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Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_centraltendency.wasp
Title produced by softwareCentral Tendency
Date of computationTue, 23 Nov 2010 15:36:06 +0000
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2010/Nov/23/t1290526491g35mhlqlhn5ilk1.htm/, Retrieved Thu, 28 Mar 2024 08:22:21 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=99291, Retrieved Thu, 28 Mar 2024 08:22:21 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact100
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Central Tendency] [HAR central tendency] [2010-11-23 15:36:06] [f76239c595e4d455b3b05a43389f68d5] [Current]
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Dataseries X:
0.24320322098874
-5.7731597280508E-15
-5.7731597280508E-15
-5.7731597280508E-15
-5.7731597280508E-15
-0.24320322098871
3.9523939676656E-14
3.9523939676656E-14
0.01889076246954
-0.018890762469514
3.9523939676656E-14
0.01889076246954
-0.018890762469514
0.01889076246954
-1.4210854715202E-14
-1.4210854715202E-14
-1.4210854715202E-14
-0.077171589615714
-2.0872192862953E-14
-2.0872192862953E-14
-0.010797183330221
4.3076653355456E-14
0.00063836580524335
-0.00063836580522958
4.3076653355456E-14
4.3076653355456E-14
4.3076653355456E-14
4.3076653355456E-14
0.010797183330243
-2.0872192862953E-14
-2.0872192862953E-14
-2.0872192862953E-14
-0.010797183330221
0.010797183330243
-2.0872192862953E-14
-2.0872192862953E-14
-2.0872192862953E-14
-2.0872192862953E-14
-2.0872192862953E-14
-2.0872192862953E-14
-0.010797183330221
0.010797183330243
-2.0872192862953E-14
-2.0872192862953E-14
-2.0872192862953E-14
-2.0872192862953E-14
-2.0872192862953E-14
-2.0872192862953E-14
-2.0872192862953E-14
-2.0872192862953E-14
-2.0872192862953E-14
-2.0872192862953E-14
-2.0872192862953E-14
-2.0872192862953E-14
-2.0872192862953E-14
-0.33710414817462
-0.020563978997795
0.020563978997754
4.8849813083507E-15
4.8849813083507E-15
-0.036039936483195
0.015475957485402
-4.5741188614556E-14
-4.5741188614556E-14
-4.5741188614556E-14
-4.5741188614556E-14
-4.5741188614556E-14
-4.5741188614556E-14
-4.5741188614556E-14
-0.0063434739221457
0.026907452919929
4.8849813083507E-15
-0.020563978997795
-4.5741188614556E-14
-4.5741188614556E-14
-0.021918685707646
8.8817841970013E-16
0.014665707402601
-0.01466570740263
-0.079734968018899
0.094400675421454
-2.9753977059954E-14
-2.9753977059954E-14
-2.9753977059954E-14
-0.01466570740263
8.8817841970013E-16
8.8817841970013E-16
0.014665707402601
-2.9753977059954E-14
-0.01466570740263
-0.0055555698445993
-0.018744691286197
-4.6185277824407E-14
-4.6185277824407E-14
0.018744691286154
2.6645352591004E-15
-0.018744691286197
-0.0056926149932464
-0.01921288685996
3.1086244689504E-14
3.1086244689504E-14
0.00096946202453108
-1.6875389974302E-14
-1.6875389974302E-14
-0.00096946202451687
0.00096946202453108
-1.6875389974302E-14
-0.00096946202451687
3.1086244689504E-14
3.1086244689504E-14
3.1086244689504E-14
3.1086244689504E-14
3.1086244689504E-14
3.1086244689504E-14
3.1086244689504E-14
-0.24125023635047
0.24125023635051
3.1086244689504E-14
3.1086244689504E-14
3.1086244689504E-14
0.019212886860031
4.0412118096356E-14
4.0412118096356E-14
4.0412118096356E-14
-0.01921288685996
3.1086244689504E-14
3.1086244689504E-14
-0.071351199555069
9.3258734068513E-15
9.3258734068513E-15
9.3258734068513E-15
9.3258734068513E-15
-0.01892800988549
2.8421709430404E-14
2.8421709430404E-14
2.8421709430404E-14
2.8421709430404E-14
0.018928009885528
9.3258734068513E-15
-0.01892800988549
-0.034560675065472
-0.011049836186604
-1.9539925233403E-14
-1.9539925233403E-14
-1.9539925233403E-14
0.01104983618658
-4.4408920985006E-15
-4.4408920985006E-15
-4.4408920985006E-15
-4.4408920985006E-15
-4.4408920985006E-15
-0.011049836186604
-0.10043439732182
0.11148423350835
-4.4408920985006E-15
-4.4408920985006E-15
-4.4408920985006E-15
-4.4408920985006E-15
-0.1114842335084
0.11148423350835
-4.4408920985006E-15
-4.4408920985006E-15
-4.4408920985006E-15
-0.1114842335084
-4.8849813083507E-14
-0.017348638334649
0.012422519998564
0.021978906718807
3.1974423109205E-14
3.1974423109205E-14
-0.021978906718768
6.6613381477509E-15
6.6613381477509E-15
6.6613381477509E-15
0.021978906718807
-0.021978906718768
6.6613381477509E-15
6.6613381477509E-15
6.6613381477509E-15
0.021978906718807
3.1974423109205E-14
-0.021978906718768
0.021978906718807
-0.021978906718768
0.021978906718807
3.1974423109205E-14
3.1974423109205E-14
-0.021978906718768
6.6613381477509E-15
0.021978906718807
3.1974423109205E-14
-0.034401426717368
0.034401426717364
3.1974423109205E-14
0.034424764212532
-0.068826190929888
0.068826190929864
1.1546319456102E-14
1.1546319456102E-14
1.1546319456102E-14




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time4 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=99291&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=99291&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=99291&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 Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time4 seconds
R Server'George Udny Yule' @ 72.249.76.132







Central Tendency - Ungrouped Data
MeasureValueS.E.Value/S.E.
Arithmetic Mean-0.003359599842146540.00341247095938507-0.984506500460283
Geometric MeanNaN
Harmonic Mean1.10625107460305e-13
Quadratic Mean0.0482559173861611
Winsorized Mean ( 1 / 66 )-0.002899860129408140.00320414047703873-0.905035266146693
Winsorized Mean ( 2 / 66 )-0.004177990311447340.00280595166549255-1.48897444058929
Winsorized Mean ( 3 / 66 )-0.002231500268816290.00211797934111286-1.05359869451974
Winsorized Mean ( 4 / 66 )-0.002573171430554210.00203078679656463-1.26708103229108
Winsorized Mean ( 5 / 66 )-0.002936287638179460.00181533335917567-1.61749224919924
Winsorized Mean ( 6 / 66 )-0.003347347560611790.00147809322872446-2.26463899269766
Winsorized Mean ( 7 / 66 )-0.00325844612883120.00145488403682747-2.23966037591324
Winsorized Mean ( 8 / 66 )-0.003325389478302800.00135954428593396-2.44595892366859
Winsorized Mean ( 9 / 66 )-0.003433548669220140.00130773266527397-2.62557383507798
Winsorized Mean ( 10 / 66 )-0.001794235946885490.000943063480871296-1.90256115657007
Winsorized Mean ( 11 / 66 )-0.001712876568910730.000928406241533082-1.8449645126063
Winsorized Mean ( 12 / 66 )-0.001703321668024490.000926709766034606-1.83803142089784
Winsorized Mean ( 13 / 66 )-0.0008958578681154880.000800355047503298-1.11932556795901
Winsorized Mean ( 14 / 66 )-0.0008958578681154870.000800355047503298-1.11932556795901
Winsorized Mean ( 15 / 66 )-0.001001977447194460.000785410437786042-1.27573737117486
Winsorized Mean ( 16 / 66 )-0.001110064818212300.000770790169672294-1.44016473210115
Winsorized Mean ( 17 / 66 )-0.001134279361045060.000767595833968522-1.4777039046457
Winsorized Mean ( 18 / 66 )-0.001132211737483000.000766416502960192-1.47727995562460
Winsorized Mean ( 19 / 66 )-0.001003514600047150.00074920031562533-1.33944764720174
Winsorized Mean ( 20 / 66 )-0.001003514600047150.00074920031562533-1.33944764720174
Winsorized Mean ( 21 / 66 )-0.0008769873998300080.00072886188970018-1.20322850216625
Winsorized Mean ( 22 / 66 )-0.001236548117912730.00068234132031044-1.81221344964151
Winsorized Mean ( 23 / 66 )-0.001296966025370790.000666654382064673-1.94548488731748
Winsorized Mean ( 24 / 66 )-0.001296966025370790.000666654382064673-1.94548488731748
Winsorized Mean ( 25 / 66 )-0.001572708523878420.000633560236072703-2.48233464528532
Winsorized Mean ( 26 / 66 )-0.001751157419436340.000614304197351372-2.85063560852524
Winsorized Mean ( 27 / 66 )-0.001765545945294040.000607981428188992-2.90394716587497
Winsorized Mean ( 28 / 66 )-0.001765545945294040.000607981428188992-2.90394716587497
Winsorized Mean ( 29 / 66 )-0.001563118267319580.000579924474589371-2.69538247791039
Winsorized Mean ( 30 / 66 )-0.002634836823373520.000402238722755006-6.55043056353958
Winsorized Mean ( 31 / 66 )-0.002634836823373520.000402238722755006-6.55043056353958
Winsorized Mean ( 32 / 66 )-0.002687812218459550.00039993879730412-6.72055883694549
Winsorized Mean ( 33 / 66 )-0.002196523825673310.0003075291389888-7.14249008369026
Winsorized Mean ( 34 / 66 )-0.002196523825673310.0003075291389888-7.14249008369026
Winsorized Mean ( 35 / 66 )-0.002152309575806280.000301141804699425-7.14716303820567
Winsorized Mean ( 36 / 66 )-0.002152309575806280.000301141804699425-7.14716303820567
Winsorized Mean ( 37 / 66 )-0.002152309575806280.000301141804699425-7.14716303820567
Winsorized Mean ( 38 / 66 )-0.001306104788272480.000180293054082233-7.24434335488464
Winsorized Mean ( 39 / 66 )-0.001179187297137120.000162524807734600-7.25542957763539
Winsorized Mean ( 40 / 66 )-0.001151778267407700.000158701324742643-7.25752144334948
Winsorized Mean ( 41 / 66 )-0.0002116261642909822.82950262639897e-05-7.4792708201269
Winsorized Mean ( 42 / 66 )-0.0002116261642909822.82950262639897e-05-7.4792708201269
Winsorized Mean ( 43 / 66 )-0.0001404404771442151.87457024438441e-05-7.49187594142859
Winsorized Mean ( 44 / 66 )-6.11510841963527e-152.29758864405825e-15-2.66153318412738
Winsorized Mean ( 45 / 66 )-5.51558798633777e-152.24224085145754e-15-2.45985527502651
Winsorized Mean ( 46 / 66 )-5.51558798633777e-152.24224085145754e-15-2.45985527502651
Winsorized Mean ( 47 / 66 )-5.41122702202278e-152.23274844872398e-15-2.42357217854762
Winsorized Mean ( 48 / 66 )-5.41122702202278e-152.23274844872398e-15-2.42357217854762
Winsorized Mean ( 49 / 66 )-5.41122702202279e-152.23274844872398e-15-2.42357217854762
Winsorized Mean ( 50 / 66 )-5.41122702202278e-152.23274844872398e-15-2.42357217854762
Winsorized Mean ( 51 / 66 )-5.63771251904654e-152.21377960772928e-15-2.54664579046749
Winsorized Mean ( 52 / 66 )-5.63771251904654e-152.21377960772928e-15-2.54664579046749
Winsorized Mean ( 53 / 66 )-5.63771251904654e-152.21377960772928e-15-2.54664579046749
Winsorized Mean ( 54 / 66 )-5.63771251904654e-152.21377960772928e-15-2.54664579046749
Winsorized Mean ( 55 / 66 )-5.63771251904654e-152.21377960772928e-15-2.54664579046749
Winsorized Mean ( 56 / 66 )-1.16129328375798e-151.83181048196817e-15-0.633959296111376
Winsorized Mean ( 57 / 66 )-1.16129328375798e-151.83181048196817e-15-0.633959296111376
Winsorized Mean ( 58 / 66 )-1.16129328375798e-151.83181048196817e-15-0.633959296111376
Winsorized Mean ( 59 / 66 )-1.16129328375798e-151.83181048196817e-15-0.633959296111376
Winsorized Mean ( 60 / 66 )1.50324197534232e-151.6349573928177e-150.91943801223567
Winsorized Mean ( 61 / 66 )1.50324197534232e-151.6349573928177e-150.919438012235671
Winsorized Mean ( 62 / 66 )1.50324197534232e-151.6349573928177e-150.919438012235671
Winsorized Mean ( 63 / 66 )1.50324197534232e-151.6349573928177e-150.91943801223567
Winsorized Mean ( 64 / 66 )1.50324197534232e-151.6349573928177e-150.91943801223567
Winsorized Mean ( 65 / 66 )6.37268016134822e-161.55674143770227e-150.409360219173853
Winsorized Mean ( 66 / 66 )6.37268016134822e-161.55674143770227e-150.409360219173853
Trimmed Mean ( 1 / 66 )-0.002919288087088020.00273255536404864-1.06833629996895
Trimmed Mean ( 2 / 66 )-0.002939112533700150.00213304893856650-1.37789268711076
Trimmed Mean ( 3 / 66 )-0.002300515741046950.00166608590088251-1.38079059418748
Trimmed Mean ( 4 / 66 )-0.002324479446682600.00146833321476540-1.58307353079524
Trimmed Mean ( 5 / 66 )-0.002259034187769010.00126860972874270-1.78071643042490
Trimmed Mean ( 6 / 66 )-0.002114937708958280.00110719526705924-1.91017589388333
Trimmed Mean ( 7 / 66 )-0.001894075728375210.00101897135261550-1.85881155884656
Trimmed Mean ( 8 / 66 )-0.001682216970540430.000923796224915193-1.82098272884246
Trimmed Mean ( 9 / 66 )-0.001456506461232410.0008365848886944-1.74101454725710
Trimmed Mean ( 10 / 66 )-0.001212427176295660.000746534347020346-1.62407420520548
Trimmed Mean ( 11 / 66 )-0.001147055404319270.000717181472519117-1.59939352628591
Trimmed Mean ( 12 / 66 )-0.001088602804671390.000687391230706485-1.58367281402842
Trimmed Mean ( 13 / 66 )-0.001029721687491980.000654904603550298-1.57232317792510
Trimmed Mean ( 14 / 66 )-0.00104169519548630.00063721296109435-1.63476774498951
Trimmed Mean ( 15 / 66 )-0.001053950433080490.000618040606960448-1.70530936189430
Trimmed Mean ( 16 / 66 )-0.001058075273230170.000599071583678159-1.76619172409053
Trimmed Mean ( 17 / 66 )-0.001054160397855010.0005801993641679-1.81689340416091
Trimmed Mean ( 18 / 66 )-0.001048412982992020.00056000128963563-1.87216172961705
Trimmed Mean ( 19 / 66 )-0.001042665468966580.000538027473797217-1.93794094120844
Trimmed Mean ( 20 / 66 )-0.001045241184027070.000515926578604421-2.02594948074673
Trimmed Mean ( 21 / 66 )-0.001047882107063770.00049153106257259-2.13187362275607
Trimmed Mean ( 22 / 66 )-0.001058315239373520.000466914814531638-2.26661310893534
Trimmed Mean ( 23 / 66 )-0.001047793817972150.000445124712665632-2.35393315212142
Trimmed Mean ( 24 / 66 )-0.001033539115031730.000422745261001346-2.44482720535674
Trimmed Mean ( 25 / 66 )-0.001018904286679560.000397707242180968-2.56194551824612
Trimmed Mean ( 26 / 66 )-0.0009889689225066460.000373494105130940-2.64788361829682
Trimmed Mean ( 27 / 66 )-0.0009488114674523940.000348373145073709-2.72354939199359
Trimmed Mean ( 28 / 66 )-0.0009067983770284410.000320434943211708-2.82989853709347
Trimmed Mean ( 29 / 66 )-0.0009067983770284410.000287845043372932-3.15030047557078
Trimmed Mean ( 30 / 66 )-0.0008291428809409680.000253548466008031-3.27015538289515
Trimmed Mean ( 31 / 66 )-0.0007419112895191060.000236257315796042-3.14026800405872
Trimmed Mean ( 32 / 66 )-0.0006521140630554240.000216098863937479-3.01766539246635
Trimmed Mean ( 33 / 66 )-0.0005571654550608290.000192167103364365-2.89937999431878
Trimmed Mean ( 34 / 66 )-0.0004818964756938640.000177853767007655-2.70950952460356
Trimmed Mean ( 35 / 66 )-0.0004043115277309940.000160923800640986-2.51244083299396
Trimmed Mean ( 36 / 66 )-0.0003262759005847750.000141466821890270-2.30637753944776
Trimmed Mean ( 37 / 66 )-0.0002457629519418520.000116772998391521-2.10462140500878
Trimmed Mean ( 38 / 66 )-0.0001626528114072218.19848558855581e-05-1.98393727293083
Trimmed Mean ( 39 / 66 )-0.0001133235630523786.58393916070103e-05-1.72121218447456
Trimmed Mean ( 40 / 66 )-6.77738308265345e-054.77801229842132e-05-1.41845241480285
Trimmed Mean ( 41 / 66 )-2.18414394459767e-051.27118650095225e-05-1.71819315494738
Trimmed Mean ( 42 / 66 )-1.38605847426544e-059.96651847852916e-06-1.39071479900571
Trimmed Mean ( 43 / 66 )-5.59970004974176e-065.59970004583928e-06-1.00000000069691
Trimmed Mean ( 44 / 66 )-4.29021897373005e-152.29600140287384e-15-1.86856112908298
Trimmed Mean ( 45 / 66 )-4.21481031894058e-152.27829265696614e-15-1.8499863509867
Trimmed Mean ( 46 / 66 )-4.1612803737802e-152.26268993219395e-15-1.83908555678477
Trimmed Mean ( 47 / 66 )-4.10573043068924e-152.24492800087252e-15-1.82889180815309
Trimmed Mean ( 48 / 66 )-4.05231403988182e-152.22552858182807e-15-1.82083217127376
Trimmed Mean ( 49 / 66 )-3.99680288865057e-152.20349196663945e-15-1.81384953935008
Trimmed Mean ( 50 / 66 )-3.93907129137007e-152.17848145018448e-15-1.80817297803316
Trimmed Mean ( 51 / 66 )-3.87898330236383e-152.15010277759491e-15-1.80409203819682
Trimmed Mean ( 52 / 66 )-3.80713978861046e-152.11951509142193e-15-1.79623150786643
Trimmed Mean ( 53 / 66 )-3.73223910405906e-152.08473110455157e-15-1.79027362133682
Trimmed Mean ( 54 / 66 )-3.65408186800543e-152.04511930474435e-15-1.78673286175948
Trimmed Mean ( 55 / 66 )-3.57245097701609e-151.99991210862904e-15-1.78630398886131
Trimmed Mean ( 56 / 66 )-3.48710959098177e-151.94816298427139e-15-1.78994756554516
Trimmed Mean ( 57 / 66 )-3.48710959098177e-151.92794440668357e-15-1.80871895418408
Trimmed Mean ( 58 / 66 )-3.5836966469296e-151.90431235920303e-15-1.88188488595926
Trimmed Mean ( 59 / 66 )-3.79100544993958e-151.87672422403070e-15-2.02001199824529
Trimmed Mean ( 60 / 66 )-3.90243393155745e-151.84452042280589e-15-2.11569028095717
Trimmed Mean ( 61 / 66 )-4.1334457224506e-151.82418687139138e-15-2.26591134234941
Trimmed Mean ( 62 / 66 )-4.37661602865392e-151.79964938748112e-15-2.43192705151288
Trimmed Mean ( 63 / 66 )-4.63293067573309e-151.77012027955593e-15-2.61729710079099
Trimmed Mean ( 64 / 66 )-4.90348502542777e-151.73461166822399e-15-2.82684886493834
Trimmed Mean ( 65 / 66 )-5.18949962367644e-151.69186311807981e-15-3.06732830110175
Trimmed Mean ( 66 / 66 )-5.45315426801179e-151.65274459365296e-15-3.29945370201394
Median-4.4408920985006e-15
Midrange-0.04695046359294
Midmean - Weighted Average at Xnp-3.11269868188482e-15
Midmean - Weighted Average at X(n+1)p-3.11269868188482e-15
Midmean - Empirical Distribution Function-3.11269868188482e-15
Midmean - Empirical Distribution Function - Averaging-3.11269868188482e-15
Midmean - Empirical Distribution Function - Interpolation-3.11269868188482e-15
Midmean - Closest Observation-3.11269868188482e-15
Midmean - True Basic - Statistics Graphics Toolkit-3.11269868188482e-15
Midmean - MS Excel (old versions)-3.11269868188482e-15
Number of observations200

\begin{tabular}{lllllllll}
\hline
Central Tendency - Ungrouped Data \tabularnewline
Measure & Value & S.E. & Value/S.E. \tabularnewline
Arithmetic Mean & -0.00335959984214654 & 0.00341247095938507 & -0.984506500460283 \tabularnewline
Geometric Mean & NaN &  &  \tabularnewline
Harmonic Mean & 1.10625107460305e-13 &  &  \tabularnewline
Quadratic Mean & 0.0482559173861611 &  &  \tabularnewline
Winsorized Mean ( 1 / 66 ) & -0.00289986012940814 & 0.00320414047703873 & -0.905035266146693 \tabularnewline
Winsorized Mean ( 2 / 66 ) & -0.00417799031144734 & 0.00280595166549255 & -1.48897444058929 \tabularnewline
Winsorized Mean ( 3 / 66 ) & -0.00223150026881629 & 0.00211797934111286 & -1.05359869451974 \tabularnewline
Winsorized Mean ( 4 / 66 ) & -0.00257317143055421 & 0.00203078679656463 & -1.26708103229108 \tabularnewline
Winsorized Mean ( 5 / 66 ) & -0.00293628763817946 & 0.00181533335917567 & -1.61749224919924 \tabularnewline
Winsorized Mean ( 6 / 66 ) & -0.00334734756061179 & 0.00147809322872446 & -2.26463899269766 \tabularnewline
Winsorized Mean ( 7 / 66 ) & -0.0032584461288312 & 0.00145488403682747 & -2.23966037591324 \tabularnewline
Winsorized Mean ( 8 / 66 ) & -0.00332538947830280 & 0.00135954428593396 & -2.44595892366859 \tabularnewline
Winsorized Mean ( 9 / 66 ) & -0.00343354866922014 & 0.00130773266527397 & -2.62557383507798 \tabularnewline
Winsorized Mean ( 10 / 66 ) & -0.00179423594688549 & 0.000943063480871296 & -1.90256115657007 \tabularnewline
Winsorized Mean ( 11 / 66 ) & -0.00171287656891073 & 0.000928406241533082 & -1.8449645126063 \tabularnewline
Winsorized Mean ( 12 / 66 ) & -0.00170332166802449 & 0.000926709766034606 & -1.83803142089784 \tabularnewline
Winsorized Mean ( 13 / 66 ) & -0.000895857868115488 & 0.000800355047503298 & -1.11932556795901 \tabularnewline
Winsorized Mean ( 14 / 66 ) & -0.000895857868115487 & 0.000800355047503298 & -1.11932556795901 \tabularnewline
Winsorized Mean ( 15 / 66 ) & -0.00100197744719446 & 0.000785410437786042 & -1.27573737117486 \tabularnewline
Winsorized Mean ( 16 / 66 ) & -0.00111006481821230 & 0.000770790169672294 & -1.44016473210115 \tabularnewline
Winsorized Mean ( 17 / 66 ) & -0.00113427936104506 & 0.000767595833968522 & -1.4777039046457 \tabularnewline
Winsorized Mean ( 18 / 66 ) & -0.00113221173748300 & 0.000766416502960192 & -1.47727995562460 \tabularnewline
Winsorized Mean ( 19 / 66 ) & -0.00100351460004715 & 0.00074920031562533 & -1.33944764720174 \tabularnewline
Winsorized Mean ( 20 / 66 ) & -0.00100351460004715 & 0.00074920031562533 & -1.33944764720174 \tabularnewline
Winsorized Mean ( 21 / 66 ) & -0.000876987399830008 & 0.00072886188970018 & -1.20322850216625 \tabularnewline
Winsorized Mean ( 22 / 66 ) & -0.00123654811791273 & 0.00068234132031044 & -1.81221344964151 \tabularnewline
Winsorized Mean ( 23 / 66 ) & -0.00129696602537079 & 0.000666654382064673 & -1.94548488731748 \tabularnewline
Winsorized Mean ( 24 / 66 ) & -0.00129696602537079 & 0.000666654382064673 & -1.94548488731748 \tabularnewline
Winsorized Mean ( 25 / 66 ) & -0.00157270852387842 & 0.000633560236072703 & -2.48233464528532 \tabularnewline
Winsorized Mean ( 26 / 66 ) & -0.00175115741943634 & 0.000614304197351372 & -2.85063560852524 \tabularnewline
Winsorized Mean ( 27 / 66 ) & -0.00176554594529404 & 0.000607981428188992 & -2.90394716587497 \tabularnewline
Winsorized Mean ( 28 / 66 ) & -0.00176554594529404 & 0.000607981428188992 & -2.90394716587497 \tabularnewline
Winsorized Mean ( 29 / 66 ) & -0.00156311826731958 & 0.000579924474589371 & -2.69538247791039 \tabularnewline
Winsorized Mean ( 30 / 66 ) & -0.00263483682337352 & 0.000402238722755006 & -6.55043056353958 \tabularnewline
Winsorized Mean ( 31 / 66 ) & -0.00263483682337352 & 0.000402238722755006 & -6.55043056353958 \tabularnewline
Winsorized Mean ( 32 / 66 ) & -0.00268781221845955 & 0.00039993879730412 & -6.72055883694549 \tabularnewline
Winsorized Mean ( 33 / 66 ) & -0.00219652382567331 & 0.0003075291389888 & -7.14249008369026 \tabularnewline
Winsorized Mean ( 34 / 66 ) & -0.00219652382567331 & 0.0003075291389888 & -7.14249008369026 \tabularnewline
Winsorized Mean ( 35 / 66 ) & -0.00215230957580628 & 0.000301141804699425 & -7.14716303820567 \tabularnewline
Winsorized Mean ( 36 / 66 ) & -0.00215230957580628 & 0.000301141804699425 & -7.14716303820567 \tabularnewline
Winsorized Mean ( 37 / 66 ) & -0.00215230957580628 & 0.000301141804699425 & -7.14716303820567 \tabularnewline
Winsorized Mean ( 38 / 66 ) & -0.00130610478827248 & 0.000180293054082233 & -7.24434335488464 \tabularnewline
Winsorized Mean ( 39 / 66 ) & -0.00117918729713712 & 0.000162524807734600 & -7.25542957763539 \tabularnewline
Winsorized Mean ( 40 / 66 ) & -0.00115177826740770 & 0.000158701324742643 & -7.25752144334948 \tabularnewline
Winsorized Mean ( 41 / 66 ) & -0.000211626164290982 & 2.82950262639897e-05 & -7.4792708201269 \tabularnewline
Winsorized Mean ( 42 / 66 ) & -0.000211626164290982 & 2.82950262639897e-05 & -7.4792708201269 \tabularnewline
Winsorized Mean ( 43 / 66 ) & -0.000140440477144215 & 1.87457024438441e-05 & -7.49187594142859 \tabularnewline
Winsorized Mean ( 44 / 66 ) & -6.11510841963527e-15 & 2.29758864405825e-15 & -2.66153318412738 \tabularnewline
Winsorized Mean ( 45 / 66 ) & -5.51558798633777e-15 & 2.24224085145754e-15 & -2.45985527502651 \tabularnewline
Winsorized Mean ( 46 / 66 ) & -5.51558798633777e-15 & 2.24224085145754e-15 & -2.45985527502651 \tabularnewline
Winsorized Mean ( 47 / 66 ) & -5.41122702202278e-15 & 2.23274844872398e-15 & -2.42357217854762 \tabularnewline
Winsorized Mean ( 48 / 66 ) & -5.41122702202278e-15 & 2.23274844872398e-15 & -2.42357217854762 \tabularnewline
Winsorized Mean ( 49 / 66 ) & -5.41122702202279e-15 & 2.23274844872398e-15 & -2.42357217854762 \tabularnewline
Winsorized Mean ( 50 / 66 ) & -5.41122702202278e-15 & 2.23274844872398e-15 & -2.42357217854762 \tabularnewline
Winsorized Mean ( 51 / 66 ) & -5.63771251904654e-15 & 2.21377960772928e-15 & -2.54664579046749 \tabularnewline
Winsorized Mean ( 52 / 66 ) & -5.63771251904654e-15 & 2.21377960772928e-15 & -2.54664579046749 \tabularnewline
Winsorized Mean ( 53 / 66 ) & -5.63771251904654e-15 & 2.21377960772928e-15 & -2.54664579046749 \tabularnewline
Winsorized Mean ( 54 / 66 ) & -5.63771251904654e-15 & 2.21377960772928e-15 & -2.54664579046749 \tabularnewline
Winsorized Mean ( 55 / 66 ) & -5.63771251904654e-15 & 2.21377960772928e-15 & -2.54664579046749 \tabularnewline
Winsorized Mean ( 56 / 66 ) & -1.16129328375798e-15 & 1.83181048196817e-15 & -0.633959296111376 \tabularnewline
Winsorized Mean ( 57 / 66 ) & -1.16129328375798e-15 & 1.83181048196817e-15 & -0.633959296111376 \tabularnewline
Winsorized Mean ( 58 / 66 ) & -1.16129328375798e-15 & 1.83181048196817e-15 & -0.633959296111376 \tabularnewline
Winsorized Mean ( 59 / 66 ) & -1.16129328375798e-15 & 1.83181048196817e-15 & -0.633959296111376 \tabularnewline
Winsorized Mean ( 60 / 66 ) & 1.50324197534232e-15 & 1.6349573928177e-15 & 0.91943801223567 \tabularnewline
Winsorized Mean ( 61 / 66 ) & 1.50324197534232e-15 & 1.6349573928177e-15 & 0.919438012235671 \tabularnewline
Winsorized Mean ( 62 / 66 ) & 1.50324197534232e-15 & 1.6349573928177e-15 & 0.919438012235671 \tabularnewline
Winsorized Mean ( 63 / 66 ) & 1.50324197534232e-15 & 1.6349573928177e-15 & 0.91943801223567 \tabularnewline
Winsorized Mean ( 64 / 66 ) & 1.50324197534232e-15 & 1.6349573928177e-15 & 0.91943801223567 \tabularnewline
Winsorized Mean ( 65 / 66 ) & 6.37268016134822e-16 & 1.55674143770227e-15 & 0.409360219173853 \tabularnewline
Winsorized Mean ( 66 / 66 ) & 6.37268016134822e-16 & 1.55674143770227e-15 & 0.409360219173853 \tabularnewline
Trimmed Mean ( 1 / 66 ) & -0.00291928808708802 & 0.00273255536404864 & -1.06833629996895 \tabularnewline
Trimmed Mean ( 2 / 66 ) & -0.00293911253370015 & 0.00213304893856650 & -1.37789268711076 \tabularnewline
Trimmed Mean ( 3 / 66 ) & -0.00230051574104695 & 0.00166608590088251 & -1.38079059418748 \tabularnewline
Trimmed Mean ( 4 / 66 ) & -0.00232447944668260 & 0.00146833321476540 & -1.58307353079524 \tabularnewline
Trimmed Mean ( 5 / 66 ) & -0.00225903418776901 & 0.00126860972874270 & -1.78071643042490 \tabularnewline
Trimmed Mean ( 6 / 66 ) & -0.00211493770895828 & 0.00110719526705924 & -1.91017589388333 \tabularnewline
Trimmed Mean ( 7 / 66 ) & -0.00189407572837521 & 0.00101897135261550 & -1.85881155884656 \tabularnewline
Trimmed Mean ( 8 / 66 ) & -0.00168221697054043 & 0.000923796224915193 & -1.82098272884246 \tabularnewline
Trimmed Mean ( 9 / 66 ) & -0.00145650646123241 & 0.0008365848886944 & -1.74101454725710 \tabularnewline
Trimmed Mean ( 10 / 66 ) & -0.00121242717629566 & 0.000746534347020346 & -1.62407420520548 \tabularnewline
Trimmed Mean ( 11 / 66 ) & -0.00114705540431927 & 0.000717181472519117 & -1.59939352628591 \tabularnewline
Trimmed Mean ( 12 / 66 ) & -0.00108860280467139 & 0.000687391230706485 & -1.58367281402842 \tabularnewline
Trimmed Mean ( 13 / 66 ) & -0.00102972168749198 & 0.000654904603550298 & -1.57232317792510 \tabularnewline
Trimmed Mean ( 14 / 66 ) & -0.0010416951954863 & 0.00063721296109435 & -1.63476774498951 \tabularnewline
Trimmed Mean ( 15 / 66 ) & -0.00105395043308049 & 0.000618040606960448 & -1.70530936189430 \tabularnewline
Trimmed Mean ( 16 / 66 ) & -0.00105807527323017 & 0.000599071583678159 & -1.76619172409053 \tabularnewline
Trimmed Mean ( 17 / 66 ) & -0.00105416039785501 & 0.0005801993641679 & -1.81689340416091 \tabularnewline
Trimmed Mean ( 18 / 66 ) & -0.00104841298299202 & 0.00056000128963563 & -1.87216172961705 \tabularnewline
Trimmed Mean ( 19 / 66 ) & -0.00104266546896658 & 0.000538027473797217 & -1.93794094120844 \tabularnewline
Trimmed Mean ( 20 / 66 ) & -0.00104524118402707 & 0.000515926578604421 & -2.02594948074673 \tabularnewline
Trimmed Mean ( 21 / 66 ) & -0.00104788210706377 & 0.00049153106257259 & -2.13187362275607 \tabularnewline
Trimmed Mean ( 22 / 66 ) & -0.00105831523937352 & 0.000466914814531638 & -2.26661310893534 \tabularnewline
Trimmed Mean ( 23 / 66 ) & -0.00104779381797215 & 0.000445124712665632 & -2.35393315212142 \tabularnewline
Trimmed Mean ( 24 / 66 ) & -0.00103353911503173 & 0.000422745261001346 & -2.44482720535674 \tabularnewline
Trimmed Mean ( 25 / 66 ) & -0.00101890428667956 & 0.000397707242180968 & -2.56194551824612 \tabularnewline
Trimmed Mean ( 26 / 66 ) & -0.000988968922506646 & 0.000373494105130940 & -2.64788361829682 \tabularnewline
Trimmed Mean ( 27 / 66 ) & -0.000948811467452394 & 0.000348373145073709 & -2.72354939199359 \tabularnewline
Trimmed Mean ( 28 / 66 ) & -0.000906798377028441 & 0.000320434943211708 & -2.82989853709347 \tabularnewline
Trimmed Mean ( 29 / 66 ) & -0.000906798377028441 & 0.000287845043372932 & -3.15030047557078 \tabularnewline
Trimmed Mean ( 30 / 66 ) & -0.000829142880940968 & 0.000253548466008031 & -3.27015538289515 \tabularnewline
Trimmed Mean ( 31 / 66 ) & -0.000741911289519106 & 0.000236257315796042 & -3.14026800405872 \tabularnewline
Trimmed Mean ( 32 / 66 ) & -0.000652114063055424 & 0.000216098863937479 & -3.01766539246635 \tabularnewline
Trimmed Mean ( 33 / 66 ) & -0.000557165455060829 & 0.000192167103364365 & -2.89937999431878 \tabularnewline
Trimmed Mean ( 34 / 66 ) & -0.000481896475693864 & 0.000177853767007655 & -2.70950952460356 \tabularnewline
Trimmed Mean ( 35 / 66 ) & -0.000404311527730994 & 0.000160923800640986 & -2.51244083299396 \tabularnewline
Trimmed Mean ( 36 / 66 ) & -0.000326275900584775 & 0.000141466821890270 & -2.30637753944776 \tabularnewline
Trimmed Mean ( 37 / 66 ) & -0.000245762951941852 & 0.000116772998391521 & -2.10462140500878 \tabularnewline
Trimmed Mean ( 38 / 66 ) & -0.000162652811407221 & 8.19848558855581e-05 & -1.98393727293083 \tabularnewline
Trimmed Mean ( 39 / 66 ) & -0.000113323563052378 & 6.58393916070103e-05 & -1.72121218447456 \tabularnewline
Trimmed Mean ( 40 / 66 ) & -6.77738308265345e-05 & 4.77801229842132e-05 & -1.41845241480285 \tabularnewline
Trimmed Mean ( 41 / 66 ) & -2.18414394459767e-05 & 1.27118650095225e-05 & -1.71819315494738 \tabularnewline
Trimmed Mean ( 42 / 66 ) & -1.38605847426544e-05 & 9.96651847852916e-06 & -1.39071479900571 \tabularnewline
Trimmed Mean ( 43 / 66 ) & -5.59970004974176e-06 & 5.59970004583928e-06 & -1.00000000069691 \tabularnewline
Trimmed Mean ( 44 / 66 ) & -4.29021897373005e-15 & 2.29600140287384e-15 & -1.86856112908298 \tabularnewline
Trimmed Mean ( 45 / 66 ) & -4.21481031894058e-15 & 2.27829265696614e-15 & -1.8499863509867 \tabularnewline
Trimmed Mean ( 46 / 66 ) & -4.1612803737802e-15 & 2.26268993219395e-15 & -1.83908555678477 \tabularnewline
Trimmed Mean ( 47 / 66 ) & -4.10573043068924e-15 & 2.24492800087252e-15 & -1.82889180815309 \tabularnewline
Trimmed Mean ( 48 / 66 ) & -4.05231403988182e-15 & 2.22552858182807e-15 & -1.82083217127376 \tabularnewline
Trimmed Mean ( 49 / 66 ) & -3.99680288865057e-15 & 2.20349196663945e-15 & -1.81384953935008 \tabularnewline
Trimmed Mean ( 50 / 66 ) & -3.93907129137007e-15 & 2.17848145018448e-15 & -1.80817297803316 \tabularnewline
Trimmed Mean ( 51 / 66 ) & -3.87898330236383e-15 & 2.15010277759491e-15 & -1.80409203819682 \tabularnewline
Trimmed Mean ( 52 / 66 ) & -3.80713978861046e-15 & 2.11951509142193e-15 & -1.79623150786643 \tabularnewline
Trimmed Mean ( 53 / 66 ) & -3.73223910405906e-15 & 2.08473110455157e-15 & -1.79027362133682 \tabularnewline
Trimmed Mean ( 54 / 66 ) & -3.65408186800543e-15 & 2.04511930474435e-15 & -1.78673286175948 \tabularnewline
Trimmed Mean ( 55 / 66 ) & -3.57245097701609e-15 & 1.99991210862904e-15 & -1.78630398886131 \tabularnewline
Trimmed Mean ( 56 / 66 ) & -3.48710959098177e-15 & 1.94816298427139e-15 & -1.78994756554516 \tabularnewline
Trimmed Mean ( 57 / 66 ) & -3.48710959098177e-15 & 1.92794440668357e-15 & -1.80871895418408 \tabularnewline
Trimmed Mean ( 58 / 66 ) & -3.5836966469296e-15 & 1.90431235920303e-15 & -1.88188488595926 \tabularnewline
Trimmed Mean ( 59 / 66 ) & -3.79100544993958e-15 & 1.87672422403070e-15 & -2.02001199824529 \tabularnewline
Trimmed Mean ( 60 / 66 ) & -3.90243393155745e-15 & 1.84452042280589e-15 & -2.11569028095717 \tabularnewline
Trimmed Mean ( 61 / 66 ) & -4.1334457224506e-15 & 1.82418687139138e-15 & -2.26591134234941 \tabularnewline
Trimmed Mean ( 62 / 66 ) & -4.37661602865392e-15 & 1.79964938748112e-15 & -2.43192705151288 \tabularnewline
Trimmed Mean ( 63 / 66 ) & -4.63293067573309e-15 & 1.77012027955593e-15 & -2.61729710079099 \tabularnewline
Trimmed Mean ( 64 / 66 ) & -4.90348502542777e-15 & 1.73461166822399e-15 & -2.82684886493834 \tabularnewline
Trimmed Mean ( 65 / 66 ) & -5.18949962367644e-15 & 1.69186311807981e-15 & -3.06732830110175 \tabularnewline
Trimmed Mean ( 66 / 66 ) & -5.45315426801179e-15 & 1.65274459365296e-15 & -3.29945370201394 \tabularnewline
Median & -4.4408920985006e-15 &  &  \tabularnewline
Midrange & -0.04695046359294 &  &  \tabularnewline
Midmean - Weighted Average at Xnp & -3.11269868188482e-15 &  &  \tabularnewline
Midmean - Weighted Average at X(n+1)p & -3.11269868188482e-15 &  &  \tabularnewline
Midmean - Empirical Distribution Function & -3.11269868188482e-15 &  &  \tabularnewline
Midmean - Empirical Distribution Function - Averaging & -3.11269868188482e-15 &  &  \tabularnewline
Midmean - Empirical Distribution Function - Interpolation & -3.11269868188482e-15 &  &  \tabularnewline
Midmean - Closest Observation & -3.11269868188482e-15 &  &  \tabularnewline
Midmean - True Basic - Statistics Graphics Toolkit & -3.11269868188482e-15 &  &  \tabularnewline
Midmean - MS Excel (old versions) & -3.11269868188482e-15 &  &  \tabularnewline
Number of observations & 200 &  &  \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=99291&T=1

[TABLE]
[ROW][C]Central Tendency - Ungrouped Data[/C][/ROW]
[ROW][C]Measure[/C][C]Value[/C][C]S.E.[/C][C]Value/S.E.[/C][/ROW]
[ROW][C]Arithmetic Mean[/C][C]-0.00335959984214654[/C][C]0.00341247095938507[/C][C]-0.984506500460283[/C][/ROW]
[ROW][C]Geometric Mean[/C][C]NaN[/C][C][/C][C][/C][/ROW]
[ROW][C]Harmonic Mean[/C][C]1.10625107460305e-13[/C][C][/C][C][/C][/ROW]
[ROW][C]Quadratic Mean[/C][C]0.0482559173861611[/C][C][/C][C][/C][/ROW]
[ROW][C]Winsorized Mean ( 1 / 66 )[/C][C]-0.00289986012940814[/C][C]0.00320414047703873[/C][C]-0.905035266146693[/C][/ROW]
[ROW][C]Winsorized Mean ( 2 / 66 )[/C][C]-0.00417799031144734[/C][C]0.00280595166549255[/C][C]-1.48897444058929[/C][/ROW]
[ROW][C]Winsorized Mean ( 3 / 66 )[/C][C]-0.00223150026881629[/C][C]0.00211797934111286[/C][C]-1.05359869451974[/C][/ROW]
[ROW][C]Winsorized Mean ( 4 / 66 )[/C][C]-0.00257317143055421[/C][C]0.00203078679656463[/C][C]-1.26708103229108[/C][/ROW]
[ROW][C]Winsorized Mean ( 5 / 66 )[/C][C]-0.00293628763817946[/C][C]0.00181533335917567[/C][C]-1.61749224919924[/C][/ROW]
[ROW][C]Winsorized Mean ( 6 / 66 )[/C][C]-0.00334734756061179[/C][C]0.00147809322872446[/C][C]-2.26463899269766[/C][/ROW]
[ROW][C]Winsorized Mean ( 7 / 66 )[/C][C]-0.0032584461288312[/C][C]0.00145488403682747[/C][C]-2.23966037591324[/C][/ROW]
[ROW][C]Winsorized Mean ( 8 / 66 )[/C][C]-0.00332538947830280[/C][C]0.00135954428593396[/C][C]-2.44595892366859[/C][/ROW]
[ROW][C]Winsorized Mean ( 9 / 66 )[/C][C]-0.00343354866922014[/C][C]0.00130773266527397[/C][C]-2.62557383507798[/C][/ROW]
[ROW][C]Winsorized Mean ( 10 / 66 )[/C][C]-0.00179423594688549[/C][C]0.000943063480871296[/C][C]-1.90256115657007[/C][/ROW]
[ROW][C]Winsorized Mean ( 11 / 66 )[/C][C]-0.00171287656891073[/C][C]0.000928406241533082[/C][C]-1.8449645126063[/C][/ROW]
[ROW][C]Winsorized Mean ( 12 / 66 )[/C][C]-0.00170332166802449[/C][C]0.000926709766034606[/C][C]-1.83803142089784[/C][/ROW]
[ROW][C]Winsorized Mean ( 13 / 66 )[/C][C]-0.000895857868115488[/C][C]0.000800355047503298[/C][C]-1.11932556795901[/C][/ROW]
[ROW][C]Winsorized Mean ( 14 / 66 )[/C][C]-0.000895857868115487[/C][C]0.000800355047503298[/C][C]-1.11932556795901[/C][/ROW]
[ROW][C]Winsorized Mean ( 15 / 66 )[/C][C]-0.00100197744719446[/C][C]0.000785410437786042[/C][C]-1.27573737117486[/C][/ROW]
[ROW][C]Winsorized Mean ( 16 / 66 )[/C][C]-0.00111006481821230[/C][C]0.000770790169672294[/C][C]-1.44016473210115[/C][/ROW]
[ROW][C]Winsorized Mean ( 17 / 66 )[/C][C]-0.00113427936104506[/C][C]0.000767595833968522[/C][C]-1.4777039046457[/C][/ROW]
[ROW][C]Winsorized Mean ( 18 / 66 )[/C][C]-0.00113221173748300[/C][C]0.000766416502960192[/C][C]-1.47727995562460[/C][/ROW]
[ROW][C]Winsorized Mean ( 19 / 66 )[/C][C]-0.00100351460004715[/C][C]0.00074920031562533[/C][C]-1.33944764720174[/C][/ROW]
[ROW][C]Winsorized Mean ( 20 / 66 )[/C][C]-0.00100351460004715[/C][C]0.00074920031562533[/C][C]-1.33944764720174[/C][/ROW]
[ROW][C]Winsorized Mean ( 21 / 66 )[/C][C]-0.000876987399830008[/C][C]0.00072886188970018[/C][C]-1.20322850216625[/C][/ROW]
[ROW][C]Winsorized Mean ( 22 / 66 )[/C][C]-0.00123654811791273[/C][C]0.00068234132031044[/C][C]-1.81221344964151[/C][/ROW]
[ROW][C]Winsorized Mean ( 23 / 66 )[/C][C]-0.00129696602537079[/C][C]0.000666654382064673[/C][C]-1.94548488731748[/C][/ROW]
[ROW][C]Winsorized Mean ( 24 / 66 )[/C][C]-0.00129696602537079[/C][C]0.000666654382064673[/C][C]-1.94548488731748[/C][/ROW]
[ROW][C]Winsorized Mean ( 25 / 66 )[/C][C]-0.00157270852387842[/C][C]0.000633560236072703[/C][C]-2.48233464528532[/C][/ROW]
[ROW][C]Winsorized Mean ( 26 / 66 )[/C][C]-0.00175115741943634[/C][C]0.000614304197351372[/C][C]-2.85063560852524[/C][/ROW]
[ROW][C]Winsorized Mean ( 27 / 66 )[/C][C]-0.00176554594529404[/C][C]0.000607981428188992[/C][C]-2.90394716587497[/C][/ROW]
[ROW][C]Winsorized Mean ( 28 / 66 )[/C][C]-0.00176554594529404[/C][C]0.000607981428188992[/C][C]-2.90394716587497[/C][/ROW]
[ROW][C]Winsorized Mean ( 29 / 66 )[/C][C]-0.00156311826731958[/C][C]0.000579924474589371[/C][C]-2.69538247791039[/C][/ROW]
[ROW][C]Winsorized Mean ( 30 / 66 )[/C][C]-0.00263483682337352[/C][C]0.000402238722755006[/C][C]-6.55043056353958[/C][/ROW]
[ROW][C]Winsorized Mean ( 31 / 66 )[/C][C]-0.00263483682337352[/C][C]0.000402238722755006[/C][C]-6.55043056353958[/C][/ROW]
[ROW][C]Winsorized Mean ( 32 / 66 )[/C][C]-0.00268781221845955[/C][C]0.00039993879730412[/C][C]-6.72055883694549[/C][/ROW]
[ROW][C]Winsorized Mean ( 33 / 66 )[/C][C]-0.00219652382567331[/C][C]0.0003075291389888[/C][C]-7.14249008369026[/C][/ROW]
[ROW][C]Winsorized Mean ( 34 / 66 )[/C][C]-0.00219652382567331[/C][C]0.0003075291389888[/C][C]-7.14249008369026[/C][/ROW]
[ROW][C]Winsorized Mean ( 35 / 66 )[/C][C]-0.00215230957580628[/C][C]0.000301141804699425[/C][C]-7.14716303820567[/C][/ROW]
[ROW][C]Winsorized Mean ( 36 / 66 )[/C][C]-0.00215230957580628[/C][C]0.000301141804699425[/C][C]-7.14716303820567[/C][/ROW]
[ROW][C]Winsorized Mean ( 37 / 66 )[/C][C]-0.00215230957580628[/C][C]0.000301141804699425[/C][C]-7.14716303820567[/C][/ROW]
[ROW][C]Winsorized Mean ( 38 / 66 )[/C][C]-0.00130610478827248[/C][C]0.000180293054082233[/C][C]-7.24434335488464[/C][/ROW]
[ROW][C]Winsorized Mean ( 39 / 66 )[/C][C]-0.00117918729713712[/C][C]0.000162524807734600[/C][C]-7.25542957763539[/C][/ROW]
[ROW][C]Winsorized Mean ( 40 / 66 )[/C][C]-0.00115177826740770[/C][C]0.000158701324742643[/C][C]-7.25752144334948[/C][/ROW]
[ROW][C]Winsorized Mean ( 41 / 66 )[/C][C]-0.000211626164290982[/C][C]2.82950262639897e-05[/C][C]-7.4792708201269[/C][/ROW]
[ROW][C]Winsorized Mean ( 42 / 66 )[/C][C]-0.000211626164290982[/C][C]2.82950262639897e-05[/C][C]-7.4792708201269[/C][/ROW]
[ROW][C]Winsorized Mean ( 43 / 66 )[/C][C]-0.000140440477144215[/C][C]1.87457024438441e-05[/C][C]-7.49187594142859[/C][/ROW]
[ROW][C]Winsorized Mean ( 44 / 66 )[/C][C]-6.11510841963527e-15[/C][C]2.29758864405825e-15[/C][C]-2.66153318412738[/C][/ROW]
[ROW][C]Winsorized Mean ( 45 / 66 )[/C][C]-5.51558798633777e-15[/C][C]2.24224085145754e-15[/C][C]-2.45985527502651[/C][/ROW]
[ROW][C]Winsorized Mean ( 46 / 66 )[/C][C]-5.51558798633777e-15[/C][C]2.24224085145754e-15[/C][C]-2.45985527502651[/C][/ROW]
[ROW][C]Winsorized Mean ( 47 / 66 )[/C][C]-5.41122702202278e-15[/C][C]2.23274844872398e-15[/C][C]-2.42357217854762[/C][/ROW]
[ROW][C]Winsorized Mean ( 48 / 66 )[/C][C]-5.41122702202278e-15[/C][C]2.23274844872398e-15[/C][C]-2.42357217854762[/C][/ROW]
[ROW][C]Winsorized Mean ( 49 / 66 )[/C][C]-5.41122702202279e-15[/C][C]2.23274844872398e-15[/C][C]-2.42357217854762[/C][/ROW]
[ROW][C]Winsorized Mean ( 50 / 66 )[/C][C]-5.41122702202278e-15[/C][C]2.23274844872398e-15[/C][C]-2.42357217854762[/C][/ROW]
[ROW][C]Winsorized Mean ( 51 / 66 )[/C][C]-5.63771251904654e-15[/C][C]2.21377960772928e-15[/C][C]-2.54664579046749[/C][/ROW]
[ROW][C]Winsorized Mean ( 52 / 66 )[/C][C]-5.63771251904654e-15[/C][C]2.21377960772928e-15[/C][C]-2.54664579046749[/C][/ROW]
[ROW][C]Winsorized Mean ( 53 / 66 )[/C][C]-5.63771251904654e-15[/C][C]2.21377960772928e-15[/C][C]-2.54664579046749[/C][/ROW]
[ROW][C]Winsorized Mean ( 54 / 66 )[/C][C]-5.63771251904654e-15[/C][C]2.21377960772928e-15[/C][C]-2.54664579046749[/C][/ROW]
[ROW][C]Winsorized Mean ( 55 / 66 )[/C][C]-5.63771251904654e-15[/C][C]2.21377960772928e-15[/C][C]-2.54664579046749[/C][/ROW]
[ROW][C]Winsorized Mean ( 56 / 66 )[/C][C]-1.16129328375798e-15[/C][C]1.83181048196817e-15[/C][C]-0.633959296111376[/C][/ROW]
[ROW][C]Winsorized Mean ( 57 / 66 )[/C][C]-1.16129328375798e-15[/C][C]1.83181048196817e-15[/C][C]-0.633959296111376[/C][/ROW]
[ROW][C]Winsorized Mean ( 58 / 66 )[/C][C]-1.16129328375798e-15[/C][C]1.83181048196817e-15[/C][C]-0.633959296111376[/C][/ROW]
[ROW][C]Winsorized Mean ( 59 / 66 )[/C][C]-1.16129328375798e-15[/C][C]1.83181048196817e-15[/C][C]-0.633959296111376[/C][/ROW]
[ROW][C]Winsorized Mean ( 60 / 66 )[/C][C]1.50324197534232e-15[/C][C]1.6349573928177e-15[/C][C]0.91943801223567[/C][/ROW]
[ROW][C]Winsorized Mean ( 61 / 66 )[/C][C]1.50324197534232e-15[/C][C]1.6349573928177e-15[/C][C]0.919438012235671[/C][/ROW]
[ROW][C]Winsorized Mean ( 62 / 66 )[/C][C]1.50324197534232e-15[/C][C]1.6349573928177e-15[/C][C]0.919438012235671[/C][/ROW]
[ROW][C]Winsorized Mean ( 63 / 66 )[/C][C]1.50324197534232e-15[/C][C]1.6349573928177e-15[/C][C]0.91943801223567[/C][/ROW]
[ROW][C]Winsorized Mean ( 64 / 66 )[/C][C]1.50324197534232e-15[/C][C]1.6349573928177e-15[/C][C]0.91943801223567[/C][/ROW]
[ROW][C]Winsorized Mean ( 65 / 66 )[/C][C]6.37268016134822e-16[/C][C]1.55674143770227e-15[/C][C]0.409360219173853[/C][/ROW]
[ROW][C]Winsorized Mean ( 66 / 66 )[/C][C]6.37268016134822e-16[/C][C]1.55674143770227e-15[/C][C]0.409360219173853[/C][/ROW]
[ROW][C]Trimmed Mean ( 1 / 66 )[/C][C]-0.00291928808708802[/C][C]0.00273255536404864[/C][C]-1.06833629996895[/C][/ROW]
[ROW][C]Trimmed Mean ( 2 / 66 )[/C][C]-0.00293911253370015[/C][C]0.00213304893856650[/C][C]-1.37789268711076[/C][/ROW]
[ROW][C]Trimmed Mean ( 3 / 66 )[/C][C]-0.00230051574104695[/C][C]0.00166608590088251[/C][C]-1.38079059418748[/C][/ROW]
[ROW][C]Trimmed Mean ( 4 / 66 )[/C][C]-0.00232447944668260[/C][C]0.00146833321476540[/C][C]-1.58307353079524[/C][/ROW]
[ROW][C]Trimmed Mean ( 5 / 66 )[/C][C]-0.00225903418776901[/C][C]0.00126860972874270[/C][C]-1.78071643042490[/C][/ROW]
[ROW][C]Trimmed Mean ( 6 / 66 )[/C][C]-0.00211493770895828[/C][C]0.00110719526705924[/C][C]-1.91017589388333[/C][/ROW]
[ROW][C]Trimmed Mean ( 7 / 66 )[/C][C]-0.00189407572837521[/C][C]0.00101897135261550[/C][C]-1.85881155884656[/C][/ROW]
[ROW][C]Trimmed Mean ( 8 / 66 )[/C][C]-0.00168221697054043[/C][C]0.000923796224915193[/C][C]-1.82098272884246[/C][/ROW]
[ROW][C]Trimmed Mean ( 9 / 66 )[/C][C]-0.00145650646123241[/C][C]0.0008365848886944[/C][C]-1.74101454725710[/C][/ROW]
[ROW][C]Trimmed Mean ( 10 / 66 )[/C][C]-0.00121242717629566[/C][C]0.000746534347020346[/C][C]-1.62407420520548[/C][/ROW]
[ROW][C]Trimmed Mean ( 11 / 66 )[/C][C]-0.00114705540431927[/C][C]0.000717181472519117[/C][C]-1.59939352628591[/C][/ROW]
[ROW][C]Trimmed Mean ( 12 / 66 )[/C][C]-0.00108860280467139[/C][C]0.000687391230706485[/C][C]-1.58367281402842[/C][/ROW]
[ROW][C]Trimmed Mean ( 13 / 66 )[/C][C]-0.00102972168749198[/C][C]0.000654904603550298[/C][C]-1.57232317792510[/C][/ROW]
[ROW][C]Trimmed Mean ( 14 / 66 )[/C][C]-0.0010416951954863[/C][C]0.00063721296109435[/C][C]-1.63476774498951[/C][/ROW]
[ROW][C]Trimmed Mean ( 15 / 66 )[/C][C]-0.00105395043308049[/C][C]0.000618040606960448[/C][C]-1.70530936189430[/C][/ROW]
[ROW][C]Trimmed Mean ( 16 / 66 )[/C][C]-0.00105807527323017[/C][C]0.000599071583678159[/C][C]-1.76619172409053[/C][/ROW]
[ROW][C]Trimmed Mean ( 17 / 66 )[/C][C]-0.00105416039785501[/C][C]0.0005801993641679[/C][C]-1.81689340416091[/C][/ROW]
[ROW][C]Trimmed Mean ( 18 / 66 )[/C][C]-0.00104841298299202[/C][C]0.00056000128963563[/C][C]-1.87216172961705[/C][/ROW]
[ROW][C]Trimmed Mean ( 19 / 66 )[/C][C]-0.00104266546896658[/C][C]0.000538027473797217[/C][C]-1.93794094120844[/C][/ROW]
[ROW][C]Trimmed Mean ( 20 / 66 )[/C][C]-0.00104524118402707[/C][C]0.000515926578604421[/C][C]-2.02594948074673[/C][/ROW]
[ROW][C]Trimmed Mean ( 21 / 66 )[/C][C]-0.00104788210706377[/C][C]0.00049153106257259[/C][C]-2.13187362275607[/C][/ROW]
[ROW][C]Trimmed Mean ( 22 / 66 )[/C][C]-0.00105831523937352[/C][C]0.000466914814531638[/C][C]-2.26661310893534[/C][/ROW]
[ROW][C]Trimmed Mean ( 23 / 66 )[/C][C]-0.00104779381797215[/C][C]0.000445124712665632[/C][C]-2.35393315212142[/C][/ROW]
[ROW][C]Trimmed Mean ( 24 / 66 )[/C][C]-0.00103353911503173[/C][C]0.000422745261001346[/C][C]-2.44482720535674[/C][/ROW]
[ROW][C]Trimmed Mean ( 25 / 66 )[/C][C]-0.00101890428667956[/C][C]0.000397707242180968[/C][C]-2.56194551824612[/C][/ROW]
[ROW][C]Trimmed Mean ( 26 / 66 )[/C][C]-0.000988968922506646[/C][C]0.000373494105130940[/C][C]-2.64788361829682[/C][/ROW]
[ROW][C]Trimmed Mean ( 27 / 66 )[/C][C]-0.000948811467452394[/C][C]0.000348373145073709[/C][C]-2.72354939199359[/C][/ROW]
[ROW][C]Trimmed Mean ( 28 / 66 )[/C][C]-0.000906798377028441[/C][C]0.000320434943211708[/C][C]-2.82989853709347[/C][/ROW]
[ROW][C]Trimmed Mean ( 29 / 66 )[/C][C]-0.000906798377028441[/C][C]0.000287845043372932[/C][C]-3.15030047557078[/C][/ROW]
[ROW][C]Trimmed Mean ( 30 / 66 )[/C][C]-0.000829142880940968[/C][C]0.000253548466008031[/C][C]-3.27015538289515[/C][/ROW]
[ROW][C]Trimmed Mean ( 31 / 66 )[/C][C]-0.000741911289519106[/C][C]0.000236257315796042[/C][C]-3.14026800405872[/C][/ROW]
[ROW][C]Trimmed Mean ( 32 / 66 )[/C][C]-0.000652114063055424[/C][C]0.000216098863937479[/C][C]-3.01766539246635[/C][/ROW]
[ROW][C]Trimmed Mean ( 33 / 66 )[/C][C]-0.000557165455060829[/C][C]0.000192167103364365[/C][C]-2.89937999431878[/C][/ROW]
[ROW][C]Trimmed Mean ( 34 / 66 )[/C][C]-0.000481896475693864[/C][C]0.000177853767007655[/C][C]-2.70950952460356[/C][/ROW]
[ROW][C]Trimmed Mean ( 35 / 66 )[/C][C]-0.000404311527730994[/C][C]0.000160923800640986[/C][C]-2.51244083299396[/C][/ROW]
[ROW][C]Trimmed Mean ( 36 / 66 )[/C][C]-0.000326275900584775[/C][C]0.000141466821890270[/C][C]-2.30637753944776[/C][/ROW]
[ROW][C]Trimmed Mean ( 37 / 66 )[/C][C]-0.000245762951941852[/C][C]0.000116772998391521[/C][C]-2.10462140500878[/C][/ROW]
[ROW][C]Trimmed Mean ( 38 / 66 )[/C][C]-0.000162652811407221[/C][C]8.19848558855581e-05[/C][C]-1.98393727293083[/C][/ROW]
[ROW][C]Trimmed Mean ( 39 / 66 )[/C][C]-0.000113323563052378[/C][C]6.58393916070103e-05[/C][C]-1.72121218447456[/C][/ROW]
[ROW][C]Trimmed Mean ( 40 / 66 )[/C][C]-6.77738308265345e-05[/C][C]4.77801229842132e-05[/C][C]-1.41845241480285[/C][/ROW]
[ROW][C]Trimmed Mean ( 41 / 66 )[/C][C]-2.18414394459767e-05[/C][C]1.27118650095225e-05[/C][C]-1.71819315494738[/C][/ROW]
[ROW][C]Trimmed Mean ( 42 / 66 )[/C][C]-1.38605847426544e-05[/C][C]9.96651847852916e-06[/C][C]-1.39071479900571[/C][/ROW]
[ROW][C]Trimmed Mean ( 43 / 66 )[/C][C]-5.59970004974176e-06[/C][C]5.59970004583928e-06[/C][C]-1.00000000069691[/C][/ROW]
[ROW][C]Trimmed Mean ( 44 / 66 )[/C][C]-4.29021897373005e-15[/C][C]2.29600140287384e-15[/C][C]-1.86856112908298[/C][/ROW]
[ROW][C]Trimmed Mean ( 45 / 66 )[/C][C]-4.21481031894058e-15[/C][C]2.27829265696614e-15[/C][C]-1.8499863509867[/C][/ROW]
[ROW][C]Trimmed Mean ( 46 / 66 )[/C][C]-4.1612803737802e-15[/C][C]2.26268993219395e-15[/C][C]-1.83908555678477[/C][/ROW]
[ROW][C]Trimmed Mean ( 47 / 66 )[/C][C]-4.10573043068924e-15[/C][C]2.24492800087252e-15[/C][C]-1.82889180815309[/C][/ROW]
[ROW][C]Trimmed Mean ( 48 / 66 )[/C][C]-4.05231403988182e-15[/C][C]2.22552858182807e-15[/C][C]-1.82083217127376[/C][/ROW]
[ROW][C]Trimmed Mean ( 49 / 66 )[/C][C]-3.99680288865057e-15[/C][C]2.20349196663945e-15[/C][C]-1.81384953935008[/C][/ROW]
[ROW][C]Trimmed Mean ( 50 / 66 )[/C][C]-3.93907129137007e-15[/C][C]2.17848145018448e-15[/C][C]-1.80817297803316[/C][/ROW]
[ROW][C]Trimmed Mean ( 51 / 66 )[/C][C]-3.87898330236383e-15[/C][C]2.15010277759491e-15[/C][C]-1.80409203819682[/C][/ROW]
[ROW][C]Trimmed Mean ( 52 / 66 )[/C][C]-3.80713978861046e-15[/C][C]2.11951509142193e-15[/C][C]-1.79623150786643[/C][/ROW]
[ROW][C]Trimmed Mean ( 53 / 66 )[/C][C]-3.73223910405906e-15[/C][C]2.08473110455157e-15[/C][C]-1.79027362133682[/C][/ROW]
[ROW][C]Trimmed Mean ( 54 / 66 )[/C][C]-3.65408186800543e-15[/C][C]2.04511930474435e-15[/C][C]-1.78673286175948[/C][/ROW]
[ROW][C]Trimmed Mean ( 55 / 66 )[/C][C]-3.57245097701609e-15[/C][C]1.99991210862904e-15[/C][C]-1.78630398886131[/C][/ROW]
[ROW][C]Trimmed Mean ( 56 / 66 )[/C][C]-3.48710959098177e-15[/C][C]1.94816298427139e-15[/C][C]-1.78994756554516[/C][/ROW]
[ROW][C]Trimmed Mean ( 57 / 66 )[/C][C]-3.48710959098177e-15[/C][C]1.92794440668357e-15[/C][C]-1.80871895418408[/C][/ROW]
[ROW][C]Trimmed Mean ( 58 / 66 )[/C][C]-3.5836966469296e-15[/C][C]1.90431235920303e-15[/C][C]-1.88188488595926[/C][/ROW]
[ROW][C]Trimmed Mean ( 59 / 66 )[/C][C]-3.79100544993958e-15[/C][C]1.87672422403070e-15[/C][C]-2.02001199824529[/C][/ROW]
[ROW][C]Trimmed Mean ( 60 / 66 )[/C][C]-3.90243393155745e-15[/C][C]1.84452042280589e-15[/C][C]-2.11569028095717[/C][/ROW]
[ROW][C]Trimmed Mean ( 61 / 66 )[/C][C]-4.1334457224506e-15[/C][C]1.82418687139138e-15[/C][C]-2.26591134234941[/C][/ROW]
[ROW][C]Trimmed Mean ( 62 / 66 )[/C][C]-4.37661602865392e-15[/C][C]1.79964938748112e-15[/C][C]-2.43192705151288[/C][/ROW]
[ROW][C]Trimmed Mean ( 63 / 66 )[/C][C]-4.63293067573309e-15[/C][C]1.77012027955593e-15[/C][C]-2.61729710079099[/C][/ROW]
[ROW][C]Trimmed Mean ( 64 / 66 )[/C][C]-4.90348502542777e-15[/C][C]1.73461166822399e-15[/C][C]-2.82684886493834[/C][/ROW]
[ROW][C]Trimmed Mean ( 65 / 66 )[/C][C]-5.18949962367644e-15[/C][C]1.69186311807981e-15[/C][C]-3.06732830110175[/C][/ROW]
[ROW][C]Trimmed Mean ( 66 / 66 )[/C][C]-5.45315426801179e-15[/C][C]1.65274459365296e-15[/C][C]-3.29945370201394[/C][/ROW]
[ROW][C]Median[/C][C]-4.4408920985006e-15[/C][C][/C][C][/C][/ROW]
[ROW][C]Midrange[/C][C]-0.04695046359294[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - Weighted Average at Xnp[/C][C]-3.11269868188482e-15[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - Weighted Average at X(n+1)p[/C][C]-3.11269868188482e-15[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - Empirical Distribution Function[/C][C]-3.11269868188482e-15[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - Empirical Distribution Function - Averaging[/C][C]-3.11269868188482e-15[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - Empirical Distribution Function - Interpolation[/C][C]-3.11269868188482e-15[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - Closest Observation[/C][C]-3.11269868188482e-15[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - True Basic - Statistics Graphics Toolkit[/C][C]-3.11269868188482e-15[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - MS Excel (old versions)[/C][C]-3.11269868188482e-15[/C][C][/C][C][/C][/ROW]
[ROW][C]Number of observations[/C][C]200[/C][C][/C][C][/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=99291&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=99291&T=1

As an alternative you can also use a QR Code:  

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

Central Tendency - Ungrouped Data
MeasureValueS.E.Value/S.E.
Arithmetic Mean-0.003359599842146540.00341247095938507-0.984506500460283
Geometric MeanNaN
Harmonic Mean1.10625107460305e-13
Quadratic Mean0.0482559173861611
Winsorized Mean ( 1 / 66 )-0.002899860129408140.00320414047703873-0.905035266146693
Winsorized Mean ( 2 / 66 )-0.004177990311447340.00280595166549255-1.48897444058929
Winsorized Mean ( 3 / 66 )-0.002231500268816290.00211797934111286-1.05359869451974
Winsorized Mean ( 4 / 66 )-0.002573171430554210.00203078679656463-1.26708103229108
Winsorized Mean ( 5 / 66 )-0.002936287638179460.00181533335917567-1.61749224919924
Winsorized Mean ( 6 / 66 )-0.003347347560611790.00147809322872446-2.26463899269766
Winsorized Mean ( 7 / 66 )-0.00325844612883120.00145488403682747-2.23966037591324
Winsorized Mean ( 8 / 66 )-0.003325389478302800.00135954428593396-2.44595892366859
Winsorized Mean ( 9 / 66 )-0.003433548669220140.00130773266527397-2.62557383507798
Winsorized Mean ( 10 / 66 )-0.001794235946885490.000943063480871296-1.90256115657007
Winsorized Mean ( 11 / 66 )-0.001712876568910730.000928406241533082-1.8449645126063
Winsorized Mean ( 12 / 66 )-0.001703321668024490.000926709766034606-1.83803142089784
Winsorized Mean ( 13 / 66 )-0.0008958578681154880.000800355047503298-1.11932556795901
Winsorized Mean ( 14 / 66 )-0.0008958578681154870.000800355047503298-1.11932556795901
Winsorized Mean ( 15 / 66 )-0.001001977447194460.000785410437786042-1.27573737117486
Winsorized Mean ( 16 / 66 )-0.001110064818212300.000770790169672294-1.44016473210115
Winsorized Mean ( 17 / 66 )-0.001134279361045060.000767595833968522-1.4777039046457
Winsorized Mean ( 18 / 66 )-0.001132211737483000.000766416502960192-1.47727995562460
Winsorized Mean ( 19 / 66 )-0.001003514600047150.00074920031562533-1.33944764720174
Winsorized Mean ( 20 / 66 )-0.001003514600047150.00074920031562533-1.33944764720174
Winsorized Mean ( 21 / 66 )-0.0008769873998300080.00072886188970018-1.20322850216625
Winsorized Mean ( 22 / 66 )-0.001236548117912730.00068234132031044-1.81221344964151
Winsorized Mean ( 23 / 66 )-0.001296966025370790.000666654382064673-1.94548488731748
Winsorized Mean ( 24 / 66 )-0.001296966025370790.000666654382064673-1.94548488731748
Winsorized Mean ( 25 / 66 )-0.001572708523878420.000633560236072703-2.48233464528532
Winsorized Mean ( 26 / 66 )-0.001751157419436340.000614304197351372-2.85063560852524
Winsorized Mean ( 27 / 66 )-0.001765545945294040.000607981428188992-2.90394716587497
Winsorized Mean ( 28 / 66 )-0.001765545945294040.000607981428188992-2.90394716587497
Winsorized Mean ( 29 / 66 )-0.001563118267319580.000579924474589371-2.69538247791039
Winsorized Mean ( 30 / 66 )-0.002634836823373520.000402238722755006-6.55043056353958
Winsorized Mean ( 31 / 66 )-0.002634836823373520.000402238722755006-6.55043056353958
Winsorized Mean ( 32 / 66 )-0.002687812218459550.00039993879730412-6.72055883694549
Winsorized Mean ( 33 / 66 )-0.002196523825673310.0003075291389888-7.14249008369026
Winsorized Mean ( 34 / 66 )-0.002196523825673310.0003075291389888-7.14249008369026
Winsorized Mean ( 35 / 66 )-0.002152309575806280.000301141804699425-7.14716303820567
Winsorized Mean ( 36 / 66 )-0.002152309575806280.000301141804699425-7.14716303820567
Winsorized Mean ( 37 / 66 )-0.002152309575806280.000301141804699425-7.14716303820567
Winsorized Mean ( 38 / 66 )-0.001306104788272480.000180293054082233-7.24434335488464
Winsorized Mean ( 39 / 66 )-0.001179187297137120.000162524807734600-7.25542957763539
Winsorized Mean ( 40 / 66 )-0.001151778267407700.000158701324742643-7.25752144334948
Winsorized Mean ( 41 / 66 )-0.0002116261642909822.82950262639897e-05-7.4792708201269
Winsorized Mean ( 42 / 66 )-0.0002116261642909822.82950262639897e-05-7.4792708201269
Winsorized Mean ( 43 / 66 )-0.0001404404771442151.87457024438441e-05-7.49187594142859
Winsorized Mean ( 44 / 66 )-6.11510841963527e-152.29758864405825e-15-2.66153318412738
Winsorized Mean ( 45 / 66 )-5.51558798633777e-152.24224085145754e-15-2.45985527502651
Winsorized Mean ( 46 / 66 )-5.51558798633777e-152.24224085145754e-15-2.45985527502651
Winsorized Mean ( 47 / 66 )-5.41122702202278e-152.23274844872398e-15-2.42357217854762
Winsorized Mean ( 48 / 66 )-5.41122702202278e-152.23274844872398e-15-2.42357217854762
Winsorized Mean ( 49 / 66 )-5.41122702202279e-152.23274844872398e-15-2.42357217854762
Winsorized Mean ( 50 / 66 )-5.41122702202278e-152.23274844872398e-15-2.42357217854762
Winsorized Mean ( 51 / 66 )-5.63771251904654e-152.21377960772928e-15-2.54664579046749
Winsorized Mean ( 52 / 66 )-5.63771251904654e-152.21377960772928e-15-2.54664579046749
Winsorized Mean ( 53 / 66 )-5.63771251904654e-152.21377960772928e-15-2.54664579046749
Winsorized Mean ( 54 / 66 )-5.63771251904654e-152.21377960772928e-15-2.54664579046749
Winsorized Mean ( 55 / 66 )-5.63771251904654e-152.21377960772928e-15-2.54664579046749
Winsorized Mean ( 56 / 66 )-1.16129328375798e-151.83181048196817e-15-0.633959296111376
Winsorized Mean ( 57 / 66 )-1.16129328375798e-151.83181048196817e-15-0.633959296111376
Winsorized Mean ( 58 / 66 )-1.16129328375798e-151.83181048196817e-15-0.633959296111376
Winsorized Mean ( 59 / 66 )-1.16129328375798e-151.83181048196817e-15-0.633959296111376
Winsorized Mean ( 60 / 66 )1.50324197534232e-151.6349573928177e-150.91943801223567
Winsorized Mean ( 61 / 66 )1.50324197534232e-151.6349573928177e-150.919438012235671
Winsorized Mean ( 62 / 66 )1.50324197534232e-151.6349573928177e-150.919438012235671
Winsorized Mean ( 63 / 66 )1.50324197534232e-151.6349573928177e-150.91943801223567
Winsorized Mean ( 64 / 66 )1.50324197534232e-151.6349573928177e-150.91943801223567
Winsorized Mean ( 65 / 66 )6.37268016134822e-161.55674143770227e-150.409360219173853
Winsorized Mean ( 66 / 66 )6.37268016134822e-161.55674143770227e-150.409360219173853
Trimmed Mean ( 1 / 66 )-0.002919288087088020.00273255536404864-1.06833629996895
Trimmed Mean ( 2 / 66 )-0.002939112533700150.00213304893856650-1.37789268711076
Trimmed Mean ( 3 / 66 )-0.002300515741046950.00166608590088251-1.38079059418748
Trimmed Mean ( 4 / 66 )-0.002324479446682600.00146833321476540-1.58307353079524
Trimmed Mean ( 5 / 66 )-0.002259034187769010.00126860972874270-1.78071643042490
Trimmed Mean ( 6 / 66 )-0.002114937708958280.00110719526705924-1.91017589388333
Trimmed Mean ( 7 / 66 )-0.001894075728375210.00101897135261550-1.85881155884656
Trimmed Mean ( 8 / 66 )-0.001682216970540430.000923796224915193-1.82098272884246
Trimmed Mean ( 9 / 66 )-0.001456506461232410.0008365848886944-1.74101454725710
Trimmed Mean ( 10 / 66 )-0.001212427176295660.000746534347020346-1.62407420520548
Trimmed Mean ( 11 / 66 )-0.001147055404319270.000717181472519117-1.59939352628591
Trimmed Mean ( 12 / 66 )-0.001088602804671390.000687391230706485-1.58367281402842
Trimmed Mean ( 13 / 66 )-0.001029721687491980.000654904603550298-1.57232317792510
Trimmed Mean ( 14 / 66 )-0.00104169519548630.00063721296109435-1.63476774498951
Trimmed Mean ( 15 / 66 )-0.001053950433080490.000618040606960448-1.70530936189430
Trimmed Mean ( 16 / 66 )-0.001058075273230170.000599071583678159-1.76619172409053
Trimmed Mean ( 17 / 66 )-0.001054160397855010.0005801993641679-1.81689340416091
Trimmed Mean ( 18 / 66 )-0.001048412982992020.00056000128963563-1.87216172961705
Trimmed Mean ( 19 / 66 )-0.001042665468966580.000538027473797217-1.93794094120844
Trimmed Mean ( 20 / 66 )-0.001045241184027070.000515926578604421-2.02594948074673
Trimmed Mean ( 21 / 66 )-0.001047882107063770.00049153106257259-2.13187362275607
Trimmed Mean ( 22 / 66 )-0.001058315239373520.000466914814531638-2.26661310893534
Trimmed Mean ( 23 / 66 )-0.001047793817972150.000445124712665632-2.35393315212142
Trimmed Mean ( 24 / 66 )-0.001033539115031730.000422745261001346-2.44482720535674
Trimmed Mean ( 25 / 66 )-0.001018904286679560.000397707242180968-2.56194551824612
Trimmed Mean ( 26 / 66 )-0.0009889689225066460.000373494105130940-2.64788361829682
Trimmed Mean ( 27 / 66 )-0.0009488114674523940.000348373145073709-2.72354939199359
Trimmed Mean ( 28 / 66 )-0.0009067983770284410.000320434943211708-2.82989853709347
Trimmed Mean ( 29 / 66 )-0.0009067983770284410.000287845043372932-3.15030047557078
Trimmed Mean ( 30 / 66 )-0.0008291428809409680.000253548466008031-3.27015538289515
Trimmed Mean ( 31 / 66 )-0.0007419112895191060.000236257315796042-3.14026800405872
Trimmed Mean ( 32 / 66 )-0.0006521140630554240.000216098863937479-3.01766539246635
Trimmed Mean ( 33 / 66 )-0.0005571654550608290.000192167103364365-2.89937999431878
Trimmed Mean ( 34 / 66 )-0.0004818964756938640.000177853767007655-2.70950952460356
Trimmed Mean ( 35 / 66 )-0.0004043115277309940.000160923800640986-2.51244083299396
Trimmed Mean ( 36 / 66 )-0.0003262759005847750.000141466821890270-2.30637753944776
Trimmed Mean ( 37 / 66 )-0.0002457629519418520.000116772998391521-2.10462140500878
Trimmed Mean ( 38 / 66 )-0.0001626528114072218.19848558855581e-05-1.98393727293083
Trimmed Mean ( 39 / 66 )-0.0001133235630523786.58393916070103e-05-1.72121218447456
Trimmed Mean ( 40 / 66 )-6.77738308265345e-054.77801229842132e-05-1.41845241480285
Trimmed Mean ( 41 / 66 )-2.18414394459767e-051.27118650095225e-05-1.71819315494738
Trimmed Mean ( 42 / 66 )-1.38605847426544e-059.96651847852916e-06-1.39071479900571
Trimmed Mean ( 43 / 66 )-5.59970004974176e-065.59970004583928e-06-1.00000000069691
Trimmed Mean ( 44 / 66 )-4.29021897373005e-152.29600140287384e-15-1.86856112908298
Trimmed Mean ( 45 / 66 )-4.21481031894058e-152.27829265696614e-15-1.8499863509867
Trimmed Mean ( 46 / 66 )-4.1612803737802e-152.26268993219395e-15-1.83908555678477
Trimmed Mean ( 47 / 66 )-4.10573043068924e-152.24492800087252e-15-1.82889180815309
Trimmed Mean ( 48 / 66 )-4.05231403988182e-152.22552858182807e-15-1.82083217127376
Trimmed Mean ( 49 / 66 )-3.99680288865057e-152.20349196663945e-15-1.81384953935008
Trimmed Mean ( 50 / 66 )-3.93907129137007e-152.17848145018448e-15-1.80817297803316
Trimmed Mean ( 51 / 66 )-3.87898330236383e-152.15010277759491e-15-1.80409203819682
Trimmed Mean ( 52 / 66 )-3.80713978861046e-152.11951509142193e-15-1.79623150786643
Trimmed Mean ( 53 / 66 )-3.73223910405906e-152.08473110455157e-15-1.79027362133682
Trimmed Mean ( 54 / 66 )-3.65408186800543e-152.04511930474435e-15-1.78673286175948
Trimmed Mean ( 55 / 66 )-3.57245097701609e-151.99991210862904e-15-1.78630398886131
Trimmed Mean ( 56 / 66 )-3.48710959098177e-151.94816298427139e-15-1.78994756554516
Trimmed Mean ( 57 / 66 )-3.48710959098177e-151.92794440668357e-15-1.80871895418408
Trimmed Mean ( 58 / 66 )-3.5836966469296e-151.90431235920303e-15-1.88188488595926
Trimmed Mean ( 59 / 66 )-3.79100544993958e-151.87672422403070e-15-2.02001199824529
Trimmed Mean ( 60 / 66 )-3.90243393155745e-151.84452042280589e-15-2.11569028095717
Trimmed Mean ( 61 / 66 )-4.1334457224506e-151.82418687139138e-15-2.26591134234941
Trimmed Mean ( 62 / 66 )-4.37661602865392e-151.79964938748112e-15-2.43192705151288
Trimmed Mean ( 63 / 66 )-4.63293067573309e-151.77012027955593e-15-2.61729710079099
Trimmed Mean ( 64 / 66 )-4.90348502542777e-151.73461166822399e-15-2.82684886493834
Trimmed Mean ( 65 / 66 )-5.18949962367644e-151.69186311807981e-15-3.06732830110175
Trimmed Mean ( 66 / 66 )-5.45315426801179e-151.65274459365296e-15-3.29945370201394
Median-4.4408920985006e-15
Midrange-0.04695046359294
Midmean - Weighted Average at Xnp-3.11269868188482e-15
Midmean - Weighted Average at X(n+1)p-3.11269868188482e-15
Midmean - Empirical Distribution Function-3.11269868188482e-15
Midmean - Empirical Distribution Function - Averaging-3.11269868188482e-15
Midmean - Empirical Distribution Function - Interpolation-3.11269868188482e-15
Midmean - Closest Observation-3.11269868188482e-15
Midmean - True Basic - Statistics Graphics Toolkit-3.11269868188482e-15
Midmean - MS Excel (old versions)-3.11269868188482e-15
Number of observations200



Parameters (Session):
par1 = Apollo Oil Corp. ; par3 = Time series of Xycoon Stock Exchange ; par4 = No season ;
Parameters (R input):
R code (references can be found in the software module):
geomean <- function(x) {

return(exp(mean(log(x))))
}
harmean <- function(x) {
return(1/mean(1/x))
}
quamean <- function(x) {

return(sqrt(mean(x*x)))
}
winmean <- function(x) {
x <-sort(x[!is.na(x)])
n<-length(x)
denom <- 3

nodenom <- n/denom
if (nodenom>40) denom <- n/40
sqrtn = sqrt(n)
roundnodenom = floor(nodenom)
win <- array(NA,dim=c(roundnodenom,2))
for (j in 1:roundnodenom) {

win[j,1] <- (j*x[j+1]+sum(x[(j+1):(n-j)])+j*x[n-j])/n
win[j,2] <- sd(c(rep(x[j+1],j),x[(j+1):(n-j)],rep(x[n-j],j)))/sqrtn
}
return(win)
}
trimean <- function(x) {

x <-sort(x[!is.na(x)])
n<-length(x)
denom <- 3
nodenom <- n/denom
if (nodenom>40) denom <- n/40
sqrtn = sqrt(n)

roundnodenom = floor(nodenom)
tri <- array(NA,dim=c(roundnodenom,2))
for (j in 1:roundnodenom) {
tri[j,1] <- mean(x,trim=j/n)
tri[j,2] <- sd(x[(j+1):(n-j)]) / sqrt(n-j*2)
}

return(tri)
}
midrange <- function(x) {
return((max(x)+min(x))/2)
}
q1 <- function(data,n,p,i,f) {

np <- n*p;
i <<- floor(np)
f <<- np - i
qvalue <- (1-f)*data[i] + f*data[i+1]
}
q2 <- function(data,n,p,i,f) {

np <- (n+1)*p
i <<- floor(np)
f <<- np - i
qvalue <- (1-f)*data[i] + f*data[i+1]
}
q3 <- function(data,n,p,i,f) {

np <- n*p
i <<- floor(np)
f <<- np - i
if (f==0) {
qvalue <- data[i]
} else {

qvalue <- data[i+1]
}
}
q4 <- function(data,n,p,i,f) {
np <- n*p
i <<- floor(np)

f <<- np - i
if (f==0) {
qvalue <- (data[i]+data[i+1])/2
} else {
qvalue <- data[i+1]
}

}
q5 <- function(data,n,p,i,f) {
np <- (n-1)*p
i <<- floor(np)
f <<- np - i
if (f==0) {

qvalue <- data[i+1]
} else {
qvalue <- data[i+1] + f*(data[i+2]-data[i+1])
}
}
q6 <- function(data,n,p,i,f) {

np <- n*p+0.5
i <<- floor(np)
f <<- np - i
qvalue <- data[i]
}
q7 <- function(data,n,p,i,f) {

np <- (n+1)*p
i <<- floor(np)
f <<- np - i
if (f==0) {
qvalue <- data[i]
} else {

qvalue <- f*data[i] + (1-f)*data[i+1]
}
}
q8 <- function(data,n,p,i,f) {
np <- (n+1)*p
i <<- floor(np)

f <<- np - i
if (f==0) {
qvalue <- data[i]
} else {
if (f == 0.5) {
qvalue <- (data[i]+data[i+1])/2

} else {
if (f < 0.5) {
qvalue <- data[i]
} else {
qvalue <- data[i+1]
}

}
}
}
midmean <- function(x,def) {
x <-sort(x[!is.na(x)])
n<-length(x)

if (def==1) {
qvalue1 <- q1(x,n,0.25,i,f)
qvalue3 <- q1(x,n,0.75,i,f)
}
if (def==2) {
qvalue1 <- q2(x,n,0.25,i,f)

qvalue3 <- q2(x,n,0.75,i,f)
}
if (def==3) {
qvalue1 <- q3(x,n,0.25,i,f)
qvalue3 <- q3(x,n,0.75,i,f)
}

if (def==4) {
qvalue1 <- q4(x,n,0.25,i,f)
qvalue3 <- q4(x,n,0.75,i,f)
}
if (def==5) {
qvalue1 <- q5(x,n,0.25,i,f)

qvalue3 <- q5(x,n,0.75,i,f)
}
if (def==6) {
qvalue1 <- q6(x,n,0.25,i,f)
qvalue3 <- q6(x,n,0.75,i,f)
}

if (def==7) {
qvalue1 <- q7(x,n,0.25,i,f)
qvalue3 <- q7(x,n,0.75,i,f)
}
if (def==8) {
qvalue1 <- q8(x,n,0.25,i,f)

qvalue3 <- q8(x,n,0.75,i,f)
}
midm <- 0
myn <- 0
roundno4 <- round(n/4)
round3no4 <- round(3*n/4)

for (i in 1:n) {
if ((x[i]>=qvalue1) & (x[i]<=qvalue3)){
midm = midm + x[i]
myn = myn + 1
}
}

midm = midm / myn
return(midm)
}
(arm <- mean(x))
sqrtn <- sqrt(length(x))
(armse <- sd(x) / sqrtn)

(armose <- arm / armse)
(geo <- geomean(x))
(har <- harmean(x))
(qua <- quamean(x))
(win <- winmean(x))
(tri <- trimean(x))

(midr <- midrange(x))
midm <- array(NA,dim=8)
for (j in 1:8) midm[j] <- midmean(x,j)
midm
bitmap(file='test1.png')
lb <- win[,1] - 2*win[,2]

ub <- win[,1] + 2*win[,2]
if ((ylimmin == '') | (ylimmax == '')) plot(win[,1],type='b',main=main, xlab='j', pch=19, ylab='Winsorized Mean(j/n)', ylim=c(min(lb),max(ub))) else plot(win[,1],type='l',main=main, xlab='j', pch=19, ylab='Winsorized Mean(j/n)', ylim=c(ylimmin,ylimmax))
lines(ub,lty=3)
lines(lb,lty=3)
grid()
dev.off()

bitmap(file='test2.png')
lb <- tri[,1] - 2*tri[,2]
ub <- tri[,1] + 2*tri[,2]
if ((ylimmin == '') | (ylimmax == '')) plot(tri[,1],type='b',main=main, xlab='j', pch=19, ylab='Trimmed Mean(j/n)', ylim=c(min(lb),max(ub))) else plot(tri[,1],type='l',main=main, xlab='j', pch=19, ylab='Trimmed Mean(j/n)', ylim=c(ylimmin,ylimmax))
lines(ub,lty=3)
lines(lb,lty=3)

grid()
dev.off()
load(file='createtable')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Central Tendency - Ungrouped Data',4,TRUE)

a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Measure',header=TRUE)
a<-table.element(a,'Value',header=TRUE)
a<-table.element(a,'S.E.',header=TRUE)
a<-table.element(a,'Value/S.E.',header=TRUE)

a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,hyperlink('arithmetic_mean.htm', 'Arithmetic Mean', 'click to view the definition of the Arithmetic Mean'),header=TRUE)
a<-table.element(a,arm)
a<-table.element(a,hyperlink('arithmetic_mean_standard_error.htm', armse, 'click to view the definition of the Standard Error of the Arithmetic Mean'))
a<-table.element(a,armose)

a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,hyperlink('geometric_mean.htm', 'Geometric Mean', 'click to view the definition of the Geometric Mean'),header=TRUE)
a<-table.element(a,geo)
a<-table.element(a,'')
a<-table.element(a,'')

a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,hyperlink('harmonic_mean.htm', 'Harmonic Mean', 'click to view the definition of the Harmonic Mean'),header=TRUE)
a<-table.element(a,har)
a<-table.element(a,'')
a<-table.element(a,'')

a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,hyperlink('quadratic_mean.htm', 'Quadratic Mean', 'click to view the definition of the Quadratic Mean'),header=TRUE)
a<-table.element(a,qua)
a<-table.element(a,'')
a<-table.element(a,'')

a<-table.row.end(a)
for (j in 1:length(win[,1])) {
a<-table.row.start(a)
mylabel <- paste('Winsorized Mean (',j)
mylabel <- paste(mylabel,'/')
mylabel <- paste(mylabel,length(win[,1]))

mylabel <- paste(mylabel,')')
a<-table.element(a,hyperlink('winsorized_mean.htm', mylabel, 'click to view the definition of the Winsorized Mean'),header=TRUE)
a<-table.element(a,win[j,1])
a<-table.element(a,win[j,2])
a<-table.element(a,win[j,1]/win[j,2])
a<-table.row.end(a)

}
for (j in 1:length(tri[,1])) {
a<-table.row.start(a)
mylabel <- paste('Trimmed Mean (',j)
mylabel <- paste(mylabel,'/')
mylabel <- paste(mylabel,length(tri[,1]))

mylabel <- paste(mylabel,')')
a<-table.element(a,hyperlink('arithmetic_mean.htm', mylabel, 'click to view the definition of the Trimmed Mean'),header=TRUE)
a<-table.element(a,tri[j,1])
a<-table.element(a,tri[j,2])
a<-table.element(a,tri[j,1]/tri[j,2])
a<-table.row.end(a)

}
a<-table.row.start(a)
a<-table.element(a,hyperlink('median_1.htm', 'Median', 'click to view the definition of the Median'),header=TRUE)
a<-table.element(a,median(x))
a<-table.element(a,'')
a<-table.element(a,'')

a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,hyperlink('midrange.htm', 'Midrange', 'click to view the definition of the Midrange'),header=TRUE)
a<-table.element(a,midr)
a<-table.element(a,'')
a<-table.element(a,'')

a<-table.row.end(a)
a<-table.row.start(a)
mymid <- hyperlink('midmean.htm', 'Midmean', 'click to view the definition of the Midmean')
mylabel <- paste(mymid,hyperlink('method_1.htm','Weighted Average at Xnp',''),sep=' - ')
a<-table.element(a,mylabel,header=TRUE)
a<-table.element(a,midm[1])

a<-table.element(a,'')
a<-table.element(a,'')
a<-table.row.end(a)
a<-table.row.start(a)
mymid <- hyperlink('midmean.htm', 'Midmean', 'click to view the definition of the Midmean')
mylabel <- paste(mymid,hyperlink('method_2.htm','Weighted Average at X(n+1)p',''),sep=' - ')

a<-table.element(a,mylabel,header=TRUE)
a<-table.element(a,midm[2])
a<-table.element(a,'')
a<-table.element(a,'')
a<-table.row.end(a)
a<-table.row.start(a)

mymid <- hyperlink('midmean.htm', 'Midmean', 'click to view the definition of the Midmean')
mylabel <- paste(mymid,hyperlink('method_3.htm','Empirical Distribution Function',''),sep=' - ')
a<-table.element(a,mylabel,header=TRUE)
a<-table.element(a,midm[3])
a<-table.element(a,'')
a<-table.element(a,'')

a<-table.row.end(a)
a<-table.row.start(a)
mymid <- hyperlink('midmean.htm', 'Midmean', 'click to view the definition of the Midmean')
mylabel <- paste(mymid,hyperlink('method_4.htm','Empirical Distribution Function - Averaging',''),sep=' - ')
a<-table.element(a,mylabel,header=TRUE)
a<-table.element(a,midm[4])

a<-table.element(a,'')
a<-table.element(a,'')
a<-table.row.end(a)
a<-table.row.start(a)
mymid <- hyperlink('midmean.htm', 'Midmean', 'click to view the definition of the Midmean')
mylabel <- paste(mymid,hyperlink('method_5.htm','Empirical Distribution Function - Interpolation',''),sep=' - ')

a<-table.element(a,mylabel,header=TRUE)
a<-table.element(a,midm[5])
a<-table.element(a,'')
a<-table.element(a,'')
a<-table.row.end(a)
a<-table.row.start(a)

mymid <- hyperlink('midmean.htm', 'Midmean', 'click to view the definition of the Midmean')
mylabel <- paste(mymid,hyperlink('method_6.htm','Closest Observation',''),sep=' - ')
a<-table.element(a,mylabel,header=TRUE)
a<-table.element(a,midm[6])
a<-table.element(a,'')
a<-table.element(a,'')

a<-table.row.end(a)
a<-table.row.start(a)
mymid <- hyperlink('midmean.htm', 'Midmean', 'click to view the definition of the Midmean')
mylabel <- paste(mymid,hyperlink('method_7.htm','True Basic - Statistics Graphics Toolkit',''),sep=' - ')
a<-table.element(a,mylabel,header=TRUE)
a<-table.element(a,midm[7])

a<-table.element(a,'')
a<-table.element(a,'')
a<-table.row.end(a)
a<-table.row.start(a)
mymid <- hyperlink('midmean.htm', 'Midmean', 'click to view the definition of the Midmean')
mylabel <- paste(mymid,hyperlink('method_8.htm','MS Excel (old versions)',''),sep=' - ')

a<-table.element(a,mylabel,header=TRUE)
a<-table.element(a,midm[8])
a<-table.element(a,'')
a<-table.element(a,'')
a<-table.row.end(a)
a<-table.row.start(a)

a<-table.element(a,'Number of observations',header=TRUE)
a<-table.element(a,length(x))
a<-table.element(a,'')
a<-table.element(a,'')
a<-table.row.end(a)
a<-table.end(a)

table.save(a,file='mytable.tab')