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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, 29 Dec 2009 15:16:53 -0700
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2009/Dec/29/t1262125058cu2mh3nhzeee1q1.htm/, Retrieved Fri, 03 May 2024 12:15:24 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=71214, Retrieved Fri, 03 May 2024 12:15:24 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact108
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Central Tendency] [] [2009-12-29 22:16:53] [71596e6a53ccce532e52aaf6113616ef] [Current]
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Dataseries X:
-0.357487876856165 
1.03213322243711 
4.69825491312001 
0.474482569950477 
-2.62579843861073 
1.65688504751995 
-0.254966692995566 
3.19914260597389 
-0.539355714404328 
-2.91247481025789 
-0.339403100442276 
2.45177061301795 
-1.71128871238477 
-4.1065766358034 
-5.30195185290025 
2.32936026002719 
2.44309617725562 
6.22114147701846 
-5.95778641803127 
-0.160348177380264 
0.154044602743691 
-0.857210205336665 
4.33657892258829 
2.63195760000889 
2.30463277484981 
-1.43427032431387 
5.09383487829321 
-5.61906233899656 
4.99928693817776 
-1.38048337807612 
-1.34407614361804 
-1.71801644720189 
-0.0431838313728479 
3.79444564624234 
1.73516060338679 
-1.964361621547 
0.471717645931308 
-0.716355767477998 
1.70195590809979 
-3.97017217819589 
0.700753376028875 
0.61044654955841 
0.696412596531601 
0.730219893737894 
-6.1045219371015 
3.65945261733721 
1.79296060841843 
-2.71630722407563 
2.8757768775632 
6.25180067953198 
-6.2419699091405 
0.877172525362433 
-0.770109318159862 
-0.224805258776711 
-2.18287831117144 
-3.30662042655882 
-0.195635680452197 
-2.59851771707927 
-8.5384204472266 
-6.70158583391307 
-5.55391206156227 
1.00609675163605 
1.30702972711866 
-2.40828385514109 
-2.45793464433710 
-0.487718111121879 
6.88814125508179 
1.92128327552705 
-2.46203300431787 




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 1 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=71214&T=0

[TABLE]
[ROW][C]Summary of computational transaction[/C][/ROW]
[ROW][C]Raw Input[/C][C]view raw input (R code) [/C][/ROW]
[ROW][C]Raw Output[/C][C]view raw output of R engine [/C][/ROW]
[ROW][C]Computing time[/C][C]1 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Gwilym Jenkins' @ 72.249.127.135[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=71214&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=71214&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 time1 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135







Central Tendency - Ungrouped Data
MeasureValueS.E.Value/S.E.
Arithmetic Mean-0.2205573226994710.398796659471378-0.55305709679672
Geometric MeanNaN
Harmonic Mean-1.83387701306634
Quadratic Mean3.29594937366648
Winsorized Mean ( 1 / 23 )-0.2031588583840540.389100147375002-0.522124855913397
Winsorized Mean ( 2 / 23 )-0.1907253302026330.38570987344445-0.494478734753211
Winsorized Mean ( 3 / 23 )-0.2337626617976870.373179248742583-0.626408522406709
Winsorized Mean ( 4 / 23 )-0.2307372949017580.370082357494116-0.623475532484487
Winsorized Mean ( 5 / 23 )-0.2280059866425580.360124569371221-0.633130883129293
Winsorized Mean ( 6 / 23 )-0.2537908312597260.352700360553624-0.719564989560423
Winsorized Mean ( 7 / 23 )-0.2832286787059210.336909334333816-0.840667354218489
Winsorized Mean ( 8 / 23 )-0.1602858163068810.305643792123986-0.524420323386973
Winsorized Mean ( 9 / 23 )-0.2025343667967700.291588207132138-0.694590390978974
Winsorized Mean ( 10 / 23 )-0.1532320445900480.266090020297379-0.5758654323781
Winsorized Mean ( 11 / 23 )-0.129266976094210.249014982112620-0.519113247715142
Winsorized Mean ( 12 / 23 )-0.1264877414522410.238436881331341-0.530487317003903
Winsorized Mean ( 13 / 23 )-0.1110696755662500.235475528432779-0.471682455945553
Winsorized Mean ( 14 / 23 )-0.128611309475780.230958930057679-0.556857920339608
Winsorized Mean ( 15 / 23 )-0.1043162600009930.225501307803821-0.462597139754705
Winsorized Mean ( 16 / 23 )-0.1922585531817440.211835367248435-0.907584770565098
Winsorized Mean ( 17 / 23 )-0.2116414796239820.205321210467470-1.03078234899415
Winsorized Mean ( 18 / 23 )-0.1679182955531960.194032024862980-0.865415364663519
Winsorized Mean ( 19 / 23 )-0.1168903550834660.183657885590542-0.636457044616472
Winsorized Mean ( 20 / 23 )-0.05854997428193890.171373010597085-0.341652247795282
Winsorized Mean ( 21 / 23 )-0.1629801090249470.155833866350091-1.04585808490949
Winsorized Mean ( 22 / 23 )-0.1623035664950090.131097816751013-1.23803409177488
Winsorized Mean ( 23 / 23 )-0.1530534080161130.127386243876532-1.20149086242356
Trimmed Mean ( 1 / 23 )-0.2025100906584880.376391634791230-0.538030264064749
Trimmed Mean ( 2 / 23 )-0.2018213987651940.361145189338936-0.55883728960815
Trimmed Mean ( 3 / 23 )-0.2078978172637390.344970206014229-0.602654413741352
Trimmed Mean ( 4 / 23 )-0.1981454988329060.331393401725391-0.597916246374449
Trimmed Mean ( 5 / 23 )-0.1886165415076900.31602203212782-0.596846176317864
Trimmed Mean ( 6 / 23 )-0.179080149527670.300572993274313-0.595795874994781
Trimmed Mean ( 7 / 23 )-0.1634588251655130.283725236012601-0.57611662417739
Trimmed Mean ( 8 / 23 )-0.1411835693857600.267351149565667-0.528082896277514
Trimmed Mean ( 9 / 23 )-0.1379530423329240.25577249557416-0.539358393572560
Trimmed Mean ( 10 / 23 )-0.127848481362390.244838545586631-0.522174648015761
Trimmed Mean ( 11 / 23 )-0.127848481362390.237417670879924-0.538496064292749
Trimmed Mean ( 12 / 23 )-0.1234047739447220.231916553653325-0.532108519209848
Trimmed Mean ( 13 / 23 )-0.1229925166617400.22709610717676-0.541587956705963
Trimmed Mean ( 14 / 23 )-0.1245359989048710.221264719667788-0.562837126008395
Trimmed Mean ( 15 / 23 )-0.1240209871294260.214439989029801-0.578348225489746
Trimmed Mean ( 16 / 23 )-0.1264707640156640.206472156435631-0.612531811547635
Trimmed Mean ( 17 / 23 )-0.1183647685648430.199058372968201-0.594623410208177
Trimmed Mean ( 18 / 23 )-0.1068922319105110.190323695334325-0.56163386131581
Trimmed Mean ( 19 / 23 )-0.09934599823426450.181235191299519-0.548160638791613
Trimmed Mean ( 20 / 23 )-0.09714897351086170.171288399140388-0.567166101139391
Trimmed Mean ( 21 / 23 )-0.1020810678567800.160658126648429-0.635393116964232
Trimmed Mean ( 22 / 23 )-0.1020810678567800.150236489144906-0.679469205103164
Trimmed Mean ( 23 / 23 )-0.08477359760826870.143888291547437-0.589162583672214
Median-0.195635680452197
Midrange-0.825139596072404
Midmean - Weighted Average at Xnp-0.174580220829057
Midmean - Weighted Average at X(n+1)p-0.118364768564843
Midmean - Empirical Distribution Function-0.118364768564843
Midmean - Empirical Distribution Function - Averaging-0.118364768564843
Midmean - Empirical Distribution Function - Interpolation-0.118364768564843
Midmean - Closest Observation-0.183352820669628
Midmean - True Basic - Statistics Graphics Toolkit-0.118364768564843
Midmean - MS Excel (old versions)-0.118364768564843
Number of observations69

\begin{tabular}{lllllllll}
\hline
Central Tendency - Ungrouped Data \tabularnewline
Measure & Value & S.E. & Value/S.E. \tabularnewline
Arithmetic Mean & -0.220557322699471 & 0.398796659471378 & -0.55305709679672 \tabularnewline
Geometric Mean & NaN &  &  \tabularnewline
Harmonic Mean & -1.83387701306634 &  &  \tabularnewline
Quadratic Mean & 3.29594937366648 &  &  \tabularnewline
Winsorized Mean ( 1 / 23 ) & -0.203158858384054 & 0.389100147375002 & -0.522124855913397 \tabularnewline
Winsorized Mean ( 2 / 23 ) & -0.190725330202633 & 0.38570987344445 & -0.494478734753211 \tabularnewline
Winsorized Mean ( 3 / 23 ) & -0.233762661797687 & 0.373179248742583 & -0.626408522406709 \tabularnewline
Winsorized Mean ( 4 / 23 ) & -0.230737294901758 & 0.370082357494116 & -0.623475532484487 \tabularnewline
Winsorized Mean ( 5 / 23 ) & -0.228005986642558 & 0.360124569371221 & -0.633130883129293 \tabularnewline
Winsorized Mean ( 6 / 23 ) & -0.253790831259726 & 0.352700360553624 & -0.719564989560423 \tabularnewline
Winsorized Mean ( 7 / 23 ) & -0.283228678705921 & 0.336909334333816 & -0.840667354218489 \tabularnewline
Winsorized Mean ( 8 / 23 ) & -0.160285816306881 & 0.305643792123986 & -0.524420323386973 \tabularnewline
Winsorized Mean ( 9 / 23 ) & -0.202534366796770 & 0.291588207132138 & -0.694590390978974 \tabularnewline
Winsorized Mean ( 10 / 23 ) & -0.153232044590048 & 0.266090020297379 & -0.5758654323781 \tabularnewline
Winsorized Mean ( 11 / 23 ) & -0.12926697609421 & 0.249014982112620 & -0.519113247715142 \tabularnewline
Winsorized Mean ( 12 / 23 ) & -0.126487741452241 & 0.238436881331341 & -0.530487317003903 \tabularnewline
Winsorized Mean ( 13 / 23 ) & -0.111069675566250 & 0.235475528432779 & -0.471682455945553 \tabularnewline
Winsorized Mean ( 14 / 23 ) & -0.12861130947578 & 0.230958930057679 & -0.556857920339608 \tabularnewline
Winsorized Mean ( 15 / 23 ) & -0.104316260000993 & 0.225501307803821 & -0.462597139754705 \tabularnewline
Winsorized Mean ( 16 / 23 ) & -0.192258553181744 & 0.211835367248435 & -0.907584770565098 \tabularnewline
Winsorized Mean ( 17 / 23 ) & -0.211641479623982 & 0.205321210467470 & -1.03078234899415 \tabularnewline
Winsorized Mean ( 18 / 23 ) & -0.167918295553196 & 0.194032024862980 & -0.865415364663519 \tabularnewline
Winsorized Mean ( 19 / 23 ) & -0.116890355083466 & 0.183657885590542 & -0.636457044616472 \tabularnewline
Winsorized Mean ( 20 / 23 ) & -0.0585499742819389 & 0.171373010597085 & -0.341652247795282 \tabularnewline
Winsorized Mean ( 21 / 23 ) & -0.162980109024947 & 0.155833866350091 & -1.04585808490949 \tabularnewline
Winsorized Mean ( 22 / 23 ) & -0.162303566495009 & 0.131097816751013 & -1.23803409177488 \tabularnewline
Winsorized Mean ( 23 / 23 ) & -0.153053408016113 & 0.127386243876532 & -1.20149086242356 \tabularnewline
Trimmed Mean ( 1 / 23 ) & -0.202510090658488 & 0.376391634791230 & -0.538030264064749 \tabularnewline
Trimmed Mean ( 2 / 23 ) & -0.201821398765194 & 0.361145189338936 & -0.55883728960815 \tabularnewline
Trimmed Mean ( 3 / 23 ) & -0.207897817263739 & 0.344970206014229 & -0.602654413741352 \tabularnewline
Trimmed Mean ( 4 / 23 ) & -0.198145498832906 & 0.331393401725391 & -0.597916246374449 \tabularnewline
Trimmed Mean ( 5 / 23 ) & -0.188616541507690 & 0.31602203212782 & -0.596846176317864 \tabularnewline
Trimmed Mean ( 6 / 23 ) & -0.17908014952767 & 0.300572993274313 & -0.595795874994781 \tabularnewline
Trimmed Mean ( 7 / 23 ) & -0.163458825165513 & 0.283725236012601 & -0.57611662417739 \tabularnewline
Trimmed Mean ( 8 / 23 ) & -0.141183569385760 & 0.267351149565667 & -0.528082896277514 \tabularnewline
Trimmed Mean ( 9 / 23 ) & -0.137953042332924 & 0.25577249557416 & -0.539358393572560 \tabularnewline
Trimmed Mean ( 10 / 23 ) & -0.12784848136239 & 0.244838545586631 & -0.522174648015761 \tabularnewline
Trimmed Mean ( 11 / 23 ) & -0.12784848136239 & 0.237417670879924 & -0.538496064292749 \tabularnewline
Trimmed Mean ( 12 / 23 ) & -0.123404773944722 & 0.231916553653325 & -0.532108519209848 \tabularnewline
Trimmed Mean ( 13 / 23 ) & -0.122992516661740 & 0.22709610717676 & -0.541587956705963 \tabularnewline
Trimmed Mean ( 14 / 23 ) & -0.124535998904871 & 0.221264719667788 & -0.562837126008395 \tabularnewline
Trimmed Mean ( 15 / 23 ) & -0.124020987129426 & 0.214439989029801 & -0.578348225489746 \tabularnewline
Trimmed Mean ( 16 / 23 ) & -0.126470764015664 & 0.206472156435631 & -0.612531811547635 \tabularnewline
Trimmed Mean ( 17 / 23 ) & -0.118364768564843 & 0.199058372968201 & -0.594623410208177 \tabularnewline
Trimmed Mean ( 18 / 23 ) & -0.106892231910511 & 0.190323695334325 & -0.56163386131581 \tabularnewline
Trimmed Mean ( 19 / 23 ) & -0.0993459982342645 & 0.181235191299519 & -0.548160638791613 \tabularnewline
Trimmed Mean ( 20 / 23 ) & -0.0971489735108617 & 0.171288399140388 & -0.567166101139391 \tabularnewline
Trimmed Mean ( 21 / 23 ) & -0.102081067856780 & 0.160658126648429 & -0.635393116964232 \tabularnewline
Trimmed Mean ( 22 / 23 ) & -0.102081067856780 & 0.150236489144906 & -0.679469205103164 \tabularnewline
Trimmed Mean ( 23 / 23 ) & -0.0847735976082687 & 0.143888291547437 & -0.589162583672214 \tabularnewline
Median & -0.195635680452197 &  &  \tabularnewline
Midrange & -0.825139596072404 &  &  \tabularnewline
Midmean - Weighted Average at Xnp & -0.174580220829057 &  &  \tabularnewline
Midmean - Weighted Average at X(n+1)p & -0.118364768564843 &  &  \tabularnewline
Midmean - Empirical Distribution Function & -0.118364768564843 &  &  \tabularnewline
Midmean - Empirical Distribution Function - Averaging & -0.118364768564843 &  &  \tabularnewline
Midmean - Empirical Distribution Function - Interpolation & -0.118364768564843 &  &  \tabularnewline
Midmean - Closest Observation & -0.183352820669628 &  &  \tabularnewline
Midmean - True Basic - Statistics Graphics Toolkit & -0.118364768564843 &  &  \tabularnewline
Midmean - MS Excel (old versions) & -0.118364768564843 &  &  \tabularnewline
Number of observations & 69 &  &  \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=71214&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]-0.220557322699471[/C][C]0.398796659471378[/C][C]-0.55305709679672[/C][/ROW]
[ROW][C]Geometric Mean[/C][C]NaN[/C][C][/C][C][/C][/ROW]
[ROW][C]Harmonic Mean[/C][C]-1.83387701306634[/C][C][/C][C][/C][/ROW]
[ROW][C]Quadratic Mean[/C][C]3.29594937366648[/C][C][/C][C][/C][/ROW]
[ROW][C]Winsorized Mean ( 1 / 23 )[/C][C]-0.203158858384054[/C][C]0.389100147375002[/C][C]-0.522124855913397[/C][/ROW]
[ROW][C]Winsorized Mean ( 2 / 23 )[/C][C]-0.190725330202633[/C][C]0.38570987344445[/C][C]-0.494478734753211[/C][/ROW]
[ROW][C]Winsorized Mean ( 3 / 23 )[/C][C]-0.233762661797687[/C][C]0.373179248742583[/C][C]-0.626408522406709[/C][/ROW]
[ROW][C]Winsorized Mean ( 4 / 23 )[/C][C]-0.230737294901758[/C][C]0.370082357494116[/C][C]-0.623475532484487[/C][/ROW]
[ROW][C]Winsorized Mean ( 5 / 23 )[/C][C]-0.228005986642558[/C][C]0.360124569371221[/C][C]-0.633130883129293[/C][/ROW]
[ROW][C]Winsorized Mean ( 6 / 23 )[/C][C]-0.253790831259726[/C][C]0.352700360553624[/C][C]-0.719564989560423[/C][/ROW]
[ROW][C]Winsorized Mean ( 7 / 23 )[/C][C]-0.283228678705921[/C][C]0.336909334333816[/C][C]-0.840667354218489[/C][/ROW]
[ROW][C]Winsorized Mean ( 8 / 23 )[/C][C]-0.160285816306881[/C][C]0.305643792123986[/C][C]-0.524420323386973[/C][/ROW]
[ROW][C]Winsorized Mean ( 9 / 23 )[/C][C]-0.202534366796770[/C][C]0.291588207132138[/C][C]-0.694590390978974[/C][/ROW]
[ROW][C]Winsorized Mean ( 10 / 23 )[/C][C]-0.153232044590048[/C][C]0.266090020297379[/C][C]-0.5758654323781[/C][/ROW]
[ROW][C]Winsorized Mean ( 11 / 23 )[/C][C]-0.12926697609421[/C][C]0.249014982112620[/C][C]-0.519113247715142[/C][/ROW]
[ROW][C]Winsorized Mean ( 12 / 23 )[/C][C]-0.126487741452241[/C][C]0.238436881331341[/C][C]-0.530487317003903[/C][/ROW]
[ROW][C]Winsorized Mean ( 13 / 23 )[/C][C]-0.111069675566250[/C][C]0.235475528432779[/C][C]-0.471682455945553[/C][/ROW]
[ROW][C]Winsorized Mean ( 14 / 23 )[/C][C]-0.12861130947578[/C][C]0.230958930057679[/C][C]-0.556857920339608[/C][/ROW]
[ROW][C]Winsorized Mean ( 15 / 23 )[/C][C]-0.104316260000993[/C][C]0.225501307803821[/C][C]-0.462597139754705[/C][/ROW]
[ROW][C]Winsorized Mean ( 16 / 23 )[/C][C]-0.192258553181744[/C][C]0.211835367248435[/C][C]-0.907584770565098[/C][/ROW]
[ROW][C]Winsorized Mean ( 17 / 23 )[/C][C]-0.211641479623982[/C][C]0.205321210467470[/C][C]-1.03078234899415[/C][/ROW]
[ROW][C]Winsorized Mean ( 18 / 23 )[/C][C]-0.167918295553196[/C][C]0.194032024862980[/C][C]-0.865415364663519[/C][/ROW]
[ROW][C]Winsorized Mean ( 19 / 23 )[/C][C]-0.116890355083466[/C][C]0.183657885590542[/C][C]-0.636457044616472[/C][/ROW]
[ROW][C]Winsorized Mean ( 20 / 23 )[/C][C]-0.0585499742819389[/C][C]0.171373010597085[/C][C]-0.341652247795282[/C][/ROW]
[ROW][C]Winsorized Mean ( 21 / 23 )[/C][C]-0.162980109024947[/C][C]0.155833866350091[/C][C]-1.04585808490949[/C][/ROW]
[ROW][C]Winsorized Mean ( 22 / 23 )[/C][C]-0.162303566495009[/C][C]0.131097816751013[/C][C]-1.23803409177488[/C][/ROW]
[ROW][C]Winsorized Mean ( 23 / 23 )[/C][C]-0.153053408016113[/C][C]0.127386243876532[/C][C]-1.20149086242356[/C][/ROW]
[ROW][C]Trimmed Mean ( 1 / 23 )[/C][C]-0.202510090658488[/C][C]0.376391634791230[/C][C]-0.538030264064749[/C][/ROW]
[ROW][C]Trimmed Mean ( 2 / 23 )[/C][C]-0.201821398765194[/C][C]0.361145189338936[/C][C]-0.55883728960815[/C][/ROW]
[ROW][C]Trimmed Mean ( 3 / 23 )[/C][C]-0.207897817263739[/C][C]0.344970206014229[/C][C]-0.602654413741352[/C][/ROW]
[ROW][C]Trimmed Mean ( 4 / 23 )[/C][C]-0.198145498832906[/C][C]0.331393401725391[/C][C]-0.597916246374449[/C][/ROW]
[ROW][C]Trimmed Mean ( 5 / 23 )[/C][C]-0.188616541507690[/C][C]0.31602203212782[/C][C]-0.596846176317864[/C][/ROW]
[ROW][C]Trimmed Mean ( 6 / 23 )[/C][C]-0.17908014952767[/C][C]0.300572993274313[/C][C]-0.595795874994781[/C][/ROW]
[ROW][C]Trimmed Mean ( 7 / 23 )[/C][C]-0.163458825165513[/C][C]0.283725236012601[/C][C]-0.57611662417739[/C][/ROW]
[ROW][C]Trimmed Mean ( 8 / 23 )[/C][C]-0.141183569385760[/C][C]0.267351149565667[/C][C]-0.528082896277514[/C][/ROW]
[ROW][C]Trimmed Mean ( 9 / 23 )[/C][C]-0.137953042332924[/C][C]0.25577249557416[/C][C]-0.539358393572560[/C][/ROW]
[ROW][C]Trimmed Mean ( 10 / 23 )[/C][C]-0.12784848136239[/C][C]0.244838545586631[/C][C]-0.522174648015761[/C][/ROW]
[ROW][C]Trimmed Mean ( 11 / 23 )[/C][C]-0.12784848136239[/C][C]0.237417670879924[/C][C]-0.538496064292749[/C][/ROW]
[ROW][C]Trimmed Mean ( 12 / 23 )[/C][C]-0.123404773944722[/C][C]0.231916553653325[/C][C]-0.532108519209848[/C][/ROW]
[ROW][C]Trimmed Mean ( 13 / 23 )[/C][C]-0.122992516661740[/C][C]0.22709610717676[/C][C]-0.541587956705963[/C][/ROW]
[ROW][C]Trimmed Mean ( 14 / 23 )[/C][C]-0.124535998904871[/C][C]0.221264719667788[/C][C]-0.562837126008395[/C][/ROW]
[ROW][C]Trimmed Mean ( 15 / 23 )[/C][C]-0.124020987129426[/C][C]0.214439989029801[/C][C]-0.578348225489746[/C][/ROW]
[ROW][C]Trimmed Mean ( 16 / 23 )[/C][C]-0.126470764015664[/C][C]0.206472156435631[/C][C]-0.612531811547635[/C][/ROW]
[ROW][C]Trimmed Mean ( 17 / 23 )[/C][C]-0.118364768564843[/C][C]0.199058372968201[/C][C]-0.594623410208177[/C][/ROW]
[ROW][C]Trimmed Mean ( 18 / 23 )[/C][C]-0.106892231910511[/C][C]0.190323695334325[/C][C]-0.56163386131581[/C][/ROW]
[ROW][C]Trimmed Mean ( 19 / 23 )[/C][C]-0.0993459982342645[/C][C]0.181235191299519[/C][C]-0.548160638791613[/C][/ROW]
[ROW][C]Trimmed Mean ( 20 / 23 )[/C][C]-0.0971489735108617[/C][C]0.171288399140388[/C][C]-0.567166101139391[/C][/ROW]
[ROW][C]Trimmed Mean ( 21 / 23 )[/C][C]-0.102081067856780[/C][C]0.160658126648429[/C][C]-0.635393116964232[/C][/ROW]
[ROW][C]Trimmed Mean ( 22 / 23 )[/C][C]-0.102081067856780[/C][C]0.150236489144906[/C][C]-0.679469205103164[/C][/ROW]
[ROW][C]Trimmed Mean ( 23 / 23 )[/C][C]-0.0847735976082687[/C][C]0.143888291547437[/C][C]-0.589162583672214[/C][/ROW]
[ROW][C]Median[/C][C]-0.195635680452197[/C][C][/C][C][/C][/ROW]
[ROW][C]Midrange[/C][C]-0.825139596072404[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - Weighted Average at Xnp[/C][C]-0.174580220829057[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - Weighted Average at X(n+1)p[/C][C]-0.118364768564843[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - Empirical Distribution Function[/C][C]-0.118364768564843[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - Empirical Distribution Function - Averaging[/C][C]-0.118364768564843[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - Empirical Distribution Function - Interpolation[/C][C]-0.118364768564843[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - Closest Observation[/C][C]-0.183352820669628[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - True Basic - Statistics Graphics Toolkit[/C][C]-0.118364768564843[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - MS Excel (old versions)[/C][C]-0.118364768564843[/C][C][/C][C][/C][/ROW]
[ROW][C]Number of observations[/C][C]69[/C][C][/C][C][/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=71214&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=71214&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-0.2205573226994710.398796659471378-0.55305709679672
Geometric MeanNaN
Harmonic Mean-1.83387701306634
Quadratic Mean3.29594937366648
Winsorized Mean ( 1 / 23 )-0.2031588583840540.389100147375002-0.522124855913397
Winsorized Mean ( 2 / 23 )-0.1907253302026330.38570987344445-0.494478734753211
Winsorized Mean ( 3 / 23 )-0.2337626617976870.373179248742583-0.626408522406709
Winsorized Mean ( 4 / 23 )-0.2307372949017580.370082357494116-0.623475532484487
Winsorized Mean ( 5 / 23 )-0.2280059866425580.360124569371221-0.633130883129293
Winsorized Mean ( 6 / 23 )-0.2537908312597260.352700360553624-0.719564989560423
Winsorized Mean ( 7 / 23 )-0.2832286787059210.336909334333816-0.840667354218489
Winsorized Mean ( 8 / 23 )-0.1602858163068810.305643792123986-0.524420323386973
Winsorized Mean ( 9 / 23 )-0.2025343667967700.291588207132138-0.694590390978974
Winsorized Mean ( 10 / 23 )-0.1532320445900480.266090020297379-0.5758654323781
Winsorized Mean ( 11 / 23 )-0.129266976094210.249014982112620-0.519113247715142
Winsorized Mean ( 12 / 23 )-0.1264877414522410.238436881331341-0.530487317003903
Winsorized Mean ( 13 / 23 )-0.1110696755662500.235475528432779-0.471682455945553
Winsorized Mean ( 14 / 23 )-0.128611309475780.230958930057679-0.556857920339608
Winsorized Mean ( 15 / 23 )-0.1043162600009930.225501307803821-0.462597139754705
Winsorized Mean ( 16 / 23 )-0.1922585531817440.211835367248435-0.907584770565098
Winsorized Mean ( 17 / 23 )-0.2116414796239820.205321210467470-1.03078234899415
Winsorized Mean ( 18 / 23 )-0.1679182955531960.194032024862980-0.865415364663519
Winsorized Mean ( 19 / 23 )-0.1168903550834660.183657885590542-0.636457044616472
Winsorized Mean ( 20 / 23 )-0.05854997428193890.171373010597085-0.341652247795282
Winsorized Mean ( 21 / 23 )-0.1629801090249470.155833866350091-1.04585808490949
Winsorized Mean ( 22 / 23 )-0.1623035664950090.131097816751013-1.23803409177488
Winsorized Mean ( 23 / 23 )-0.1530534080161130.127386243876532-1.20149086242356
Trimmed Mean ( 1 / 23 )-0.2025100906584880.376391634791230-0.538030264064749
Trimmed Mean ( 2 / 23 )-0.2018213987651940.361145189338936-0.55883728960815
Trimmed Mean ( 3 / 23 )-0.2078978172637390.344970206014229-0.602654413741352
Trimmed Mean ( 4 / 23 )-0.1981454988329060.331393401725391-0.597916246374449
Trimmed Mean ( 5 / 23 )-0.1886165415076900.31602203212782-0.596846176317864
Trimmed Mean ( 6 / 23 )-0.179080149527670.300572993274313-0.595795874994781
Trimmed Mean ( 7 / 23 )-0.1634588251655130.283725236012601-0.57611662417739
Trimmed Mean ( 8 / 23 )-0.1411835693857600.267351149565667-0.528082896277514
Trimmed Mean ( 9 / 23 )-0.1379530423329240.25577249557416-0.539358393572560
Trimmed Mean ( 10 / 23 )-0.127848481362390.244838545586631-0.522174648015761
Trimmed Mean ( 11 / 23 )-0.127848481362390.237417670879924-0.538496064292749
Trimmed Mean ( 12 / 23 )-0.1234047739447220.231916553653325-0.532108519209848
Trimmed Mean ( 13 / 23 )-0.1229925166617400.22709610717676-0.541587956705963
Trimmed Mean ( 14 / 23 )-0.1245359989048710.221264719667788-0.562837126008395
Trimmed Mean ( 15 / 23 )-0.1240209871294260.214439989029801-0.578348225489746
Trimmed Mean ( 16 / 23 )-0.1264707640156640.206472156435631-0.612531811547635
Trimmed Mean ( 17 / 23 )-0.1183647685648430.199058372968201-0.594623410208177
Trimmed Mean ( 18 / 23 )-0.1068922319105110.190323695334325-0.56163386131581
Trimmed Mean ( 19 / 23 )-0.09934599823426450.181235191299519-0.548160638791613
Trimmed Mean ( 20 / 23 )-0.09714897351086170.171288399140388-0.567166101139391
Trimmed Mean ( 21 / 23 )-0.1020810678567800.160658126648429-0.635393116964232
Trimmed Mean ( 22 / 23 )-0.1020810678567800.150236489144906-0.679469205103164
Trimmed Mean ( 23 / 23 )-0.08477359760826870.143888291547437-0.589162583672214
Median-0.195635680452197
Midrange-0.825139596072404
Midmean - Weighted Average at Xnp-0.174580220829057
Midmean - Weighted Average at X(n+1)p-0.118364768564843
Midmean - Empirical Distribution Function-0.118364768564843
Midmean - Empirical Distribution Function - Averaging-0.118364768564843
Midmean - Empirical Distribution Function - Interpolation-0.118364768564843
Midmean - Closest Observation-0.183352820669628
Midmean - True Basic - Statistics Graphics Toolkit-0.118364768564843
Midmean - MS Excel (old versions)-0.118364768564843
Number of observations69



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')