Free Statistics

of Irreproducible Research!

Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_centraltendency.wasp
Title produced by softwareCentral Tendency
Date of computationWed, 17 Nov 2010 08:42:10 +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/17/t128998328953tqdpsvgxjpjqq.htm/, Retrieved Fri, 29 Mar 2024 13:58:28 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=96529, Retrieved Fri, 29 Mar 2024 13:58:28 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact182
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Central Tendency] [Arabica Price in ...] [2008-01-06 21:28:17] [74be16979710d4c4e7c6647856088456]
-  M D  [Central Tendency] [ws6tut] [2010-11-13 11:37:47] [c7506ced21a6c0dca45d37c8a93c80e0]
-    D    [Central Tendency] [ws6tut] [2010-11-13 15:04:19] [4a7069087cf9e0eda253aeed7d8c30d6]
F    D        [Central Tendency] [mini tutorial sam...] [2010-11-17 08:42:10] [2e49bff66bb3e1f5d7fa8957e12fbb12] [Current]
Feedback Forum
2010-11-20 14:08:30 [48eb36e2c01435ad7e4ea7854a9d98fe] [reply
Naar mijn mening is de uitleg die hier gegeven wordt door de student niet helemaal duidelijk.

Waarom bepaalt de student eerst het winsorized gemiddelde om vervolgens, zonder verdere uitleg, toch verder te werken met het rekenkundig gemiddelde?
Daarnaast is het ook niet geheel duidelijk waar de student de waarde van de standaardfout vandaan haalt en waarop hij of zij zich baseert voor de berekening van het 95% betrouwbaarheidsinterval.

Als tip naar de finale paper toe, zou ik dus willen zeggen dat de student hieraan best iets maar aandacht aan besteedt.

Post a new message
Dataseries X:
2
1
4
2
2
2
2
2
1
4
2
3
2
2
1
3
1
2
4
4
3
2
3
2
2
3
3
2
4
2
2
3
5
2
3
1
2
2
4
2
4
3
2
4
2
2
2
2
2
3
1
2
2
1
5
2
2
2
1
2
2
2
4
2
1
2
2
2
1
2
2
2
3
3
2
2
3
2
2
2
2
2
1
3
2
4
2
1
4
3
2
3
2
3
2
5
3
4
2
2
2
3
4
3
2
2
3
2
2
2
2
3
2
4
1
2
4
2
2
1
1
3
3
1
1
3
1
2
3
2
2
2
2
2
2
4
2
2
3
2
2
4
4
1
3
2
4
2
1
2
2
3
5
2
4
2
2
3
4




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 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 & 2 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=96529&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]2 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=96529&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=96529&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 time2 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135







Central Tendency - Ungrouped Data
MeasureValueS.E.Value/S.E.
Arithmetic Mean2.402515723270440.075772957103507631.706770002239
Geometric Mean2.21900919243184
Harmonic Mean2.03715566944267
Quadratic Mean2.58442358815634
Winsorized Mean ( 1 / 53 )2.402515723270440.075772957103507631.706770002239
Winsorized Mean ( 2 / 53 )2.402515723270440.075772957103507631.706770002239
Winsorized Mean ( 3 / 53 )2.402515723270440.075772957103507631.706770002239
Winsorized Mean ( 4 / 53 )2.377358490566040.071201123409428433.389339616111
Winsorized Mean ( 5 / 53 )2.377358490566040.071201123409428433.389339616111
Winsorized Mean ( 6 / 53 )2.377358490566040.071201123409428433.389339616111
Winsorized Mean ( 7 / 53 )2.377358490566040.071201123409428433.389339616111
Winsorized Mean ( 8 / 53 )2.377358490566040.071201123409428433.389339616111
Winsorized Mean ( 9 / 53 )2.377358490566040.071201123409428433.389339616111
Winsorized Mean ( 10 / 53 )2.377358490566040.071201123409428433.389339616111
Winsorized Mean ( 11 / 53 )2.377358490566040.071201123409428433.389339616111
Winsorized Mean ( 12 / 53 )2.377358490566040.071201123409428433.389339616111
Winsorized Mean ( 13 / 53 )2.377358490566040.071201123409428433.389339616111
Winsorized Mean ( 14 / 53 )2.377358490566040.071201123409428433.389339616111
Winsorized Mean ( 15 / 53 )2.377358490566040.071201123409428433.389339616111
Winsorized Mean ( 16 / 53 )2.377358490566040.071201123409428433.389339616111
Winsorized Mean ( 17 / 53 )2.377358490566040.071201123409428433.389339616111
Winsorized Mean ( 18 / 53 )2.377358490566040.071201123409428433.389339616111
Winsorized Mean ( 19 / 53 )2.377358490566040.071201123409428433.389339616111
Winsorized Mean ( 20 / 53 )2.503144654088050.059770421538239541.8793207353675
Winsorized Mean ( 21 / 53 )2.503144654088050.059770421538239541.8793207353675
Winsorized Mean ( 22 / 53 )2.503144654088050.059770421538239541.8793207353675
Winsorized Mean ( 23 / 53 )2.503144654088050.059770421538239541.8793207353675
Winsorized Mean ( 24 / 53 )2.503144654088050.059770421538239541.8793207353675
Winsorized Mean ( 25 / 53 )2.345911949685530.037841848841408361.9925300034107
Winsorized Mean ( 26 / 53 )2.345911949685530.037841848841408361.9925300034107
Winsorized Mean ( 27 / 53 )2.345911949685530.037841848841408361.9925300034107
Winsorized Mean ( 28 / 53 )2.345911949685530.037841848841408361.9925300034107
Winsorized Mean ( 29 / 53 )2.345911949685530.037841848841408361.9925300034107
Winsorized Mean ( 30 / 53 )2.345911949685530.037841848841408361.9925300034107
Winsorized Mean ( 31 / 53 )2.345911949685530.037841848841408361.9925300034107
Winsorized Mean ( 32 / 53 )2.345911949685530.037841848841408361.9925300034107
Winsorized Mean ( 33 / 53 )2.345911949685530.037841848841408361.9925300034107
Winsorized Mean ( 34 / 53 )2.345911949685530.037841848841408361.9925300034107
Winsorized Mean ( 35 / 53 )2.345911949685530.037841848841408361.9925300034107
Winsorized Mean ( 36 / 53 )2.345911949685530.037841848841408361.9925300034107
Winsorized Mean ( 37 / 53 )2.345911949685530.037841848841408361.9925300034107
Winsorized Mean ( 38 / 53 )2.345911949685530.037841848841408361.9925300034107
Winsorized Mean ( 39 / 53 )2.345911949685530.037841848841408361.9925300034107
Winsorized Mean ( 40 / 53 )2.345911949685530.037841848841408361.9925300034107
Winsorized Mean ( 41 / 53 )2.345911949685530.037841848841408361.9925300034107
Winsorized Mean ( 42 / 53 )2.345911949685530.037841848841408361.9925300034107
Winsorized Mean ( 43 / 53 )2.345911949685530.037841848841408361.9925300034107
Winsorized Mean ( 44 / 53 )2.345911949685530.037841848841408361.9925300034107
Winsorized Mean ( 45 / 53 )2.345911949685530.037841848841408361.9925300034107
Winsorized Mean ( 46 / 53 )2.345911949685530.037841848841408361.9925300034107
Winsorized Mean ( 47 / 53 )2.345911949685530.037841848841408361.9925300034107
Winsorized Mean ( 48 / 53 )2.345911949685530.037841848841408361.9925300034107
Winsorized Mean ( 49 / 53 )2.345911949685530.037841848841408361.9925300034107
Winsorized Mean ( 50 / 53 )2.345911949685530.037841848841408361.9925300034107
Winsorized Mean ( 51 / 53 )2.345911949685530.037841848841408361.9925300034107
Winsorized Mean ( 52 / 53 )2.345911949685530.037841848841408361.9925300034107
Winsorized Mean ( 53 / 53 )2.345911949685530.037841848841408361.9925300034107
Trimmed Mean ( 1 / 53 )2.394904458598730.07438460124770232.1962397919383
Trimmed Mean ( 2 / 53 )2.387096774193550.072876787269202932.7552416021818
Trimmed Mean ( 3 / 53 )2.379084967320260.07123567572032533.3973805015997
Trimmed Mean ( 4 / 53 )2.370860927152320.069444909822083934.1401685627702
Trimmed Mean ( 5 / 53 )2.369127516778520.06890411722554934.3829601506029
Trimmed Mean ( 6 / 53 )2.367346938775510.068315482770710534.6531539083331
Trimmed Mean ( 7 / 53 )2.367346938775510.067674701623235134.9812689526911
Trimmed Mean ( 8 / 53 )2.363636363636360.066976943913563635.2902988032229
Trimmed Mean ( 9 / 53 )2.361702127659570.066216766430433835.6662255644987
Trimmed Mean ( 10 / 53 )2.359712230215830.065388004255135736.0878460368439
Trimmed Mean ( 11 / 53 )2.357664233576640.064483636373566736.5622096731366
Trimmed Mean ( 12 / 53 )2.355555555555560.063495617052889737.0979236817788
Trimmed Mean ( 13 / 53 )2.353383458646620.062414661466911937.7056192140724
Trimmed Mean ( 14 / 53 )2.353383458646620.061229969099528638.4351567256423
Trimmed Mean ( 15 / 53 )2.348837209302330.05992886083746639.1937570058714
Trimmed Mean ( 16 / 53 )2.346456692913390.058496293621410440.1129122487609
Trimmed Mean ( 17 / 53 )2.3440.056914196879615341.1848032391289
Trimmed Mean ( 18 / 53 )2.341463414634150.055160541738442342.448158427029
Trimmed Mean ( 19 / 53 )2.338842975206610.053207995381222743.9566076197638
Trimmed Mean ( 20 / 53 )2.336134453781510.051021904253234545.7868926684251
Trimmed Mean ( 21 / 53 )2.324786324786320.049799272636478246.6831381606045
Trimmed Mean ( 22 / 53 )2.313043478260870.048415342285478547.7750103391221
Trimmed Mean ( 23 / 53 )2.300884955752210.046842386677740349.119720811442
Trimmed Mean ( 24 / 53 )2.288288288288290.04504504504504550.8
Trimmed Mean ( 25 / 53 )2.275229357798170.042976970405367652.9406641821826
Trimmed Mean ( 26 / 53 )2.271028037383180.043172737765666752.6032898286386
Trimmed Mean ( 27 / 53 )2.266666666666670.043362909039199452.2720158054349
Trimmed Mean ( 28 / 53 )2.266666666666670.043546310772605952.0518644737312
Trimmed Mean ( 29 / 53 )2.262135922330100.043721588447167651.739563969951
Trimmed Mean ( 30 / 53 )2.252525252525250.043887175543277251.3253638367325
Trimmed Mean ( 31 / 53 )2.247422680412370.044041256419162551.0299401775129
Trimmed Mean ( 32 / 53 )2.242105263157890.044181721539369150.7473494703011
Trimmed Mean ( 33 / 53 )2.236559139784950.044306113177326850.4796963532672
Trimmed Mean ( 34 / 53 )2.230769230769230.044411559168432850.2294734194974
Trimmed Mean ( 35 / 53 )2.224719101123600.044494691551837649.9996521727032
Trimmed Mean ( 36 / 53 )2.21839080459770.044551545932103749.7938008251951
Trimmed Mean ( 37 / 53 )2.211764705882350.044577435999579349.6162387155517
Trimmed Mean ( 38 / 53 )2.204819277108430.044566795694258949.472241447066
Trimmed Mean ( 39 / 53 )2.197530864197530.04451297870943249.3683174640454
Trimmed Mean ( 40 / 53 )2.189873417721520.044408000977571149.3125871355377
Trimmed Mean ( 41 / 53 )2.181818181818180.044242205762935249.3153120237518
Trimmed Mean ( 42 / 53 )2.173333333333330.044003821837839749.3896494114165
Trimmed Mean ( 43 / 53 )2.164383561643840.043678370935408749.5527538067872
Trimmed Mean ( 44 / 53 )2.154929577464790.043247857666407849.8274294668381
Trimmed Mean ( 45 / 53 )2.144927536231880.042689636687312150.2446894065365
Trimmed Mean ( 46 / 53 )2.134328358208960.041974785069899650.8478686586413
Trimmed Mean ( 47 / 53 )2.123076923076920.041065685584735851.6995367993095
Trimmed Mean ( 48 / 53 )2.111111111111110.039912289339283352.8937614468852
Trimmed Mean ( 49 / 53 )2.098360655737710.038446030818224854.5793833870363
Trimmed Mean ( 50 / 53 )2.084745762711860.036569234859054757.0081865466122
Trimmed Mean ( 51 / 53 )2.070175438596490.034134933513474360.6468279125055
Trimmed Mean ( 52 / 53 )2.054545454545450.03090314856722966.4833698118444
Trimmed Mean ( 53 / 53 )2.037735849056600.026425459297580777.112599107905
Median2
Midrange3
Midmean - Weighted Average at Xnp2.26315789473684
Midmean - Weighted Average at X(n+1)p2.26315789473684
Midmean - Empirical Distribution Function2.26315789473684
Midmean - Empirical Distribution Function - Averaging2.26315789473684
Midmean - Empirical Distribution Function - Interpolation2.26315789473684
Midmean - Closest Observation2.26315789473684
Midmean - True Basic - Statistics Graphics Toolkit2.26315789473684
Midmean - MS Excel (old versions)2.26315789473684
Number of observations159

\begin{tabular}{lllllllll}
\hline
Central Tendency - Ungrouped Data \tabularnewline
Measure & Value & S.E. & Value/S.E. \tabularnewline
Arithmetic Mean & 2.40251572327044 & 0.0757729571035076 & 31.706770002239 \tabularnewline
Geometric Mean & 2.21900919243184 &  &  \tabularnewline
Harmonic Mean & 2.03715566944267 &  &  \tabularnewline
Quadratic Mean & 2.58442358815634 &  &  \tabularnewline
Winsorized Mean ( 1 / 53 ) & 2.40251572327044 & 0.0757729571035076 & 31.706770002239 \tabularnewline
Winsorized Mean ( 2 / 53 ) & 2.40251572327044 & 0.0757729571035076 & 31.706770002239 \tabularnewline
Winsorized Mean ( 3 / 53 ) & 2.40251572327044 & 0.0757729571035076 & 31.706770002239 \tabularnewline
Winsorized Mean ( 4 / 53 ) & 2.37735849056604 & 0.0712011234094284 & 33.389339616111 \tabularnewline
Winsorized Mean ( 5 / 53 ) & 2.37735849056604 & 0.0712011234094284 & 33.389339616111 \tabularnewline
Winsorized Mean ( 6 / 53 ) & 2.37735849056604 & 0.0712011234094284 & 33.389339616111 \tabularnewline
Winsorized Mean ( 7 / 53 ) & 2.37735849056604 & 0.0712011234094284 & 33.389339616111 \tabularnewline
Winsorized Mean ( 8 / 53 ) & 2.37735849056604 & 0.0712011234094284 & 33.389339616111 \tabularnewline
Winsorized Mean ( 9 / 53 ) & 2.37735849056604 & 0.0712011234094284 & 33.389339616111 \tabularnewline
Winsorized Mean ( 10 / 53 ) & 2.37735849056604 & 0.0712011234094284 & 33.389339616111 \tabularnewline
Winsorized Mean ( 11 / 53 ) & 2.37735849056604 & 0.0712011234094284 & 33.389339616111 \tabularnewline
Winsorized Mean ( 12 / 53 ) & 2.37735849056604 & 0.0712011234094284 & 33.389339616111 \tabularnewline
Winsorized Mean ( 13 / 53 ) & 2.37735849056604 & 0.0712011234094284 & 33.389339616111 \tabularnewline
Winsorized Mean ( 14 / 53 ) & 2.37735849056604 & 0.0712011234094284 & 33.389339616111 \tabularnewline
Winsorized Mean ( 15 / 53 ) & 2.37735849056604 & 0.0712011234094284 & 33.389339616111 \tabularnewline
Winsorized Mean ( 16 / 53 ) & 2.37735849056604 & 0.0712011234094284 & 33.389339616111 \tabularnewline
Winsorized Mean ( 17 / 53 ) & 2.37735849056604 & 0.0712011234094284 & 33.389339616111 \tabularnewline
Winsorized Mean ( 18 / 53 ) & 2.37735849056604 & 0.0712011234094284 & 33.389339616111 \tabularnewline
Winsorized Mean ( 19 / 53 ) & 2.37735849056604 & 0.0712011234094284 & 33.389339616111 \tabularnewline
Winsorized Mean ( 20 / 53 ) & 2.50314465408805 & 0.0597704215382395 & 41.8793207353675 \tabularnewline
Winsorized Mean ( 21 / 53 ) & 2.50314465408805 & 0.0597704215382395 & 41.8793207353675 \tabularnewline
Winsorized Mean ( 22 / 53 ) & 2.50314465408805 & 0.0597704215382395 & 41.8793207353675 \tabularnewline
Winsorized Mean ( 23 / 53 ) & 2.50314465408805 & 0.0597704215382395 & 41.8793207353675 \tabularnewline
Winsorized Mean ( 24 / 53 ) & 2.50314465408805 & 0.0597704215382395 & 41.8793207353675 \tabularnewline
Winsorized Mean ( 25 / 53 ) & 2.34591194968553 & 0.0378418488414083 & 61.9925300034107 \tabularnewline
Winsorized Mean ( 26 / 53 ) & 2.34591194968553 & 0.0378418488414083 & 61.9925300034107 \tabularnewline
Winsorized Mean ( 27 / 53 ) & 2.34591194968553 & 0.0378418488414083 & 61.9925300034107 \tabularnewline
Winsorized Mean ( 28 / 53 ) & 2.34591194968553 & 0.0378418488414083 & 61.9925300034107 \tabularnewline
Winsorized Mean ( 29 / 53 ) & 2.34591194968553 & 0.0378418488414083 & 61.9925300034107 \tabularnewline
Winsorized Mean ( 30 / 53 ) & 2.34591194968553 & 0.0378418488414083 & 61.9925300034107 \tabularnewline
Winsorized Mean ( 31 / 53 ) & 2.34591194968553 & 0.0378418488414083 & 61.9925300034107 \tabularnewline
Winsorized Mean ( 32 / 53 ) & 2.34591194968553 & 0.0378418488414083 & 61.9925300034107 \tabularnewline
Winsorized Mean ( 33 / 53 ) & 2.34591194968553 & 0.0378418488414083 & 61.9925300034107 \tabularnewline
Winsorized Mean ( 34 / 53 ) & 2.34591194968553 & 0.0378418488414083 & 61.9925300034107 \tabularnewline
Winsorized Mean ( 35 / 53 ) & 2.34591194968553 & 0.0378418488414083 & 61.9925300034107 \tabularnewline
Winsorized Mean ( 36 / 53 ) & 2.34591194968553 & 0.0378418488414083 & 61.9925300034107 \tabularnewline
Winsorized Mean ( 37 / 53 ) & 2.34591194968553 & 0.0378418488414083 & 61.9925300034107 \tabularnewline
Winsorized Mean ( 38 / 53 ) & 2.34591194968553 & 0.0378418488414083 & 61.9925300034107 \tabularnewline
Winsorized Mean ( 39 / 53 ) & 2.34591194968553 & 0.0378418488414083 & 61.9925300034107 \tabularnewline
Winsorized Mean ( 40 / 53 ) & 2.34591194968553 & 0.0378418488414083 & 61.9925300034107 \tabularnewline
Winsorized Mean ( 41 / 53 ) & 2.34591194968553 & 0.0378418488414083 & 61.9925300034107 \tabularnewline
Winsorized Mean ( 42 / 53 ) & 2.34591194968553 & 0.0378418488414083 & 61.9925300034107 \tabularnewline
Winsorized Mean ( 43 / 53 ) & 2.34591194968553 & 0.0378418488414083 & 61.9925300034107 \tabularnewline
Winsorized Mean ( 44 / 53 ) & 2.34591194968553 & 0.0378418488414083 & 61.9925300034107 \tabularnewline
Winsorized Mean ( 45 / 53 ) & 2.34591194968553 & 0.0378418488414083 & 61.9925300034107 \tabularnewline
Winsorized Mean ( 46 / 53 ) & 2.34591194968553 & 0.0378418488414083 & 61.9925300034107 \tabularnewline
Winsorized Mean ( 47 / 53 ) & 2.34591194968553 & 0.0378418488414083 & 61.9925300034107 \tabularnewline
Winsorized Mean ( 48 / 53 ) & 2.34591194968553 & 0.0378418488414083 & 61.9925300034107 \tabularnewline
Winsorized Mean ( 49 / 53 ) & 2.34591194968553 & 0.0378418488414083 & 61.9925300034107 \tabularnewline
Winsorized Mean ( 50 / 53 ) & 2.34591194968553 & 0.0378418488414083 & 61.9925300034107 \tabularnewline
Winsorized Mean ( 51 / 53 ) & 2.34591194968553 & 0.0378418488414083 & 61.9925300034107 \tabularnewline
Winsorized Mean ( 52 / 53 ) & 2.34591194968553 & 0.0378418488414083 & 61.9925300034107 \tabularnewline
Winsorized Mean ( 53 / 53 ) & 2.34591194968553 & 0.0378418488414083 & 61.9925300034107 \tabularnewline
Trimmed Mean ( 1 / 53 ) & 2.39490445859873 & 0.074384601247702 & 32.1962397919383 \tabularnewline
Trimmed Mean ( 2 / 53 ) & 2.38709677419355 & 0.0728767872692029 & 32.7552416021818 \tabularnewline
Trimmed Mean ( 3 / 53 ) & 2.37908496732026 & 0.071235675720325 & 33.3973805015997 \tabularnewline
Trimmed Mean ( 4 / 53 ) & 2.37086092715232 & 0.0694449098220839 & 34.1401685627702 \tabularnewline
Trimmed Mean ( 5 / 53 ) & 2.36912751677852 & 0.068904117225549 & 34.3829601506029 \tabularnewline
Trimmed Mean ( 6 / 53 ) & 2.36734693877551 & 0.0683154827707105 & 34.6531539083331 \tabularnewline
Trimmed Mean ( 7 / 53 ) & 2.36734693877551 & 0.0676747016232351 & 34.9812689526911 \tabularnewline
Trimmed Mean ( 8 / 53 ) & 2.36363636363636 & 0.0669769439135636 & 35.2902988032229 \tabularnewline
Trimmed Mean ( 9 / 53 ) & 2.36170212765957 & 0.0662167664304338 & 35.6662255644987 \tabularnewline
Trimmed Mean ( 10 / 53 ) & 2.35971223021583 & 0.0653880042551357 & 36.0878460368439 \tabularnewline
Trimmed Mean ( 11 / 53 ) & 2.35766423357664 & 0.0644836363735667 & 36.5622096731366 \tabularnewline
Trimmed Mean ( 12 / 53 ) & 2.35555555555556 & 0.0634956170528897 & 37.0979236817788 \tabularnewline
Trimmed Mean ( 13 / 53 ) & 2.35338345864662 & 0.0624146614669119 & 37.7056192140724 \tabularnewline
Trimmed Mean ( 14 / 53 ) & 2.35338345864662 & 0.0612299690995286 & 38.4351567256423 \tabularnewline
Trimmed Mean ( 15 / 53 ) & 2.34883720930233 & 0.059928860837466 & 39.1937570058714 \tabularnewline
Trimmed Mean ( 16 / 53 ) & 2.34645669291339 & 0.0584962936214104 & 40.1129122487609 \tabularnewline
Trimmed Mean ( 17 / 53 ) & 2.344 & 0.0569141968796153 & 41.1848032391289 \tabularnewline
Trimmed Mean ( 18 / 53 ) & 2.34146341463415 & 0.0551605417384423 & 42.448158427029 \tabularnewline
Trimmed Mean ( 19 / 53 ) & 2.33884297520661 & 0.0532079953812227 & 43.9566076197638 \tabularnewline
Trimmed Mean ( 20 / 53 ) & 2.33613445378151 & 0.0510219042532345 & 45.7868926684251 \tabularnewline
Trimmed Mean ( 21 / 53 ) & 2.32478632478632 & 0.0497992726364782 & 46.6831381606045 \tabularnewline
Trimmed Mean ( 22 / 53 ) & 2.31304347826087 & 0.0484153422854785 & 47.7750103391221 \tabularnewline
Trimmed Mean ( 23 / 53 ) & 2.30088495575221 & 0.0468423866777403 & 49.119720811442 \tabularnewline
Trimmed Mean ( 24 / 53 ) & 2.28828828828829 & 0.045045045045045 & 50.8 \tabularnewline
Trimmed Mean ( 25 / 53 ) & 2.27522935779817 & 0.0429769704053676 & 52.9406641821826 \tabularnewline
Trimmed Mean ( 26 / 53 ) & 2.27102803738318 & 0.0431727377656667 & 52.6032898286386 \tabularnewline
Trimmed Mean ( 27 / 53 ) & 2.26666666666667 & 0.0433629090391994 & 52.2720158054349 \tabularnewline
Trimmed Mean ( 28 / 53 ) & 2.26666666666667 & 0.0435463107726059 & 52.0518644737312 \tabularnewline
Trimmed Mean ( 29 / 53 ) & 2.26213592233010 & 0.0437215884471676 & 51.739563969951 \tabularnewline
Trimmed Mean ( 30 / 53 ) & 2.25252525252525 & 0.0438871755432772 & 51.3253638367325 \tabularnewline
Trimmed Mean ( 31 / 53 ) & 2.24742268041237 & 0.0440412564191625 & 51.0299401775129 \tabularnewline
Trimmed Mean ( 32 / 53 ) & 2.24210526315789 & 0.0441817215393691 & 50.7473494703011 \tabularnewline
Trimmed Mean ( 33 / 53 ) & 2.23655913978495 & 0.0443061131773268 & 50.4796963532672 \tabularnewline
Trimmed Mean ( 34 / 53 ) & 2.23076923076923 & 0.0444115591684328 & 50.2294734194974 \tabularnewline
Trimmed Mean ( 35 / 53 ) & 2.22471910112360 & 0.0444946915518376 & 49.9996521727032 \tabularnewline
Trimmed Mean ( 36 / 53 ) & 2.2183908045977 & 0.0445515459321037 & 49.7938008251951 \tabularnewline
Trimmed Mean ( 37 / 53 ) & 2.21176470588235 & 0.0445774359995793 & 49.6162387155517 \tabularnewline
Trimmed Mean ( 38 / 53 ) & 2.20481927710843 & 0.0445667956942589 & 49.472241447066 \tabularnewline
Trimmed Mean ( 39 / 53 ) & 2.19753086419753 & 0.044512978709432 & 49.3683174640454 \tabularnewline
Trimmed Mean ( 40 / 53 ) & 2.18987341772152 & 0.0444080009775711 & 49.3125871355377 \tabularnewline
Trimmed Mean ( 41 / 53 ) & 2.18181818181818 & 0.0442422057629352 & 49.3153120237518 \tabularnewline
Trimmed Mean ( 42 / 53 ) & 2.17333333333333 & 0.0440038218378397 & 49.3896494114165 \tabularnewline
Trimmed Mean ( 43 / 53 ) & 2.16438356164384 & 0.0436783709354087 & 49.5527538067872 \tabularnewline
Trimmed Mean ( 44 / 53 ) & 2.15492957746479 & 0.0432478576664078 & 49.8274294668381 \tabularnewline
Trimmed Mean ( 45 / 53 ) & 2.14492753623188 & 0.0426896366873121 & 50.2446894065365 \tabularnewline
Trimmed Mean ( 46 / 53 ) & 2.13432835820896 & 0.0419747850698996 & 50.8478686586413 \tabularnewline
Trimmed Mean ( 47 / 53 ) & 2.12307692307692 & 0.0410656855847358 & 51.6995367993095 \tabularnewline
Trimmed Mean ( 48 / 53 ) & 2.11111111111111 & 0.0399122893392833 & 52.8937614468852 \tabularnewline
Trimmed Mean ( 49 / 53 ) & 2.09836065573771 & 0.0384460308182248 & 54.5793833870363 \tabularnewline
Trimmed Mean ( 50 / 53 ) & 2.08474576271186 & 0.0365692348590547 & 57.0081865466122 \tabularnewline
Trimmed Mean ( 51 / 53 ) & 2.07017543859649 & 0.0341349335134743 & 60.6468279125055 \tabularnewline
Trimmed Mean ( 52 / 53 ) & 2.05454545454545 & 0.030903148567229 & 66.4833698118444 \tabularnewline
Trimmed Mean ( 53 / 53 ) & 2.03773584905660 & 0.0264254592975807 & 77.112599107905 \tabularnewline
Median & 2 &  &  \tabularnewline
Midrange & 3 &  &  \tabularnewline
Midmean - Weighted Average at Xnp & 2.26315789473684 &  &  \tabularnewline
Midmean - Weighted Average at X(n+1)p & 2.26315789473684 &  &  \tabularnewline
Midmean - Empirical Distribution Function & 2.26315789473684 &  &  \tabularnewline
Midmean - Empirical Distribution Function - Averaging & 2.26315789473684 &  &  \tabularnewline
Midmean - Empirical Distribution Function - Interpolation & 2.26315789473684 &  &  \tabularnewline
Midmean - Closest Observation & 2.26315789473684 &  &  \tabularnewline
Midmean - True Basic - Statistics Graphics Toolkit & 2.26315789473684 &  &  \tabularnewline
Midmean - MS Excel (old versions) & 2.26315789473684 &  &  \tabularnewline
Number of observations & 159 &  &  \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=96529&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]2.40251572327044[/C][C]0.0757729571035076[/C][C]31.706770002239[/C][/ROW]
[ROW][C]Geometric Mean[/C][C]2.21900919243184[/C][C][/C][C][/C][/ROW]
[ROW][C]Harmonic Mean[/C][C]2.03715566944267[/C][C][/C][C][/C][/ROW]
[ROW][C]Quadratic Mean[/C][C]2.58442358815634[/C][C][/C][C][/C][/ROW]
[ROW][C]Winsorized Mean ( 1 / 53 )[/C][C]2.40251572327044[/C][C]0.0757729571035076[/C][C]31.706770002239[/C][/ROW]
[ROW][C]Winsorized Mean ( 2 / 53 )[/C][C]2.40251572327044[/C][C]0.0757729571035076[/C][C]31.706770002239[/C][/ROW]
[ROW][C]Winsorized Mean ( 3 / 53 )[/C][C]2.40251572327044[/C][C]0.0757729571035076[/C][C]31.706770002239[/C][/ROW]
[ROW][C]Winsorized Mean ( 4 / 53 )[/C][C]2.37735849056604[/C][C]0.0712011234094284[/C][C]33.389339616111[/C][/ROW]
[ROW][C]Winsorized Mean ( 5 / 53 )[/C][C]2.37735849056604[/C][C]0.0712011234094284[/C][C]33.389339616111[/C][/ROW]
[ROW][C]Winsorized Mean ( 6 / 53 )[/C][C]2.37735849056604[/C][C]0.0712011234094284[/C][C]33.389339616111[/C][/ROW]
[ROW][C]Winsorized Mean ( 7 / 53 )[/C][C]2.37735849056604[/C][C]0.0712011234094284[/C][C]33.389339616111[/C][/ROW]
[ROW][C]Winsorized Mean ( 8 / 53 )[/C][C]2.37735849056604[/C][C]0.0712011234094284[/C][C]33.389339616111[/C][/ROW]
[ROW][C]Winsorized Mean ( 9 / 53 )[/C][C]2.37735849056604[/C][C]0.0712011234094284[/C][C]33.389339616111[/C][/ROW]
[ROW][C]Winsorized Mean ( 10 / 53 )[/C][C]2.37735849056604[/C][C]0.0712011234094284[/C][C]33.389339616111[/C][/ROW]
[ROW][C]Winsorized Mean ( 11 / 53 )[/C][C]2.37735849056604[/C][C]0.0712011234094284[/C][C]33.389339616111[/C][/ROW]
[ROW][C]Winsorized Mean ( 12 / 53 )[/C][C]2.37735849056604[/C][C]0.0712011234094284[/C][C]33.389339616111[/C][/ROW]
[ROW][C]Winsorized Mean ( 13 / 53 )[/C][C]2.37735849056604[/C][C]0.0712011234094284[/C][C]33.389339616111[/C][/ROW]
[ROW][C]Winsorized Mean ( 14 / 53 )[/C][C]2.37735849056604[/C][C]0.0712011234094284[/C][C]33.389339616111[/C][/ROW]
[ROW][C]Winsorized Mean ( 15 / 53 )[/C][C]2.37735849056604[/C][C]0.0712011234094284[/C][C]33.389339616111[/C][/ROW]
[ROW][C]Winsorized Mean ( 16 / 53 )[/C][C]2.37735849056604[/C][C]0.0712011234094284[/C][C]33.389339616111[/C][/ROW]
[ROW][C]Winsorized Mean ( 17 / 53 )[/C][C]2.37735849056604[/C][C]0.0712011234094284[/C][C]33.389339616111[/C][/ROW]
[ROW][C]Winsorized Mean ( 18 / 53 )[/C][C]2.37735849056604[/C][C]0.0712011234094284[/C][C]33.389339616111[/C][/ROW]
[ROW][C]Winsorized Mean ( 19 / 53 )[/C][C]2.37735849056604[/C][C]0.0712011234094284[/C][C]33.389339616111[/C][/ROW]
[ROW][C]Winsorized Mean ( 20 / 53 )[/C][C]2.50314465408805[/C][C]0.0597704215382395[/C][C]41.8793207353675[/C][/ROW]
[ROW][C]Winsorized Mean ( 21 / 53 )[/C][C]2.50314465408805[/C][C]0.0597704215382395[/C][C]41.8793207353675[/C][/ROW]
[ROW][C]Winsorized Mean ( 22 / 53 )[/C][C]2.50314465408805[/C][C]0.0597704215382395[/C][C]41.8793207353675[/C][/ROW]
[ROW][C]Winsorized Mean ( 23 / 53 )[/C][C]2.50314465408805[/C][C]0.0597704215382395[/C][C]41.8793207353675[/C][/ROW]
[ROW][C]Winsorized Mean ( 24 / 53 )[/C][C]2.50314465408805[/C][C]0.0597704215382395[/C][C]41.8793207353675[/C][/ROW]
[ROW][C]Winsorized Mean ( 25 / 53 )[/C][C]2.34591194968553[/C][C]0.0378418488414083[/C][C]61.9925300034107[/C][/ROW]
[ROW][C]Winsorized Mean ( 26 / 53 )[/C][C]2.34591194968553[/C][C]0.0378418488414083[/C][C]61.9925300034107[/C][/ROW]
[ROW][C]Winsorized Mean ( 27 / 53 )[/C][C]2.34591194968553[/C][C]0.0378418488414083[/C][C]61.9925300034107[/C][/ROW]
[ROW][C]Winsorized Mean ( 28 / 53 )[/C][C]2.34591194968553[/C][C]0.0378418488414083[/C][C]61.9925300034107[/C][/ROW]
[ROW][C]Winsorized Mean ( 29 / 53 )[/C][C]2.34591194968553[/C][C]0.0378418488414083[/C][C]61.9925300034107[/C][/ROW]
[ROW][C]Winsorized Mean ( 30 / 53 )[/C][C]2.34591194968553[/C][C]0.0378418488414083[/C][C]61.9925300034107[/C][/ROW]
[ROW][C]Winsorized Mean ( 31 / 53 )[/C][C]2.34591194968553[/C][C]0.0378418488414083[/C][C]61.9925300034107[/C][/ROW]
[ROW][C]Winsorized Mean ( 32 / 53 )[/C][C]2.34591194968553[/C][C]0.0378418488414083[/C][C]61.9925300034107[/C][/ROW]
[ROW][C]Winsorized Mean ( 33 / 53 )[/C][C]2.34591194968553[/C][C]0.0378418488414083[/C][C]61.9925300034107[/C][/ROW]
[ROW][C]Winsorized Mean ( 34 / 53 )[/C][C]2.34591194968553[/C][C]0.0378418488414083[/C][C]61.9925300034107[/C][/ROW]
[ROW][C]Winsorized Mean ( 35 / 53 )[/C][C]2.34591194968553[/C][C]0.0378418488414083[/C][C]61.9925300034107[/C][/ROW]
[ROW][C]Winsorized Mean ( 36 / 53 )[/C][C]2.34591194968553[/C][C]0.0378418488414083[/C][C]61.9925300034107[/C][/ROW]
[ROW][C]Winsorized Mean ( 37 / 53 )[/C][C]2.34591194968553[/C][C]0.0378418488414083[/C][C]61.9925300034107[/C][/ROW]
[ROW][C]Winsorized Mean ( 38 / 53 )[/C][C]2.34591194968553[/C][C]0.0378418488414083[/C][C]61.9925300034107[/C][/ROW]
[ROW][C]Winsorized Mean ( 39 / 53 )[/C][C]2.34591194968553[/C][C]0.0378418488414083[/C][C]61.9925300034107[/C][/ROW]
[ROW][C]Winsorized Mean ( 40 / 53 )[/C][C]2.34591194968553[/C][C]0.0378418488414083[/C][C]61.9925300034107[/C][/ROW]
[ROW][C]Winsorized Mean ( 41 / 53 )[/C][C]2.34591194968553[/C][C]0.0378418488414083[/C][C]61.9925300034107[/C][/ROW]
[ROW][C]Winsorized Mean ( 42 / 53 )[/C][C]2.34591194968553[/C][C]0.0378418488414083[/C][C]61.9925300034107[/C][/ROW]
[ROW][C]Winsorized Mean ( 43 / 53 )[/C][C]2.34591194968553[/C][C]0.0378418488414083[/C][C]61.9925300034107[/C][/ROW]
[ROW][C]Winsorized Mean ( 44 / 53 )[/C][C]2.34591194968553[/C][C]0.0378418488414083[/C][C]61.9925300034107[/C][/ROW]
[ROW][C]Winsorized Mean ( 45 / 53 )[/C][C]2.34591194968553[/C][C]0.0378418488414083[/C][C]61.9925300034107[/C][/ROW]
[ROW][C]Winsorized Mean ( 46 / 53 )[/C][C]2.34591194968553[/C][C]0.0378418488414083[/C][C]61.9925300034107[/C][/ROW]
[ROW][C]Winsorized Mean ( 47 / 53 )[/C][C]2.34591194968553[/C][C]0.0378418488414083[/C][C]61.9925300034107[/C][/ROW]
[ROW][C]Winsorized Mean ( 48 / 53 )[/C][C]2.34591194968553[/C][C]0.0378418488414083[/C][C]61.9925300034107[/C][/ROW]
[ROW][C]Winsorized Mean ( 49 / 53 )[/C][C]2.34591194968553[/C][C]0.0378418488414083[/C][C]61.9925300034107[/C][/ROW]
[ROW][C]Winsorized Mean ( 50 / 53 )[/C][C]2.34591194968553[/C][C]0.0378418488414083[/C][C]61.9925300034107[/C][/ROW]
[ROW][C]Winsorized Mean ( 51 / 53 )[/C][C]2.34591194968553[/C][C]0.0378418488414083[/C][C]61.9925300034107[/C][/ROW]
[ROW][C]Winsorized Mean ( 52 / 53 )[/C][C]2.34591194968553[/C][C]0.0378418488414083[/C][C]61.9925300034107[/C][/ROW]
[ROW][C]Winsorized Mean ( 53 / 53 )[/C][C]2.34591194968553[/C][C]0.0378418488414083[/C][C]61.9925300034107[/C][/ROW]
[ROW][C]Trimmed Mean ( 1 / 53 )[/C][C]2.39490445859873[/C][C]0.074384601247702[/C][C]32.1962397919383[/C][/ROW]
[ROW][C]Trimmed Mean ( 2 / 53 )[/C][C]2.38709677419355[/C][C]0.0728767872692029[/C][C]32.7552416021818[/C][/ROW]
[ROW][C]Trimmed Mean ( 3 / 53 )[/C][C]2.37908496732026[/C][C]0.071235675720325[/C][C]33.3973805015997[/C][/ROW]
[ROW][C]Trimmed Mean ( 4 / 53 )[/C][C]2.37086092715232[/C][C]0.0694449098220839[/C][C]34.1401685627702[/C][/ROW]
[ROW][C]Trimmed Mean ( 5 / 53 )[/C][C]2.36912751677852[/C][C]0.068904117225549[/C][C]34.3829601506029[/C][/ROW]
[ROW][C]Trimmed Mean ( 6 / 53 )[/C][C]2.36734693877551[/C][C]0.0683154827707105[/C][C]34.6531539083331[/C][/ROW]
[ROW][C]Trimmed Mean ( 7 / 53 )[/C][C]2.36734693877551[/C][C]0.0676747016232351[/C][C]34.9812689526911[/C][/ROW]
[ROW][C]Trimmed Mean ( 8 / 53 )[/C][C]2.36363636363636[/C][C]0.0669769439135636[/C][C]35.2902988032229[/C][/ROW]
[ROW][C]Trimmed Mean ( 9 / 53 )[/C][C]2.36170212765957[/C][C]0.0662167664304338[/C][C]35.6662255644987[/C][/ROW]
[ROW][C]Trimmed Mean ( 10 / 53 )[/C][C]2.35971223021583[/C][C]0.0653880042551357[/C][C]36.0878460368439[/C][/ROW]
[ROW][C]Trimmed Mean ( 11 / 53 )[/C][C]2.35766423357664[/C][C]0.0644836363735667[/C][C]36.5622096731366[/C][/ROW]
[ROW][C]Trimmed Mean ( 12 / 53 )[/C][C]2.35555555555556[/C][C]0.0634956170528897[/C][C]37.0979236817788[/C][/ROW]
[ROW][C]Trimmed Mean ( 13 / 53 )[/C][C]2.35338345864662[/C][C]0.0624146614669119[/C][C]37.7056192140724[/C][/ROW]
[ROW][C]Trimmed Mean ( 14 / 53 )[/C][C]2.35338345864662[/C][C]0.0612299690995286[/C][C]38.4351567256423[/C][/ROW]
[ROW][C]Trimmed Mean ( 15 / 53 )[/C][C]2.34883720930233[/C][C]0.059928860837466[/C][C]39.1937570058714[/C][/ROW]
[ROW][C]Trimmed Mean ( 16 / 53 )[/C][C]2.34645669291339[/C][C]0.0584962936214104[/C][C]40.1129122487609[/C][/ROW]
[ROW][C]Trimmed Mean ( 17 / 53 )[/C][C]2.344[/C][C]0.0569141968796153[/C][C]41.1848032391289[/C][/ROW]
[ROW][C]Trimmed Mean ( 18 / 53 )[/C][C]2.34146341463415[/C][C]0.0551605417384423[/C][C]42.448158427029[/C][/ROW]
[ROW][C]Trimmed Mean ( 19 / 53 )[/C][C]2.33884297520661[/C][C]0.0532079953812227[/C][C]43.9566076197638[/C][/ROW]
[ROW][C]Trimmed Mean ( 20 / 53 )[/C][C]2.33613445378151[/C][C]0.0510219042532345[/C][C]45.7868926684251[/C][/ROW]
[ROW][C]Trimmed Mean ( 21 / 53 )[/C][C]2.32478632478632[/C][C]0.0497992726364782[/C][C]46.6831381606045[/C][/ROW]
[ROW][C]Trimmed Mean ( 22 / 53 )[/C][C]2.31304347826087[/C][C]0.0484153422854785[/C][C]47.7750103391221[/C][/ROW]
[ROW][C]Trimmed Mean ( 23 / 53 )[/C][C]2.30088495575221[/C][C]0.0468423866777403[/C][C]49.119720811442[/C][/ROW]
[ROW][C]Trimmed Mean ( 24 / 53 )[/C][C]2.28828828828829[/C][C]0.045045045045045[/C][C]50.8[/C][/ROW]
[ROW][C]Trimmed Mean ( 25 / 53 )[/C][C]2.27522935779817[/C][C]0.0429769704053676[/C][C]52.9406641821826[/C][/ROW]
[ROW][C]Trimmed Mean ( 26 / 53 )[/C][C]2.27102803738318[/C][C]0.0431727377656667[/C][C]52.6032898286386[/C][/ROW]
[ROW][C]Trimmed Mean ( 27 / 53 )[/C][C]2.26666666666667[/C][C]0.0433629090391994[/C][C]52.2720158054349[/C][/ROW]
[ROW][C]Trimmed Mean ( 28 / 53 )[/C][C]2.26666666666667[/C][C]0.0435463107726059[/C][C]52.0518644737312[/C][/ROW]
[ROW][C]Trimmed Mean ( 29 / 53 )[/C][C]2.26213592233010[/C][C]0.0437215884471676[/C][C]51.739563969951[/C][/ROW]
[ROW][C]Trimmed Mean ( 30 / 53 )[/C][C]2.25252525252525[/C][C]0.0438871755432772[/C][C]51.3253638367325[/C][/ROW]
[ROW][C]Trimmed Mean ( 31 / 53 )[/C][C]2.24742268041237[/C][C]0.0440412564191625[/C][C]51.0299401775129[/C][/ROW]
[ROW][C]Trimmed Mean ( 32 / 53 )[/C][C]2.24210526315789[/C][C]0.0441817215393691[/C][C]50.7473494703011[/C][/ROW]
[ROW][C]Trimmed Mean ( 33 / 53 )[/C][C]2.23655913978495[/C][C]0.0443061131773268[/C][C]50.4796963532672[/C][/ROW]
[ROW][C]Trimmed Mean ( 34 / 53 )[/C][C]2.23076923076923[/C][C]0.0444115591684328[/C][C]50.2294734194974[/C][/ROW]
[ROW][C]Trimmed Mean ( 35 / 53 )[/C][C]2.22471910112360[/C][C]0.0444946915518376[/C][C]49.9996521727032[/C][/ROW]
[ROW][C]Trimmed Mean ( 36 / 53 )[/C][C]2.2183908045977[/C][C]0.0445515459321037[/C][C]49.7938008251951[/C][/ROW]
[ROW][C]Trimmed Mean ( 37 / 53 )[/C][C]2.21176470588235[/C][C]0.0445774359995793[/C][C]49.6162387155517[/C][/ROW]
[ROW][C]Trimmed Mean ( 38 / 53 )[/C][C]2.20481927710843[/C][C]0.0445667956942589[/C][C]49.472241447066[/C][/ROW]
[ROW][C]Trimmed Mean ( 39 / 53 )[/C][C]2.19753086419753[/C][C]0.044512978709432[/C][C]49.3683174640454[/C][/ROW]
[ROW][C]Trimmed Mean ( 40 / 53 )[/C][C]2.18987341772152[/C][C]0.0444080009775711[/C][C]49.3125871355377[/C][/ROW]
[ROW][C]Trimmed Mean ( 41 / 53 )[/C][C]2.18181818181818[/C][C]0.0442422057629352[/C][C]49.3153120237518[/C][/ROW]
[ROW][C]Trimmed Mean ( 42 / 53 )[/C][C]2.17333333333333[/C][C]0.0440038218378397[/C][C]49.3896494114165[/C][/ROW]
[ROW][C]Trimmed Mean ( 43 / 53 )[/C][C]2.16438356164384[/C][C]0.0436783709354087[/C][C]49.5527538067872[/C][/ROW]
[ROW][C]Trimmed Mean ( 44 / 53 )[/C][C]2.15492957746479[/C][C]0.0432478576664078[/C][C]49.8274294668381[/C][/ROW]
[ROW][C]Trimmed Mean ( 45 / 53 )[/C][C]2.14492753623188[/C][C]0.0426896366873121[/C][C]50.2446894065365[/C][/ROW]
[ROW][C]Trimmed Mean ( 46 / 53 )[/C][C]2.13432835820896[/C][C]0.0419747850698996[/C][C]50.8478686586413[/C][/ROW]
[ROW][C]Trimmed Mean ( 47 / 53 )[/C][C]2.12307692307692[/C][C]0.0410656855847358[/C][C]51.6995367993095[/C][/ROW]
[ROW][C]Trimmed Mean ( 48 / 53 )[/C][C]2.11111111111111[/C][C]0.0399122893392833[/C][C]52.8937614468852[/C][/ROW]
[ROW][C]Trimmed Mean ( 49 / 53 )[/C][C]2.09836065573771[/C][C]0.0384460308182248[/C][C]54.5793833870363[/C][/ROW]
[ROW][C]Trimmed Mean ( 50 / 53 )[/C][C]2.08474576271186[/C][C]0.0365692348590547[/C][C]57.0081865466122[/C][/ROW]
[ROW][C]Trimmed Mean ( 51 / 53 )[/C][C]2.07017543859649[/C][C]0.0341349335134743[/C][C]60.6468279125055[/C][/ROW]
[ROW][C]Trimmed Mean ( 52 / 53 )[/C][C]2.05454545454545[/C][C]0.030903148567229[/C][C]66.4833698118444[/C][/ROW]
[ROW][C]Trimmed Mean ( 53 / 53 )[/C][C]2.03773584905660[/C][C]0.0264254592975807[/C][C]77.112599107905[/C][/ROW]
[ROW][C]Median[/C][C]2[/C][C][/C][C][/C][/ROW]
[ROW][C]Midrange[/C][C]3[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - Weighted Average at Xnp[/C][C]2.26315789473684[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - Weighted Average at X(n+1)p[/C][C]2.26315789473684[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - Empirical Distribution Function[/C][C]2.26315789473684[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - Empirical Distribution Function - Averaging[/C][C]2.26315789473684[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - Empirical Distribution Function - Interpolation[/C][C]2.26315789473684[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - Closest Observation[/C][C]2.26315789473684[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - True Basic - Statistics Graphics Toolkit[/C][C]2.26315789473684[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - MS Excel (old versions)[/C][C]2.26315789473684[/C][C][/C][C][/C][/ROW]
[ROW][C]Number of observations[/C][C]159[/C][C][/C][C][/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=96529&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=96529&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 Mean2.402515723270440.075772957103507631.706770002239
Geometric Mean2.21900919243184
Harmonic Mean2.03715566944267
Quadratic Mean2.58442358815634
Winsorized Mean ( 1 / 53 )2.402515723270440.075772957103507631.706770002239
Winsorized Mean ( 2 / 53 )2.402515723270440.075772957103507631.706770002239
Winsorized Mean ( 3 / 53 )2.402515723270440.075772957103507631.706770002239
Winsorized Mean ( 4 / 53 )2.377358490566040.071201123409428433.389339616111
Winsorized Mean ( 5 / 53 )2.377358490566040.071201123409428433.389339616111
Winsorized Mean ( 6 / 53 )2.377358490566040.071201123409428433.389339616111
Winsorized Mean ( 7 / 53 )2.377358490566040.071201123409428433.389339616111
Winsorized Mean ( 8 / 53 )2.377358490566040.071201123409428433.389339616111
Winsorized Mean ( 9 / 53 )2.377358490566040.071201123409428433.389339616111
Winsorized Mean ( 10 / 53 )2.377358490566040.071201123409428433.389339616111
Winsorized Mean ( 11 / 53 )2.377358490566040.071201123409428433.389339616111
Winsorized Mean ( 12 / 53 )2.377358490566040.071201123409428433.389339616111
Winsorized Mean ( 13 / 53 )2.377358490566040.071201123409428433.389339616111
Winsorized Mean ( 14 / 53 )2.377358490566040.071201123409428433.389339616111
Winsorized Mean ( 15 / 53 )2.377358490566040.071201123409428433.389339616111
Winsorized Mean ( 16 / 53 )2.377358490566040.071201123409428433.389339616111
Winsorized Mean ( 17 / 53 )2.377358490566040.071201123409428433.389339616111
Winsorized Mean ( 18 / 53 )2.377358490566040.071201123409428433.389339616111
Winsorized Mean ( 19 / 53 )2.377358490566040.071201123409428433.389339616111
Winsorized Mean ( 20 / 53 )2.503144654088050.059770421538239541.8793207353675
Winsorized Mean ( 21 / 53 )2.503144654088050.059770421538239541.8793207353675
Winsorized Mean ( 22 / 53 )2.503144654088050.059770421538239541.8793207353675
Winsorized Mean ( 23 / 53 )2.503144654088050.059770421538239541.8793207353675
Winsorized Mean ( 24 / 53 )2.503144654088050.059770421538239541.8793207353675
Winsorized Mean ( 25 / 53 )2.345911949685530.037841848841408361.9925300034107
Winsorized Mean ( 26 / 53 )2.345911949685530.037841848841408361.9925300034107
Winsorized Mean ( 27 / 53 )2.345911949685530.037841848841408361.9925300034107
Winsorized Mean ( 28 / 53 )2.345911949685530.037841848841408361.9925300034107
Winsorized Mean ( 29 / 53 )2.345911949685530.037841848841408361.9925300034107
Winsorized Mean ( 30 / 53 )2.345911949685530.037841848841408361.9925300034107
Winsorized Mean ( 31 / 53 )2.345911949685530.037841848841408361.9925300034107
Winsorized Mean ( 32 / 53 )2.345911949685530.037841848841408361.9925300034107
Winsorized Mean ( 33 / 53 )2.345911949685530.037841848841408361.9925300034107
Winsorized Mean ( 34 / 53 )2.345911949685530.037841848841408361.9925300034107
Winsorized Mean ( 35 / 53 )2.345911949685530.037841848841408361.9925300034107
Winsorized Mean ( 36 / 53 )2.345911949685530.037841848841408361.9925300034107
Winsorized Mean ( 37 / 53 )2.345911949685530.037841848841408361.9925300034107
Winsorized Mean ( 38 / 53 )2.345911949685530.037841848841408361.9925300034107
Winsorized Mean ( 39 / 53 )2.345911949685530.037841848841408361.9925300034107
Winsorized Mean ( 40 / 53 )2.345911949685530.037841848841408361.9925300034107
Winsorized Mean ( 41 / 53 )2.345911949685530.037841848841408361.9925300034107
Winsorized Mean ( 42 / 53 )2.345911949685530.037841848841408361.9925300034107
Winsorized Mean ( 43 / 53 )2.345911949685530.037841848841408361.9925300034107
Winsorized Mean ( 44 / 53 )2.345911949685530.037841848841408361.9925300034107
Winsorized Mean ( 45 / 53 )2.345911949685530.037841848841408361.9925300034107
Winsorized Mean ( 46 / 53 )2.345911949685530.037841848841408361.9925300034107
Winsorized Mean ( 47 / 53 )2.345911949685530.037841848841408361.9925300034107
Winsorized Mean ( 48 / 53 )2.345911949685530.037841848841408361.9925300034107
Winsorized Mean ( 49 / 53 )2.345911949685530.037841848841408361.9925300034107
Winsorized Mean ( 50 / 53 )2.345911949685530.037841848841408361.9925300034107
Winsorized Mean ( 51 / 53 )2.345911949685530.037841848841408361.9925300034107
Winsorized Mean ( 52 / 53 )2.345911949685530.037841848841408361.9925300034107
Winsorized Mean ( 53 / 53 )2.345911949685530.037841848841408361.9925300034107
Trimmed Mean ( 1 / 53 )2.394904458598730.07438460124770232.1962397919383
Trimmed Mean ( 2 / 53 )2.387096774193550.072876787269202932.7552416021818
Trimmed Mean ( 3 / 53 )2.379084967320260.07123567572032533.3973805015997
Trimmed Mean ( 4 / 53 )2.370860927152320.069444909822083934.1401685627702
Trimmed Mean ( 5 / 53 )2.369127516778520.06890411722554934.3829601506029
Trimmed Mean ( 6 / 53 )2.367346938775510.068315482770710534.6531539083331
Trimmed Mean ( 7 / 53 )2.367346938775510.067674701623235134.9812689526911
Trimmed Mean ( 8 / 53 )2.363636363636360.066976943913563635.2902988032229
Trimmed Mean ( 9 / 53 )2.361702127659570.066216766430433835.6662255644987
Trimmed Mean ( 10 / 53 )2.359712230215830.065388004255135736.0878460368439
Trimmed Mean ( 11 / 53 )2.357664233576640.064483636373566736.5622096731366
Trimmed Mean ( 12 / 53 )2.355555555555560.063495617052889737.0979236817788
Trimmed Mean ( 13 / 53 )2.353383458646620.062414661466911937.7056192140724
Trimmed Mean ( 14 / 53 )2.353383458646620.061229969099528638.4351567256423
Trimmed Mean ( 15 / 53 )2.348837209302330.05992886083746639.1937570058714
Trimmed Mean ( 16 / 53 )2.346456692913390.058496293621410440.1129122487609
Trimmed Mean ( 17 / 53 )2.3440.056914196879615341.1848032391289
Trimmed Mean ( 18 / 53 )2.341463414634150.055160541738442342.448158427029
Trimmed Mean ( 19 / 53 )2.338842975206610.053207995381222743.9566076197638
Trimmed Mean ( 20 / 53 )2.336134453781510.051021904253234545.7868926684251
Trimmed Mean ( 21 / 53 )2.324786324786320.049799272636478246.6831381606045
Trimmed Mean ( 22 / 53 )2.313043478260870.048415342285478547.7750103391221
Trimmed Mean ( 23 / 53 )2.300884955752210.046842386677740349.119720811442
Trimmed Mean ( 24 / 53 )2.288288288288290.04504504504504550.8
Trimmed Mean ( 25 / 53 )2.275229357798170.042976970405367652.9406641821826
Trimmed Mean ( 26 / 53 )2.271028037383180.043172737765666752.6032898286386
Trimmed Mean ( 27 / 53 )2.266666666666670.043362909039199452.2720158054349
Trimmed Mean ( 28 / 53 )2.266666666666670.043546310772605952.0518644737312
Trimmed Mean ( 29 / 53 )2.262135922330100.043721588447167651.739563969951
Trimmed Mean ( 30 / 53 )2.252525252525250.043887175543277251.3253638367325
Trimmed Mean ( 31 / 53 )2.247422680412370.044041256419162551.0299401775129
Trimmed Mean ( 32 / 53 )2.242105263157890.044181721539369150.7473494703011
Trimmed Mean ( 33 / 53 )2.236559139784950.044306113177326850.4796963532672
Trimmed Mean ( 34 / 53 )2.230769230769230.044411559168432850.2294734194974
Trimmed Mean ( 35 / 53 )2.224719101123600.044494691551837649.9996521727032
Trimmed Mean ( 36 / 53 )2.21839080459770.044551545932103749.7938008251951
Trimmed Mean ( 37 / 53 )2.211764705882350.044577435999579349.6162387155517
Trimmed Mean ( 38 / 53 )2.204819277108430.044566795694258949.472241447066
Trimmed Mean ( 39 / 53 )2.197530864197530.04451297870943249.3683174640454
Trimmed Mean ( 40 / 53 )2.189873417721520.044408000977571149.3125871355377
Trimmed Mean ( 41 / 53 )2.181818181818180.044242205762935249.3153120237518
Trimmed Mean ( 42 / 53 )2.173333333333330.044003821837839749.3896494114165
Trimmed Mean ( 43 / 53 )2.164383561643840.043678370935408749.5527538067872
Trimmed Mean ( 44 / 53 )2.154929577464790.043247857666407849.8274294668381
Trimmed Mean ( 45 / 53 )2.144927536231880.042689636687312150.2446894065365
Trimmed Mean ( 46 / 53 )2.134328358208960.041974785069899650.8478686586413
Trimmed Mean ( 47 / 53 )2.123076923076920.041065685584735851.6995367993095
Trimmed Mean ( 48 / 53 )2.111111111111110.039912289339283352.8937614468852
Trimmed Mean ( 49 / 53 )2.098360655737710.038446030818224854.5793833870363
Trimmed Mean ( 50 / 53 )2.084745762711860.036569234859054757.0081865466122
Trimmed Mean ( 51 / 53 )2.070175438596490.034134933513474360.6468279125055
Trimmed Mean ( 52 / 53 )2.054545454545450.03090314856722966.4833698118444
Trimmed Mean ( 53 / 53 )2.037735849056600.026425459297580777.112599107905
Median2
Midrange3
Midmean - Weighted Average at Xnp2.26315789473684
Midmean - Weighted Average at X(n+1)p2.26315789473684
Midmean - Empirical Distribution Function2.26315789473684
Midmean - Empirical Distribution Function - Averaging2.26315789473684
Midmean - Empirical Distribution Function - Interpolation2.26315789473684
Midmean - Closest Observation2.26315789473684
Midmean - True Basic - Statistics Graphics Toolkit2.26315789473684
Midmean - MS Excel (old versions)2.26315789473684
Number of observations159



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')