Free Statistics

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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 14:52:55 +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/t12905239289dikr6whi798hf6.htm/, Retrieved Thu, 28 Mar 2024 10:52:40 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=99195, Retrieved Thu, 28 Mar 2024 10:52:40 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsbeursspel test
Estimated Impact99
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Central Tendency] [TEC central tendency] [2010-11-23 14:52:55] [f76239c595e4d455b3b05a43389f68d5] [Current]
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Dataseries X:
0.0077760889499117
3.5527136788005E-15
-0.0077760889498966
1.1546319456102E-14
-0.024497471600388
0.0322735605503
-0.0077760889498966
1.1546319456102E-14
0.0077760889499117
3.5527136788005E-15
3.5527136788005E-15
3.5527136788005E-15
3.5527136788005E-15
-0.0077760889498966
1.1546319456102E-14
1.1546319456102E-14
1.1546319456102E-14
0.0077760889499117
3.5527136788005E-15
0.0023210842142034
0
-0.0077579908108998
3.9523939676656E-14
3.9523939676656E-14
0.0077579908109393
0
0
0
0
-0.0077579908108998
3.9523939676656E-14
3.9523939676656E-14
3.9523939676656E-14
3.9523939676656E-14
3.9523939676656E-14
3.9523939676656E-14
-0.00038948393876082
-4.9293902293357E-14
-4.9293902293357E-14
-4.9293902293357E-14
-4.9293902293357E-14
-0.007036776495049
-2.3980817331903E-14
0.0070367764949757
-4.9293902293357E-14
-4.9293902293357E-14
-0.007036776495049
0.0070367764949757
-4.9293902293357E-14
-4.9293902293357E-14
-4.9293902293357E-14
-0.007036776495049
-2.3980817331903E-14
-2.3980817331903E-14
-2.3980817331903E-14
-2.3980817331903E-14
-2.3980817331903E-14
0.0070367764949757
-0.007036776495049
-2.3980817331903E-14
-2.3980817331903E-14
0.0070367764949757
-0.007036776495049
-2.3980817331903E-14
-2.3980817331903E-14
-2.3980817331903E-14
0.0070367764949757
-4.9293902293357E-14
-4.9293902293357E-14
-0.007036776495049
-2.3980817331903E-14
0.0070367764949757
-4.9293902293357E-14
-4.9293902293357E-14
-4.9293902293357E-14
-4.9293902293357E-14
-4.9293902293357E-14
-4.9293902293357E-14
-0.011361532596849
0.0070671672230582
-0.0070671672231342
0.0070671672230582
-0.0070671672231342
-4.1744385725906E-14
-4.1744385725906E-14
0.00039393343035821
1.2878587085652E-14
-0.0071146545167871
-2.8421709430404E-14
-2.8421709430404E-14
-2.8421709430404E-14
-2.8421709430404E-14
-2.8421709430404E-14
0.0071146545167715
1.2878587085652E-14
1.2878587085652E-14
-0.0071146545167871
-2.8421709430404E-14
-2.8421709430404E-14
-2.8421709430404E-14
0.0071146545167715
1.2878587085652E-14
1.2878587085652E-14
1.2878587085652E-14
1.2878587085652E-14
1.2878587085652E-14
-0.0071146545167871
0.0071146545167715
1.2878587085652E-14
-0.0071146545167871
0.0071146545167715
-0.0071146545167871
0.0071146545167715
1.2878587085652E-14
1.2878587085652E-14
1.2878587085652E-14
1.2878587085652E-14
1.2878587085652E-14
1.2878587085652E-14
1.2878587085652E-14
-0.0071146545167871
-2.8421709430404E-14
0.0071146545167715
1.2878587085652E-14
1.2878587085652E-14
-0.0071146545167871
-2.8421709430404E-14
-2.8421709430404E-14
-2.8421709430404E-14
0.0071146545167715
1.2878587085652E-14
1.2878587085652E-14
1.2878587085652E-14
-0.0071146545167871
-2.8421709430404E-14
-2.8421709430404E-14
-2.8421709430404E-14
-2.8421709430404E-14
-2.8421709430404E-14
-2.8421709430404E-14
-2.8421709430404E-14
-2.8421709430404E-14
-2.8421709430404E-14
-2.8421709430404E-14
0.0071146545167715
1.2878587085652E-14
1.2878587085652E-14
-0.0071146545167871
-2.8421709430404E-14
-2.8421709430404E-14
-2.8421709430404E-14
-2.8421709430404E-14
0.0071146545167715
1.2878587085652E-14
-0.0071146545167871
-2.8421709430404E-14
-2.8421709430404E-14
-2.8421709430404E-14
-2.8421709430404E-14
-2.8421709430404E-14
-2.8421709430404E-14
0.0071146545167715
1.2878587085652E-14
1.2878587085652E-14
1.2878587085652E-14
1.2878587085652E-14
-0.0071146545167871
0.0071146545167715
-0.0071146545167871
-2.8421709430404E-14
-2.8421709430404E-14
0.0071146545167715
-0.0071146545167871
-2.8421709430404E-14
-2.8421709430404E-14
0.015351610285672
-1.1631508098057
1.1241175790765
-7.5495165674511E-15
-7.5495165674511E-15
-7.5495165674511E-15
-7.5495165674511E-15
-7.5495165674511E-15
0.015316704111893
-4.4408920985006E-16
-4.4408920985006E-16
-0.015316704111901
0.015316704111893
-4.4408920985006E-16
-4.4408920985006E-16
-0.015316704111901
-7.5495165674511E-15
-7.5495165674511E-15
-7.5495165674511E-15
0.015316704111893
-4.4408920985006E-16
-0.015316704111901
0.015316704111893
-0.015316704111901
-7.5495165674511E-15




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=99195&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=99195&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=99195&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-0.0001990708785731210.00811822810863816-0.0245214689596244
Geometric MeanNaN
Harmonic Mean0
Quadratic Mean0.114521873571678
Winsorized Mean ( 1 / 66 )3.49757198224397e-050.0004520537027903380.077370718581773
Winsorized Mean ( 2 / 66 )-4.24361079389703e-050.000381423051816164-0.111257323690607
Winsorized Mean ( 3 / 66 )-4.29597005456553e-050.000381316965000244-0.112661393247027
Winsorized Mean ( 4 / 66 )-4.29597005456553e-050.000381316965000244-0.112661393247027
Winsorized Mean ( 5 / 66 )-4.29597005456553e-050.000381316965000244-0.112661393247027
Winsorized Mean ( 6 / 66 )7.56954449059047e-050.0003598277687532750.210365767956634
Winsorized Mean ( 7 / 66 )-6.27355581201068e-050.00029460174243167-0.212950397381501
Winsorized Mean ( 8 / 66 )-6.27355581201068e-050.00029460174243167-0.212950397381501
Winsorized Mean ( 9 / 66 )-6.27355581201068e-050.00029460174243167-0.212950397381501
Winsorized Mean ( 10 / 66 )-6.27355581188868e-050.000294361871341725-0.213123927473803
Winsorized Mean ( 11 / 66 )-9.81190542981158e-050.000289785881454386-0.338591562175745
Winsorized Mean ( 12 / 66 )-5.95188766513537e-050.000284818496920136-0.208971247636501
Winsorized Mean ( 13 / 66 )-5.95188766513537e-050.000284818496920136-0.208971247636501
Winsorized Mean ( 14 / 66 )-5.95188766513538e-050.000284818496920136-0.208971247636501
Winsorized Mean ( 15 / 66 )-5.95188766513538e-050.000284818496920136-0.208971247636501
Winsorized Mean ( 16 / 66 )-5.95188766513538e-050.000284818496920136-0.208971247636501
Winsorized Mean ( 17 / 66 )-5.95188766513537e-050.000284818496920136-0.208971247636501
Winsorized Mean ( 18 / 66 )-5.95188766513538e-050.000284818496920136-0.208971247636501
Winsorized Mean ( 19 / 66 )-5.95188766513537e-050.000284818496920136-0.208971247636501
Winsorized Mean ( 20 / 66 )-5.95188766513538e-050.000284818496920136-0.208971247636501
Winsorized Mean ( 21 / 66 )-5.95188766513537e-050.000284818496920136-0.208971247636501
Winsorized Mean ( 22 / 66 )-5.95188766513538e-050.000284818496920136-0.208971247636501
Winsorized Mean ( 23 / 66 )-6.49799154283834e-050.000284128450410484-0.228699080766133
Winsorized Mean ( 24 / 66 )-6.49799154283834e-050.000284128450410484-0.228699080766133
Winsorized Mean ( 25 / 66 )-6.28428447320835e-050.000282910028624659-0.222130141648171
Winsorized Mean ( 26 / 66 )-6.28428447320833e-050.000282910028624659-0.22213014164817
Winsorized Mean ( 27 / 66 )-5.87400964405813e-050.000282400092781488-0.208003106026004
Winsorized Mean ( 28 / 66 )-5.87400964405814e-050.000282400092781488-0.208003106026005
Winsorized Mean ( 29 / 66 )-5.87400964405814e-050.000282400092781488-0.208003106026005
Winsorized Mean ( 30 / 66 )-5.87400964405813e-050.000282400092781488-0.208003106026004
Winsorized Mean ( 31 / 66 )-0.0007896723999602880.000205576990232402-3.84124896014663
Winsorized Mean ( 32 / 66 )-0.001098016525375520.00018743039380492-5.85826291609005
Winsorized Mean ( 33 / 66 )-6.62122695905518e-051.03711405995079e-05-6.38428039377788
Winsorized Mean ( 34 / 66 )-9.59232693276122e-152.32387970583695e-15-4.12772094384573
Winsorized Mean ( 35 / 66 )-9.59232693276122e-152.32387970583695e-15-4.12772094384573
Winsorized Mean ( 36 / 66 )-9.59232693276122e-152.32387970583695e-15-4.12772094384573
Winsorized Mean ( 37 / 66 )-9.59232693276122e-152.32387970583695e-15-4.12772094384573
Winsorized Mean ( 38 / 66 )-9.59232693276122e-152.32387970583695e-15-4.12772094384573
Winsorized Mean ( 39 / 66 )-9.59232693276122e-152.32387970583695e-15-4.12772094384573
Winsorized Mean ( 40 / 66 )-9.59232693276122e-152.32387970583695e-15-4.12772094384573
Winsorized Mean ( 41 / 66 )-1.5054624213917e-141.81259663662844e-15-8.30555674091932
Winsorized Mean ( 42 / 66 )-1.5054624213917e-141.81259663662844e-15-8.30555674091932
Winsorized Mean ( 43 / 66 )-1.5054624213917e-141.81259663662844e-15-8.30555674091932
Winsorized Mean ( 44 / 66 )-1.5054624213917e-141.81259663662844e-15-8.30555674091932
Winsorized Mean ( 45 / 66 )-1.5054624213917e-141.81259663662844e-15-8.30555674091932
Winsorized Mean ( 46 / 66 )-1.5054624213917e-141.81259663662844e-15-8.30555674091932
Winsorized Mean ( 47 / 66 )-1.5054624213917e-141.81259663662844e-15-8.30555674091932
Winsorized Mean ( 48 / 66 )-1.5054624213917e-141.81259663662844e-15-8.30555674091932
Winsorized Mean ( 49 / 66 )-1.5054624213917e-141.81259663662844e-15-8.30555674091932
Winsorized Mean ( 50 / 66 )-1.5054624213917e-141.81259663662844e-15-8.30555674091932
Winsorized Mean ( 51 / 66 )-1.3129497489217e-141.6362931073857e-15-8.0239276386087
Winsorized Mean ( 52 / 66 )-1.3129497489217e-141.6362931073857e-15-8.0239276386087
Winsorized Mean ( 53 / 66 )-9.598988270909e-151.35493635789385e-15-7.084456930383
Winsorized Mean ( 54 / 66 )-9.598988270909e-151.35493635789385e-15-7.084456930383
Winsorized Mean ( 55 / 66 )-9.598988270909e-151.35493635789385e-15-7.084456930383
Winsorized Mean ( 56 / 66 )-9.598988270909e-151.35493635789385e-15-7.084456930383
Winsorized Mean ( 57 / 66 )-9.598988270909e-151.35493635789385e-15-7.084456930383
Winsorized Mean ( 58 / 66 )-9.598988270909e-151.35493635789385e-15-7.084456930383
Winsorized Mean ( 59 / 66 )-9.598988270909e-151.35493635789385e-15-7.084456930383
Winsorized Mean ( 60 / 66 )-9.598988270909e-151.35493635789385e-15-7.084456930383
Winsorized Mean ( 61 / 66 )-9.598988270909e-151.35493635789385e-15-7.084456930383
Winsorized Mean ( 62 / 66 )-9.598988270909e-151.35493635789385e-15-7.084456930383
Winsorized Mean ( 63 / 66 )-9.598988270909e-151.35493635789385e-15-7.084456930383
Winsorized Mean ( 64 / 66 )-9.598988270909e-151.35493635789385e-15-7.084456930383
Winsorized Mean ( 65 / 66 )-9.598988270909e-151.35493635789385e-15-7.084456930383
Winsorized Mean ( 66 / 66 )-9.598988270909e-151.35493635789385e-15-7.084456930383
Trimmed Mean ( 1 / 66 )-3.94416659305081e-060.000407958195240613-0.00966806559854632
Trimmed Mean ( 2 / 66 )-4.36583364047758e-050.000356214357943642-0.122561978289722
Trimmed Mean ( 3 / 66 )-4.42883510778715e-050.000342001504605545-0.129497532851361
Trimmed Mean ( 4 / 66 )-4.47496880682243e-050.000326536750042918-0.137043343704323
Trimmed Mean ( 5 / 66 )-4.52207374162688e-050.000309552317804111-0.146084312135195
Trimmed Mean ( 6 / 66 )-4.57018090908674e-050.000290742745317395-0.15718985194618
Trimmed Mean ( 7 / 66 )-6.74575893770272e-050.000275284553294547-0.245046765500313
Trimmed Mean ( 8 / 66 )-6.81908240442509e-050.00027175481235411-0.250927751577017
Trimmed Mean ( 9 / 66 )-6.89401737591059e-050.000267984668567832-0.257254171022309
Trimmed Mean ( 10 / 66 )-6.97061756898465e-050.000263953303396574-0.264085255963314
Trimmed Mean ( 11 / 66 )-7.04893911472577e-050.00025967155899306-0.271455955440778
Trimmed Mean ( 12 / 66 )-6.76350871027476e-050.000255695048767351-0.264514653016558
Trimmed Mean ( 13 / 66 )-6.84125018969423e-050.000252056641332412-0.271417176454081
Trimmed Mean ( 14 / 66 )-6.92079961049556e-050.000248154533958812-0.278890717815547
Trimmed Mean ( 15 / 66 )-7.00222078237457e-050.000243963989127958-0.287018621371285
Trimmed Mean ( 16 / 66 )-7.08558055358403e-050.000239456742416069-0.295902319646212
Trimmed Mean ( 17 / 66 )-7.17094899397926e-050.000234600257029543-0.305666715150965
Trimmed Mean ( 18 / 66 )-7.2583995914573e-050.000229356757511184-0.316467658080812
Trimmed Mean ( 19 / 66 )-7.34800946294714e-050.000223681955405694-0.328502558448222
Trimmed Mean ( 20 / 66 )-7.43985958122423e-050.000217523335309068-0.342025813950182
Trimmed Mean ( 21 / 66 )-7.53403501895137e-050.000210817796908727-0.357371869425863
Trimmed Mean ( 22 / 66 )-7.63062521149203e-050.000203488324618662-0.374990812165359
Trimmed Mean ( 23 / 66 )-7.72972424020258e-050.000195439136007182-0.395505444719042
Trimmed Mean ( 24 / 66 )-7.80018949748886e-050.000186627842395615-0.417954223622966
Trimmed Mean ( 25 / 66 )-7.87253382830278e-050.000176828769637203-0.445206616799672
Trimmed Mean ( 26 / 66 )-7.95838514479437e-050.000165982266289279-0.479472013650195
Trimmed Mean ( 27 / 66 )-8.04658855214875e-050.000153668912793231-0.523631514395878
Trimmed Mean ( 28 / 66 )-8.15834672643324e-050.000139524398997059-0.584725451969529
Trimmed Mean ( 29 / 66 )-8.15834672643324e-050.000122777863155367-0.664480266781432
Trimmed Mean ( 30 / 66 )-8.39144234708377e-050.000102078446224822-0.822058197143998
Trimmed Mean ( 31 / 66 )-8.51305745351012e-057.40705104597118e-05-1.14931804852898
Trimmed Mean ( 32 / 66 )-5.17082868014586e-055.19025162713803e-05-0.996257802436666
Trimmed Mean ( 33 / 66 )-2.90659656945957e-062.90659655782978e-06-1.00000000400117
Trimmed Mean ( 34 / 66 )-1.20173231635183e-142.13129066629166e-15-5.63851911594387
Trimmed Mean ( 35 / 66 )-1.21270514997516e-142.10770753523476e-15-5.75366899677609
Trimmed Mean ( 36 / 66 )-1.22402088464923e-142.08175558847248e-15-5.87975308641957
Trimmed Mean ( 37 / 66 )-1.23569584899548e-142.05317422685872e-15-6.01846561694889
Trimmed Mean ( 38 / 66 )-1.24774742509484e-142.02166249975175e-15-6.17188786579392
Trimmed Mean ( 39 / 66 )-1.26019413483681e-141.98687020216997e-15-6.3426092628521
Trimmed Mean ( 40 / 66 )-1.2730557349035e-141.9483862464037e-15-6.53389817985673
Trimmed Mean ( 41 / 66 )-1.28635332141314e-141.90572319073582e-15-6.74994840628699
Trimmed Mean ( 42 / 66 )-1.27713931384465e-141.89984520517594e-15-6.72233353730723
Trimmed Mean ( 43 / 66 )-1.26760200776499e-141.8928915587426e-15-6.69664356582068
Trimmed Mean ( 44 / 66 )-1.25772408361106e-141.88474412042817e-15-6.67318215761478
Trimmed Mean ( 45 / 66 )-1.24748696221517e-141.87526892366701e-15-6.6523096846065
Trimmed Mean ( 46 / 66 )-1.23687068817498e-141.86431343534475e-15-6.6344567642203
Trimmed Mean ( 47 / 66 )-1.22585380002007e-141.85170321771858e-15-6.62014186879474
Trimmed Mean ( 48 / 66 )-1.21441318539766e-141.83723781104973e-15-6.60999451510195
Trimmed Mean ( 49 / 66 )-1.20252391922143e-141.82068560335313e-15-6.60478622452313
Trimmed Mean ( 50 / 66 )-1.19015908239816e-141.80177736519905e-15-6.60547249280532
Trimmed Mean ( 51 / 66 )-1.17728955835761e-141.78019799740856e-15-6.61325066128256
Trimmed Mean ( 52 / 66 )-1.17174788390646e-141.77146084766935e-15-6.61458527546961
Trimmed Mean ( 53 / 66 )-1.16597039352122e-141.76107585235815e-15-6.62078462980419
Trimmed Mean ( 54 / 66 )-1.17442287778825e-141.76999819924857e-15-6.63516425207008
Trimmed Mean ( 55 / 66 )-1.18325102802271e-141.77875738947071e-15-6.65212150362338
Trimmed Mean ( 56 / 66 )-1.19248045781328e-141.7873084261692e-15-6.67193440344913
Trimmed Mean ( 57 / 66 )-1.19248045781328e-141.79559861298218e-15-6.64113042409171
Trimmed Mean ( 58 / 66 )-1.20213916340807e-141.80356611491359e-15-6.66534569189143
Trimmed Mean ( 59 / 66 )-1.22287004370906e-141.81113820589597e-15-6.75194217497117
Trimmed Mean ( 60 / 66 )-1.23401289187085e-141.818229122696e-15-6.78689432738324
Trimmed Mean ( 61 / 66 )-1.2457271681435e-141.82473742053829e-15-6.82688453759015
Trimmed Mean ( 62 / 66 )-1.2580579852726e-141.83054269292332e-15-6.87259570692406
Trimmed Mean ( 63 / 66 )-1.27105533305733e-141.83550147300261e-15-6.9248396242258
Trimmed Mean ( 64 / 66 )-1.28477475571899e-141.83944207120855e-15-6.98458938081628
Trimmed Mean ( 65 / 66 )-1.29927814538989e-141.84215801553727e-15-7.05302224039098
Trimmed Mean ( 66 / 66 )-1.31463467562966e-141.84339963447824e-15-7.1315771742667
Median-2.3980817331903e-14
Midrange-0.0195166153646
Midmean - Weighted Average at Xnp-1.49036338825681e-14
Midmean - Weighted Average at X(n+1)p-1.49036338825681e-14
Midmean - Empirical Distribution Function-1.49036338825681e-14
Midmean - Empirical Distribution Function - Averaging-1.49036338825681e-14
Midmean - Empirical Distribution Function - Interpolation-1.49036338825681e-14
Midmean - Closest Observation-1.49036338825681e-14
Midmean - True Basic - Statistics Graphics Toolkit-1.49036338825681e-14
Midmean - MS Excel (old versions)-1.49036338825681e-14
Number of observations200

\begin{tabular}{lllllllll}
\hline
Central Tendency - Ungrouped Data \tabularnewline
Measure & Value & S.E. & Value/S.E. \tabularnewline
Arithmetic Mean & -0.000199070878573121 & 0.00811822810863816 & -0.0245214689596244 \tabularnewline
Geometric Mean & NaN &  &  \tabularnewline
Harmonic Mean & 0 &  &  \tabularnewline
Quadratic Mean & 0.114521873571678 &  &  \tabularnewline
Winsorized Mean ( 1 / 66 ) & 3.49757198224397e-05 & 0.000452053702790338 & 0.077370718581773 \tabularnewline
Winsorized Mean ( 2 / 66 ) & -4.24361079389703e-05 & 0.000381423051816164 & -0.111257323690607 \tabularnewline
Winsorized Mean ( 3 / 66 ) & -4.29597005456553e-05 & 0.000381316965000244 & -0.112661393247027 \tabularnewline
Winsorized Mean ( 4 / 66 ) & -4.29597005456553e-05 & 0.000381316965000244 & -0.112661393247027 \tabularnewline
Winsorized Mean ( 5 / 66 ) & -4.29597005456553e-05 & 0.000381316965000244 & -0.112661393247027 \tabularnewline
Winsorized Mean ( 6 / 66 ) & 7.56954449059047e-05 & 0.000359827768753275 & 0.210365767956634 \tabularnewline
Winsorized Mean ( 7 / 66 ) & -6.27355581201068e-05 & 0.00029460174243167 & -0.212950397381501 \tabularnewline
Winsorized Mean ( 8 / 66 ) & -6.27355581201068e-05 & 0.00029460174243167 & -0.212950397381501 \tabularnewline
Winsorized Mean ( 9 / 66 ) & -6.27355581201068e-05 & 0.00029460174243167 & -0.212950397381501 \tabularnewline
Winsorized Mean ( 10 / 66 ) & -6.27355581188868e-05 & 0.000294361871341725 & -0.213123927473803 \tabularnewline
Winsorized Mean ( 11 / 66 ) & -9.81190542981158e-05 & 0.000289785881454386 & -0.338591562175745 \tabularnewline
Winsorized Mean ( 12 / 66 ) & -5.95188766513537e-05 & 0.000284818496920136 & -0.208971247636501 \tabularnewline
Winsorized Mean ( 13 / 66 ) & -5.95188766513537e-05 & 0.000284818496920136 & -0.208971247636501 \tabularnewline
Winsorized Mean ( 14 / 66 ) & -5.95188766513538e-05 & 0.000284818496920136 & -0.208971247636501 \tabularnewline
Winsorized Mean ( 15 / 66 ) & -5.95188766513538e-05 & 0.000284818496920136 & -0.208971247636501 \tabularnewline
Winsorized Mean ( 16 / 66 ) & -5.95188766513538e-05 & 0.000284818496920136 & -0.208971247636501 \tabularnewline
Winsorized Mean ( 17 / 66 ) & -5.95188766513537e-05 & 0.000284818496920136 & -0.208971247636501 \tabularnewline
Winsorized Mean ( 18 / 66 ) & -5.95188766513538e-05 & 0.000284818496920136 & -0.208971247636501 \tabularnewline
Winsorized Mean ( 19 / 66 ) & -5.95188766513537e-05 & 0.000284818496920136 & -0.208971247636501 \tabularnewline
Winsorized Mean ( 20 / 66 ) & -5.95188766513538e-05 & 0.000284818496920136 & -0.208971247636501 \tabularnewline
Winsorized Mean ( 21 / 66 ) & -5.95188766513537e-05 & 0.000284818496920136 & -0.208971247636501 \tabularnewline
Winsorized Mean ( 22 / 66 ) & -5.95188766513538e-05 & 0.000284818496920136 & -0.208971247636501 \tabularnewline
Winsorized Mean ( 23 / 66 ) & -6.49799154283834e-05 & 0.000284128450410484 & -0.228699080766133 \tabularnewline
Winsorized Mean ( 24 / 66 ) & -6.49799154283834e-05 & 0.000284128450410484 & -0.228699080766133 \tabularnewline
Winsorized Mean ( 25 / 66 ) & -6.28428447320835e-05 & 0.000282910028624659 & -0.222130141648171 \tabularnewline
Winsorized Mean ( 26 / 66 ) & -6.28428447320833e-05 & 0.000282910028624659 & -0.22213014164817 \tabularnewline
Winsorized Mean ( 27 / 66 ) & -5.87400964405813e-05 & 0.000282400092781488 & -0.208003106026004 \tabularnewline
Winsorized Mean ( 28 / 66 ) & -5.87400964405814e-05 & 0.000282400092781488 & -0.208003106026005 \tabularnewline
Winsorized Mean ( 29 / 66 ) & -5.87400964405814e-05 & 0.000282400092781488 & -0.208003106026005 \tabularnewline
Winsorized Mean ( 30 / 66 ) & -5.87400964405813e-05 & 0.000282400092781488 & -0.208003106026004 \tabularnewline
Winsorized Mean ( 31 / 66 ) & -0.000789672399960288 & 0.000205576990232402 & -3.84124896014663 \tabularnewline
Winsorized Mean ( 32 / 66 ) & -0.00109801652537552 & 0.00018743039380492 & -5.85826291609005 \tabularnewline
Winsorized Mean ( 33 / 66 ) & -6.62122695905518e-05 & 1.03711405995079e-05 & -6.38428039377788 \tabularnewline
Winsorized Mean ( 34 / 66 ) & -9.59232693276122e-15 & 2.32387970583695e-15 & -4.12772094384573 \tabularnewline
Winsorized Mean ( 35 / 66 ) & -9.59232693276122e-15 & 2.32387970583695e-15 & -4.12772094384573 \tabularnewline
Winsorized Mean ( 36 / 66 ) & -9.59232693276122e-15 & 2.32387970583695e-15 & -4.12772094384573 \tabularnewline
Winsorized Mean ( 37 / 66 ) & -9.59232693276122e-15 & 2.32387970583695e-15 & -4.12772094384573 \tabularnewline
Winsorized Mean ( 38 / 66 ) & -9.59232693276122e-15 & 2.32387970583695e-15 & -4.12772094384573 \tabularnewline
Winsorized Mean ( 39 / 66 ) & -9.59232693276122e-15 & 2.32387970583695e-15 & -4.12772094384573 \tabularnewline
Winsorized Mean ( 40 / 66 ) & -9.59232693276122e-15 & 2.32387970583695e-15 & -4.12772094384573 \tabularnewline
Winsorized Mean ( 41 / 66 ) & -1.5054624213917e-14 & 1.81259663662844e-15 & -8.30555674091932 \tabularnewline
Winsorized Mean ( 42 / 66 ) & -1.5054624213917e-14 & 1.81259663662844e-15 & -8.30555674091932 \tabularnewline
Winsorized Mean ( 43 / 66 ) & -1.5054624213917e-14 & 1.81259663662844e-15 & -8.30555674091932 \tabularnewline
Winsorized Mean ( 44 / 66 ) & -1.5054624213917e-14 & 1.81259663662844e-15 & -8.30555674091932 \tabularnewline
Winsorized Mean ( 45 / 66 ) & -1.5054624213917e-14 & 1.81259663662844e-15 & -8.30555674091932 \tabularnewline
Winsorized Mean ( 46 / 66 ) & -1.5054624213917e-14 & 1.81259663662844e-15 & -8.30555674091932 \tabularnewline
Winsorized Mean ( 47 / 66 ) & -1.5054624213917e-14 & 1.81259663662844e-15 & -8.30555674091932 \tabularnewline
Winsorized Mean ( 48 / 66 ) & -1.5054624213917e-14 & 1.81259663662844e-15 & -8.30555674091932 \tabularnewline
Winsorized Mean ( 49 / 66 ) & -1.5054624213917e-14 & 1.81259663662844e-15 & -8.30555674091932 \tabularnewline
Winsorized Mean ( 50 / 66 ) & -1.5054624213917e-14 & 1.81259663662844e-15 & -8.30555674091932 \tabularnewline
Winsorized Mean ( 51 / 66 ) & -1.3129497489217e-14 & 1.6362931073857e-15 & -8.0239276386087 \tabularnewline
Winsorized Mean ( 52 / 66 ) & -1.3129497489217e-14 & 1.6362931073857e-15 & -8.0239276386087 \tabularnewline
Winsorized Mean ( 53 / 66 ) & -9.598988270909e-15 & 1.35493635789385e-15 & -7.084456930383 \tabularnewline
Winsorized Mean ( 54 / 66 ) & -9.598988270909e-15 & 1.35493635789385e-15 & -7.084456930383 \tabularnewline
Winsorized Mean ( 55 / 66 ) & -9.598988270909e-15 & 1.35493635789385e-15 & -7.084456930383 \tabularnewline
Winsorized Mean ( 56 / 66 ) & -9.598988270909e-15 & 1.35493635789385e-15 & -7.084456930383 \tabularnewline
Winsorized Mean ( 57 / 66 ) & -9.598988270909e-15 & 1.35493635789385e-15 & -7.084456930383 \tabularnewline
Winsorized Mean ( 58 / 66 ) & -9.598988270909e-15 & 1.35493635789385e-15 & -7.084456930383 \tabularnewline
Winsorized Mean ( 59 / 66 ) & -9.598988270909e-15 & 1.35493635789385e-15 & -7.084456930383 \tabularnewline
Winsorized Mean ( 60 / 66 ) & -9.598988270909e-15 & 1.35493635789385e-15 & -7.084456930383 \tabularnewline
Winsorized Mean ( 61 / 66 ) & -9.598988270909e-15 & 1.35493635789385e-15 & -7.084456930383 \tabularnewline
Winsorized Mean ( 62 / 66 ) & -9.598988270909e-15 & 1.35493635789385e-15 & -7.084456930383 \tabularnewline
Winsorized Mean ( 63 / 66 ) & -9.598988270909e-15 & 1.35493635789385e-15 & -7.084456930383 \tabularnewline
Winsorized Mean ( 64 / 66 ) & -9.598988270909e-15 & 1.35493635789385e-15 & -7.084456930383 \tabularnewline
Winsorized Mean ( 65 / 66 ) & -9.598988270909e-15 & 1.35493635789385e-15 & -7.084456930383 \tabularnewline
Winsorized Mean ( 66 / 66 ) & -9.598988270909e-15 & 1.35493635789385e-15 & -7.084456930383 \tabularnewline
Trimmed Mean ( 1 / 66 ) & -3.94416659305081e-06 & 0.000407958195240613 & -0.00966806559854632 \tabularnewline
Trimmed Mean ( 2 / 66 ) & -4.36583364047758e-05 & 0.000356214357943642 & -0.122561978289722 \tabularnewline
Trimmed Mean ( 3 / 66 ) & -4.42883510778715e-05 & 0.000342001504605545 & -0.129497532851361 \tabularnewline
Trimmed Mean ( 4 / 66 ) & -4.47496880682243e-05 & 0.000326536750042918 & -0.137043343704323 \tabularnewline
Trimmed Mean ( 5 / 66 ) & -4.52207374162688e-05 & 0.000309552317804111 & -0.146084312135195 \tabularnewline
Trimmed Mean ( 6 / 66 ) & -4.57018090908674e-05 & 0.000290742745317395 & -0.15718985194618 \tabularnewline
Trimmed Mean ( 7 / 66 ) & -6.74575893770272e-05 & 0.000275284553294547 & -0.245046765500313 \tabularnewline
Trimmed Mean ( 8 / 66 ) & -6.81908240442509e-05 & 0.00027175481235411 & -0.250927751577017 \tabularnewline
Trimmed Mean ( 9 / 66 ) & -6.89401737591059e-05 & 0.000267984668567832 & -0.257254171022309 \tabularnewline
Trimmed Mean ( 10 / 66 ) & -6.97061756898465e-05 & 0.000263953303396574 & -0.264085255963314 \tabularnewline
Trimmed Mean ( 11 / 66 ) & -7.04893911472577e-05 & 0.00025967155899306 & -0.271455955440778 \tabularnewline
Trimmed Mean ( 12 / 66 ) & -6.76350871027476e-05 & 0.000255695048767351 & -0.264514653016558 \tabularnewline
Trimmed Mean ( 13 / 66 ) & -6.84125018969423e-05 & 0.000252056641332412 & -0.271417176454081 \tabularnewline
Trimmed Mean ( 14 / 66 ) & -6.92079961049556e-05 & 0.000248154533958812 & -0.278890717815547 \tabularnewline
Trimmed Mean ( 15 / 66 ) & -7.00222078237457e-05 & 0.000243963989127958 & -0.287018621371285 \tabularnewline
Trimmed Mean ( 16 / 66 ) & -7.08558055358403e-05 & 0.000239456742416069 & -0.295902319646212 \tabularnewline
Trimmed Mean ( 17 / 66 ) & -7.17094899397926e-05 & 0.000234600257029543 & -0.305666715150965 \tabularnewline
Trimmed Mean ( 18 / 66 ) & -7.2583995914573e-05 & 0.000229356757511184 & -0.316467658080812 \tabularnewline
Trimmed Mean ( 19 / 66 ) & -7.34800946294714e-05 & 0.000223681955405694 & -0.328502558448222 \tabularnewline
Trimmed Mean ( 20 / 66 ) & -7.43985958122423e-05 & 0.000217523335309068 & -0.342025813950182 \tabularnewline
Trimmed Mean ( 21 / 66 ) & -7.53403501895137e-05 & 0.000210817796908727 & -0.357371869425863 \tabularnewline
Trimmed Mean ( 22 / 66 ) & -7.63062521149203e-05 & 0.000203488324618662 & -0.374990812165359 \tabularnewline
Trimmed Mean ( 23 / 66 ) & -7.72972424020258e-05 & 0.000195439136007182 & -0.395505444719042 \tabularnewline
Trimmed Mean ( 24 / 66 ) & -7.80018949748886e-05 & 0.000186627842395615 & -0.417954223622966 \tabularnewline
Trimmed Mean ( 25 / 66 ) & -7.87253382830278e-05 & 0.000176828769637203 & -0.445206616799672 \tabularnewline
Trimmed Mean ( 26 / 66 ) & -7.95838514479437e-05 & 0.000165982266289279 & -0.479472013650195 \tabularnewline
Trimmed Mean ( 27 / 66 ) & -8.04658855214875e-05 & 0.000153668912793231 & -0.523631514395878 \tabularnewline
Trimmed Mean ( 28 / 66 ) & -8.15834672643324e-05 & 0.000139524398997059 & -0.584725451969529 \tabularnewline
Trimmed Mean ( 29 / 66 ) & -8.15834672643324e-05 & 0.000122777863155367 & -0.664480266781432 \tabularnewline
Trimmed Mean ( 30 / 66 ) & -8.39144234708377e-05 & 0.000102078446224822 & -0.822058197143998 \tabularnewline
Trimmed Mean ( 31 / 66 ) & -8.51305745351012e-05 & 7.40705104597118e-05 & -1.14931804852898 \tabularnewline
Trimmed Mean ( 32 / 66 ) & -5.17082868014586e-05 & 5.19025162713803e-05 & -0.996257802436666 \tabularnewline
Trimmed Mean ( 33 / 66 ) & -2.90659656945957e-06 & 2.90659655782978e-06 & -1.00000000400117 \tabularnewline
Trimmed Mean ( 34 / 66 ) & -1.20173231635183e-14 & 2.13129066629166e-15 & -5.63851911594387 \tabularnewline
Trimmed Mean ( 35 / 66 ) & -1.21270514997516e-14 & 2.10770753523476e-15 & -5.75366899677609 \tabularnewline
Trimmed Mean ( 36 / 66 ) & -1.22402088464923e-14 & 2.08175558847248e-15 & -5.87975308641957 \tabularnewline
Trimmed Mean ( 37 / 66 ) & -1.23569584899548e-14 & 2.05317422685872e-15 & -6.01846561694889 \tabularnewline
Trimmed Mean ( 38 / 66 ) & -1.24774742509484e-14 & 2.02166249975175e-15 & -6.17188786579392 \tabularnewline
Trimmed Mean ( 39 / 66 ) & -1.26019413483681e-14 & 1.98687020216997e-15 & -6.3426092628521 \tabularnewline
Trimmed Mean ( 40 / 66 ) & -1.2730557349035e-14 & 1.9483862464037e-15 & -6.53389817985673 \tabularnewline
Trimmed Mean ( 41 / 66 ) & -1.28635332141314e-14 & 1.90572319073582e-15 & -6.74994840628699 \tabularnewline
Trimmed Mean ( 42 / 66 ) & -1.27713931384465e-14 & 1.89984520517594e-15 & -6.72233353730723 \tabularnewline
Trimmed Mean ( 43 / 66 ) & -1.26760200776499e-14 & 1.8928915587426e-15 & -6.69664356582068 \tabularnewline
Trimmed Mean ( 44 / 66 ) & -1.25772408361106e-14 & 1.88474412042817e-15 & -6.67318215761478 \tabularnewline
Trimmed Mean ( 45 / 66 ) & -1.24748696221517e-14 & 1.87526892366701e-15 & -6.6523096846065 \tabularnewline
Trimmed Mean ( 46 / 66 ) & -1.23687068817498e-14 & 1.86431343534475e-15 & -6.6344567642203 \tabularnewline
Trimmed Mean ( 47 / 66 ) & -1.22585380002007e-14 & 1.85170321771858e-15 & -6.62014186879474 \tabularnewline
Trimmed Mean ( 48 / 66 ) & -1.21441318539766e-14 & 1.83723781104973e-15 & -6.60999451510195 \tabularnewline
Trimmed Mean ( 49 / 66 ) & -1.20252391922143e-14 & 1.82068560335313e-15 & -6.60478622452313 \tabularnewline
Trimmed Mean ( 50 / 66 ) & -1.19015908239816e-14 & 1.80177736519905e-15 & -6.60547249280532 \tabularnewline
Trimmed Mean ( 51 / 66 ) & -1.17728955835761e-14 & 1.78019799740856e-15 & -6.61325066128256 \tabularnewline
Trimmed Mean ( 52 / 66 ) & -1.17174788390646e-14 & 1.77146084766935e-15 & -6.61458527546961 \tabularnewline
Trimmed Mean ( 53 / 66 ) & -1.16597039352122e-14 & 1.76107585235815e-15 & -6.62078462980419 \tabularnewline
Trimmed Mean ( 54 / 66 ) & -1.17442287778825e-14 & 1.76999819924857e-15 & -6.63516425207008 \tabularnewline
Trimmed Mean ( 55 / 66 ) & -1.18325102802271e-14 & 1.77875738947071e-15 & -6.65212150362338 \tabularnewline
Trimmed Mean ( 56 / 66 ) & -1.19248045781328e-14 & 1.7873084261692e-15 & -6.67193440344913 \tabularnewline
Trimmed Mean ( 57 / 66 ) & -1.19248045781328e-14 & 1.79559861298218e-15 & -6.64113042409171 \tabularnewline
Trimmed Mean ( 58 / 66 ) & -1.20213916340807e-14 & 1.80356611491359e-15 & -6.66534569189143 \tabularnewline
Trimmed Mean ( 59 / 66 ) & -1.22287004370906e-14 & 1.81113820589597e-15 & -6.75194217497117 \tabularnewline
Trimmed Mean ( 60 / 66 ) & -1.23401289187085e-14 & 1.818229122696e-15 & -6.78689432738324 \tabularnewline
Trimmed Mean ( 61 / 66 ) & -1.2457271681435e-14 & 1.82473742053829e-15 & -6.82688453759015 \tabularnewline
Trimmed Mean ( 62 / 66 ) & -1.2580579852726e-14 & 1.83054269292332e-15 & -6.87259570692406 \tabularnewline
Trimmed Mean ( 63 / 66 ) & -1.27105533305733e-14 & 1.83550147300261e-15 & -6.9248396242258 \tabularnewline
Trimmed Mean ( 64 / 66 ) & -1.28477475571899e-14 & 1.83944207120855e-15 & -6.98458938081628 \tabularnewline
Trimmed Mean ( 65 / 66 ) & -1.29927814538989e-14 & 1.84215801553727e-15 & -7.05302224039098 \tabularnewline
Trimmed Mean ( 66 / 66 ) & -1.31463467562966e-14 & 1.84339963447824e-15 & -7.1315771742667 \tabularnewline
Median & -2.3980817331903e-14 &  &  \tabularnewline
Midrange & -0.0195166153646 &  &  \tabularnewline
Midmean - Weighted Average at Xnp & -1.49036338825681e-14 &  &  \tabularnewline
Midmean - Weighted Average at X(n+1)p & -1.49036338825681e-14 &  &  \tabularnewline
Midmean - Empirical Distribution Function & -1.49036338825681e-14 &  &  \tabularnewline
Midmean - Empirical Distribution Function - Averaging & -1.49036338825681e-14 &  &  \tabularnewline
Midmean - Empirical Distribution Function - Interpolation & -1.49036338825681e-14 &  &  \tabularnewline
Midmean - Closest Observation & -1.49036338825681e-14 &  &  \tabularnewline
Midmean - True Basic - Statistics Graphics Toolkit & -1.49036338825681e-14 &  &  \tabularnewline
Midmean - MS Excel (old versions) & -1.49036338825681e-14 &  &  \tabularnewline
Number of observations & 200 &  &  \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=99195&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]-0.000199070878573121[/C][C]0.00811822810863816[/C][C]-0.0245214689596244[/C][/ROW]
[ROW][C]Geometric Mean[/C][C]NaN[/C][C][/C][C][/C][/ROW]
[ROW][C]Harmonic Mean[/C][C]0[/C][C][/C][C][/C][/ROW]
[ROW][C]Quadratic Mean[/C][C]0.114521873571678[/C][C][/C][C][/C][/ROW]
[ROW][C]Winsorized Mean ( 1 / 66 )[/C][C]3.49757198224397e-05[/C][C]0.000452053702790338[/C][C]0.077370718581773[/C][/ROW]
[ROW][C]Winsorized Mean ( 2 / 66 )[/C][C]-4.24361079389703e-05[/C][C]0.000381423051816164[/C][C]-0.111257323690607[/C][/ROW]
[ROW][C]Winsorized Mean ( 3 / 66 )[/C][C]-4.29597005456553e-05[/C][C]0.000381316965000244[/C][C]-0.112661393247027[/C][/ROW]
[ROW][C]Winsorized Mean ( 4 / 66 )[/C][C]-4.29597005456553e-05[/C][C]0.000381316965000244[/C][C]-0.112661393247027[/C][/ROW]
[ROW][C]Winsorized Mean ( 5 / 66 )[/C][C]-4.29597005456553e-05[/C][C]0.000381316965000244[/C][C]-0.112661393247027[/C][/ROW]
[ROW][C]Winsorized Mean ( 6 / 66 )[/C][C]7.56954449059047e-05[/C][C]0.000359827768753275[/C][C]0.210365767956634[/C][/ROW]
[ROW][C]Winsorized Mean ( 7 / 66 )[/C][C]-6.27355581201068e-05[/C][C]0.00029460174243167[/C][C]-0.212950397381501[/C][/ROW]
[ROW][C]Winsorized Mean ( 8 / 66 )[/C][C]-6.27355581201068e-05[/C][C]0.00029460174243167[/C][C]-0.212950397381501[/C][/ROW]
[ROW][C]Winsorized Mean ( 9 / 66 )[/C][C]-6.27355581201068e-05[/C][C]0.00029460174243167[/C][C]-0.212950397381501[/C][/ROW]
[ROW][C]Winsorized Mean ( 10 / 66 )[/C][C]-6.27355581188868e-05[/C][C]0.000294361871341725[/C][C]-0.213123927473803[/C][/ROW]
[ROW][C]Winsorized Mean ( 11 / 66 )[/C][C]-9.81190542981158e-05[/C][C]0.000289785881454386[/C][C]-0.338591562175745[/C][/ROW]
[ROW][C]Winsorized Mean ( 12 / 66 )[/C][C]-5.95188766513537e-05[/C][C]0.000284818496920136[/C][C]-0.208971247636501[/C][/ROW]
[ROW][C]Winsorized Mean ( 13 / 66 )[/C][C]-5.95188766513537e-05[/C][C]0.000284818496920136[/C][C]-0.208971247636501[/C][/ROW]
[ROW][C]Winsorized Mean ( 14 / 66 )[/C][C]-5.95188766513538e-05[/C][C]0.000284818496920136[/C][C]-0.208971247636501[/C][/ROW]
[ROW][C]Winsorized Mean ( 15 / 66 )[/C][C]-5.95188766513538e-05[/C][C]0.000284818496920136[/C][C]-0.208971247636501[/C][/ROW]
[ROW][C]Winsorized Mean ( 16 / 66 )[/C][C]-5.95188766513538e-05[/C][C]0.000284818496920136[/C][C]-0.208971247636501[/C][/ROW]
[ROW][C]Winsorized Mean ( 17 / 66 )[/C][C]-5.95188766513537e-05[/C][C]0.000284818496920136[/C][C]-0.208971247636501[/C][/ROW]
[ROW][C]Winsorized Mean ( 18 / 66 )[/C][C]-5.95188766513538e-05[/C][C]0.000284818496920136[/C][C]-0.208971247636501[/C][/ROW]
[ROW][C]Winsorized Mean ( 19 / 66 )[/C][C]-5.95188766513537e-05[/C][C]0.000284818496920136[/C][C]-0.208971247636501[/C][/ROW]
[ROW][C]Winsorized Mean ( 20 / 66 )[/C][C]-5.95188766513538e-05[/C][C]0.000284818496920136[/C][C]-0.208971247636501[/C][/ROW]
[ROW][C]Winsorized Mean ( 21 / 66 )[/C][C]-5.95188766513537e-05[/C][C]0.000284818496920136[/C][C]-0.208971247636501[/C][/ROW]
[ROW][C]Winsorized Mean ( 22 / 66 )[/C][C]-5.95188766513538e-05[/C][C]0.000284818496920136[/C][C]-0.208971247636501[/C][/ROW]
[ROW][C]Winsorized Mean ( 23 / 66 )[/C][C]-6.49799154283834e-05[/C][C]0.000284128450410484[/C][C]-0.228699080766133[/C][/ROW]
[ROW][C]Winsorized Mean ( 24 / 66 )[/C][C]-6.49799154283834e-05[/C][C]0.000284128450410484[/C][C]-0.228699080766133[/C][/ROW]
[ROW][C]Winsorized Mean ( 25 / 66 )[/C][C]-6.28428447320835e-05[/C][C]0.000282910028624659[/C][C]-0.222130141648171[/C][/ROW]
[ROW][C]Winsorized Mean ( 26 / 66 )[/C][C]-6.28428447320833e-05[/C][C]0.000282910028624659[/C][C]-0.22213014164817[/C][/ROW]
[ROW][C]Winsorized Mean ( 27 / 66 )[/C][C]-5.87400964405813e-05[/C][C]0.000282400092781488[/C][C]-0.208003106026004[/C][/ROW]
[ROW][C]Winsorized Mean ( 28 / 66 )[/C][C]-5.87400964405814e-05[/C][C]0.000282400092781488[/C][C]-0.208003106026005[/C][/ROW]
[ROW][C]Winsorized Mean ( 29 / 66 )[/C][C]-5.87400964405814e-05[/C][C]0.000282400092781488[/C][C]-0.208003106026005[/C][/ROW]
[ROW][C]Winsorized Mean ( 30 / 66 )[/C][C]-5.87400964405813e-05[/C][C]0.000282400092781488[/C][C]-0.208003106026004[/C][/ROW]
[ROW][C]Winsorized Mean ( 31 / 66 )[/C][C]-0.000789672399960288[/C][C]0.000205576990232402[/C][C]-3.84124896014663[/C][/ROW]
[ROW][C]Winsorized Mean ( 32 / 66 )[/C][C]-0.00109801652537552[/C][C]0.00018743039380492[/C][C]-5.85826291609005[/C][/ROW]
[ROW][C]Winsorized Mean ( 33 / 66 )[/C][C]-6.62122695905518e-05[/C][C]1.03711405995079e-05[/C][C]-6.38428039377788[/C][/ROW]
[ROW][C]Winsorized Mean ( 34 / 66 )[/C][C]-9.59232693276122e-15[/C][C]2.32387970583695e-15[/C][C]-4.12772094384573[/C][/ROW]
[ROW][C]Winsorized Mean ( 35 / 66 )[/C][C]-9.59232693276122e-15[/C][C]2.32387970583695e-15[/C][C]-4.12772094384573[/C][/ROW]
[ROW][C]Winsorized Mean ( 36 / 66 )[/C][C]-9.59232693276122e-15[/C][C]2.32387970583695e-15[/C][C]-4.12772094384573[/C][/ROW]
[ROW][C]Winsorized Mean ( 37 / 66 )[/C][C]-9.59232693276122e-15[/C][C]2.32387970583695e-15[/C][C]-4.12772094384573[/C][/ROW]
[ROW][C]Winsorized Mean ( 38 / 66 )[/C][C]-9.59232693276122e-15[/C][C]2.32387970583695e-15[/C][C]-4.12772094384573[/C][/ROW]
[ROW][C]Winsorized Mean ( 39 / 66 )[/C][C]-9.59232693276122e-15[/C][C]2.32387970583695e-15[/C][C]-4.12772094384573[/C][/ROW]
[ROW][C]Winsorized Mean ( 40 / 66 )[/C][C]-9.59232693276122e-15[/C][C]2.32387970583695e-15[/C][C]-4.12772094384573[/C][/ROW]
[ROW][C]Winsorized Mean ( 41 / 66 )[/C][C]-1.5054624213917e-14[/C][C]1.81259663662844e-15[/C][C]-8.30555674091932[/C][/ROW]
[ROW][C]Winsorized Mean ( 42 / 66 )[/C][C]-1.5054624213917e-14[/C][C]1.81259663662844e-15[/C][C]-8.30555674091932[/C][/ROW]
[ROW][C]Winsorized Mean ( 43 / 66 )[/C][C]-1.5054624213917e-14[/C][C]1.81259663662844e-15[/C][C]-8.30555674091932[/C][/ROW]
[ROW][C]Winsorized Mean ( 44 / 66 )[/C][C]-1.5054624213917e-14[/C][C]1.81259663662844e-15[/C][C]-8.30555674091932[/C][/ROW]
[ROW][C]Winsorized Mean ( 45 / 66 )[/C][C]-1.5054624213917e-14[/C][C]1.81259663662844e-15[/C][C]-8.30555674091932[/C][/ROW]
[ROW][C]Winsorized Mean ( 46 / 66 )[/C][C]-1.5054624213917e-14[/C][C]1.81259663662844e-15[/C][C]-8.30555674091932[/C][/ROW]
[ROW][C]Winsorized Mean ( 47 / 66 )[/C][C]-1.5054624213917e-14[/C][C]1.81259663662844e-15[/C][C]-8.30555674091932[/C][/ROW]
[ROW][C]Winsorized Mean ( 48 / 66 )[/C][C]-1.5054624213917e-14[/C][C]1.81259663662844e-15[/C][C]-8.30555674091932[/C][/ROW]
[ROW][C]Winsorized Mean ( 49 / 66 )[/C][C]-1.5054624213917e-14[/C][C]1.81259663662844e-15[/C][C]-8.30555674091932[/C][/ROW]
[ROW][C]Winsorized Mean ( 50 / 66 )[/C][C]-1.5054624213917e-14[/C][C]1.81259663662844e-15[/C][C]-8.30555674091932[/C][/ROW]
[ROW][C]Winsorized Mean ( 51 / 66 )[/C][C]-1.3129497489217e-14[/C][C]1.6362931073857e-15[/C][C]-8.0239276386087[/C][/ROW]
[ROW][C]Winsorized Mean ( 52 / 66 )[/C][C]-1.3129497489217e-14[/C][C]1.6362931073857e-15[/C][C]-8.0239276386087[/C][/ROW]
[ROW][C]Winsorized Mean ( 53 / 66 )[/C][C]-9.598988270909e-15[/C][C]1.35493635789385e-15[/C][C]-7.084456930383[/C][/ROW]
[ROW][C]Winsorized Mean ( 54 / 66 )[/C][C]-9.598988270909e-15[/C][C]1.35493635789385e-15[/C][C]-7.084456930383[/C][/ROW]
[ROW][C]Winsorized Mean ( 55 / 66 )[/C][C]-9.598988270909e-15[/C][C]1.35493635789385e-15[/C][C]-7.084456930383[/C][/ROW]
[ROW][C]Winsorized Mean ( 56 / 66 )[/C][C]-9.598988270909e-15[/C][C]1.35493635789385e-15[/C][C]-7.084456930383[/C][/ROW]
[ROW][C]Winsorized Mean ( 57 / 66 )[/C][C]-9.598988270909e-15[/C][C]1.35493635789385e-15[/C][C]-7.084456930383[/C][/ROW]
[ROW][C]Winsorized Mean ( 58 / 66 )[/C][C]-9.598988270909e-15[/C][C]1.35493635789385e-15[/C][C]-7.084456930383[/C][/ROW]
[ROW][C]Winsorized Mean ( 59 / 66 )[/C][C]-9.598988270909e-15[/C][C]1.35493635789385e-15[/C][C]-7.084456930383[/C][/ROW]
[ROW][C]Winsorized Mean ( 60 / 66 )[/C][C]-9.598988270909e-15[/C][C]1.35493635789385e-15[/C][C]-7.084456930383[/C][/ROW]
[ROW][C]Winsorized Mean ( 61 / 66 )[/C][C]-9.598988270909e-15[/C][C]1.35493635789385e-15[/C][C]-7.084456930383[/C][/ROW]
[ROW][C]Winsorized Mean ( 62 / 66 )[/C][C]-9.598988270909e-15[/C][C]1.35493635789385e-15[/C][C]-7.084456930383[/C][/ROW]
[ROW][C]Winsorized Mean ( 63 / 66 )[/C][C]-9.598988270909e-15[/C][C]1.35493635789385e-15[/C][C]-7.084456930383[/C][/ROW]
[ROW][C]Winsorized Mean ( 64 / 66 )[/C][C]-9.598988270909e-15[/C][C]1.35493635789385e-15[/C][C]-7.084456930383[/C][/ROW]
[ROW][C]Winsorized Mean ( 65 / 66 )[/C][C]-9.598988270909e-15[/C][C]1.35493635789385e-15[/C][C]-7.084456930383[/C][/ROW]
[ROW][C]Winsorized Mean ( 66 / 66 )[/C][C]-9.598988270909e-15[/C][C]1.35493635789385e-15[/C][C]-7.084456930383[/C][/ROW]
[ROW][C]Trimmed Mean ( 1 / 66 )[/C][C]-3.94416659305081e-06[/C][C]0.000407958195240613[/C][C]-0.00966806559854632[/C][/ROW]
[ROW][C]Trimmed Mean ( 2 / 66 )[/C][C]-4.36583364047758e-05[/C][C]0.000356214357943642[/C][C]-0.122561978289722[/C][/ROW]
[ROW][C]Trimmed Mean ( 3 / 66 )[/C][C]-4.42883510778715e-05[/C][C]0.000342001504605545[/C][C]-0.129497532851361[/C][/ROW]
[ROW][C]Trimmed Mean ( 4 / 66 )[/C][C]-4.47496880682243e-05[/C][C]0.000326536750042918[/C][C]-0.137043343704323[/C][/ROW]
[ROW][C]Trimmed Mean ( 5 / 66 )[/C][C]-4.52207374162688e-05[/C][C]0.000309552317804111[/C][C]-0.146084312135195[/C][/ROW]
[ROW][C]Trimmed Mean ( 6 / 66 )[/C][C]-4.57018090908674e-05[/C][C]0.000290742745317395[/C][C]-0.15718985194618[/C][/ROW]
[ROW][C]Trimmed Mean ( 7 / 66 )[/C][C]-6.74575893770272e-05[/C][C]0.000275284553294547[/C][C]-0.245046765500313[/C][/ROW]
[ROW][C]Trimmed Mean ( 8 / 66 )[/C][C]-6.81908240442509e-05[/C][C]0.00027175481235411[/C][C]-0.250927751577017[/C][/ROW]
[ROW][C]Trimmed Mean ( 9 / 66 )[/C][C]-6.89401737591059e-05[/C][C]0.000267984668567832[/C][C]-0.257254171022309[/C][/ROW]
[ROW][C]Trimmed Mean ( 10 / 66 )[/C][C]-6.97061756898465e-05[/C][C]0.000263953303396574[/C][C]-0.264085255963314[/C][/ROW]
[ROW][C]Trimmed Mean ( 11 / 66 )[/C][C]-7.04893911472577e-05[/C][C]0.00025967155899306[/C][C]-0.271455955440778[/C][/ROW]
[ROW][C]Trimmed Mean ( 12 / 66 )[/C][C]-6.76350871027476e-05[/C][C]0.000255695048767351[/C][C]-0.264514653016558[/C][/ROW]
[ROW][C]Trimmed Mean ( 13 / 66 )[/C][C]-6.84125018969423e-05[/C][C]0.000252056641332412[/C][C]-0.271417176454081[/C][/ROW]
[ROW][C]Trimmed Mean ( 14 / 66 )[/C][C]-6.92079961049556e-05[/C][C]0.000248154533958812[/C][C]-0.278890717815547[/C][/ROW]
[ROW][C]Trimmed Mean ( 15 / 66 )[/C][C]-7.00222078237457e-05[/C][C]0.000243963989127958[/C][C]-0.287018621371285[/C][/ROW]
[ROW][C]Trimmed Mean ( 16 / 66 )[/C][C]-7.08558055358403e-05[/C][C]0.000239456742416069[/C][C]-0.295902319646212[/C][/ROW]
[ROW][C]Trimmed Mean ( 17 / 66 )[/C][C]-7.17094899397926e-05[/C][C]0.000234600257029543[/C][C]-0.305666715150965[/C][/ROW]
[ROW][C]Trimmed Mean ( 18 / 66 )[/C][C]-7.2583995914573e-05[/C][C]0.000229356757511184[/C][C]-0.316467658080812[/C][/ROW]
[ROW][C]Trimmed Mean ( 19 / 66 )[/C][C]-7.34800946294714e-05[/C][C]0.000223681955405694[/C][C]-0.328502558448222[/C][/ROW]
[ROW][C]Trimmed Mean ( 20 / 66 )[/C][C]-7.43985958122423e-05[/C][C]0.000217523335309068[/C][C]-0.342025813950182[/C][/ROW]
[ROW][C]Trimmed Mean ( 21 / 66 )[/C][C]-7.53403501895137e-05[/C][C]0.000210817796908727[/C][C]-0.357371869425863[/C][/ROW]
[ROW][C]Trimmed Mean ( 22 / 66 )[/C][C]-7.63062521149203e-05[/C][C]0.000203488324618662[/C][C]-0.374990812165359[/C][/ROW]
[ROW][C]Trimmed Mean ( 23 / 66 )[/C][C]-7.72972424020258e-05[/C][C]0.000195439136007182[/C][C]-0.395505444719042[/C][/ROW]
[ROW][C]Trimmed Mean ( 24 / 66 )[/C][C]-7.80018949748886e-05[/C][C]0.000186627842395615[/C][C]-0.417954223622966[/C][/ROW]
[ROW][C]Trimmed Mean ( 25 / 66 )[/C][C]-7.87253382830278e-05[/C][C]0.000176828769637203[/C][C]-0.445206616799672[/C][/ROW]
[ROW][C]Trimmed Mean ( 26 / 66 )[/C][C]-7.95838514479437e-05[/C][C]0.000165982266289279[/C][C]-0.479472013650195[/C][/ROW]
[ROW][C]Trimmed Mean ( 27 / 66 )[/C][C]-8.04658855214875e-05[/C][C]0.000153668912793231[/C][C]-0.523631514395878[/C][/ROW]
[ROW][C]Trimmed Mean ( 28 / 66 )[/C][C]-8.15834672643324e-05[/C][C]0.000139524398997059[/C][C]-0.584725451969529[/C][/ROW]
[ROW][C]Trimmed Mean ( 29 / 66 )[/C][C]-8.15834672643324e-05[/C][C]0.000122777863155367[/C][C]-0.664480266781432[/C][/ROW]
[ROW][C]Trimmed Mean ( 30 / 66 )[/C][C]-8.39144234708377e-05[/C][C]0.000102078446224822[/C][C]-0.822058197143998[/C][/ROW]
[ROW][C]Trimmed Mean ( 31 / 66 )[/C][C]-8.51305745351012e-05[/C][C]7.40705104597118e-05[/C][C]-1.14931804852898[/C][/ROW]
[ROW][C]Trimmed Mean ( 32 / 66 )[/C][C]-5.17082868014586e-05[/C][C]5.19025162713803e-05[/C][C]-0.996257802436666[/C][/ROW]
[ROW][C]Trimmed Mean ( 33 / 66 )[/C][C]-2.90659656945957e-06[/C][C]2.90659655782978e-06[/C][C]-1.00000000400117[/C][/ROW]
[ROW][C]Trimmed Mean ( 34 / 66 )[/C][C]-1.20173231635183e-14[/C][C]2.13129066629166e-15[/C][C]-5.63851911594387[/C][/ROW]
[ROW][C]Trimmed Mean ( 35 / 66 )[/C][C]-1.21270514997516e-14[/C][C]2.10770753523476e-15[/C][C]-5.75366899677609[/C][/ROW]
[ROW][C]Trimmed Mean ( 36 / 66 )[/C][C]-1.22402088464923e-14[/C][C]2.08175558847248e-15[/C][C]-5.87975308641957[/C][/ROW]
[ROW][C]Trimmed Mean ( 37 / 66 )[/C][C]-1.23569584899548e-14[/C][C]2.05317422685872e-15[/C][C]-6.01846561694889[/C][/ROW]
[ROW][C]Trimmed Mean ( 38 / 66 )[/C][C]-1.24774742509484e-14[/C][C]2.02166249975175e-15[/C][C]-6.17188786579392[/C][/ROW]
[ROW][C]Trimmed Mean ( 39 / 66 )[/C][C]-1.26019413483681e-14[/C][C]1.98687020216997e-15[/C][C]-6.3426092628521[/C][/ROW]
[ROW][C]Trimmed Mean ( 40 / 66 )[/C][C]-1.2730557349035e-14[/C][C]1.9483862464037e-15[/C][C]-6.53389817985673[/C][/ROW]
[ROW][C]Trimmed Mean ( 41 / 66 )[/C][C]-1.28635332141314e-14[/C][C]1.90572319073582e-15[/C][C]-6.74994840628699[/C][/ROW]
[ROW][C]Trimmed Mean ( 42 / 66 )[/C][C]-1.27713931384465e-14[/C][C]1.89984520517594e-15[/C][C]-6.72233353730723[/C][/ROW]
[ROW][C]Trimmed Mean ( 43 / 66 )[/C][C]-1.26760200776499e-14[/C][C]1.8928915587426e-15[/C][C]-6.69664356582068[/C][/ROW]
[ROW][C]Trimmed Mean ( 44 / 66 )[/C][C]-1.25772408361106e-14[/C][C]1.88474412042817e-15[/C][C]-6.67318215761478[/C][/ROW]
[ROW][C]Trimmed Mean ( 45 / 66 )[/C][C]-1.24748696221517e-14[/C][C]1.87526892366701e-15[/C][C]-6.6523096846065[/C][/ROW]
[ROW][C]Trimmed Mean ( 46 / 66 )[/C][C]-1.23687068817498e-14[/C][C]1.86431343534475e-15[/C][C]-6.6344567642203[/C][/ROW]
[ROW][C]Trimmed Mean ( 47 / 66 )[/C][C]-1.22585380002007e-14[/C][C]1.85170321771858e-15[/C][C]-6.62014186879474[/C][/ROW]
[ROW][C]Trimmed Mean ( 48 / 66 )[/C][C]-1.21441318539766e-14[/C][C]1.83723781104973e-15[/C][C]-6.60999451510195[/C][/ROW]
[ROW][C]Trimmed Mean ( 49 / 66 )[/C][C]-1.20252391922143e-14[/C][C]1.82068560335313e-15[/C][C]-6.60478622452313[/C][/ROW]
[ROW][C]Trimmed Mean ( 50 / 66 )[/C][C]-1.19015908239816e-14[/C][C]1.80177736519905e-15[/C][C]-6.60547249280532[/C][/ROW]
[ROW][C]Trimmed Mean ( 51 / 66 )[/C][C]-1.17728955835761e-14[/C][C]1.78019799740856e-15[/C][C]-6.61325066128256[/C][/ROW]
[ROW][C]Trimmed Mean ( 52 / 66 )[/C][C]-1.17174788390646e-14[/C][C]1.77146084766935e-15[/C][C]-6.61458527546961[/C][/ROW]
[ROW][C]Trimmed Mean ( 53 / 66 )[/C][C]-1.16597039352122e-14[/C][C]1.76107585235815e-15[/C][C]-6.62078462980419[/C][/ROW]
[ROW][C]Trimmed Mean ( 54 / 66 )[/C][C]-1.17442287778825e-14[/C][C]1.76999819924857e-15[/C][C]-6.63516425207008[/C][/ROW]
[ROW][C]Trimmed Mean ( 55 / 66 )[/C][C]-1.18325102802271e-14[/C][C]1.77875738947071e-15[/C][C]-6.65212150362338[/C][/ROW]
[ROW][C]Trimmed Mean ( 56 / 66 )[/C][C]-1.19248045781328e-14[/C][C]1.7873084261692e-15[/C][C]-6.67193440344913[/C][/ROW]
[ROW][C]Trimmed Mean ( 57 / 66 )[/C][C]-1.19248045781328e-14[/C][C]1.79559861298218e-15[/C][C]-6.64113042409171[/C][/ROW]
[ROW][C]Trimmed Mean ( 58 / 66 )[/C][C]-1.20213916340807e-14[/C][C]1.80356611491359e-15[/C][C]-6.66534569189143[/C][/ROW]
[ROW][C]Trimmed Mean ( 59 / 66 )[/C][C]-1.22287004370906e-14[/C][C]1.81113820589597e-15[/C][C]-6.75194217497117[/C][/ROW]
[ROW][C]Trimmed Mean ( 60 / 66 )[/C][C]-1.23401289187085e-14[/C][C]1.818229122696e-15[/C][C]-6.78689432738324[/C][/ROW]
[ROW][C]Trimmed Mean ( 61 / 66 )[/C][C]-1.2457271681435e-14[/C][C]1.82473742053829e-15[/C][C]-6.82688453759015[/C][/ROW]
[ROW][C]Trimmed Mean ( 62 / 66 )[/C][C]-1.2580579852726e-14[/C][C]1.83054269292332e-15[/C][C]-6.87259570692406[/C][/ROW]
[ROW][C]Trimmed Mean ( 63 / 66 )[/C][C]-1.27105533305733e-14[/C][C]1.83550147300261e-15[/C][C]-6.9248396242258[/C][/ROW]
[ROW][C]Trimmed Mean ( 64 / 66 )[/C][C]-1.28477475571899e-14[/C][C]1.83944207120855e-15[/C][C]-6.98458938081628[/C][/ROW]
[ROW][C]Trimmed Mean ( 65 / 66 )[/C][C]-1.29927814538989e-14[/C][C]1.84215801553727e-15[/C][C]-7.05302224039098[/C][/ROW]
[ROW][C]Trimmed Mean ( 66 / 66 )[/C][C]-1.31463467562966e-14[/C][C]1.84339963447824e-15[/C][C]-7.1315771742667[/C][/ROW]
[ROW][C]Median[/C][C]-2.3980817331903e-14[/C][C][/C][C][/C][/ROW]
[ROW][C]Midrange[/C][C]-0.0195166153646[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - Weighted Average at Xnp[/C][C]-1.49036338825681e-14[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - Weighted Average at X(n+1)p[/C][C]-1.49036338825681e-14[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - Empirical Distribution Function[/C][C]-1.49036338825681e-14[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - Empirical Distribution Function - Averaging[/C][C]-1.49036338825681e-14[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - Empirical Distribution Function - Interpolation[/C][C]-1.49036338825681e-14[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - Closest Observation[/C][C]-1.49036338825681e-14[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - True Basic - Statistics Graphics Toolkit[/C][C]-1.49036338825681e-14[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - MS Excel (old versions)[/C][C]-1.49036338825681e-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=99195&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=99195&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-0.0001990708785731210.00811822810863816-0.0245214689596244
Geometric MeanNaN
Harmonic Mean0
Quadratic Mean0.114521873571678
Winsorized Mean ( 1 / 66 )3.49757198224397e-050.0004520537027903380.077370718581773
Winsorized Mean ( 2 / 66 )-4.24361079389703e-050.000381423051816164-0.111257323690607
Winsorized Mean ( 3 / 66 )-4.29597005456553e-050.000381316965000244-0.112661393247027
Winsorized Mean ( 4 / 66 )-4.29597005456553e-050.000381316965000244-0.112661393247027
Winsorized Mean ( 5 / 66 )-4.29597005456553e-050.000381316965000244-0.112661393247027
Winsorized Mean ( 6 / 66 )7.56954449059047e-050.0003598277687532750.210365767956634
Winsorized Mean ( 7 / 66 )-6.27355581201068e-050.00029460174243167-0.212950397381501
Winsorized Mean ( 8 / 66 )-6.27355581201068e-050.00029460174243167-0.212950397381501
Winsorized Mean ( 9 / 66 )-6.27355581201068e-050.00029460174243167-0.212950397381501
Winsorized Mean ( 10 / 66 )-6.27355581188868e-050.000294361871341725-0.213123927473803
Winsorized Mean ( 11 / 66 )-9.81190542981158e-050.000289785881454386-0.338591562175745
Winsorized Mean ( 12 / 66 )-5.95188766513537e-050.000284818496920136-0.208971247636501
Winsorized Mean ( 13 / 66 )-5.95188766513537e-050.000284818496920136-0.208971247636501
Winsorized Mean ( 14 / 66 )-5.95188766513538e-050.000284818496920136-0.208971247636501
Winsorized Mean ( 15 / 66 )-5.95188766513538e-050.000284818496920136-0.208971247636501
Winsorized Mean ( 16 / 66 )-5.95188766513538e-050.000284818496920136-0.208971247636501
Winsorized Mean ( 17 / 66 )-5.95188766513537e-050.000284818496920136-0.208971247636501
Winsorized Mean ( 18 / 66 )-5.95188766513538e-050.000284818496920136-0.208971247636501
Winsorized Mean ( 19 / 66 )-5.95188766513537e-050.000284818496920136-0.208971247636501
Winsorized Mean ( 20 / 66 )-5.95188766513538e-050.000284818496920136-0.208971247636501
Winsorized Mean ( 21 / 66 )-5.95188766513537e-050.000284818496920136-0.208971247636501
Winsorized Mean ( 22 / 66 )-5.95188766513538e-050.000284818496920136-0.208971247636501
Winsorized Mean ( 23 / 66 )-6.49799154283834e-050.000284128450410484-0.228699080766133
Winsorized Mean ( 24 / 66 )-6.49799154283834e-050.000284128450410484-0.228699080766133
Winsorized Mean ( 25 / 66 )-6.28428447320835e-050.000282910028624659-0.222130141648171
Winsorized Mean ( 26 / 66 )-6.28428447320833e-050.000282910028624659-0.22213014164817
Winsorized Mean ( 27 / 66 )-5.87400964405813e-050.000282400092781488-0.208003106026004
Winsorized Mean ( 28 / 66 )-5.87400964405814e-050.000282400092781488-0.208003106026005
Winsorized Mean ( 29 / 66 )-5.87400964405814e-050.000282400092781488-0.208003106026005
Winsorized Mean ( 30 / 66 )-5.87400964405813e-050.000282400092781488-0.208003106026004
Winsorized Mean ( 31 / 66 )-0.0007896723999602880.000205576990232402-3.84124896014663
Winsorized Mean ( 32 / 66 )-0.001098016525375520.00018743039380492-5.85826291609005
Winsorized Mean ( 33 / 66 )-6.62122695905518e-051.03711405995079e-05-6.38428039377788
Winsorized Mean ( 34 / 66 )-9.59232693276122e-152.32387970583695e-15-4.12772094384573
Winsorized Mean ( 35 / 66 )-9.59232693276122e-152.32387970583695e-15-4.12772094384573
Winsorized Mean ( 36 / 66 )-9.59232693276122e-152.32387970583695e-15-4.12772094384573
Winsorized Mean ( 37 / 66 )-9.59232693276122e-152.32387970583695e-15-4.12772094384573
Winsorized Mean ( 38 / 66 )-9.59232693276122e-152.32387970583695e-15-4.12772094384573
Winsorized Mean ( 39 / 66 )-9.59232693276122e-152.32387970583695e-15-4.12772094384573
Winsorized Mean ( 40 / 66 )-9.59232693276122e-152.32387970583695e-15-4.12772094384573
Winsorized Mean ( 41 / 66 )-1.5054624213917e-141.81259663662844e-15-8.30555674091932
Winsorized Mean ( 42 / 66 )-1.5054624213917e-141.81259663662844e-15-8.30555674091932
Winsorized Mean ( 43 / 66 )-1.5054624213917e-141.81259663662844e-15-8.30555674091932
Winsorized Mean ( 44 / 66 )-1.5054624213917e-141.81259663662844e-15-8.30555674091932
Winsorized Mean ( 45 / 66 )-1.5054624213917e-141.81259663662844e-15-8.30555674091932
Winsorized Mean ( 46 / 66 )-1.5054624213917e-141.81259663662844e-15-8.30555674091932
Winsorized Mean ( 47 / 66 )-1.5054624213917e-141.81259663662844e-15-8.30555674091932
Winsorized Mean ( 48 / 66 )-1.5054624213917e-141.81259663662844e-15-8.30555674091932
Winsorized Mean ( 49 / 66 )-1.5054624213917e-141.81259663662844e-15-8.30555674091932
Winsorized Mean ( 50 / 66 )-1.5054624213917e-141.81259663662844e-15-8.30555674091932
Winsorized Mean ( 51 / 66 )-1.3129497489217e-141.6362931073857e-15-8.0239276386087
Winsorized Mean ( 52 / 66 )-1.3129497489217e-141.6362931073857e-15-8.0239276386087
Winsorized Mean ( 53 / 66 )-9.598988270909e-151.35493635789385e-15-7.084456930383
Winsorized Mean ( 54 / 66 )-9.598988270909e-151.35493635789385e-15-7.084456930383
Winsorized Mean ( 55 / 66 )-9.598988270909e-151.35493635789385e-15-7.084456930383
Winsorized Mean ( 56 / 66 )-9.598988270909e-151.35493635789385e-15-7.084456930383
Winsorized Mean ( 57 / 66 )-9.598988270909e-151.35493635789385e-15-7.084456930383
Winsorized Mean ( 58 / 66 )-9.598988270909e-151.35493635789385e-15-7.084456930383
Winsorized Mean ( 59 / 66 )-9.598988270909e-151.35493635789385e-15-7.084456930383
Winsorized Mean ( 60 / 66 )-9.598988270909e-151.35493635789385e-15-7.084456930383
Winsorized Mean ( 61 / 66 )-9.598988270909e-151.35493635789385e-15-7.084456930383
Winsorized Mean ( 62 / 66 )-9.598988270909e-151.35493635789385e-15-7.084456930383
Winsorized Mean ( 63 / 66 )-9.598988270909e-151.35493635789385e-15-7.084456930383
Winsorized Mean ( 64 / 66 )-9.598988270909e-151.35493635789385e-15-7.084456930383
Winsorized Mean ( 65 / 66 )-9.598988270909e-151.35493635789385e-15-7.084456930383
Winsorized Mean ( 66 / 66 )-9.598988270909e-151.35493635789385e-15-7.084456930383
Trimmed Mean ( 1 / 66 )-3.94416659305081e-060.000407958195240613-0.00966806559854632
Trimmed Mean ( 2 / 66 )-4.36583364047758e-050.000356214357943642-0.122561978289722
Trimmed Mean ( 3 / 66 )-4.42883510778715e-050.000342001504605545-0.129497532851361
Trimmed Mean ( 4 / 66 )-4.47496880682243e-050.000326536750042918-0.137043343704323
Trimmed Mean ( 5 / 66 )-4.52207374162688e-050.000309552317804111-0.146084312135195
Trimmed Mean ( 6 / 66 )-4.57018090908674e-050.000290742745317395-0.15718985194618
Trimmed Mean ( 7 / 66 )-6.74575893770272e-050.000275284553294547-0.245046765500313
Trimmed Mean ( 8 / 66 )-6.81908240442509e-050.00027175481235411-0.250927751577017
Trimmed Mean ( 9 / 66 )-6.89401737591059e-050.000267984668567832-0.257254171022309
Trimmed Mean ( 10 / 66 )-6.97061756898465e-050.000263953303396574-0.264085255963314
Trimmed Mean ( 11 / 66 )-7.04893911472577e-050.00025967155899306-0.271455955440778
Trimmed Mean ( 12 / 66 )-6.76350871027476e-050.000255695048767351-0.264514653016558
Trimmed Mean ( 13 / 66 )-6.84125018969423e-050.000252056641332412-0.271417176454081
Trimmed Mean ( 14 / 66 )-6.92079961049556e-050.000248154533958812-0.278890717815547
Trimmed Mean ( 15 / 66 )-7.00222078237457e-050.000243963989127958-0.287018621371285
Trimmed Mean ( 16 / 66 )-7.08558055358403e-050.000239456742416069-0.295902319646212
Trimmed Mean ( 17 / 66 )-7.17094899397926e-050.000234600257029543-0.305666715150965
Trimmed Mean ( 18 / 66 )-7.2583995914573e-050.000229356757511184-0.316467658080812
Trimmed Mean ( 19 / 66 )-7.34800946294714e-050.000223681955405694-0.328502558448222
Trimmed Mean ( 20 / 66 )-7.43985958122423e-050.000217523335309068-0.342025813950182
Trimmed Mean ( 21 / 66 )-7.53403501895137e-050.000210817796908727-0.357371869425863
Trimmed Mean ( 22 / 66 )-7.63062521149203e-050.000203488324618662-0.374990812165359
Trimmed Mean ( 23 / 66 )-7.72972424020258e-050.000195439136007182-0.395505444719042
Trimmed Mean ( 24 / 66 )-7.80018949748886e-050.000186627842395615-0.417954223622966
Trimmed Mean ( 25 / 66 )-7.87253382830278e-050.000176828769637203-0.445206616799672
Trimmed Mean ( 26 / 66 )-7.95838514479437e-050.000165982266289279-0.479472013650195
Trimmed Mean ( 27 / 66 )-8.04658855214875e-050.000153668912793231-0.523631514395878
Trimmed Mean ( 28 / 66 )-8.15834672643324e-050.000139524398997059-0.584725451969529
Trimmed Mean ( 29 / 66 )-8.15834672643324e-050.000122777863155367-0.664480266781432
Trimmed Mean ( 30 / 66 )-8.39144234708377e-050.000102078446224822-0.822058197143998
Trimmed Mean ( 31 / 66 )-8.51305745351012e-057.40705104597118e-05-1.14931804852898
Trimmed Mean ( 32 / 66 )-5.17082868014586e-055.19025162713803e-05-0.996257802436666
Trimmed Mean ( 33 / 66 )-2.90659656945957e-062.90659655782978e-06-1.00000000400117
Trimmed Mean ( 34 / 66 )-1.20173231635183e-142.13129066629166e-15-5.63851911594387
Trimmed Mean ( 35 / 66 )-1.21270514997516e-142.10770753523476e-15-5.75366899677609
Trimmed Mean ( 36 / 66 )-1.22402088464923e-142.08175558847248e-15-5.87975308641957
Trimmed Mean ( 37 / 66 )-1.23569584899548e-142.05317422685872e-15-6.01846561694889
Trimmed Mean ( 38 / 66 )-1.24774742509484e-142.02166249975175e-15-6.17188786579392
Trimmed Mean ( 39 / 66 )-1.26019413483681e-141.98687020216997e-15-6.3426092628521
Trimmed Mean ( 40 / 66 )-1.2730557349035e-141.9483862464037e-15-6.53389817985673
Trimmed Mean ( 41 / 66 )-1.28635332141314e-141.90572319073582e-15-6.74994840628699
Trimmed Mean ( 42 / 66 )-1.27713931384465e-141.89984520517594e-15-6.72233353730723
Trimmed Mean ( 43 / 66 )-1.26760200776499e-141.8928915587426e-15-6.69664356582068
Trimmed Mean ( 44 / 66 )-1.25772408361106e-141.88474412042817e-15-6.67318215761478
Trimmed Mean ( 45 / 66 )-1.24748696221517e-141.87526892366701e-15-6.6523096846065
Trimmed Mean ( 46 / 66 )-1.23687068817498e-141.86431343534475e-15-6.6344567642203
Trimmed Mean ( 47 / 66 )-1.22585380002007e-141.85170321771858e-15-6.62014186879474
Trimmed Mean ( 48 / 66 )-1.21441318539766e-141.83723781104973e-15-6.60999451510195
Trimmed Mean ( 49 / 66 )-1.20252391922143e-141.82068560335313e-15-6.60478622452313
Trimmed Mean ( 50 / 66 )-1.19015908239816e-141.80177736519905e-15-6.60547249280532
Trimmed Mean ( 51 / 66 )-1.17728955835761e-141.78019799740856e-15-6.61325066128256
Trimmed Mean ( 52 / 66 )-1.17174788390646e-141.77146084766935e-15-6.61458527546961
Trimmed Mean ( 53 / 66 )-1.16597039352122e-141.76107585235815e-15-6.62078462980419
Trimmed Mean ( 54 / 66 )-1.17442287778825e-141.76999819924857e-15-6.63516425207008
Trimmed Mean ( 55 / 66 )-1.18325102802271e-141.77875738947071e-15-6.65212150362338
Trimmed Mean ( 56 / 66 )-1.19248045781328e-141.7873084261692e-15-6.67193440344913
Trimmed Mean ( 57 / 66 )-1.19248045781328e-141.79559861298218e-15-6.64113042409171
Trimmed Mean ( 58 / 66 )-1.20213916340807e-141.80356611491359e-15-6.66534569189143
Trimmed Mean ( 59 / 66 )-1.22287004370906e-141.81113820589597e-15-6.75194217497117
Trimmed Mean ( 60 / 66 )-1.23401289187085e-141.818229122696e-15-6.78689432738324
Trimmed Mean ( 61 / 66 )-1.2457271681435e-141.82473742053829e-15-6.82688453759015
Trimmed Mean ( 62 / 66 )-1.2580579852726e-141.83054269292332e-15-6.87259570692406
Trimmed Mean ( 63 / 66 )-1.27105533305733e-141.83550147300261e-15-6.9248396242258
Trimmed Mean ( 64 / 66 )-1.28477475571899e-141.83944207120855e-15-6.98458938081628
Trimmed Mean ( 65 / 66 )-1.29927814538989e-141.84215801553727e-15-7.05302224039098
Trimmed Mean ( 66 / 66 )-1.31463467562966e-141.84339963447824e-15-7.1315771742667
Median-2.3980817331903e-14
Midrange-0.0195166153646
Midmean - Weighted Average at Xnp-1.49036338825681e-14
Midmean - Weighted Average at X(n+1)p-1.49036338825681e-14
Midmean - Empirical Distribution Function-1.49036338825681e-14
Midmean - Empirical Distribution Function - Averaging-1.49036338825681e-14
Midmean - Empirical Distribution Function - Interpolation-1.49036338825681e-14
Midmean - Closest Observation-1.49036338825681e-14
Midmean - True Basic - Statistics Graphics Toolkit-1.49036338825681e-14
Midmean - MS Excel (old versions)-1.49036338825681e-14
Number of observations200



Parameters (Session):
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')