]553.475[/C][C]135.104332153587[/C][C]271.6[/C][/ROW]
[ROW][C]91[/C][C]615.75[/C][C]79.317534421253[/C][C]170.05[/C][/ROW]
[ROW][C]92[/C][C]580.53[/C][C]132.404117005477[/C][C]307.29[/C][/ROW]
[ROW][C]93[/C][C]598.8475[/C][C]53.0164511417604[/C][C]112.66[/C][/ROW]
[ROW][C]94[/C][C]563.685[/C][C]36.7523173872524[/C][C]86.12[/C][/ROW]
[ROW][C]95[/C][C]543.29[/C][C]43.2000524691040[/C][C]92.22[/C][/ROW]
[ROW][C]96[/C][C]533.14[/C][C]65.1491928832072[/C][C]136.72[/C][/ROW]
[ROW][C]97[/C][C]649.135[/C][C]17.5877201478759[/C][C]37.3000000000000[/C][/ROW]
[ROW][C]98[/C][C]447.8625[/C][C]123.914690109769[/C][C]279.96[/C][/ROW]
[ROW][C]99[/C][C]556.335[/C][C]88.5569167259113[/C][C]189.08[/C][/ROW]
[ROW][C]100[/C][C]669.0375[/C][C]128.49440931418[/C][C]294.67[/C][/ROW]
[ROW][C]101[/C][C]498.5475[/C][C]85.1232586214445[/C][C]206.09[/C][/ROW]
[ROW][C]102[/C][C]503.2125[/C][C]50.9029477699147[/C][C]116.86[/C][/ROW]
[ROW][C]103[/C][C]641.58[/C][C]129.527394013776[/C][C]276.83[/C][/ROW]
[ROW][C]104[/C][C]610.915[/C][C]144.130253474649[/C][C]286.18[/C][/ROW]
[ROW][C]105[/C][C]560.715[/C][C]29.6923362727377[/C][C]68.89[/C][/ROW]
[ROW][C]106[/C][C]553.41[/C][C]110.113842302713[/C][C]267.98[/C][/ROW]
[ROW][C]107[/C][C]470.6275[/C][C]19.8237254739533[/C][C]44.18[/C][/ROW]
[ROW][C]108[/C][C]713.595[/C][C]168.586337228140[/C][C]381.8[/C][/ROW]
[ROW][C]109[/C][C]751.275[/C][C]57.9141091042013[/C][C]128.31[/C][/ROW]
[ROW][C]110[/C][C]546.1975[/C][C]90.0024204767109[/C][C]211.55[/C][/ROW]
[ROW][C]111[/C][C]517.8625[/C][C]129.689851922449[/C][C]303.82[/C][/ROW]
[ROW][C]112[/C][C]727.26[/C][C]221.017119246451[/C][C]489.71[/C][/ROW]
[ROW][C]113[/C][C]680.415[/C][C]129.900665253621[/C][C]309.93[/C][/ROW]
[ROW][C]114[/C][C]651.03[/C][C]138.227139882152[/C][C]321.11[/C][/ROW]
[ROW][C]115[/C][C]542.355[/C][C]32.9029578204351[/C][C]75.42[/C][/ROW]
[ROW][C]116[/C][C]596.6[/C][C]71.9004960576304[/C][C]133.26[/C][/ROW]
[ROW][C]117[/C][C]661.2025[/C][C]128.233259433737[/C][C]250.42[/C][/ROW]
[ROW][C]118[/C][C]509.9825[/C][C]73.6064772398915[/C][C]165.86[/C][/ROW]
[ROW][C]119[/C][C]553.4125[/C][C]80.6773860818507[/C][C]170.28[/C][/ROW]
[ROW][C]120[/C][C]582.8575[/C][C]189.574434172086[/C][C]427.78[/C][/ROW]
[ROW][C]121[/C][C]453.555[/C][C]83.9615314692786[/C][C]168.82[/C][/ROW]
[ROW][C]122[/C][C]517.985[/C][C]19.6220224917481[/C][C]43.9300000000001[/C][/ROW]
[ROW][C]123[/C][C]622.7175[/C][C]83.9942436023644[/C][C]180.78[/C][/ROW]
[ROW][C]124[/C][C]661.3525[/C][C]117.523586675186[/C][C]257.06[/C][/ROW]
[ROW][C]125[/C][C]533.97[/C][C]7.70409847635226[/C][C]16.74[/C][/ROW]
[ROW][C]126[/C][C]694.26[/C][C]94.9796104435052[/C][C]203.04[/C][/ROW]
[ROW][C]127[/C][C]744.575[/C][C]93.9711989565598[/C][C]223.34[/C][/ROW]
[ROW][C]128[/C][C]769.5225[/C][C]21.4129374833689[/C][C]45.6799999999999[/C][/ROW]
[ROW][C]129[/C][C]625.7675[/C][C]88.5248249080448[/C][C]209.13[/C][/ROW]
[ROW][C]130[/C][C]676.205[/C][C]71.7310218803552[/C][C]154.97[/C][/ROW]
[ROW][C]131[/C][C]623.9475[/C][C]44.894750528319[/C][C]108.48[/C][/ROW]
[ROW][C]132[/C][C]718.0075[/C][C]55.3192253350195[/C][C]116.35[/C][/ROW]
[ROW][C]133[/C][C]697.8575[/C][C]121.180452597218[/C][C]272.13[/C][/ROW]
[ROW][C]134[/C][C]708.635[/C][C]125.931962980016[/C][C]274.14[/C][/ROW]
[ROW][C]135[/C][C]787.6875[/C][C]141.034353350522[/C][C]273.73[/C][/ROW]
[ROW][C]136[/C][C]728.535[/C][C]69.3036336228724[/C][C]159.8[/C][/ROW]
[ROW][C]137[/C][C]785.4275[/C][C]80.8373999148909[/C][C]197.65[/C][/ROW]
[ROW][C]138[/C][C]721.2625[/C][C]153.030792407933[/C][C]326.09[/C][/ROW]
[ROW][C]139[/C][C]771.515[/C][C]87.6323602710018[/C][C]213.7[/C][/ROW]
[ROW][C]140[/C][C]683.2[/C][C]49.5752794579449[/C][C]106.29[/C][/ROW]
[ROW][C]141[/C][C]713.745[/C][C]56.7529115259003[/C][C]135.77[/C][/ROW]
[ROW][C]142[/C][C]789.4575[/C][C]40.0948054615558[/C][C]84.69[/C][/ROW]
[ROW][C]143[/C][C]670.875[/C][C]77.2880458630786[/C][C]176.61[/C][/ROW]
[ROW][C]144[/C][C]739.2975[/C][C]93.0127831268369[/C][C]197.72[/C][/ROW]
[ROW][C]145[/C][C]738[/C][C]21.1759171387373[/C][C]43.48[/C][/ROW]
[ROW][C]146[/C][C]750.6275[/C][C]75.2109674515626[/C][C]167.96[/C][/ROW]
[ROW][C]147[/C][C]624.31[/C][C]70.8225514931508[/C][C]158.1[/C][/ROW]
[ROW][C]148[/C][C]747.3675[/C][C]149.465553528787[/C][C]312.89[/C][/ROW]
[ROW][C]149[/C][C]648.1875[/C][C]125.541117135649[/C][C]273.71[/C][/ROW]
[ROW][C]150[/C][C]626.0825[/C][C]66.6274940121068[/C][C]142.42[/C][/ROW]
[ROW][C]151[/C][C]584.5375[/C][C]132.062220278928[/C][C]292.92[/C][/ROW]
[ROW][C]152[/C][C]653.6575[/C][C]87.6858933447488[/C][C]186.85[/C][/ROW]
[ROW][C]153[/C][C]627.0075[/C][C]50.0568059808054[/C][C]105.71[/C][/ROW]
[ROW][C]154[/C][C]616.2675[/C][C]57.9601629713605[/C][C]130.61[/C][/ROW]
[ROW][C]155[/C][C]581.0125[/C][C]22.0180401413629[/C][C]46.58[/C][/ROW]
[ROW][C]156[/C][C]490.775[/C][C]12.9690104993917[/C][C]28.51[/C][/ROW]
[ROW][C]157[/C][C]498.98[/C][C]47.7949209295995[/C][C]112.61[/C][/ROW]
[ROW][C]158[/C][C]401.2975[/C][C]40.7138112315711[/C][C]92.66[/C][/ROW]
[ROW][C]159[/C][C]458.6825[/C][C]52.809955106337[/C][C]117.01[/C][/ROW]
[ROW][C]160[/C][C]407.0125[/C][C]12.4875227727520[/C][C]26.1[/C][/ROW]
[ROW][C]161[/C][C]425.675[/C][C]14.4191758895345[/C][C]28.06[/C][/ROW]
[ROW][C]162[/C][C]473.57[/C][C]39.847231606056[/C][C]86.5[/C][/ROW]
[ROW][C]163[/C][C]486.7525[/C][C]65.5861974173428[/C][C]155.63[/C][/ROW]
[ROW][C]164[/C][C]522.4125[/C][C]58.1644527038064[/C][C]128.3[/C][/ROW]
[ROW][C]165[/C][C]388.555[/C][C]56.4454075486512[/C][C]114.97[/C][/ROW]
[ROW][C]166[/C][C]400.8575[/C][C]15.4168530619363[/C][C]37.66[/C][/ROW]
[ROW][C]167[/C][C]305.08[/C][C]58.3306014598398[/C][C]123.64[/C][/ROW]
[ROW][C]168[/C][C]217.5125[/C][C]16.9350885737276[/C][C]39.6[/C][/ROW]
[ROW][C]169[/C][C]267.09[/C][C]71.3496587237809[/C][C]171.83[/C][/ROW]
[ROW][C]170[/C][C]403.1575[/C][C]53.3596035561235[/C][C]111.97[/C][/ROW]
[ROW][C]171[/C][C]376.615[/C][C]14.3096948488312[/C][C]26.81[/C][/ROW]
[ROW][C]172[/C][C]493.39[/C][C]36.3746605940637[/C][C]77.67[/C][/ROW]
[ROW][C]173[/C][C]452.2775[/C][C]70.9393329425456[/C][C]155.63[/C][/ROW]
[ROW][C]174[/C][C]313.6675[/C][C]39.0633471641469[/C][C]86.69[/C][/ROW]
[ROW][C]175[/C][C]270.15[/C][C]12.4373979057786[/C][C]29.99[/C][/ROW]
[ROW][C]176[/C][C]243.115[/C][C]11.9571861238336[/C][C]26.9800000000000[/C][/ROW]
[ROW][C]177[/C][C]223.855[/C][C]14.9757860116478[/C][C]36.43[/C][/ROW]
[ROW][C]178[/C][C]314.09[/C][C]69.3967160606321[/C][C]151.23[/C][/ROW]
[ROW][C]179[/C][C]301.935[/C][C]13.4000111940252[/C][C]30.25[/C][/ROW]
[ROW][C]180[/C][C]245.0225[/C][C]5.07981216844351[/C][C]11.4500000000000[/C][/ROW]
[ROW][C]181[/C][C]199.235[/C][C]14.2128920350504[/C][C]33.18[/C][/ROW]
[ROW][C]182[/C][C]151.955[/C][C]11.6321207581994[/C][C]27.4[/C][/ROW]
[ROW][C]183[/C][C]121.665[/C][C]6.7000124377994[/C][C]15.61[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=13846&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=13846&T=1

As an alternative you can also use a QR Code:  
QR Code


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

Standard Deviation-Mean Plot
SectionMeanStandard DeviationRange
1411.632579.7698745872567187.93
2518.1954.7873339831963110.8499999999999
3493.292554.1267237600799117.3
4432.542561.4106594303193141.43
5445.417518.05191287186337.6
6463.472528.011004236430663.13
7402.797576.9288985037482172.44
8528.202568.6526014923445139.24
9444.087556.7480081148228127.75
10439.41259.9861549991308921.81
11394.437565.9459482581505146.07
12457.6520.357845334579744.72
13410.875.0557770372586180.49
14476.7375132.049373941467293.31
15495.8875115.648913923420239.51
16398.08572.5909767119854162.56
17411.767554.2616201840675111.82
18379.11574.5428934685706152.44
19363.72542.17421368561694.37
20398.09571.4653176956021163.91
21405.945103.036145275982221.65
22436.3464.3914575079645151.41
23400.962594.1123305328974225.49
24379.872522.241667166229543.17
25355.46549.4347074432529106.29
26419.617526.500386632399659.34
27461.652573.0036512214743163.56
28461.28559.0053955160035130.98
29349.367556.2971156010679122.68
30418.54520.134033376350646.5
31366.437537.592144902004973.06
32379.2375120.594731608253263.27
33331.717571.5388334519558166.86
34397.1618.929259538256341.23
35465.017527.077025162795663.13
36348.707541.397374614823195.18
37441.785100.077423861062212.82
38343.28536.282172389940176.36
39470.397597.4566144069589217.34
40421.28593.9178195729295219.39
41341.5422.024160975316850.72
42451.2789.6584545186156212.86
43430.1953.926376353939129.65
44576.26139.926992392462298.56
45371.8149.9348021590821108.77
46430.597596.0122378918438205.59
47437.07534.712455497510877.39
48436.83592.708275610469210.7
49459.40528.320439615232058.38
50460.17555.3295463563547123.09
51353.792538.330665160764890.63
52451.297545.8706190460372105.34
53377.357553.1075533704952111.27
54547.3143.253612565888794.26
55466.63543.9322042090613105.81
56434.247518.870270047528943.97
57403.11540.181718479925797.98
58399.092599.9302581386973225.16
59415.89544.440067131662596.54
60501.587578.475241265425163.58
61422.472548.4516297455514106.95
62340.0587.0460939196393212.99
63472.772597.407752728757210.83
64427.56559.111457152287127.54
65406.882541.562585238007896.14
66332.248.5474869601148320.3000000000000
67475.482573.6569079697666161.15
68403.822531.444778448363562.33
69465.48579.3908645038374170.76
70342.1470.3024219592279144.62
71400.9390.2789185432199217.58
72382.8625150.788309532492305.28
73445.37155.482656481894303.31
74409.305135.560398715849268.5
75412.887557.7207821470453138.95
76625.67128.54222834021314.37
77317.362512.699229307324130.83
78423.522599.8808424657435220.64
79452.41535.209704628127778.34
80466.622538.177675304641991.3
81601.24154.904447536753304.1
82429.497592.1150177314571207.76
83497.04582.6158364560532195.47
84646.912583.8923971028762200.86
85474.097545.1865948964218109.55
86530.427538.621603086873593.98
87626.27596.0928032338184201.98
88584.332557.9289244822193131.27
89591.9794.0440857612357203.59
90553.475135.104332153587271.6
91615.7579.317534421253170.05
92580.53132.404117005477307.29
93598.847553.0164511417604112.66
94563.68536.752317387252486.12
95543.2943.200052469104092.22
96533.1465.1491928832072136.72
97649.13517.587720147875937.3000000000000
98447.8625123.914690109769279.96
99556.33588.5569167259113189.08
100669.0375128.49440931418294.67
101498.547585.1232586214445206.09
102503.212550.9029477699147116.86
103641.58129.527394013776276.83
104610.915144.130253474649286.18
105560.71529.692336272737768.89
106553.41110.113842302713267.98
107470.627519.823725473953344.18
108713.595168.586337228140381.8
109751.27557.9141091042013128.31
110546.197590.0024204767109211.55
111517.8625129.689851922449303.82
112727.26221.017119246451489.71
113680.415129.900665253621309.93
114651.03138.227139882152321.11
115542.35532.902957820435175.42
116596.671.9004960576304133.26
117661.2025128.233259433737250.42
118509.982573.6064772398915165.86
119553.412580.6773860818507170.28
120582.8575189.574434172086427.78
121453.55583.9615314692786168.82
122517.98519.622022491748143.9300000000001
123622.717583.9942436023644180.78
124661.3525117.523586675186257.06
125533.977.7040984763522616.74
126694.2694.9796104435052203.04
127744.57593.9711989565598223.34
128769.522521.412937483368945.6799999999999
129625.767588.5248249080448209.13
130676.20571.7310218803552154.97
131623.947544.894750528319108.48
132718.007555.3192253350195116.35
133697.8575121.180452597218272.13
134708.635125.931962980016274.14
135787.6875141.034353350522273.73
136728.53569.3036336228724159.8
137785.427580.8373999148909197.65
138721.2625153.030792407933326.09
139771.51587.6323602710018213.7
140683.249.5752794579449106.29
141713.74556.7529115259003135.77
142789.457540.094805461555884.69
143670.87577.2880458630786176.61
144739.297593.0127831268369197.72
14573821.175917138737343.48
146750.627575.2109674515626167.96
147624.3170.8225514931508158.1
148747.3675149.465553528787312.89
149648.1875125.541117135649273.71
150626.082566.6274940121068142.42
151584.5375132.062220278928292.92
152653.657587.6858933447488186.85
153627.007550.0568059808054105.71
154616.267557.9601629713605130.61
155581.012522.018040141362946.58
156490.77512.969010499391728.51
157498.9847.7949209295995112.61
158401.297540.713811231571192.66
159458.682552.809955106337117.01
160407.012512.487522772752026.1
161425.67514.419175889534528.06
162473.5739.84723160605686.5
163486.752565.5861974173428155.63
164522.412558.1644527038064128.3
165388.55556.4454075486512114.97
166400.857515.416853061936337.66
167305.0858.3306014598398123.64
168217.512516.935088573727639.6
169267.0971.3496587237809171.83
170403.157553.3596035561235111.97
171376.61514.309694848831226.81
172493.3936.374660594063777.67
173452.277570.9393329425456155.63
174313.667539.063347164146986.69
175270.1512.437397905778629.99
176243.11511.957186123833626.9800000000000
177223.85514.975786011647836.43
178314.0969.3967160606321151.23
179301.93513.400011194025230.25
180245.02255.0798121684435111.4500000000000
181199.23514.212892035050433.18
182151.95511.632120758199427.4
183121.6656.700012437799415.61






Regression: S.E.(k) = alpha + beta * Mean(k)
alpha0.845035751986793
beta0.135874079597495
S.D.0.0201257949005931
T-STAT6.7512403991303
p-value1.92420402741917e-10

\begin{tabular}{lllllllll}
\hline
Regression: S.E.(k) = alpha + beta * Mean(k) \tabularnewline
alpha & 0.845035751986793 \tabularnewline
beta & 0.135874079597495 \tabularnewline
S.D. & 0.0201257949005931 \tabularnewline
T-STAT & 6.7512403991303 \tabularnewline
p-value & 1.92420402741917e-10 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=13846&T=2

[TABLE]
[ROW][C]Regression: S.E.(k) = alpha + beta * Mean(k)[/C][/ROW]
[ROW][C]alpha[/C][C]0.845035751986793[/C][/ROW]
[ROW][C]beta[/C][C]0.135874079597495[/C][/ROW]
[ROW][C]S.D.[/C][C]0.0201257949005931[/C][/ROW]
[ROW][C]T-STAT[/C][C]6.7512403991303[/C][/ROW]
[ROW][C]p-value[/C][C]1.92420402741917e-10[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=13846&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=13846&T=2

As an alternative you can also use a QR Code:  
QR Code


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

Regression: S.E.(k) = alpha + beta * Mean(k)
alpha0.845035751986793
beta0.135874079597495
S.D.0.0201257949005931
T-STAT6.7512403991303
p-value1.92420402741917e-10






Regression: ln S.E.(k) = alpha + beta * ln Mean(k)
alpha-3.72820617252073
beta1.25158702370550
S.D.0.162812103792990
T-STAT7.68730944780891
p-value9.2302041827735e-13
Lambda-0.251587023705499

\begin{tabular}{lllllllll}
\hline
Regression: ln S.E.(k) = alpha + beta * ln Mean(k) \tabularnewline
alpha & -3.72820617252073 \tabularnewline
beta & 1.25158702370550 \tabularnewline
S.D. & 0.162812103792990 \tabularnewline
T-STAT & 7.68730944780891 \tabularnewline
p-value & 9.2302041827735e-13 \tabularnewline
Lambda & -0.251587023705499 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=13846&T=3

[TABLE]
[ROW][C]Regression: ln S.E.(k) = alpha + beta * ln Mean(k)[/C][/ROW]
[ROW][C]alpha[/C][C]-3.72820617252073[/C][/ROW]
[ROW][C]beta[/C][C]1.25158702370550[/C][/ROW]
[ROW][C]S.D.[/C][C]0.162812103792990[/C][/ROW]
[ROW][C]T-STAT[/C][C]7.68730944780891[/C][/ROW]
[ROW][C]p-value[/C][C]9.2302041827735e-13[/C][/ROW]
[ROW][C]Lambda[/C][C]-0.251587023705499[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=13846&T=3

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=13846&T=3

As an alternative you can also use a QR Code:  
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The GUIDs for individual cells are displayed in the table below:

Regression: ln S.E.(k) = alpha + beta * ln Mean(k)
alpha-3.72820617252073
beta1.25158702370550
S.D.0.162812103792990
T-STAT7.68730944780891
p-value9.2302041827735e-13
Lambda-0.251587023705499


Figures (Output of Computation)

Input Parameters & R Code

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')