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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 15:40:47 +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/t1290526779hn4iafu4u5orvqw.htm/, Retrieved Fri, 29 Mar 2024 05:30:49 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=99300, Retrieved Fri, 29 Mar 2024 05:30:49 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact106
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Central Tendency] [CHE central tendency] [2010-11-23 15:40:47] [f76239c595e4d455b3b05a43389f68d5] [Current]
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Dataseries X:
2.5313084961454E-14
0.0070484873310255
-3.5971225997855E-14
-3.5971225997855E-14
-3.5971225997855E-14
-0.0070484873310361
2.5313084961454E-14
2.5313084961454E-14
2.5313084961454E-14
2.5313084961454E-14
2.5313084961454E-14
2.5313084961454E-14
2.5313084961454E-14
0.0070484873310255
-0.0070484873310361
0.0070484873310255
-3.5971225997855E-14
-3.5971225997855E-14
-0.22336306618724
-1.2434497875802E-14
-1.2434497875802E-14
0.029207051746288
2.1316282072803E-14
2.1316282072803E-14
-0.029207051746279
-1.2434497875802E-14
-1.2434497875802E-14
0.029207051746288
2.1316282072803E-14
2.1316282072803E-14
2.1316282072803E-14
2.1316282072803E-14
-0.25344890080958
-3.9968028886506E-14
-3.9968028886506E-14
-3.9968028886506E-14
-3.9968028886506E-14
0.0027434859457602
-0.0027434859457909
-3.9968028886506E-14
-3.9968028886506E-14
-3.9968028886506E-14
-3.9968028886506E-14
0.0027434859457602
-0.041964199098991
0.039220713153242
-3.9968028886506E-14
-3.9968028886506E-14
0.0027434859457602
9.3258734068513E-15
9.3258734068513E-15
9.3258734068513E-15
9.3258734068513E-15
9.3258734068513E-15
9.3258734068513E-15
-0.0027434859457909
-3.9968028886506E-14
-3.9968028886506E-14
-0.06234313057414
-3.9968028886506E-15
-3.9968028886506E-15
-0.053295913866004
4.7517545453957E-14
4.7517545453957E-14
4.7517545453957E-14
-0.013975382737553
4.8849813083507E-14
4.8849813083507E-14
-0.019740080385951
2.5313084961454E-14
2.5313084961454E-14
2.5313084961454E-14
2.5313084961454E-14
0.014252022707225
2.3980817331903E-14
-0.014252022707176
2.5313084961454E-14
2.5313084961454E-14
2.5313084961454E-14
0.014252022707225
2.3980817331903E-14
2.3980817331903E-14
2.3980817331903E-14
2.3980817331903E-14
2.3980817331903E-14
2.3980817331903E-14
-0.058268908123976
-4.4408920985006E-16
0.058268908124
2.3980817331903E-14
2.3980817331903E-14
-0.014252022707176
0.014252022707225
-0.014252022707176
2.5313084961454E-14
2.5313084961454E-14
2.5313084961454E-14
0.0047732787526256
0.0094787439545678
2.3980817331903E-14
-0.014252022707176
2.5313084961454E-14
-0.059130523226774
4.7961634663807E-14
4.7961634663807E-14
4.7961634663807E-14
-0.013628831055652
0.013628831055654
4.7961634663807E-14
-0.027445976608752
-4.4408920985006E-15
-4.4408920985006E-15
-0.026433257068204
-0.018018505502649
2.9309887850104E-14
2.9309887850104E-14
2.9309887850104E-14
0.018018505502629
-0.018018505502649
2.9309887850104E-14
2.9309887850104E-14
2.9309887850104E-14
2.9309887850104E-14
2.9309887850104E-14
2.9309887850104E-14
2.9309887850104E-14
2.9309887850104E-14
2.9309887850104E-14
0.018018505502629
-0.018018505502649
2.9309887850104E-14
0.018018505502629
-4.8849813083507E-14
-4.8849813083507E-14
-0.018018505502649
2.9309887850104E-14
2.9309887850104E-14
2.9309887850104E-14
2.9309887850104E-14
2.9309887850104E-14
2.9309887850104E-14
2.9309887850104E-14
2.9309887850104E-14
2.9309887850104E-14
0.018018505502629
-4.8849813083507E-14
-4.8849813083507E-14
-0.018018505502649
0.018018505502629
-4.8849813083507E-14
-4.8849813083507E-14
-4.8849813083507E-14
-4.8849813083507E-14
-0.018018505502649
2.9309887850104E-14
2.9309887850104E-14
0.018018505502629
-4.8849813083507E-14
-4.8849813083507E-14
-4.8849813083507E-14
-4.8849813083507E-14
-0.018018505502649
2.9309887850104E-14
2.9309887850104E-14
0.018018505502629
-4.8849813083507E-14
-4.8849813083507E-14
0.025563313559651
-0.089149906971764
-0.049742091894859
-4.5741188614556E-14
-4.5741188614556E-14
-4.5741188614556E-14
0.049742091894854
4.0412118096356E-14
0.08914990697184
3.5527136788005E-14
-0.089149906971764
4.0412118096356E-14
4.0412118096356E-14
4.0412118096356E-14
4.0412118096356E-14
4.0412118096356E-14
4.0412118096356E-14
4.0412118096356E-14
4.0412118096356E-14
0.08914990697184
-0.089149906971764
4.0412118096356E-14
4.0412118096356E-14
4.0412118096356E-14
4.0412118096356E-14
4.0412118096356E-14
4.0412118096356E-14
4.0412118096356E-14
4.0412118096356E-14
4.0412118096356E-14
4.0412118096356E-14
4.0412118096356E-14
4.0412118096356E-14




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time3 seconds
R Server'RServer@AstonUniversity' @ vre.aston.ac.uk

\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 & 'RServer@AstonUniversity' @ vre.aston.ac.uk \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=99300&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]'RServer@AstonUniversity' @ vre.aston.ac.uk[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=99300&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=99300&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 time3 seconds
R Server'RServer@AstonUniversity' @ vre.aston.ac.uk







Central Tendency - Ungrouped Data
MeasureValueS.E.Value/S.E.
Arithmetic Mean-0.003832536428987140.00217441206561657-1.76256216086641
Geometric MeanNaN
Harmonic Mean-3.32847602006107e-13
Quadratic Mean0.0309123573004097
Winsorized Mean ( 1 / 66 )-0.003682107255875440.00209124700133668-1.76072326871092
Winsorized Mean ( 2 / 66 )-0.002648785652199080.00143865061302598-1.84115978418677
Winsorized Mean ( 3 / 66 )-0.002776687895636270.00141308426743727-1.96498394301141
Winsorized Mean ( 4 / 66 )-0.002987115470468510.00137718584913445-2.16899953796786
Winsorized Mean ( 5 / 66 )-0.002567287595701760.00114546761136232-2.24125725619466
Winsorized Mean ( 6 / 66 )-0.002470909375280780.00112058238529435-2.20502250232295
Winsorized Mean ( 7 / 66 )-0.002568283683215140.00109560408479663-2.3441713287258
Winsorized Mean ( 8 / 66 )-0.002671156235177140.00100996346047838-2.64480482681218
Winsorized Mean ( 9 / 66 )-0.002511234246475620.000970250828854633-2.58823200330588
Winsorized Mean ( 10 / 66 )-0.002122339606682220.000878194340219346-2.4167083633813
Winsorized Mean ( 11 / 66 )-0.001420696502283060.000729916922397728-1.94638109994239
Winsorized Mean ( 12 / 66 )-0.001315031994031440.00071003510080651-1.85206617607739
Winsorized Mean ( 13 / 66 )-0.001249205223895820.000697979562826844-1.78974470088564
Winsorized Mean ( 14 / 66 )-0.0007806828561381060.000619067726435584-1.26106211453318
Winsorized Mean ( 15 / 66 )-0.0009340509495457560.000558225126137274-1.67325135650749
Winsorized Mean ( 16 / 66 )-0.0009340509495457560.000558225126137274-1.67325135650749
Winsorized Mean ( 17 / 66 )-0.0009340509495457560.000558225126137274-1.67325135650749
Winsorized Mean ( 18 / 66 )-0.0009901381981871460.00055064950295699-1.79812783425773
Winsorized Mean ( 19 / 66 )-0.001384396472790330.000502722375356291-2.75379919544894
Winsorized Mean ( 20 / 66 )-0.001627422135144560.000478401531316053-3.40179123312509
Winsorized Mean ( 21 / 66 )-0.001627422135144560.000478401531316053-3.40179123312509
Winsorized Mean ( 22 / 66 )-0.001213109027642540.000409384287512796-2.9632525347095
Winsorized Mean ( 23 / 66 )-0.001474758014158520.000385380270828437-3.82676054222572
Winsorized Mean ( 24 / 66 )-0.001718333150982370.000367979803822951-4.66963983656322
Winsorized Mean ( 25 / 66 )-0.001718333150982370.000367979803822951-4.66963983656322
Winsorized Mean ( 26 / 66 )-0.001682369954931380.000361832094828746-4.64958741630602
Winsorized Mean ( 27 / 66 )-0.002005956080545780.000336644125077705-5.95868435275014
Winsorized Mean ( 28 / 66 )-0.001084707959099550.000178644418770049-6.07188271857396
Winsorized Mean ( 29 / 66 )-0.001084707959099680.000178644418770045-6.07188271857482
Winsorized Mean ( 30 / 66 )-0.0004389577513129027.12977518418489e-05-6.15668432696992
Winsorized Mean ( 31 / 66 )-0.0004389577513129027.12977518418489e-05-6.15668432696992
Winsorized Mean ( 32 / 66 )5.82645043323286e-152.73327565587133e-152.13167318880446
Winsorized Mean ( 33 / 66 )5.75317571360761e-152.7276185151659e-152.10923033467445
Winsorized Mean ( 34 / 66 )5.75317571360761e-152.7276185151659e-152.10923033467445
Winsorized Mean ( 35 / 66 )5.75317571360761e-152.7276185151659e-152.10923033467445
Winsorized Mean ( 36 / 66 )4.47419878923943e-152.63448450749747e-151.69832040253276
Winsorized Mean ( 37 / 66 )4.47419878923943e-152.63448450749747e-151.69832040253276
Winsorized Mean ( 38 / 66 )4.47419878923943e-152.63448450749747e-151.69832040253276
Winsorized Mean ( 39 / 66 )4.47419878923943e-152.63448450749747e-151.69832040253276
Winsorized Mean ( 40 / 66 )4.47419878923943e-152.63448450749747e-151.69832040253276
Winsorized Mean ( 41 / 66 )4.47419878923943e-152.63448450749747e-151.69832040253276
Winsorized Mean ( 42 / 66 )4.47419878923943e-152.63448450749747e-151.69832040253276
Winsorized Mean ( 43 / 66 )4.47419878923943e-152.63448450749747e-151.69832040253276
Winsorized Mean ( 44 / 66 )4.47419878923943e-152.63448450749747e-151.69832040253276
Winsorized Mean ( 45 / 66 )4.47419878923943e-152.63448450749747e-151.69832040253276
Winsorized Mean ( 46 / 66 )5.18918241709816e-152.56240802116522e-152.02511948691858
Winsorized Mean ( 47 / 66 )5.18918241709816e-152.56240802116522e-152.02511948691858
Winsorized Mean ( 48 / 66 )5.18918241709816e-152.56240802116522e-152.02511948691858
Winsorized Mean ( 49 / 66 )6.60360655047041e-152.4234116152388e-152.72492155643139
Winsorized Mean ( 50 / 66 )6.60360655047041e-152.4234116152388e-152.72492155643139
Winsorized Mean ( 51 / 66 )6.6036065504704e-152.4234116152388e-152.72492155643139
Winsorized Mean ( 52 / 66 )6.6036065504704e-152.4234116152388e-152.72492155643139
Winsorized Mean ( 53 / 66 )6.6036065504704e-152.4234116152388e-152.72492155643139
Winsorized Mean ( 54 / 66 )6.6036065504704e-152.4234116152388e-152.72492155643139
Winsorized Mean ( 55 / 66 )6.6036065504704e-152.4234116152388e-152.72492155643139
Winsorized Mean ( 56 / 66 )6.6036065504704e-152.4234116152388e-152.72492155643139
Winsorized Mean ( 57 / 66 )5.21138687759037e-152.32901384139622e-152.23759377680048
Winsorized Mean ( 58 / 66 )3.40838468559908e-152.21697081428603e-151.5374062047347
Winsorized Mean ( 59 / 66 )3.40838468559908e-152.21697081428603e-151.5374062047347
Winsorized Mean ( 60 / 66 )3.40838468559908e-152.21697081428603e-151.5374062047347
Winsorized Mean ( 61 / 66 )4.62740956663764e-152.09774859500814e-152.20589329800966
Winsorized Mean ( 62 / 66 )4.62740956663764e-152.09774859500814e-152.20589329800966
Winsorized Mean ( 63 / 66 )4.62740956663764e-152.09774859500814e-152.20589329800966
Winsorized Mean ( 64 / 66 )4.62740956663764e-152.09774859500814e-152.20589329800966
Winsorized Mean ( 65 / 66 )4.62740956663764e-152.09774859500814e-152.20589329800966
Winsorized Mean ( 66 / 66 )1.23945298469151e-141.35899156004533e-159.12038765457948
Trimmed Mean ( 1 / 66 )-0.003041456019998420.00173265109619857-1.75537707890028
Trimmed Mean ( 2 / 66 )-0.002387730269103510.0012526737928191-1.90610698714308
Trimmed Mean ( 3 / 66 )-0.002253165638641870.00114122304917018-1.97434291243962
Trimmed Mean ( 4 / 66 )-0.002071387077185490.00102466305402595-2.02152997421631
Trimmed Mean ( 5 / 66 )-0.001830405921058370.000901813722760708-2.02969402090598
Trimmed Mean ( 6 / 66 )-0.001673622586027870.00083607367571985-2.00176447917332
Trimmed Mean ( 7 / 66 )-0.001530739648885770.000768381450107059-1.99216111824731
Trimmed Mean ( 8 / 66 )-0.001369630326784940.000696995011498425-1.96505040092103
Trimmed Mean ( 9 / 66 )-0.001190849295412380.00063492428637726-1.87557685374914
Trimmed Mean ( 10 / 66 )-0.00102783880762680.000572189784944343-1.79632498634483
Trimmed Mean ( 11 / 66 )-0.00090486118975540.000519645912841012-1.7413033902419
Trimmed Mean ( 12 / 66 )-0.0008515724178000640.000488438296560316-1.74345956039281
Trimmed Mean ( 13 / 66 )-0.0008071797380844150.000456911269899293-1.76660063180828
Trimmed Mean ( 14 / 66 )-0.0007676425747739140.000423413770567631-1.81298443304007
Trimmed Mean ( 15 / 66 )-0.0007665467528105360.000398399490746904-1.92406559399322
Trimmed Mean ( 16 / 66 )-0.0007532527689426620.000379323300932466-1.9857803807227
Trimmed Mean ( 17 / 66 )-0.0007396384481141160.00035816213145419-2.06509394254238
Trimmed Mean ( 18 / 66 )-0.0007256920706799950.000334455323212102-2.16977282260143
Trimmed Mean ( 19 / 66 )-0.0007075544762007670.000308675284343464-2.29222912260597
Trimmed Mean ( 20 / 66 )-0.0006630253974777690.000286032091418742-2.31801052178834
Trimmed Mean ( 21 / 66 )-0.000601987629271010.000263327990314851-2.28607535625528
Trimmed Mean ( 22 / 66 )-0.000539384790084590.000236951643027109-2.27634965174257
Trimmed Mean ( 23 / 66 )-0.0004996135836171790.00021721946780816-2.30004054727921
Trimmed Mean ( 24 / 66 )-0.0004438272889637840.000197398470864779-2.24838260914297
Trimmed Mean ( 25 / 66 )-0.0003730214077405290.000176058508185515-2.11873547938661
Trimmed Mean ( 26 / 66 )-0.000300301854051780.000150021759958007-2.00172197777069
Trimmed Mean ( 27 / 66 )-0.0002274847781361010.000117565730954669-1.93495822540171
Trimmed Mean ( 28 / 66 )-0.0001359996288351917.36680378709113e-05-1.84611444482211
Trimmed Mean ( 29 / 66 )-0.0001359996288351915.63729040596933e-05-2.41249996081772
Trimmed Mean ( 30 / 66 )-3.91926563592298e-052.76135246829148e-05-1.41932827515783
Trimmed Mean ( 31 / 66 )-1.98803329315161e-051.98803329405794e-05-0.999999999544107
Trimmed Mean ( 32 / 66 )8.77729261821302e-152.79742427492746e-153.13763367855261
Trimmed Mean ( 33 / 66 )8.91492518281098e-152.79091120879341e-153.19427044282972
Trimmed Mean ( 34 / 66 )9.06009274338046e-152.78363447838818e-153.25477098869193
Trimmed Mean ( 35 / 66 )9.20972699812132e-152.775152863125e-153.31863773001339
Trimmed Mean ( 36 / 66 )9.36403732332282e-152.7653502116035e-153.38620305089425
Trimmed Mean ( 37 / 66 )9.5796386696228e-152.75972818340175e-153.47122543706988
Trimmed Mean ( 38 / 66 )9.80219489806148e-152.75285400064803e-153.56073910776017
Trimmed Mean ( 39 / 66 )1.00320480520227e-142.74459617273287e-153.65520004425043
Trimmed Mean ( 40 / 66 )1.02695629777827e-142.73480679655973e-153.75513290032092
Trimmed Mean ( 41 / 66 )1.05151292569583e-142.72331896455121e-153.86114494623333
Trimmed Mean ( 42 / 66 )1.0769163338864e-142.70994365212025e-153.97394363917429
Trimmed Mean ( 43 / 66 )1.10321108973279e-142.694465952704e-154.09435899023209
Trimmed Mean ( 44 / 66 )1.13044494400226e-142.67664048682886e-154.2233723563733
Trimmed Mean ( 45 / 66 )1.15866912024516e-142.65618575392736e-154.36215395904442
Trimmed Mean ( 46 / 66 )1.18793863634892e-142.63277711421166e-154.51211243798975
Trimmed Mean ( 47 / 66 )1.21537999790097e-142.6124032311757e-154.65234456686075
Trimmed Mean ( 48 / 66 )1.2438767964358e-142.58896149279617e-154.80453958043373
Trimmed Mean ( 49 / 66 )1.2734911164818e-142.56204682632405e-154.97060047223635
Trimmed Mean ( 50 / 66 )1.29851684960158e-142.54402254861776e-155.10418765866325
Trimmed Mean ( 51 / 66 )1.32456404121605e-142.52299282809797e-155.24997148808629
Trimmed Mean ( 52 / 66 )1.35169653248113e-142.4985433321128e-155.40993832329541
Trimmed Mean ( 53 / 66 )1.37998359784259e-142.47018552209674e-155.58655852160946
Trimmed Mean ( 54 / 66 )1.40950053561107e-142.43733863845493e-155.78294912890961
Trimmed Mean ( 55 / 66 )1.44032933728037e-142.39930576163648e-156.00310873382796
Trimmed Mean ( 56 / 66 )1.47255944811646e-142.35524135007763e-156.25226560355659
Trimmed Mean ( 57 / 66 )1.47255944811646e-142.30410616278985e-156.39102256613669
Trimmed Mean ( 58 / 66 )1.50628863387515e-142.25162290701284e-156.68979085789058
Trimmed Mean ( 59 / 66 )1.59817958325309e-142.19702143153379e-157.27430128952984
Trimmed Mean ( 60 / 66 )1.65145674912992e-142.13209212213321e-157.74571010317132
Trimmed Mean ( 61 / 66 )1.70746607735941e-142.05449765372469e-158.31086895749852
Trimmed Mean ( 62 / 66 )1.76116431380012e-141.98085609390332e-158.89092508648472
Trimmed Mean ( 63 / 66 )1.817765157616e-141.89183283759129e-159.608487185001
Trimmed Mean ( 64 / 66 )1.87751049275499e-141.78303823743001e-1510.5298386391373
Trimmed Mean ( 65 / 66 )1.94066984704477e-141.6478943142932e-1511.7766644997325
Trimmed Mean ( 66 / 66 )2.00754445746925e-141.47565368924975e-1513.6044416931586
Median2.5313084961454e-14
Midrange-0.08214949691887
Midmean - Weighted Average at Xnp1.58636389049049e-14
Midmean - Weighted Average at X(n+1)p1.58636389049049e-14
Midmean - Empirical Distribution Function1.58636389049049e-14
Midmean - Empirical Distribution Function - Averaging1.58636389049049e-14
Midmean - Empirical Distribution Function - Interpolation1.58636389049049e-14
Midmean - Closest Observation1.58636389049049e-14
Midmean - True Basic - Statistics Graphics Toolkit1.58636389049049e-14
Midmean - MS Excel (old versions)1.58636389049049e-14
Number of observations200

\begin{tabular}{lllllllll}
\hline
Central Tendency - Ungrouped Data \tabularnewline
Measure & Value & S.E. & Value/S.E. \tabularnewline
Arithmetic Mean & -0.00383253642898714 & 0.00217441206561657 & -1.76256216086641 \tabularnewline
Geometric Mean & NaN &  &  \tabularnewline
Harmonic Mean & -3.32847602006107e-13 &  &  \tabularnewline
Quadratic Mean & 0.0309123573004097 &  &  \tabularnewline
Winsorized Mean ( 1 / 66 ) & -0.00368210725587544 & 0.00209124700133668 & -1.76072326871092 \tabularnewline
Winsorized Mean ( 2 / 66 ) & -0.00264878565219908 & 0.00143865061302598 & -1.84115978418677 \tabularnewline
Winsorized Mean ( 3 / 66 ) & -0.00277668789563627 & 0.00141308426743727 & -1.96498394301141 \tabularnewline
Winsorized Mean ( 4 / 66 ) & -0.00298711547046851 & 0.00137718584913445 & -2.16899953796786 \tabularnewline
Winsorized Mean ( 5 / 66 ) & -0.00256728759570176 & 0.00114546761136232 & -2.24125725619466 \tabularnewline
Winsorized Mean ( 6 / 66 ) & -0.00247090937528078 & 0.00112058238529435 & -2.20502250232295 \tabularnewline
Winsorized Mean ( 7 / 66 ) & -0.00256828368321514 & 0.00109560408479663 & -2.3441713287258 \tabularnewline
Winsorized Mean ( 8 / 66 ) & -0.00267115623517714 & 0.00100996346047838 & -2.64480482681218 \tabularnewline
Winsorized Mean ( 9 / 66 ) & -0.00251123424647562 & 0.000970250828854633 & -2.58823200330588 \tabularnewline
Winsorized Mean ( 10 / 66 ) & -0.00212233960668222 & 0.000878194340219346 & -2.4167083633813 \tabularnewline
Winsorized Mean ( 11 / 66 ) & -0.00142069650228306 & 0.000729916922397728 & -1.94638109994239 \tabularnewline
Winsorized Mean ( 12 / 66 ) & -0.00131503199403144 & 0.00071003510080651 & -1.85206617607739 \tabularnewline
Winsorized Mean ( 13 / 66 ) & -0.00124920522389582 & 0.000697979562826844 & -1.78974470088564 \tabularnewline
Winsorized Mean ( 14 / 66 ) & -0.000780682856138106 & 0.000619067726435584 & -1.26106211453318 \tabularnewline
Winsorized Mean ( 15 / 66 ) & -0.000934050949545756 & 0.000558225126137274 & -1.67325135650749 \tabularnewline
Winsorized Mean ( 16 / 66 ) & -0.000934050949545756 & 0.000558225126137274 & -1.67325135650749 \tabularnewline
Winsorized Mean ( 17 / 66 ) & -0.000934050949545756 & 0.000558225126137274 & -1.67325135650749 \tabularnewline
Winsorized Mean ( 18 / 66 ) & -0.000990138198187146 & 0.00055064950295699 & -1.79812783425773 \tabularnewline
Winsorized Mean ( 19 / 66 ) & -0.00138439647279033 & 0.000502722375356291 & -2.75379919544894 \tabularnewline
Winsorized Mean ( 20 / 66 ) & -0.00162742213514456 & 0.000478401531316053 & -3.40179123312509 \tabularnewline
Winsorized Mean ( 21 / 66 ) & -0.00162742213514456 & 0.000478401531316053 & -3.40179123312509 \tabularnewline
Winsorized Mean ( 22 / 66 ) & -0.00121310902764254 & 0.000409384287512796 & -2.9632525347095 \tabularnewline
Winsorized Mean ( 23 / 66 ) & -0.00147475801415852 & 0.000385380270828437 & -3.82676054222572 \tabularnewline
Winsorized Mean ( 24 / 66 ) & -0.00171833315098237 & 0.000367979803822951 & -4.66963983656322 \tabularnewline
Winsorized Mean ( 25 / 66 ) & -0.00171833315098237 & 0.000367979803822951 & -4.66963983656322 \tabularnewline
Winsorized Mean ( 26 / 66 ) & -0.00168236995493138 & 0.000361832094828746 & -4.64958741630602 \tabularnewline
Winsorized Mean ( 27 / 66 ) & -0.00200595608054578 & 0.000336644125077705 & -5.95868435275014 \tabularnewline
Winsorized Mean ( 28 / 66 ) & -0.00108470795909955 & 0.000178644418770049 & -6.07188271857396 \tabularnewline
Winsorized Mean ( 29 / 66 ) & -0.00108470795909968 & 0.000178644418770045 & -6.07188271857482 \tabularnewline
Winsorized Mean ( 30 / 66 ) & -0.000438957751312902 & 7.12977518418489e-05 & -6.15668432696992 \tabularnewline
Winsorized Mean ( 31 / 66 ) & -0.000438957751312902 & 7.12977518418489e-05 & -6.15668432696992 \tabularnewline
Winsorized Mean ( 32 / 66 ) & 5.82645043323286e-15 & 2.73327565587133e-15 & 2.13167318880446 \tabularnewline
Winsorized Mean ( 33 / 66 ) & 5.75317571360761e-15 & 2.7276185151659e-15 & 2.10923033467445 \tabularnewline
Winsorized Mean ( 34 / 66 ) & 5.75317571360761e-15 & 2.7276185151659e-15 & 2.10923033467445 \tabularnewline
Winsorized Mean ( 35 / 66 ) & 5.75317571360761e-15 & 2.7276185151659e-15 & 2.10923033467445 \tabularnewline
Winsorized Mean ( 36 / 66 ) & 4.47419878923943e-15 & 2.63448450749747e-15 & 1.69832040253276 \tabularnewline
Winsorized Mean ( 37 / 66 ) & 4.47419878923943e-15 & 2.63448450749747e-15 & 1.69832040253276 \tabularnewline
Winsorized Mean ( 38 / 66 ) & 4.47419878923943e-15 & 2.63448450749747e-15 & 1.69832040253276 \tabularnewline
Winsorized Mean ( 39 / 66 ) & 4.47419878923943e-15 & 2.63448450749747e-15 & 1.69832040253276 \tabularnewline
Winsorized Mean ( 40 / 66 ) & 4.47419878923943e-15 & 2.63448450749747e-15 & 1.69832040253276 \tabularnewline
Winsorized Mean ( 41 / 66 ) & 4.47419878923943e-15 & 2.63448450749747e-15 & 1.69832040253276 \tabularnewline
Winsorized Mean ( 42 / 66 ) & 4.47419878923943e-15 & 2.63448450749747e-15 & 1.69832040253276 \tabularnewline
Winsorized Mean ( 43 / 66 ) & 4.47419878923943e-15 & 2.63448450749747e-15 & 1.69832040253276 \tabularnewline
Winsorized Mean ( 44 / 66 ) & 4.47419878923943e-15 & 2.63448450749747e-15 & 1.69832040253276 \tabularnewline
Winsorized Mean ( 45 / 66 ) & 4.47419878923943e-15 & 2.63448450749747e-15 & 1.69832040253276 \tabularnewline
Winsorized Mean ( 46 / 66 ) & 5.18918241709816e-15 & 2.56240802116522e-15 & 2.02511948691858 \tabularnewline
Winsorized Mean ( 47 / 66 ) & 5.18918241709816e-15 & 2.56240802116522e-15 & 2.02511948691858 \tabularnewline
Winsorized Mean ( 48 / 66 ) & 5.18918241709816e-15 & 2.56240802116522e-15 & 2.02511948691858 \tabularnewline
Winsorized Mean ( 49 / 66 ) & 6.60360655047041e-15 & 2.4234116152388e-15 & 2.72492155643139 \tabularnewline
Winsorized Mean ( 50 / 66 ) & 6.60360655047041e-15 & 2.4234116152388e-15 & 2.72492155643139 \tabularnewline
Winsorized Mean ( 51 / 66 ) & 6.6036065504704e-15 & 2.4234116152388e-15 & 2.72492155643139 \tabularnewline
Winsorized Mean ( 52 / 66 ) & 6.6036065504704e-15 & 2.4234116152388e-15 & 2.72492155643139 \tabularnewline
Winsorized Mean ( 53 / 66 ) & 6.6036065504704e-15 & 2.4234116152388e-15 & 2.72492155643139 \tabularnewline
Winsorized Mean ( 54 / 66 ) & 6.6036065504704e-15 & 2.4234116152388e-15 & 2.72492155643139 \tabularnewline
Winsorized Mean ( 55 / 66 ) & 6.6036065504704e-15 & 2.4234116152388e-15 & 2.72492155643139 \tabularnewline
Winsorized Mean ( 56 / 66 ) & 6.6036065504704e-15 & 2.4234116152388e-15 & 2.72492155643139 \tabularnewline
Winsorized Mean ( 57 / 66 ) & 5.21138687759037e-15 & 2.32901384139622e-15 & 2.23759377680048 \tabularnewline
Winsorized Mean ( 58 / 66 ) & 3.40838468559908e-15 & 2.21697081428603e-15 & 1.5374062047347 \tabularnewline
Winsorized Mean ( 59 / 66 ) & 3.40838468559908e-15 & 2.21697081428603e-15 & 1.5374062047347 \tabularnewline
Winsorized Mean ( 60 / 66 ) & 3.40838468559908e-15 & 2.21697081428603e-15 & 1.5374062047347 \tabularnewline
Winsorized Mean ( 61 / 66 ) & 4.62740956663764e-15 & 2.09774859500814e-15 & 2.20589329800966 \tabularnewline
Winsorized Mean ( 62 / 66 ) & 4.62740956663764e-15 & 2.09774859500814e-15 & 2.20589329800966 \tabularnewline
Winsorized Mean ( 63 / 66 ) & 4.62740956663764e-15 & 2.09774859500814e-15 & 2.20589329800966 \tabularnewline
Winsorized Mean ( 64 / 66 ) & 4.62740956663764e-15 & 2.09774859500814e-15 & 2.20589329800966 \tabularnewline
Winsorized Mean ( 65 / 66 ) & 4.62740956663764e-15 & 2.09774859500814e-15 & 2.20589329800966 \tabularnewline
Winsorized Mean ( 66 / 66 ) & 1.23945298469151e-14 & 1.35899156004533e-15 & 9.12038765457948 \tabularnewline
Trimmed Mean ( 1 / 66 ) & -0.00304145601999842 & 0.00173265109619857 & -1.75537707890028 \tabularnewline
Trimmed Mean ( 2 / 66 ) & -0.00238773026910351 & 0.0012526737928191 & -1.90610698714308 \tabularnewline
Trimmed Mean ( 3 / 66 ) & -0.00225316563864187 & 0.00114122304917018 & -1.97434291243962 \tabularnewline
Trimmed Mean ( 4 / 66 ) & -0.00207138707718549 & 0.00102466305402595 & -2.02152997421631 \tabularnewline
Trimmed Mean ( 5 / 66 ) & -0.00183040592105837 & 0.000901813722760708 & -2.02969402090598 \tabularnewline
Trimmed Mean ( 6 / 66 ) & -0.00167362258602787 & 0.00083607367571985 & -2.00176447917332 \tabularnewline
Trimmed Mean ( 7 / 66 ) & -0.00153073964888577 & 0.000768381450107059 & -1.99216111824731 \tabularnewline
Trimmed Mean ( 8 / 66 ) & -0.00136963032678494 & 0.000696995011498425 & -1.96505040092103 \tabularnewline
Trimmed Mean ( 9 / 66 ) & -0.00119084929541238 & 0.00063492428637726 & -1.87557685374914 \tabularnewline
Trimmed Mean ( 10 / 66 ) & -0.0010278388076268 & 0.000572189784944343 & -1.79632498634483 \tabularnewline
Trimmed Mean ( 11 / 66 ) & -0.0009048611897554 & 0.000519645912841012 & -1.7413033902419 \tabularnewline
Trimmed Mean ( 12 / 66 ) & -0.000851572417800064 & 0.000488438296560316 & -1.74345956039281 \tabularnewline
Trimmed Mean ( 13 / 66 ) & -0.000807179738084415 & 0.000456911269899293 & -1.76660063180828 \tabularnewline
Trimmed Mean ( 14 / 66 ) & -0.000767642574773914 & 0.000423413770567631 & -1.81298443304007 \tabularnewline
Trimmed Mean ( 15 / 66 ) & -0.000766546752810536 & 0.000398399490746904 & -1.92406559399322 \tabularnewline
Trimmed Mean ( 16 / 66 ) & -0.000753252768942662 & 0.000379323300932466 & -1.9857803807227 \tabularnewline
Trimmed Mean ( 17 / 66 ) & -0.000739638448114116 & 0.00035816213145419 & -2.06509394254238 \tabularnewline
Trimmed Mean ( 18 / 66 ) & -0.000725692070679995 & 0.000334455323212102 & -2.16977282260143 \tabularnewline
Trimmed Mean ( 19 / 66 ) & -0.000707554476200767 & 0.000308675284343464 & -2.29222912260597 \tabularnewline
Trimmed Mean ( 20 / 66 ) & -0.000663025397477769 & 0.000286032091418742 & -2.31801052178834 \tabularnewline
Trimmed Mean ( 21 / 66 ) & -0.00060198762927101 & 0.000263327990314851 & -2.28607535625528 \tabularnewline
Trimmed Mean ( 22 / 66 ) & -0.00053938479008459 & 0.000236951643027109 & -2.27634965174257 \tabularnewline
Trimmed Mean ( 23 / 66 ) & -0.000499613583617179 & 0.00021721946780816 & -2.30004054727921 \tabularnewline
Trimmed Mean ( 24 / 66 ) & -0.000443827288963784 & 0.000197398470864779 & -2.24838260914297 \tabularnewline
Trimmed Mean ( 25 / 66 ) & -0.000373021407740529 & 0.000176058508185515 & -2.11873547938661 \tabularnewline
Trimmed Mean ( 26 / 66 ) & -0.00030030185405178 & 0.000150021759958007 & -2.00172197777069 \tabularnewline
Trimmed Mean ( 27 / 66 ) & -0.000227484778136101 & 0.000117565730954669 & -1.93495822540171 \tabularnewline
Trimmed Mean ( 28 / 66 ) & -0.000135999628835191 & 7.36680378709113e-05 & -1.84611444482211 \tabularnewline
Trimmed Mean ( 29 / 66 ) & -0.000135999628835191 & 5.63729040596933e-05 & -2.41249996081772 \tabularnewline
Trimmed Mean ( 30 / 66 ) & -3.91926563592298e-05 & 2.76135246829148e-05 & -1.41932827515783 \tabularnewline
Trimmed Mean ( 31 / 66 ) & -1.98803329315161e-05 & 1.98803329405794e-05 & -0.999999999544107 \tabularnewline
Trimmed Mean ( 32 / 66 ) & 8.77729261821302e-15 & 2.79742427492746e-15 & 3.13763367855261 \tabularnewline
Trimmed Mean ( 33 / 66 ) & 8.91492518281098e-15 & 2.79091120879341e-15 & 3.19427044282972 \tabularnewline
Trimmed Mean ( 34 / 66 ) & 9.06009274338046e-15 & 2.78363447838818e-15 & 3.25477098869193 \tabularnewline
Trimmed Mean ( 35 / 66 ) & 9.20972699812132e-15 & 2.775152863125e-15 & 3.31863773001339 \tabularnewline
Trimmed Mean ( 36 / 66 ) & 9.36403732332282e-15 & 2.7653502116035e-15 & 3.38620305089425 \tabularnewline
Trimmed Mean ( 37 / 66 ) & 9.5796386696228e-15 & 2.75972818340175e-15 & 3.47122543706988 \tabularnewline
Trimmed Mean ( 38 / 66 ) & 9.80219489806148e-15 & 2.75285400064803e-15 & 3.56073910776017 \tabularnewline
Trimmed Mean ( 39 / 66 ) & 1.00320480520227e-14 & 2.74459617273287e-15 & 3.65520004425043 \tabularnewline
Trimmed Mean ( 40 / 66 ) & 1.02695629777827e-14 & 2.73480679655973e-15 & 3.75513290032092 \tabularnewline
Trimmed Mean ( 41 / 66 ) & 1.05151292569583e-14 & 2.72331896455121e-15 & 3.86114494623333 \tabularnewline
Trimmed Mean ( 42 / 66 ) & 1.0769163338864e-14 & 2.70994365212025e-15 & 3.97394363917429 \tabularnewline
Trimmed Mean ( 43 / 66 ) & 1.10321108973279e-14 & 2.694465952704e-15 & 4.09435899023209 \tabularnewline
Trimmed Mean ( 44 / 66 ) & 1.13044494400226e-14 & 2.67664048682886e-15 & 4.2233723563733 \tabularnewline
Trimmed Mean ( 45 / 66 ) & 1.15866912024516e-14 & 2.65618575392736e-15 & 4.36215395904442 \tabularnewline
Trimmed Mean ( 46 / 66 ) & 1.18793863634892e-14 & 2.63277711421166e-15 & 4.51211243798975 \tabularnewline
Trimmed Mean ( 47 / 66 ) & 1.21537999790097e-14 & 2.6124032311757e-15 & 4.65234456686075 \tabularnewline
Trimmed Mean ( 48 / 66 ) & 1.2438767964358e-14 & 2.58896149279617e-15 & 4.80453958043373 \tabularnewline
Trimmed Mean ( 49 / 66 ) & 1.2734911164818e-14 & 2.56204682632405e-15 & 4.97060047223635 \tabularnewline
Trimmed Mean ( 50 / 66 ) & 1.29851684960158e-14 & 2.54402254861776e-15 & 5.10418765866325 \tabularnewline
Trimmed Mean ( 51 / 66 ) & 1.32456404121605e-14 & 2.52299282809797e-15 & 5.24997148808629 \tabularnewline
Trimmed Mean ( 52 / 66 ) & 1.35169653248113e-14 & 2.4985433321128e-15 & 5.40993832329541 \tabularnewline
Trimmed Mean ( 53 / 66 ) & 1.37998359784259e-14 & 2.47018552209674e-15 & 5.58655852160946 \tabularnewline
Trimmed Mean ( 54 / 66 ) & 1.40950053561107e-14 & 2.43733863845493e-15 & 5.78294912890961 \tabularnewline
Trimmed Mean ( 55 / 66 ) & 1.44032933728037e-14 & 2.39930576163648e-15 & 6.00310873382796 \tabularnewline
Trimmed Mean ( 56 / 66 ) & 1.47255944811646e-14 & 2.35524135007763e-15 & 6.25226560355659 \tabularnewline
Trimmed Mean ( 57 / 66 ) & 1.47255944811646e-14 & 2.30410616278985e-15 & 6.39102256613669 \tabularnewline
Trimmed Mean ( 58 / 66 ) & 1.50628863387515e-14 & 2.25162290701284e-15 & 6.68979085789058 \tabularnewline
Trimmed Mean ( 59 / 66 ) & 1.59817958325309e-14 & 2.19702143153379e-15 & 7.27430128952984 \tabularnewline
Trimmed Mean ( 60 / 66 ) & 1.65145674912992e-14 & 2.13209212213321e-15 & 7.74571010317132 \tabularnewline
Trimmed Mean ( 61 / 66 ) & 1.70746607735941e-14 & 2.05449765372469e-15 & 8.31086895749852 \tabularnewline
Trimmed Mean ( 62 / 66 ) & 1.76116431380012e-14 & 1.98085609390332e-15 & 8.89092508648472 \tabularnewline
Trimmed Mean ( 63 / 66 ) & 1.817765157616e-14 & 1.89183283759129e-15 & 9.608487185001 \tabularnewline
Trimmed Mean ( 64 / 66 ) & 1.87751049275499e-14 & 1.78303823743001e-15 & 10.5298386391373 \tabularnewline
Trimmed Mean ( 65 / 66 ) & 1.94066984704477e-14 & 1.6478943142932e-15 & 11.7766644997325 \tabularnewline
Trimmed Mean ( 66 / 66 ) & 2.00754445746925e-14 & 1.47565368924975e-15 & 13.6044416931586 \tabularnewline
Median & 2.5313084961454e-14 &  &  \tabularnewline
Midrange & -0.08214949691887 &  &  \tabularnewline
Midmean - Weighted Average at Xnp & 1.58636389049049e-14 &  &  \tabularnewline
Midmean - Weighted Average at X(n+1)p & 1.58636389049049e-14 &  &  \tabularnewline
Midmean - Empirical Distribution Function & 1.58636389049049e-14 &  &  \tabularnewline
Midmean - Empirical Distribution Function - Averaging & 1.58636389049049e-14 &  &  \tabularnewline
Midmean - Empirical Distribution Function - Interpolation & 1.58636389049049e-14 &  &  \tabularnewline
Midmean - Closest Observation & 1.58636389049049e-14 &  &  \tabularnewline
Midmean - True Basic - Statistics Graphics Toolkit & 1.58636389049049e-14 &  &  \tabularnewline
Midmean - MS Excel (old versions) & 1.58636389049049e-14 &  &  \tabularnewline
Number of observations & 200 &  &  \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=99300&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]-0.00383253642898714[/C][C]0.00217441206561657[/C][C]-1.76256216086641[/C][/ROW]
[ROW][C]Geometric Mean[/C][C]NaN[/C][C][/C][C][/C][/ROW]
[ROW][C]Harmonic Mean[/C][C]-3.32847602006107e-13[/C][C][/C][C][/C][/ROW]
[ROW][C]Quadratic Mean[/C][C]0.0309123573004097[/C][C][/C][C][/C][/ROW]
[ROW][C]Winsorized Mean ( 1 / 66 )[/C][C]-0.00368210725587544[/C][C]0.00209124700133668[/C][C]-1.76072326871092[/C][/ROW]
[ROW][C]Winsorized Mean ( 2 / 66 )[/C][C]-0.00264878565219908[/C][C]0.00143865061302598[/C][C]-1.84115978418677[/C][/ROW]
[ROW][C]Winsorized Mean ( 3 / 66 )[/C][C]-0.00277668789563627[/C][C]0.00141308426743727[/C][C]-1.96498394301141[/C][/ROW]
[ROW][C]Winsorized Mean ( 4 / 66 )[/C][C]-0.00298711547046851[/C][C]0.00137718584913445[/C][C]-2.16899953796786[/C][/ROW]
[ROW][C]Winsorized Mean ( 5 / 66 )[/C][C]-0.00256728759570176[/C][C]0.00114546761136232[/C][C]-2.24125725619466[/C][/ROW]
[ROW][C]Winsorized Mean ( 6 / 66 )[/C][C]-0.00247090937528078[/C][C]0.00112058238529435[/C][C]-2.20502250232295[/C][/ROW]
[ROW][C]Winsorized Mean ( 7 / 66 )[/C][C]-0.00256828368321514[/C][C]0.00109560408479663[/C][C]-2.3441713287258[/C][/ROW]
[ROW][C]Winsorized Mean ( 8 / 66 )[/C][C]-0.00267115623517714[/C][C]0.00100996346047838[/C][C]-2.64480482681218[/C][/ROW]
[ROW][C]Winsorized Mean ( 9 / 66 )[/C][C]-0.00251123424647562[/C][C]0.000970250828854633[/C][C]-2.58823200330588[/C][/ROW]
[ROW][C]Winsorized Mean ( 10 / 66 )[/C][C]-0.00212233960668222[/C][C]0.000878194340219346[/C][C]-2.4167083633813[/C][/ROW]
[ROW][C]Winsorized Mean ( 11 / 66 )[/C][C]-0.00142069650228306[/C][C]0.000729916922397728[/C][C]-1.94638109994239[/C][/ROW]
[ROW][C]Winsorized Mean ( 12 / 66 )[/C][C]-0.00131503199403144[/C][C]0.00071003510080651[/C][C]-1.85206617607739[/C][/ROW]
[ROW][C]Winsorized Mean ( 13 / 66 )[/C][C]-0.00124920522389582[/C][C]0.000697979562826844[/C][C]-1.78974470088564[/C][/ROW]
[ROW][C]Winsorized Mean ( 14 / 66 )[/C][C]-0.000780682856138106[/C][C]0.000619067726435584[/C][C]-1.26106211453318[/C][/ROW]
[ROW][C]Winsorized Mean ( 15 / 66 )[/C][C]-0.000934050949545756[/C][C]0.000558225126137274[/C][C]-1.67325135650749[/C][/ROW]
[ROW][C]Winsorized Mean ( 16 / 66 )[/C][C]-0.000934050949545756[/C][C]0.000558225126137274[/C][C]-1.67325135650749[/C][/ROW]
[ROW][C]Winsorized Mean ( 17 / 66 )[/C][C]-0.000934050949545756[/C][C]0.000558225126137274[/C][C]-1.67325135650749[/C][/ROW]
[ROW][C]Winsorized Mean ( 18 / 66 )[/C][C]-0.000990138198187146[/C][C]0.00055064950295699[/C][C]-1.79812783425773[/C][/ROW]
[ROW][C]Winsorized Mean ( 19 / 66 )[/C][C]-0.00138439647279033[/C][C]0.000502722375356291[/C][C]-2.75379919544894[/C][/ROW]
[ROW][C]Winsorized Mean ( 20 / 66 )[/C][C]-0.00162742213514456[/C][C]0.000478401531316053[/C][C]-3.40179123312509[/C][/ROW]
[ROW][C]Winsorized Mean ( 21 / 66 )[/C][C]-0.00162742213514456[/C][C]0.000478401531316053[/C][C]-3.40179123312509[/C][/ROW]
[ROW][C]Winsorized Mean ( 22 / 66 )[/C][C]-0.00121310902764254[/C][C]0.000409384287512796[/C][C]-2.9632525347095[/C][/ROW]
[ROW][C]Winsorized Mean ( 23 / 66 )[/C][C]-0.00147475801415852[/C][C]0.000385380270828437[/C][C]-3.82676054222572[/C][/ROW]
[ROW][C]Winsorized Mean ( 24 / 66 )[/C][C]-0.00171833315098237[/C][C]0.000367979803822951[/C][C]-4.66963983656322[/C][/ROW]
[ROW][C]Winsorized Mean ( 25 / 66 )[/C][C]-0.00171833315098237[/C][C]0.000367979803822951[/C][C]-4.66963983656322[/C][/ROW]
[ROW][C]Winsorized Mean ( 26 / 66 )[/C][C]-0.00168236995493138[/C][C]0.000361832094828746[/C][C]-4.64958741630602[/C][/ROW]
[ROW][C]Winsorized Mean ( 27 / 66 )[/C][C]-0.00200595608054578[/C][C]0.000336644125077705[/C][C]-5.95868435275014[/C][/ROW]
[ROW][C]Winsorized Mean ( 28 / 66 )[/C][C]-0.00108470795909955[/C][C]0.000178644418770049[/C][C]-6.07188271857396[/C][/ROW]
[ROW][C]Winsorized Mean ( 29 / 66 )[/C][C]-0.00108470795909968[/C][C]0.000178644418770045[/C][C]-6.07188271857482[/C][/ROW]
[ROW][C]Winsorized Mean ( 30 / 66 )[/C][C]-0.000438957751312902[/C][C]7.12977518418489e-05[/C][C]-6.15668432696992[/C][/ROW]
[ROW][C]Winsorized Mean ( 31 / 66 )[/C][C]-0.000438957751312902[/C][C]7.12977518418489e-05[/C][C]-6.15668432696992[/C][/ROW]
[ROW][C]Winsorized Mean ( 32 / 66 )[/C][C]5.82645043323286e-15[/C][C]2.73327565587133e-15[/C][C]2.13167318880446[/C][/ROW]
[ROW][C]Winsorized Mean ( 33 / 66 )[/C][C]5.75317571360761e-15[/C][C]2.7276185151659e-15[/C][C]2.10923033467445[/C][/ROW]
[ROW][C]Winsorized Mean ( 34 / 66 )[/C][C]5.75317571360761e-15[/C][C]2.7276185151659e-15[/C][C]2.10923033467445[/C][/ROW]
[ROW][C]Winsorized Mean ( 35 / 66 )[/C][C]5.75317571360761e-15[/C][C]2.7276185151659e-15[/C][C]2.10923033467445[/C][/ROW]
[ROW][C]Winsorized Mean ( 36 / 66 )[/C][C]4.47419878923943e-15[/C][C]2.63448450749747e-15[/C][C]1.69832040253276[/C][/ROW]
[ROW][C]Winsorized Mean ( 37 / 66 )[/C][C]4.47419878923943e-15[/C][C]2.63448450749747e-15[/C][C]1.69832040253276[/C][/ROW]
[ROW][C]Winsorized Mean ( 38 / 66 )[/C][C]4.47419878923943e-15[/C][C]2.63448450749747e-15[/C][C]1.69832040253276[/C][/ROW]
[ROW][C]Winsorized Mean ( 39 / 66 )[/C][C]4.47419878923943e-15[/C][C]2.63448450749747e-15[/C][C]1.69832040253276[/C][/ROW]
[ROW][C]Winsorized Mean ( 40 / 66 )[/C][C]4.47419878923943e-15[/C][C]2.63448450749747e-15[/C][C]1.69832040253276[/C][/ROW]
[ROW][C]Winsorized Mean ( 41 / 66 )[/C][C]4.47419878923943e-15[/C][C]2.63448450749747e-15[/C][C]1.69832040253276[/C][/ROW]
[ROW][C]Winsorized Mean ( 42 / 66 )[/C][C]4.47419878923943e-15[/C][C]2.63448450749747e-15[/C][C]1.69832040253276[/C][/ROW]
[ROW][C]Winsorized Mean ( 43 / 66 )[/C][C]4.47419878923943e-15[/C][C]2.63448450749747e-15[/C][C]1.69832040253276[/C][/ROW]
[ROW][C]Winsorized Mean ( 44 / 66 )[/C][C]4.47419878923943e-15[/C][C]2.63448450749747e-15[/C][C]1.69832040253276[/C][/ROW]
[ROW][C]Winsorized Mean ( 45 / 66 )[/C][C]4.47419878923943e-15[/C][C]2.63448450749747e-15[/C][C]1.69832040253276[/C][/ROW]
[ROW][C]Winsorized Mean ( 46 / 66 )[/C][C]5.18918241709816e-15[/C][C]2.56240802116522e-15[/C][C]2.02511948691858[/C][/ROW]
[ROW][C]Winsorized Mean ( 47 / 66 )[/C][C]5.18918241709816e-15[/C][C]2.56240802116522e-15[/C][C]2.02511948691858[/C][/ROW]
[ROW][C]Winsorized Mean ( 48 / 66 )[/C][C]5.18918241709816e-15[/C][C]2.56240802116522e-15[/C][C]2.02511948691858[/C][/ROW]
[ROW][C]Winsorized Mean ( 49 / 66 )[/C][C]6.60360655047041e-15[/C][C]2.4234116152388e-15[/C][C]2.72492155643139[/C][/ROW]
[ROW][C]Winsorized Mean ( 50 / 66 )[/C][C]6.60360655047041e-15[/C][C]2.4234116152388e-15[/C][C]2.72492155643139[/C][/ROW]
[ROW][C]Winsorized Mean ( 51 / 66 )[/C][C]6.6036065504704e-15[/C][C]2.4234116152388e-15[/C][C]2.72492155643139[/C][/ROW]
[ROW][C]Winsorized Mean ( 52 / 66 )[/C][C]6.6036065504704e-15[/C][C]2.4234116152388e-15[/C][C]2.72492155643139[/C][/ROW]
[ROW][C]Winsorized Mean ( 53 / 66 )[/C][C]6.6036065504704e-15[/C][C]2.4234116152388e-15[/C][C]2.72492155643139[/C][/ROW]
[ROW][C]Winsorized Mean ( 54 / 66 )[/C][C]6.6036065504704e-15[/C][C]2.4234116152388e-15[/C][C]2.72492155643139[/C][/ROW]
[ROW][C]Winsorized Mean ( 55 / 66 )[/C][C]6.6036065504704e-15[/C][C]2.4234116152388e-15[/C][C]2.72492155643139[/C][/ROW]
[ROW][C]Winsorized Mean ( 56 / 66 )[/C][C]6.6036065504704e-15[/C][C]2.4234116152388e-15[/C][C]2.72492155643139[/C][/ROW]
[ROW][C]Winsorized Mean ( 57 / 66 )[/C][C]5.21138687759037e-15[/C][C]2.32901384139622e-15[/C][C]2.23759377680048[/C][/ROW]
[ROW][C]Winsorized Mean ( 58 / 66 )[/C][C]3.40838468559908e-15[/C][C]2.21697081428603e-15[/C][C]1.5374062047347[/C][/ROW]
[ROW][C]Winsorized Mean ( 59 / 66 )[/C][C]3.40838468559908e-15[/C][C]2.21697081428603e-15[/C][C]1.5374062047347[/C][/ROW]
[ROW][C]Winsorized Mean ( 60 / 66 )[/C][C]3.40838468559908e-15[/C][C]2.21697081428603e-15[/C][C]1.5374062047347[/C][/ROW]
[ROW][C]Winsorized Mean ( 61 / 66 )[/C][C]4.62740956663764e-15[/C][C]2.09774859500814e-15[/C][C]2.20589329800966[/C][/ROW]
[ROW][C]Winsorized Mean ( 62 / 66 )[/C][C]4.62740956663764e-15[/C][C]2.09774859500814e-15[/C][C]2.20589329800966[/C][/ROW]
[ROW][C]Winsorized Mean ( 63 / 66 )[/C][C]4.62740956663764e-15[/C][C]2.09774859500814e-15[/C][C]2.20589329800966[/C][/ROW]
[ROW][C]Winsorized Mean ( 64 / 66 )[/C][C]4.62740956663764e-15[/C][C]2.09774859500814e-15[/C][C]2.20589329800966[/C][/ROW]
[ROW][C]Winsorized Mean ( 65 / 66 )[/C][C]4.62740956663764e-15[/C][C]2.09774859500814e-15[/C][C]2.20589329800966[/C][/ROW]
[ROW][C]Winsorized Mean ( 66 / 66 )[/C][C]1.23945298469151e-14[/C][C]1.35899156004533e-15[/C][C]9.12038765457948[/C][/ROW]
[ROW][C]Trimmed Mean ( 1 / 66 )[/C][C]-0.00304145601999842[/C][C]0.00173265109619857[/C][C]-1.75537707890028[/C][/ROW]
[ROW][C]Trimmed Mean ( 2 / 66 )[/C][C]-0.00238773026910351[/C][C]0.0012526737928191[/C][C]-1.90610698714308[/C][/ROW]
[ROW][C]Trimmed Mean ( 3 / 66 )[/C][C]-0.00225316563864187[/C][C]0.00114122304917018[/C][C]-1.97434291243962[/C][/ROW]
[ROW][C]Trimmed Mean ( 4 / 66 )[/C][C]-0.00207138707718549[/C][C]0.00102466305402595[/C][C]-2.02152997421631[/C][/ROW]
[ROW][C]Trimmed Mean ( 5 / 66 )[/C][C]-0.00183040592105837[/C][C]0.000901813722760708[/C][C]-2.02969402090598[/C][/ROW]
[ROW][C]Trimmed Mean ( 6 / 66 )[/C][C]-0.00167362258602787[/C][C]0.00083607367571985[/C][C]-2.00176447917332[/C][/ROW]
[ROW][C]Trimmed Mean ( 7 / 66 )[/C][C]-0.00153073964888577[/C][C]0.000768381450107059[/C][C]-1.99216111824731[/C][/ROW]
[ROW][C]Trimmed Mean ( 8 / 66 )[/C][C]-0.00136963032678494[/C][C]0.000696995011498425[/C][C]-1.96505040092103[/C][/ROW]
[ROW][C]Trimmed Mean ( 9 / 66 )[/C][C]-0.00119084929541238[/C][C]0.00063492428637726[/C][C]-1.87557685374914[/C][/ROW]
[ROW][C]Trimmed Mean ( 10 / 66 )[/C][C]-0.0010278388076268[/C][C]0.000572189784944343[/C][C]-1.79632498634483[/C][/ROW]
[ROW][C]Trimmed Mean ( 11 / 66 )[/C][C]-0.0009048611897554[/C][C]0.000519645912841012[/C][C]-1.7413033902419[/C][/ROW]
[ROW][C]Trimmed Mean ( 12 / 66 )[/C][C]-0.000851572417800064[/C][C]0.000488438296560316[/C][C]-1.74345956039281[/C][/ROW]
[ROW][C]Trimmed Mean ( 13 / 66 )[/C][C]-0.000807179738084415[/C][C]0.000456911269899293[/C][C]-1.76660063180828[/C][/ROW]
[ROW][C]Trimmed Mean ( 14 / 66 )[/C][C]-0.000767642574773914[/C][C]0.000423413770567631[/C][C]-1.81298443304007[/C][/ROW]
[ROW][C]Trimmed Mean ( 15 / 66 )[/C][C]-0.000766546752810536[/C][C]0.000398399490746904[/C][C]-1.92406559399322[/C][/ROW]
[ROW][C]Trimmed Mean ( 16 / 66 )[/C][C]-0.000753252768942662[/C][C]0.000379323300932466[/C][C]-1.9857803807227[/C][/ROW]
[ROW][C]Trimmed Mean ( 17 / 66 )[/C][C]-0.000739638448114116[/C][C]0.00035816213145419[/C][C]-2.06509394254238[/C][/ROW]
[ROW][C]Trimmed Mean ( 18 / 66 )[/C][C]-0.000725692070679995[/C][C]0.000334455323212102[/C][C]-2.16977282260143[/C][/ROW]
[ROW][C]Trimmed Mean ( 19 / 66 )[/C][C]-0.000707554476200767[/C][C]0.000308675284343464[/C][C]-2.29222912260597[/C][/ROW]
[ROW][C]Trimmed Mean ( 20 / 66 )[/C][C]-0.000663025397477769[/C][C]0.000286032091418742[/C][C]-2.31801052178834[/C][/ROW]
[ROW][C]Trimmed Mean ( 21 / 66 )[/C][C]-0.00060198762927101[/C][C]0.000263327990314851[/C][C]-2.28607535625528[/C][/ROW]
[ROW][C]Trimmed Mean ( 22 / 66 )[/C][C]-0.00053938479008459[/C][C]0.000236951643027109[/C][C]-2.27634965174257[/C][/ROW]
[ROW][C]Trimmed Mean ( 23 / 66 )[/C][C]-0.000499613583617179[/C][C]0.00021721946780816[/C][C]-2.30004054727921[/C][/ROW]
[ROW][C]Trimmed Mean ( 24 / 66 )[/C][C]-0.000443827288963784[/C][C]0.000197398470864779[/C][C]-2.24838260914297[/C][/ROW]
[ROW][C]Trimmed Mean ( 25 / 66 )[/C][C]-0.000373021407740529[/C][C]0.000176058508185515[/C][C]-2.11873547938661[/C][/ROW]
[ROW][C]Trimmed Mean ( 26 / 66 )[/C][C]-0.00030030185405178[/C][C]0.000150021759958007[/C][C]-2.00172197777069[/C][/ROW]
[ROW][C]Trimmed Mean ( 27 / 66 )[/C][C]-0.000227484778136101[/C][C]0.000117565730954669[/C][C]-1.93495822540171[/C][/ROW]
[ROW][C]Trimmed Mean ( 28 / 66 )[/C][C]-0.000135999628835191[/C][C]7.36680378709113e-05[/C][C]-1.84611444482211[/C][/ROW]
[ROW][C]Trimmed Mean ( 29 / 66 )[/C][C]-0.000135999628835191[/C][C]5.63729040596933e-05[/C][C]-2.41249996081772[/C][/ROW]
[ROW][C]Trimmed Mean ( 30 / 66 )[/C][C]-3.91926563592298e-05[/C][C]2.76135246829148e-05[/C][C]-1.41932827515783[/C][/ROW]
[ROW][C]Trimmed Mean ( 31 / 66 )[/C][C]-1.98803329315161e-05[/C][C]1.98803329405794e-05[/C][C]-0.999999999544107[/C][/ROW]
[ROW][C]Trimmed Mean ( 32 / 66 )[/C][C]8.77729261821302e-15[/C][C]2.79742427492746e-15[/C][C]3.13763367855261[/C][/ROW]
[ROW][C]Trimmed Mean ( 33 / 66 )[/C][C]8.91492518281098e-15[/C][C]2.79091120879341e-15[/C][C]3.19427044282972[/C][/ROW]
[ROW][C]Trimmed Mean ( 34 / 66 )[/C][C]9.06009274338046e-15[/C][C]2.78363447838818e-15[/C][C]3.25477098869193[/C][/ROW]
[ROW][C]Trimmed Mean ( 35 / 66 )[/C][C]9.20972699812132e-15[/C][C]2.775152863125e-15[/C][C]3.31863773001339[/C][/ROW]
[ROW][C]Trimmed Mean ( 36 / 66 )[/C][C]9.36403732332282e-15[/C][C]2.7653502116035e-15[/C][C]3.38620305089425[/C][/ROW]
[ROW][C]Trimmed Mean ( 37 / 66 )[/C][C]9.5796386696228e-15[/C][C]2.75972818340175e-15[/C][C]3.47122543706988[/C][/ROW]
[ROW][C]Trimmed Mean ( 38 / 66 )[/C][C]9.80219489806148e-15[/C][C]2.75285400064803e-15[/C][C]3.56073910776017[/C][/ROW]
[ROW][C]Trimmed Mean ( 39 / 66 )[/C][C]1.00320480520227e-14[/C][C]2.74459617273287e-15[/C][C]3.65520004425043[/C][/ROW]
[ROW][C]Trimmed Mean ( 40 / 66 )[/C][C]1.02695629777827e-14[/C][C]2.73480679655973e-15[/C][C]3.75513290032092[/C][/ROW]
[ROW][C]Trimmed Mean ( 41 / 66 )[/C][C]1.05151292569583e-14[/C][C]2.72331896455121e-15[/C][C]3.86114494623333[/C][/ROW]
[ROW][C]Trimmed Mean ( 42 / 66 )[/C][C]1.0769163338864e-14[/C][C]2.70994365212025e-15[/C][C]3.97394363917429[/C][/ROW]
[ROW][C]Trimmed Mean ( 43 / 66 )[/C][C]1.10321108973279e-14[/C][C]2.694465952704e-15[/C][C]4.09435899023209[/C][/ROW]
[ROW][C]Trimmed Mean ( 44 / 66 )[/C][C]1.13044494400226e-14[/C][C]2.67664048682886e-15[/C][C]4.2233723563733[/C][/ROW]
[ROW][C]Trimmed Mean ( 45 / 66 )[/C][C]1.15866912024516e-14[/C][C]2.65618575392736e-15[/C][C]4.36215395904442[/C][/ROW]
[ROW][C]Trimmed Mean ( 46 / 66 )[/C][C]1.18793863634892e-14[/C][C]2.63277711421166e-15[/C][C]4.51211243798975[/C][/ROW]
[ROW][C]Trimmed Mean ( 47 / 66 )[/C][C]1.21537999790097e-14[/C][C]2.6124032311757e-15[/C][C]4.65234456686075[/C][/ROW]
[ROW][C]Trimmed Mean ( 48 / 66 )[/C][C]1.2438767964358e-14[/C][C]2.58896149279617e-15[/C][C]4.80453958043373[/C][/ROW]
[ROW][C]Trimmed Mean ( 49 / 66 )[/C][C]1.2734911164818e-14[/C][C]2.56204682632405e-15[/C][C]4.97060047223635[/C][/ROW]
[ROW][C]Trimmed Mean ( 50 / 66 )[/C][C]1.29851684960158e-14[/C][C]2.54402254861776e-15[/C][C]5.10418765866325[/C][/ROW]
[ROW][C]Trimmed Mean ( 51 / 66 )[/C][C]1.32456404121605e-14[/C][C]2.52299282809797e-15[/C][C]5.24997148808629[/C][/ROW]
[ROW][C]Trimmed Mean ( 52 / 66 )[/C][C]1.35169653248113e-14[/C][C]2.4985433321128e-15[/C][C]5.40993832329541[/C][/ROW]
[ROW][C]Trimmed Mean ( 53 / 66 )[/C][C]1.37998359784259e-14[/C][C]2.47018552209674e-15[/C][C]5.58655852160946[/C][/ROW]
[ROW][C]Trimmed Mean ( 54 / 66 )[/C][C]1.40950053561107e-14[/C][C]2.43733863845493e-15[/C][C]5.78294912890961[/C][/ROW]
[ROW][C]Trimmed Mean ( 55 / 66 )[/C][C]1.44032933728037e-14[/C][C]2.39930576163648e-15[/C][C]6.00310873382796[/C][/ROW]
[ROW][C]Trimmed Mean ( 56 / 66 )[/C][C]1.47255944811646e-14[/C][C]2.35524135007763e-15[/C][C]6.25226560355659[/C][/ROW]
[ROW][C]Trimmed Mean ( 57 / 66 )[/C][C]1.47255944811646e-14[/C][C]2.30410616278985e-15[/C][C]6.39102256613669[/C][/ROW]
[ROW][C]Trimmed Mean ( 58 / 66 )[/C][C]1.50628863387515e-14[/C][C]2.25162290701284e-15[/C][C]6.68979085789058[/C][/ROW]
[ROW][C]Trimmed Mean ( 59 / 66 )[/C][C]1.59817958325309e-14[/C][C]2.19702143153379e-15[/C][C]7.27430128952984[/C][/ROW]
[ROW][C]Trimmed Mean ( 60 / 66 )[/C][C]1.65145674912992e-14[/C][C]2.13209212213321e-15[/C][C]7.74571010317132[/C][/ROW]
[ROW][C]Trimmed Mean ( 61 / 66 )[/C][C]1.70746607735941e-14[/C][C]2.05449765372469e-15[/C][C]8.31086895749852[/C][/ROW]
[ROW][C]Trimmed Mean ( 62 / 66 )[/C][C]1.76116431380012e-14[/C][C]1.98085609390332e-15[/C][C]8.89092508648472[/C][/ROW]
[ROW][C]Trimmed Mean ( 63 / 66 )[/C][C]1.817765157616e-14[/C][C]1.89183283759129e-15[/C][C]9.608487185001[/C][/ROW]
[ROW][C]Trimmed Mean ( 64 / 66 )[/C][C]1.87751049275499e-14[/C][C]1.78303823743001e-15[/C][C]10.5298386391373[/C][/ROW]
[ROW][C]Trimmed Mean ( 65 / 66 )[/C][C]1.94066984704477e-14[/C][C]1.6478943142932e-15[/C][C]11.7766644997325[/C][/ROW]
[ROW][C]Trimmed Mean ( 66 / 66 )[/C][C]2.00754445746925e-14[/C][C]1.47565368924975e-15[/C][C]13.6044416931586[/C][/ROW]
[ROW][C]Median[/C][C]2.5313084961454e-14[/C][C][/C][C][/C][/ROW]
[ROW][C]Midrange[/C][C]-0.08214949691887[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - Weighted Average at Xnp[/C][C]1.58636389049049e-14[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - Weighted Average at X(n+1)p[/C][C]1.58636389049049e-14[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - Empirical Distribution Function[/C][C]1.58636389049049e-14[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - Empirical Distribution Function - Averaging[/C][C]1.58636389049049e-14[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - Empirical Distribution Function - Interpolation[/C][C]1.58636389049049e-14[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - Closest Observation[/C][C]1.58636389049049e-14[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - True Basic - Statistics Graphics Toolkit[/C][C]1.58636389049049e-14[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - MS Excel (old versions)[/C][C]1.58636389049049e-14[/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=99300&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=99300&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-0.003832536428987140.00217441206561657-1.76256216086641
Geometric MeanNaN
Harmonic Mean-3.32847602006107e-13
Quadratic Mean0.0309123573004097
Winsorized Mean ( 1 / 66 )-0.003682107255875440.00209124700133668-1.76072326871092
Winsorized Mean ( 2 / 66 )-0.002648785652199080.00143865061302598-1.84115978418677
Winsorized Mean ( 3 / 66 )-0.002776687895636270.00141308426743727-1.96498394301141
Winsorized Mean ( 4 / 66 )-0.002987115470468510.00137718584913445-2.16899953796786
Winsorized Mean ( 5 / 66 )-0.002567287595701760.00114546761136232-2.24125725619466
Winsorized Mean ( 6 / 66 )-0.002470909375280780.00112058238529435-2.20502250232295
Winsorized Mean ( 7 / 66 )-0.002568283683215140.00109560408479663-2.3441713287258
Winsorized Mean ( 8 / 66 )-0.002671156235177140.00100996346047838-2.64480482681218
Winsorized Mean ( 9 / 66 )-0.002511234246475620.000970250828854633-2.58823200330588
Winsorized Mean ( 10 / 66 )-0.002122339606682220.000878194340219346-2.4167083633813
Winsorized Mean ( 11 / 66 )-0.001420696502283060.000729916922397728-1.94638109994239
Winsorized Mean ( 12 / 66 )-0.001315031994031440.00071003510080651-1.85206617607739
Winsorized Mean ( 13 / 66 )-0.001249205223895820.000697979562826844-1.78974470088564
Winsorized Mean ( 14 / 66 )-0.0007806828561381060.000619067726435584-1.26106211453318
Winsorized Mean ( 15 / 66 )-0.0009340509495457560.000558225126137274-1.67325135650749
Winsorized Mean ( 16 / 66 )-0.0009340509495457560.000558225126137274-1.67325135650749
Winsorized Mean ( 17 / 66 )-0.0009340509495457560.000558225126137274-1.67325135650749
Winsorized Mean ( 18 / 66 )-0.0009901381981871460.00055064950295699-1.79812783425773
Winsorized Mean ( 19 / 66 )-0.001384396472790330.000502722375356291-2.75379919544894
Winsorized Mean ( 20 / 66 )-0.001627422135144560.000478401531316053-3.40179123312509
Winsorized Mean ( 21 / 66 )-0.001627422135144560.000478401531316053-3.40179123312509
Winsorized Mean ( 22 / 66 )-0.001213109027642540.000409384287512796-2.9632525347095
Winsorized Mean ( 23 / 66 )-0.001474758014158520.000385380270828437-3.82676054222572
Winsorized Mean ( 24 / 66 )-0.001718333150982370.000367979803822951-4.66963983656322
Winsorized Mean ( 25 / 66 )-0.001718333150982370.000367979803822951-4.66963983656322
Winsorized Mean ( 26 / 66 )-0.001682369954931380.000361832094828746-4.64958741630602
Winsorized Mean ( 27 / 66 )-0.002005956080545780.000336644125077705-5.95868435275014
Winsorized Mean ( 28 / 66 )-0.001084707959099550.000178644418770049-6.07188271857396
Winsorized Mean ( 29 / 66 )-0.001084707959099680.000178644418770045-6.07188271857482
Winsorized Mean ( 30 / 66 )-0.0004389577513129027.12977518418489e-05-6.15668432696992
Winsorized Mean ( 31 / 66 )-0.0004389577513129027.12977518418489e-05-6.15668432696992
Winsorized Mean ( 32 / 66 )5.82645043323286e-152.73327565587133e-152.13167318880446
Winsorized Mean ( 33 / 66 )5.75317571360761e-152.7276185151659e-152.10923033467445
Winsorized Mean ( 34 / 66 )5.75317571360761e-152.7276185151659e-152.10923033467445
Winsorized Mean ( 35 / 66 )5.75317571360761e-152.7276185151659e-152.10923033467445
Winsorized Mean ( 36 / 66 )4.47419878923943e-152.63448450749747e-151.69832040253276
Winsorized Mean ( 37 / 66 )4.47419878923943e-152.63448450749747e-151.69832040253276
Winsorized Mean ( 38 / 66 )4.47419878923943e-152.63448450749747e-151.69832040253276
Winsorized Mean ( 39 / 66 )4.47419878923943e-152.63448450749747e-151.69832040253276
Winsorized Mean ( 40 / 66 )4.47419878923943e-152.63448450749747e-151.69832040253276
Winsorized Mean ( 41 / 66 )4.47419878923943e-152.63448450749747e-151.69832040253276
Winsorized Mean ( 42 / 66 )4.47419878923943e-152.63448450749747e-151.69832040253276
Winsorized Mean ( 43 / 66 )4.47419878923943e-152.63448450749747e-151.69832040253276
Winsorized Mean ( 44 / 66 )4.47419878923943e-152.63448450749747e-151.69832040253276
Winsorized Mean ( 45 / 66 )4.47419878923943e-152.63448450749747e-151.69832040253276
Winsorized Mean ( 46 / 66 )5.18918241709816e-152.56240802116522e-152.02511948691858
Winsorized Mean ( 47 / 66 )5.18918241709816e-152.56240802116522e-152.02511948691858
Winsorized Mean ( 48 / 66 )5.18918241709816e-152.56240802116522e-152.02511948691858
Winsorized Mean ( 49 / 66 )6.60360655047041e-152.4234116152388e-152.72492155643139
Winsorized Mean ( 50 / 66 )6.60360655047041e-152.4234116152388e-152.72492155643139
Winsorized Mean ( 51 / 66 )6.6036065504704e-152.4234116152388e-152.72492155643139
Winsorized Mean ( 52 / 66 )6.6036065504704e-152.4234116152388e-152.72492155643139
Winsorized Mean ( 53 / 66 )6.6036065504704e-152.4234116152388e-152.72492155643139
Winsorized Mean ( 54 / 66 )6.6036065504704e-152.4234116152388e-152.72492155643139
Winsorized Mean ( 55 / 66 )6.6036065504704e-152.4234116152388e-152.72492155643139
Winsorized Mean ( 56 / 66 )6.6036065504704e-152.4234116152388e-152.72492155643139
Winsorized Mean ( 57 / 66 )5.21138687759037e-152.32901384139622e-152.23759377680048
Winsorized Mean ( 58 / 66 )3.40838468559908e-152.21697081428603e-151.5374062047347
Winsorized Mean ( 59 / 66 )3.40838468559908e-152.21697081428603e-151.5374062047347
Winsorized Mean ( 60 / 66 )3.40838468559908e-152.21697081428603e-151.5374062047347
Winsorized Mean ( 61 / 66 )4.62740956663764e-152.09774859500814e-152.20589329800966
Winsorized Mean ( 62 / 66 )4.62740956663764e-152.09774859500814e-152.20589329800966
Winsorized Mean ( 63 / 66 )4.62740956663764e-152.09774859500814e-152.20589329800966
Winsorized Mean ( 64 / 66 )4.62740956663764e-152.09774859500814e-152.20589329800966
Winsorized Mean ( 65 / 66 )4.62740956663764e-152.09774859500814e-152.20589329800966
Winsorized Mean ( 66 / 66 )1.23945298469151e-141.35899156004533e-159.12038765457948
Trimmed Mean ( 1 / 66 )-0.003041456019998420.00173265109619857-1.75537707890028
Trimmed Mean ( 2 / 66 )-0.002387730269103510.0012526737928191-1.90610698714308
Trimmed Mean ( 3 / 66 )-0.002253165638641870.00114122304917018-1.97434291243962
Trimmed Mean ( 4 / 66 )-0.002071387077185490.00102466305402595-2.02152997421631
Trimmed Mean ( 5 / 66 )-0.001830405921058370.000901813722760708-2.02969402090598
Trimmed Mean ( 6 / 66 )-0.001673622586027870.00083607367571985-2.00176447917332
Trimmed Mean ( 7 / 66 )-0.001530739648885770.000768381450107059-1.99216111824731
Trimmed Mean ( 8 / 66 )-0.001369630326784940.000696995011498425-1.96505040092103
Trimmed Mean ( 9 / 66 )-0.001190849295412380.00063492428637726-1.87557685374914
Trimmed Mean ( 10 / 66 )-0.00102783880762680.000572189784944343-1.79632498634483
Trimmed Mean ( 11 / 66 )-0.00090486118975540.000519645912841012-1.7413033902419
Trimmed Mean ( 12 / 66 )-0.0008515724178000640.000488438296560316-1.74345956039281
Trimmed Mean ( 13 / 66 )-0.0008071797380844150.000456911269899293-1.76660063180828
Trimmed Mean ( 14 / 66 )-0.0007676425747739140.000423413770567631-1.81298443304007
Trimmed Mean ( 15 / 66 )-0.0007665467528105360.000398399490746904-1.92406559399322
Trimmed Mean ( 16 / 66 )-0.0007532527689426620.000379323300932466-1.9857803807227
Trimmed Mean ( 17 / 66 )-0.0007396384481141160.00035816213145419-2.06509394254238
Trimmed Mean ( 18 / 66 )-0.0007256920706799950.000334455323212102-2.16977282260143
Trimmed Mean ( 19 / 66 )-0.0007075544762007670.000308675284343464-2.29222912260597
Trimmed Mean ( 20 / 66 )-0.0006630253974777690.000286032091418742-2.31801052178834
Trimmed Mean ( 21 / 66 )-0.000601987629271010.000263327990314851-2.28607535625528
Trimmed Mean ( 22 / 66 )-0.000539384790084590.000236951643027109-2.27634965174257
Trimmed Mean ( 23 / 66 )-0.0004996135836171790.00021721946780816-2.30004054727921
Trimmed Mean ( 24 / 66 )-0.0004438272889637840.000197398470864779-2.24838260914297
Trimmed Mean ( 25 / 66 )-0.0003730214077405290.000176058508185515-2.11873547938661
Trimmed Mean ( 26 / 66 )-0.000300301854051780.000150021759958007-2.00172197777069
Trimmed Mean ( 27 / 66 )-0.0002274847781361010.000117565730954669-1.93495822540171
Trimmed Mean ( 28 / 66 )-0.0001359996288351917.36680378709113e-05-1.84611444482211
Trimmed Mean ( 29 / 66 )-0.0001359996288351915.63729040596933e-05-2.41249996081772
Trimmed Mean ( 30 / 66 )-3.91926563592298e-052.76135246829148e-05-1.41932827515783
Trimmed Mean ( 31 / 66 )-1.98803329315161e-051.98803329405794e-05-0.999999999544107
Trimmed Mean ( 32 / 66 )8.77729261821302e-152.79742427492746e-153.13763367855261
Trimmed Mean ( 33 / 66 )8.91492518281098e-152.79091120879341e-153.19427044282972
Trimmed Mean ( 34 / 66 )9.06009274338046e-152.78363447838818e-153.25477098869193
Trimmed Mean ( 35 / 66 )9.20972699812132e-152.775152863125e-153.31863773001339
Trimmed Mean ( 36 / 66 )9.36403732332282e-152.7653502116035e-153.38620305089425
Trimmed Mean ( 37 / 66 )9.5796386696228e-152.75972818340175e-153.47122543706988
Trimmed Mean ( 38 / 66 )9.80219489806148e-152.75285400064803e-153.56073910776017
Trimmed Mean ( 39 / 66 )1.00320480520227e-142.74459617273287e-153.65520004425043
Trimmed Mean ( 40 / 66 )1.02695629777827e-142.73480679655973e-153.75513290032092
Trimmed Mean ( 41 / 66 )1.05151292569583e-142.72331896455121e-153.86114494623333
Trimmed Mean ( 42 / 66 )1.0769163338864e-142.70994365212025e-153.97394363917429
Trimmed Mean ( 43 / 66 )1.10321108973279e-142.694465952704e-154.09435899023209
Trimmed Mean ( 44 / 66 )1.13044494400226e-142.67664048682886e-154.2233723563733
Trimmed Mean ( 45 / 66 )1.15866912024516e-142.65618575392736e-154.36215395904442
Trimmed Mean ( 46 / 66 )1.18793863634892e-142.63277711421166e-154.51211243798975
Trimmed Mean ( 47 / 66 )1.21537999790097e-142.6124032311757e-154.65234456686075
Trimmed Mean ( 48 / 66 )1.2438767964358e-142.58896149279617e-154.80453958043373
Trimmed Mean ( 49 / 66 )1.2734911164818e-142.56204682632405e-154.97060047223635
Trimmed Mean ( 50 / 66 )1.29851684960158e-142.54402254861776e-155.10418765866325
Trimmed Mean ( 51 / 66 )1.32456404121605e-142.52299282809797e-155.24997148808629
Trimmed Mean ( 52 / 66 )1.35169653248113e-142.4985433321128e-155.40993832329541
Trimmed Mean ( 53 / 66 )1.37998359784259e-142.47018552209674e-155.58655852160946
Trimmed Mean ( 54 / 66 )1.40950053561107e-142.43733863845493e-155.78294912890961
Trimmed Mean ( 55 / 66 )1.44032933728037e-142.39930576163648e-156.00310873382796
Trimmed Mean ( 56 / 66 )1.47255944811646e-142.35524135007763e-156.25226560355659
Trimmed Mean ( 57 / 66 )1.47255944811646e-142.30410616278985e-156.39102256613669
Trimmed Mean ( 58 / 66 )1.50628863387515e-142.25162290701284e-156.68979085789058
Trimmed Mean ( 59 / 66 )1.59817958325309e-142.19702143153379e-157.27430128952984
Trimmed Mean ( 60 / 66 )1.65145674912992e-142.13209212213321e-157.74571010317132
Trimmed Mean ( 61 / 66 )1.70746607735941e-142.05449765372469e-158.31086895749852
Trimmed Mean ( 62 / 66 )1.76116431380012e-141.98085609390332e-158.89092508648472
Trimmed Mean ( 63 / 66 )1.817765157616e-141.89183283759129e-159.608487185001
Trimmed Mean ( 64 / 66 )1.87751049275499e-141.78303823743001e-1510.5298386391373
Trimmed Mean ( 65 / 66 )1.94066984704477e-141.6478943142932e-1511.7766644997325
Trimmed Mean ( 66 / 66 )2.00754445746925e-141.47565368924975e-1513.6044416931586
Median2.5313084961454e-14
Midrange-0.08214949691887
Midmean - Weighted Average at Xnp1.58636389049049e-14
Midmean - Weighted Average at X(n+1)p1.58636389049049e-14
Midmean - Empirical Distribution Function1.58636389049049e-14
Midmean - Empirical Distribution Function - Averaging1.58636389049049e-14
Midmean - Empirical Distribution Function - Interpolation1.58636389049049e-14
Midmean - Closest Observation1.58636389049049e-14
Midmean - True Basic - Statistics Graphics Toolkit1.58636389049049e-14
Midmean - MS Excel (old versions)1.58636389049049e-14
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')