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of Irreproducible Research!

Author's title

Author*Unverified author*
R Software Modulerwasp_centraltendency.wasp
Title produced by softwareCentral Tendency
Date of computationMon, 13 Jul 2015 16:04:57 +0100
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2015/Jul/13/t1436800226yvrfky4b832kci8.htm/, Retrieved Wed, 15 May 2024 20:12:17 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=279558, Retrieved Wed, 15 May 2024 20:12:17 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact168
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Univariate Data Series] [REEKS B: oefening 1] [2015-07-13 14:22:06] [6b666be92a2717ec998be34b30849c21]
- RMP   [Histogram] [REEKS B: oefening 2] [2015-07-13 14:26:38] [6b666be92a2717ec998be34b30849c21]
- RMP     [Kernel Density Estimation] [REEKS B: oefening 3] [2015-07-13 14:36:10] [6b666be92a2717ec998be34b30849c21]
- RMP         [Central Tendency] [REEKS B: oefening 6] [2015-07-13 15:04:57] [b81b5adcb18a6dd731e9cb79a54989dd] [Current]
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Dataseries X:
1263600
1216800
1287000
1029600
1333800
1310400
1404000
1450800
1614600
1404000
1333800
1661400
1404000
1053000
1240200
936000
1310400
1076400
1427400
1287000
1357200
1521000
1497600
1778400
1287000
1076400
1193400
865800
1240200
959400
1357200
1287000
1146600
1638000
1474200
1684800
1263600
1170000
1053000
865800
1146600
1029600
1404000
1357200
1170000
1567800
1450800
1872000
1497600
912600
912600
912600
1076400
1076400
1450800
1333800
1193400
1497600
1380600
1989000
1567800
912600
959400
795600
1099800
1263600
1591200
1567800
1263600
1474200
1310400
1872000
1427400
1146600
1029600
772200
1146600
1380600
1614600
1521000
1123200
1614600
1263600
1942200
1614600
1170000
1076400
725400
1146600
1099800
1661400
1661400
1263600
1638000
1216800
1895400
1614600
1193400
912600
631800
1240200
1193400
1567800
1801800
1333800
1497600
1123200
1942200




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'Herman Ole Andreas Wold' @ wold.wessa.net

\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 & 'Herman Ole Andreas Wold' @ wold.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=279558&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]'Herman Ole Andreas Wold' @ wold.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=279558&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=279558&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'Herman Ole Andreas Wold' @ wold.wessa.net







Central Tendency - Ungrouped Data
MeasureValueS.E.Value/S.E.
Arithmetic Mean131365027395.222228238647.9517920700022
Geometric Mean1282086.59504271
Harmonic Mean1249154.09162548
Quadratic Mean1343867.41533531
Winsorized Mean ( 1 / 36 )1314083.3333333327109.563621931448.473053703832
Winsorized Mean ( 2 / 36 )131495026940.010806289448.8102996489152
Winsorized Mean ( 3 / 36 )131430026544.966258122549.5122121165944
Winsorized Mean ( 4 / 36 )1316033.3333333325920.670774816150.771577046222
Winsorized Mean ( 5 / 36 )1316033.3333333325920.670774816150.771577046222
Winsorized Mean ( 6 / 36 )1314733.3333333324761.913440140953.094981391949
Winsorized Mean ( 7 / 36 )1313216.6666666724487.848672483253.6272779299848
Winsorized Mean ( 8 / 36 )1306283.3333333323344.915405406155.9557963971389
Winsorized Mean ( 9 / 36 )1304333.3333333323056.009729165256.5723795511497
Winsorized Mean ( 10 / 36 )1304333.3333333323056.009729165256.5723795511497
Winsorized Mean ( 11 / 36 )1306716.6666666722684.72314291357.6033773228968
Winsorized Mean ( 12 / 36 )1306716.6666666721919.871719974759.6133354866265
Winsorized Mean ( 13 / 36 )1306716.6666666721919.871719974759.6133354866265
Winsorized Mean ( 14 / 36 )1312783.3333333320221.550852970564.9200124598993
Winsorized Mean ( 15 / 36 )1312783.3333333320221.550852970564.9200124598993
Winsorized Mean ( 16 / 36 )1312783.3333333320221.550852970564.9200124598993
Winsorized Mean ( 17 / 36 )1316466.6666666719750.782678341266.6538986381696
Winsorized Mean ( 18 / 36 )1316466.6666666719750.782678341266.6538986381696
Winsorized Mean ( 19 / 36 )1316466.6666666718672.989027223270.5011214191471
Winsorized Mean ( 20 / 36 )1312133.3333333318088.674505862172.538943243636
Winsorized Mean ( 21 / 36 )1312133.3333333318088.674505862172.538943243636
Winsorized Mean ( 22 / 36 )1312133.3333333318088.674505862172.538943243636
Winsorized Mean ( 23 / 36 )1312133.3333333318088.674505862172.538943243636
Winsorized Mean ( 24 / 36 )1306933.3333333316125.176872817581.0492401814493
Winsorized Mean ( 25 / 36 )1306933.3333333316125.176872817581.0492401814493
Winsorized Mean ( 26 / 36 )1306933.3333333314769.380495054188.4893807002259
Winsorized Mean ( 27 / 36 )1306933.3333333314769.380495054188.4893807002259
Winsorized Mean ( 28 / 36 )131300014081.292687048293.2442801368428
Winsorized Mean ( 29 / 36 )131300014081.292687048293.2442801368428
Winsorized Mean ( 30 / 36 )130650013299.676758070498.2354702122514
Winsorized Mean ( 31 / 36 )130650013299.676758070498.2354702122514
Winsorized Mean ( 32 / 36 )1299566.6666666712498.6125917474103.976874003179
Winsorized Mean ( 33 / 36 )1306716.6666666711698.6312225759111.698252710537
Winsorized Mean ( 34 / 36 )1306716.6666666711698.6312225759111.698252710537
Winsorized Mean ( 35 / 36 )1299133.3333333310842.3202599305119.820601327788
Winsorized Mean ( 36 / 36 )1306933.333333339993.30720996463130.780862218481
Trimmed Mean ( 1 / 36 )1313711.3207547226390.766862651849.7792022335615
Trimmed Mean ( 2 / 36 )131332525582.48972128851.3368719897165
Trimmed Mean ( 3 / 36 )1312464.7058823524772.779282394152.9801154291603
Trimmed Mean ( 4 / 36 )131180424026.992729768854.5970948072377
Trimmed Mean ( 5 / 36 )1310638.775510223393.832620057756.024970204603
Trimmed Mean ( 6 / 36 )130942522675.273891457957.7468217701785
Trimmed Mean ( 7 / 36 )1308408.510638322150.491480840159.0690509856206
Trimmed Mean ( 8 / 36 )1307602.1739130421615.355819656860.4941313399025
Trimmed Mean ( 9 / 36 )130780021239.04608619961.5752701271174
Trimmed Mean ( 10 / 36 )1308272.7272727320861.950881577562.7109484965771
Trimmed Mean ( 11 / 36 )1308767.4418604720428.967084690364.0642983286839
Trimmed Mean ( 12 / 36 )1309007.1428571419995.212406442665.4660283796421
Trimmed Mean ( 13 / 36 )1309258.5365853719620.758350256166.7282330893331
Trimmed Mean ( 14 / 36 )1309522.519186.463613621968.2524162019245
Trimmed Mean ( 15 / 36 )130920018942.592699570469.1140870082526
Trimmed Mean ( 16 / 36 )1308860.5263157918654.898051976670.161762485596
Trimmed Mean ( 17 / 36 )1308502.702702718315.57876967571.4420613816027
Trimmed Mean ( 18 / 36 )130780017982.910510329972.7246014625251
Trimmed Mean ( 19 / 36 )1307057.1428571417587.736713330374.3163923909824
Trimmed Mean ( 20 / 36 )1306270.5882352917277.842496877375.6038022959975
Trimmed Mean ( 21 / 36 )1305790.9090909116993.220330181276.8418748017838
Trimmed Mean ( 22 / 36 )1305281.2516648.32128361678.4031751768607
Trimmed Mean ( 23 / 36 )1304738.7096774216229.895565689380.3910724130408
Trimmed Mean ( 24 / 36 )130416015720.500703631682.9591896967204
Trimmed Mean ( 25 / 36 )1303944.8275862115419.811733756784.5629538220395
Trimmed Mean ( 26 / 36 )1303714.2857142915046.233387348786.6472194170857
Trimmed Mean ( 27 / 36 )1303466.6666666714802.427700485288.0576276433317
Trimmed Mean ( 28 / 36 )130320014491.254969402689.930099411792
Trimmed Mean ( 29 / 36 )130244414207.890064384491.6704728216401
Trimmed Mean ( 30 / 36 )130162513840.558172700894.0442562907132
Trimmed Mean ( 31 / 36 )1301243.4782608713519.35726260596.2503951175366
Trimmed Mean ( 32 / 36 )1300827.2727272713096.32485753899.3276577114332
Trimmed Mean ( 33 / 36 )1300928.5714285712711.0673999077102.346131170543
Trimmed Mean ( 34 / 36 )130045512367.579593437105.150323891192
Trimmed Mean ( 35 / 36 )1299931.5789473711896.316597219109.271770663136
Trimmed Mean ( 36 / 36 )130000011472.874842116113.310745378988
Median1287000
Midrange1310400
Midmean - Weighted Average at Xnp1303714.28571429
Midmean - Weighted Average at X(n+1)p1303714.28571429
Midmean - Empirical Distribution Function1303714.28571429
Midmean - Empirical Distribution Function - Averaging1303714.28571429
Midmean - Empirical Distribution Function - Interpolation1303714.28571429
Midmean - Closest Observation1303714.28571429
Midmean - True Basic - Statistics Graphics Toolkit1303714.28571429
Midmean - MS Excel (old versions)1303714.28571429
Number of observations108

\begin{tabular}{lllllllll}
\hline
Central Tendency - Ungrouped Data \tabularnewline
Measure & Value & S.E. & Value/S.E. \tabularnewline
Arithmetic Mean & 1313650 & 27395.2222282386 & 47.9517920700022 \tabularnewline
Geometric Mean & 1282086.59504271 &  &  \tabularnewline
Harmonic Mean & 1249154.09162548 &  &  \tabularnewline
Quadratic Mean & 1343867.41533531 &  &  \tabularnewline
Winsorized Mean ( 1 / 36 ) & 1314083.33333333 & 27109.5636219314 & 48.473053703832 \tabularnewline
Winsorized Mean ( 2 / 36 ) & 1314950 & 26940.0108062894 & 48.8102996489152 \tabularnewline
Winsorized Mean ( 3 / 36 ) & 1314300 & 26544.9662581225 & 49.5122121165944 \tabularnewline
Winsorized Mean ( 4 / 36 ) & 1316033.33333333 & 25920.6707748161 & 50.771577046222 \tabularnewline
Winsorized Mean ( 5 / 36 ) & 1316033.33333333 & 25920.6707748161 & 50.771577046222 \tabularnewline
Winsorized Mean ( 6 / 36 ) & 1314733.33333333 & 24761.9134401409 & 53.094981391949 \tabularnewline
Winsorized Mean ( 7 / 36 ) & 1313216.66666667 & 24487.8486724832 & 53.6272779299848 \tabularnewline
Winsorized Mean ( 8 / 36 ) & 1306283.33333333 & 23344.9154054061 & 55.9557963971389 \tabularnewline
Winsorized Mean ( 9 / 36 ) & 1304333.33333333 & 23056.0097291652 & 56.5723795511497 \tabularnewline
Winsorized Mean ( 10 / 36 ) & 1304333.33333333 & 23056.0097291652 & 56.5723795511497 \tabularnewline
Winsorized Mean ( 11 / 36 ) & 1306716.66666667 & 22684.723142913 & 57.6033773228968 \tabularnewline
Winsorized Mean ( 12 / 36 ) & 1306716.66666667 & 21919.8717199747 & 59.6133354866265 \tabularnewline
Winsorized Mean ( 13 / 36 ) & 1306716.66666667 & 21919.8717199747 & 59.6133354866265 \tabularnewline
Winsorized Mean ( 14 / 36 ) & 1312783.33333333 & 20221.5508529705 & 64.9200124598993 \tabularnewline
Winsorized Mean ( 15 / 36 ) & 1312783.33333333 & 20221.5508529705 & 64.9200124598993 \tabularnewline
Winsorized Mean ( 16 / 36 ) & 1312783.33333333 & 20221.5508529705 & 64.9200124598993 \tabularnewline
Winsorized Mean ( 17 / 36 ) & 1316466.66666667 & 19750.7826783412 & 66.6538986381696 \tabularnewline
Winsorized Mean ( 18 / 36 ) & 1316466.66666667 & 19750.7826783412 & 66.6538986381696 \tabularnewline
Winsorized Mean ( 19 / 36 ) & 1316466.66666667 & 18672.9890272232 & 70.5011214191471 \tabularnewline
Winsorized Mean ( 20 / 36 ) & 1312133.33333333 & 18088.6745058621 & 72.538943243636 \tabularnewline
Winsorized Mean ( 21 / 36 ) & 1312133.33333333 & 18088.6745058621 & 72.538943243636 \tabularnewline
Winsorized Mean ( 22 / 36 ) & 1312133.33333333 & 18088.6745058621 & 72.538943243636 \tabularnewline
Winsorized Mean ( 23 / 36 ) & 1312133.33333333 & 18088.6745058621 & 72.538943243636 \tabularnewline
Winsorized Mean ( 24 / 36 ) & 1306933.33333333 & 16125.1768728175 & 81.0492401814493 \tabularnewline
Winsorized Mean ( 25 / 36 ) & 1306933.33333333 & 16125.1768728175 & 81.0492401814493 \tabularnewline
Winsorized Mean ( 26 / 36 ) & 1306933.33333333 & 14769.3804950541 & 88.4893807002259 \tabularnewline
Winsorized Mean ( 27 / 36 ) & 1306933.33333333 & 14769.3804950541 & 88.4893807002259 \tabularnewline
Winsorized Mean ( 28 / 36 ) & 1313000 & 14081.2926870482 & 93.2442801368428 \tabularnewline
Winsorized Mean ( 29 / 36 ) & 1313000 & 14081.2926870482 & 93.2442801368428 \tabularnewline
Winsorized Mean ( 30 / 36 ) & 1306500 & 13299.6767580704 & 98.2354702122514 \tabularnewline
Winsorized Mean ( 31 / 36 ) & 1306500 & 13299.6767580704 & 98.2354702122514 \tabularnewline
Winsorized Mean ( 32 / 36 ) & 1299566.66666667 & 12498.6125917474 & 103.976874003179 \tabularnewline
Winsorized Mean ( 33 / 36 ) & 1306716.66666667 & 11698.6312225759 & 111.698252710537 \tabularnewline
Winsorized Mean ( 34 / 36 ) & 1306716.66666667 & 11698.6312225759 & 111.698252710537 \tabularnewline
Winsorized Mean ( 35 / 36 ) & 1299133.33333333 & 10842.3202599305 & 119.820601327788 \tabularnewline
Winsorized Mean ( 36 / 36 ) & 1306933.33333333 & 9993.30720996463 & 130.780862218481 \tabularnewline
Trimmed Mean ( 1 / 36 ) & 1313711.32075472 & 26390.7668626518 & 49.7792022335615 \tabularnewline
Trimmed Mean ( 2 / 36 ) & 1313325 & 25582.489721288 & 51.3368719897165 \tabularnewline
Trimmed Mean ( 3 / 36 ) & 1312464.70588235 & 24772.7792823941 & 52.9801154291603 \tabularnewline
Trimmed Mean ( 4 / 36 ) & 1311804 & 24026.9927297688 & 54.5970948072377 \tabularnewline
Trimmed Mean ( 5 / 36 ) & 1310638.7755102 & 23393.8326200577 & 56.024970204603 \tabularnewline
Trimmed Mean ( 6 / 36 ) & 1309425 & 22675.2738914579 & 57.7468217701785 \tabularnewline
Trimmed Mean ( 7 / 36 ) & 1308408.5106383 & 22150.4914808401 & 59.0690509856206 \tabularnewline
Trimmed Mean ( 8 / 36 ) & 1307602.17391304 & 21615.3558196568 & 60.4941313399025 \tabularnewline
Trimmed Mean ( 9 / 36 ) & 1307800 & 21239.046086199 & 61.5752701271174 \tabularnewline
Trimmed Mean ( 10 / 36 ) & 1308272.72727273 & 20861.9508815775 & 62.7109484965771 \tabularnewline
Trimmed Mean ( 11 / 36 ) & 1308767.44186047 & 20428.9670846903 & 64.0642983286839 \tabularnewline
Trimmed Mean ( 12 / 36 ) & 1309007.14285714 & 19995.2124064426 & 65.4660283796421 \tabularnewline
Trimmed Mean ( 13 / 36 ) & 1309258.53658537 & 19620.7583502561 & 66.7282330893331 \tabularnewline
Trimmed Mean ( 14 / 36 ) & 1309522.5 & 19186.4636136219 & 68.2524162019245 \tabularnewline
Trimmed Mean ( 15 / 36 ) & 1309200 & 18942.5926995704 & 69.1140870082526 \tabularnewline
Trimmed Mean ( 16 / 36 ) & 1308860.52631579 & 18654.8980519766 & 70.161762485596 \tabularnewline
Trimmed Mean ( 17 / 36 ) & 1308502.7027027 & 18315.578769675 & 71.4420613816027 \tabularnewline
Trimmed Mean ( 18 / 36 ) & 1307800 & 17982.9105103299 & 72.7246014625251 \tabularnewline
Trimmed Mean ( 19 / 36 ) & 1307057.14285714 & 17587.7367133303 & 74.3163923909824 \tabularnewline
Trimmed Mean ( 20 / 36 ) & 1306270.58823529 & 17277.8424968773 & 75.6038022959975 \tabularnewline
Trimmed Mean ( 21 / 36 ) & 1305790.90909091 & 16993.2203301812 & 76.8418748017838 \tabularnewline
Trimmed Mean ( 22 / 36 ) & 1305281.25 & 16648.321283616 & 78.4031751768607 \tabularnewline
Trimmed Mean ( 23 / 36 ) & 1304738.70967742 & 16229.8955656893 & 80.3910724130408 \tabularnewline
Trimmed Mean ( 24 / 36 ) & 1304160 & 15720.5007036316 & 82.9591896967204 \tabularnewline
Trimmed Mean ( 25 / 36 ) & 1303944.82758621 & 15419.8117337567 & 84.5629538220395 \tabularnewline
Trimmed Mean ( 26 / 36 ) & 1303714.28571429 & 15046.2333873487 & 86.6472194170857 \tabularnewline
Trimmed Mean ( 27 / 36 ) & 1303466.66666667 & 14802.4277004852 & 88.0576276433317 \tabularnewline
Trimmed Mean ( 28 / 36 ) & 1303200 & 14491.2549694026 & 89.930099411792 \tabularnewline
Trimmed Mean ( 29 / 36 ) & 1302444 & 14207.8900643844 & 91.6704728216401 \tabularnewline
Trimmed Mean ( 30 / 36 ) & 1301625 & 13840.5581727008 & 94.0442562907132 \tabularnewline
Trimmed Mean ( 31 / 36 ) & 1301243.47826087 & 13519.357262605 & 96.2503951175366 \tabularnewline
Trimmed Mean ( 32 / 36 ) & 1300827.27272727 & 13096.324857538 & 99.3276577114332 \tabularnewline
Trimmed Mean ( 33 / 36 ) & 1300928.57142857 & 12711.0673999077 & 102.346131170543 \tabularnewline
Trimmed Mean ( 34 / 36 ) & 1300455 & 12367.579593437 & 105.150323891192 \tabularnewline
Trimmed Mean ( 35 / 36 ) & 1299931.57894737 & 11896.316597219 & 109.271770663136 \tabularnewline
Trimmed Mean ( 36 / 36 ) & 1300000 & 11472.874842116 & 113.310745378988 \tabularnewline
Median & 1287000 &  &  \tabularnewline
Midrange & 1310400 &  &  \tabularnewline
Midmean - Weighted Average at Xnp & 1303714.28571429 &  &  \tabularnewline
Midmean - Weighted Average at X(n+1)p & 1303714.28571429 &  &  \tabularnewline
Midmean - Empirical Distribution Function & 1303714.28571429 &  &  \tabularnewline
Midmean - Empirical Distribution Function - Averaging & 1303714.28571429 &  &  \tabularnewline
Midmean - Empirical Distribution Function - Interpolation & 1303714.28571429 &  &  \tabularnewline
Midmean - Closest Observation & 1303714.28571429 &  &  \tabularnewline
Midmean - True Basic - Statistics Graphics Toolkit & 1303714.28571429 &  &  \tabularnewline
Midmean - MS Excel (old versions) & 1303714.28571429 &  &  \tabularnewline
Number of observations & 108 &  &  \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=279558&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]1313650[/C][C]27395.2222282386[/C][C]47.9517920700022[/C][/ROW]
[ROW][C]Geometric Mean[/C][C]1282086.59504271[/C][C][/C][C][/C][/ROW]
[ROW][C]Harmonic Mean[/C][C]1249154.09162548[/C][C][/C][C][/C][/ROW]
[ROW][C]Quadratic Mean[/C][C]1343867.41533531[/C][C][/C][C][/C][/ROW]
[ROW][C]Winsorized Mean ( 1 / 36 )[/C][C]1314083.33333333[/C][C]27109.5636219314[/C][C]48.473053703832[/C][/ROW]
[ROW][C]Winsorized Mean ( 2 / 36 )[/C][C]1314950[/C][C]26940.0108062894[/C][C]48.8102996489152[/C][/ROW]
[ROW][C]Winsorized Mean ( 3 / 36 )[/C][C]1314300[/C][C]26544.9662581225[/C][C]49.5122121165944[/C][/ROW]
[ROW][C]Winsorized Mean ( 4 / 36 )[/C][C]1316033.33333333[/C][C]25920.6707748161[/C][C]50.771577046222[/C][/ROW]
[ROW][C]Winsorized Mean ( 5 / 36 )[/C][C]1316033.33333333[/C][C]25920.6707748161[/C][C]50.771577046222[/C][/ROW]
[ROW][C]Winsorized Mean ( 6 / 36 )[/C][C]1314733.33333333[/C][C]24761.9134401409[/C][C]53.094981391949[/C][/ROW]
[ROW][C]Winsorized Mean ( 7 / 36 )[/C][C]1313216.66666667[/C][C]24487.8486724832[/C][C]53.6272779299848[/C][/ROW]
[ROW][C]Winsorized Mean ( 8 / 36 )[/C][C]1306283.33333333[/C][C]23344.9154054061[/C][C]55.9557963971389[/C][/ROW]
[ROW][C]Winsorized Mean ( 9 / 36 )[/C][C]1304333.33333333[/C][C]23056.0097291652[/C][C]56.5723795511497[/C][/ROW]
[ROW][C]Winsorized Mean ( 10 / 36 )[/C][C]1304333.33333333[/C][C]23056.0097291652[/C][C]56.5723795511497[/C][/ROW]
[ROW][C]Winsorized Mean ( 11 / 36 )[/C][C]1306716.66666667[/C][C]22684.723142913[/C][C]57.6033773228968[/C][/ROW]
[ROW][C]Winsorized Mean ( 12 / 36 )[/C][C]1306716.66666667[/C][C]21919.8717199747[/C][C]59.6133354866265[/C][/ROW]
[ROW][C]Winsorized Mean ( 13 / 36 )[/C][C]1306716.66666667[/C][C]21919.8717199747[/C][C]59.6133354866265[/C][/ROW]
[ROW][C]Winsorized Mean ( 14 / 36 )[/C][C]1312783.33333333[/C][C]20221.5508529705[/C][C]64.9200124598993[/C][/ROW]
[ROW][C]Winsorized Mean ( 15 / 36 )[/C][C]1312783.33333333[/C][C]20221.5508529705[/C][C]64.9200124598993[/C][/ROW]
[ROW][C]Winsorized Mean ( 16 / 36 )[/C][C]1312783.33333333[/C][C]20221.5508529705[/C][C]64.9200124598993[/C][/ROW]
[ROW][C]Winsorized Mean ( 17 / 36 )[/C][C]1316466.66666667[/C][C]19750.7826783412[/C][C]66.6538986381696[/C][/ROW]
[ROW][C]Winsorized Mean ( 18 / 36 )[/C][C]1316466.66666667[/C][C]19750.7826783412[/C][C]66.6538986381696[/C][/ROW]
[ROW][C]Winsorized Mean ( 19 / 36 )[/C][C]1316466.66666667[/C][C]18672.9890272232[/C][C]70.5011214191471[/C][/ROW]
[ROW][C]Winsorized Mean ( 20 / 36 )[/C][C]1312133.33333333[/C][C]18088.6745058621[/C][C]72.538943243636[/C][/ROW]
[ROW][C]Winsorized Mean ( 21 / 36 )[/C][C]1312133.33333333[/C][C]18088.6745058621[/C][C]72.538943243636[/C][/ROW]
[ROW][C]Winsorized Mean ( 22 / 36 )[/C][C]1312133.33333333[/C][C]18088.6745058621[/C][C]72.538943243636[/C][/ROW]
[ROW][C]Winsorized Mean ( 23 / 36 )[/C][C]1312133.33333333[/C][C]18088.6745058621[/C][C]72.538943243636[/C][/ROW]
[ROW][C]Winsorized Mean ( 24 / 36 )[/C][C]1306933.33333333[/C][C]16125.1768728175[/C][C]81.0492401814493[/C][/ROW]
[ROW][C]Winsorized Mean ( 25 / 36 )[/C][C]1306933.33333333[/C][C]16125.1768728175[/C][C]81.0492401814493[/C][/ROW]
[ROW][C]Winsorized Mean ( 26 / 36 )[/C][C]1306933.33333333[/C][C]14769.3804950541[/C][C]88.4893807002259[/C][/ROW]
[ROW][C]Winsorized Mean ( 27 / 36 )[/C][C]1306933.33333333[/C][C]14769.3804950541[/C][C]88.4893807002259[/C][/ROW]
[ROW][C]Winsorized Mean ( 28 / 36 )[/C][C]1313000[/C][C]14081.2926870482[/C][C]93.2442801368428[/C][/ROW]
[ROW][C]Winsorized Mean ( 29 / 36 )[/C][C]1313000[/C][C]14081.2926870482[/C][C]93.2442801368428[/C][/ROW]
[ROW][C]Winsorized Mean ( 30 / 36 )[/C][C]1306500[/C][C]13299.6767580704[/C][C]98.2354702122514[/C][/ROW]
[ROW][C]Winsorized Mean ( 31 / 36 )[/C][C]1306500[/C][C]13299.6767580704[/C][C]98.2354702122514[/C][/ROW]
[ROW][C]Winsorized Mean ( 32 / 36 )[/C][C]1299566.66666667[/C][C]12498.6125917474[/C][C]103.976874003179[/C][/ROW]
[ROW][C]Winsorized Mean ( 33 / 36 )[/C][C]1306716.66666667[/C][C]11698.6312225759[/C][C]111.698252710537[/C][/ROW]
[ROW][C]Winsorized Mean ( 34 / 36 )[/C][C]1306716.66666667[/C][C]11698.6312225759[/C][C]111.698252710537[/C][/ROW]
[ROW][C]Winsorized Mean ( 35 / 36 )[/C][C]1299133.33333333[/C][C]10842.3202599305[/C][C]119.820601327788[/C][/ROW]
[ROW][C]Winsorized Mean ( 36 / 36 )[/C][C]1306933.33333333[/C][C]9993.30720996463[/C][C]130.780862218481[/C][/ROW]
[ROW][C]Trimmed Mean ( 1 / 36 )[/C][C]1313711.32075472[/C][C]26390.7668626518[/C][C]49.7792022335615[/C][/ROW]
[ROW][C]Trimmed Mean ( 2 / 36 )[/C][C]1313325[/C][C]25582.489721288[/C][C]51.3368719897165[/C][/ROW]
[ROW][C]Trimmed Mean ( 3 / 36 )[/C][C]1312464.70588235[/C][C]24772.7792823941[/C][C]52.9801154291603[/C][/ROW]
[ROW][C]Trimmed Mean ( 4 / 36 )[/C][C]1311804[/C][C]24026.9927297688[/C][C]54.5970948072377[/C][/ROW]
[ROW][C]Trimmed Mean ( 5 / 36 )[/C][C]1310638.7755102[/C][C]23393.8326200577[/C][C]56.024970204603[/C][/ROW]
[ROW][C]Trimmed Mean ( 6 / 36 )[/C][C]1309425[/C][C]22675.2738914579[/C][C]57.7468217701785[/C][/ROW]
[ROW][C]Trimmed Mean ( 7 / 36 )[/C][C]1308408.5106383[/C][C]22150.4914808401[/C][C]59.0690509856206[/C][/ROW]
[ROW][C]Trimmed Mean ( 8 / 36 )[/C][C]1307602.17391304[/C][C]21615.3558196568[/C][C]60.4941313399025[/C][/ROW]
[ROW][C]Trimmed Mean ( 9 / 36 )[/C][C]1307800[/C][C]21239.046086199[/C][C]61.5752701271174[/C][/ROW]
[ROW][C]Trimmed Mean ( 10 / 36 )[/C][C]1308272.72727273[/C][C]20861.9508815775[/C][C]62.7109484965771[/C][/ROW]
[ROW][C]Trimmed Mean ( 11 / 36 )[/C][C]1308767.44186047[/C][C]20428.9670846903[/C][C]64.0642983286839[/C][/ROW]
[ROW][C]Trimmed Mean ( 12 / 36 )[/C][C]1309007.14285714[/C][C]19995.2124064426[/C][C]65.4660283796421[/C][/ROW]
[ROW][C]Trimmed Mean ( 13 / 36 )[/C][C]1309258.53658537[/C][C]19620.7583502561[/C][C]66.7282330893331[/C][/ROW]
[ROW][C]Trimmed Mean ( 14 / 36 )[/C][C]1309522.5[/C][C]19186.4636136219[/C][C]68.2524162019245[/C][/ROW]
[ROW][C]Trimmed Mean ( 15 / 36 )[/C][C]1309200[/C][C]18942.5926995704[/C][C]69.1140870082526[/C][/ROW]
[ROW][C]Trimmed Mean ( 16 / 36 )[/C][C]1308860.52631579[/C][C]18654.8980519766[/C][C]70.161762485596[/C][/ROW]
[ROW][C]Trimmed Mean ( 17 / 36 )[/C][C]1308502.7027027[/C][C]18315.578769675[/C][C]71.4420613816027[/C][/ROW]
[ROW][C]Trimmed Mean ( 18 / 36 )[/C][C]1307800[/C][C]17982.9105103299[/C][C]72.7246014625251[/C][/ROW]
[ROW][C]Trimmed Mean ( 19 / 36 )[/C][C]1307057.14285714[/C][C]17587.7367133303[/C][C]74.3163923909824[/C][/ROW]
[ROW][C]Trimmed Mean ( 20 / 36 )[/C][C]1306270.58823529[/C][C]17277.8424968773[/C][C]75.6038022959975[/C][/ROW]
[ROW][C]Trimmed Mean ( 21 / 36 )[/C][C]1305790.90909091[/C][C]16993.2203301812[/C][C]76.8418748017838[/C][/ROW]
[ROW][C]Trimmed Mean ( 22 / 36 )[/C][C]1305281.25[/C][C]16648.321283616[/C][C]78.4031751768607[/C][/ROW]
[ROW][C]Trimmed Mean ( 23 / 36 )[/C][C]1304738.70967742[/C][C]16229.8955656893[/C][C]80.3910724130408[/C][/ROW]
[ROW][C]Trimmed Mean ( 24 / 36 )[/C][C]1304160[/C][C]15720.5007036316[/C][C]82.9591896967204[/C][/ROW]
[ROW][C]Trimmed Mean ( 25 / 36 )[/C][C]1303944.82758621[/C][C]15419.8117337567[/C][C]84.5629538220395[/C][/ROW]
[ROW][C]Trimmed Mean ( 26 / 36 )[/C][C]1303714.28571429[/C][C]15046.2333873487[/C][C]86.6472194170857[/C][/ROW]
[ROW][C]Trimmed Mean ( 27 / 36 )[/C][C]1303466.66666667[/C][C]14802.4277004852[/C][C]88.0576276433317[/C][/ROW]
[ROW][C]Trimmed Mean ( 28 / 36 )[/C][C]1303200[/C][C]14491.2549694026[/C][C]89.930099411792[/C][/ROW]
[ROW][C]Trimmed Mean ( 29 / 36 )[/C][C]1302444[/C][C]14207.8900643844[/C][C]91.6704728216401[/C][/ROW]
[ROW][C]Trimmed Mean ( 30 / 36 )[/C][C]1301625[/C][C]13840.5581727008[/C][C]94.0442562907132[/C][/ROW]
[ROW][C]Trimmed Mean ( 31 / 36 )[/C][C]1301243.47826087[/C][C]13519.357262605[/C][C]96.2503951175366[/C][/ROW]
[ROW][C]Trimmed Mean ( 32 / 36 )[/C][C]1300827.27272727[/C][C]13096.324857538[/C][C]99.3276577114332[/C][/ROW]
[ROW][C]Trimmed Mean ( 33 / 36 )[/C][C]1300928.57142857[/C][C]12711.0673999077[/C][C]102.346131170543[/C][/ROW]
[ROW][C]Trimmed Mean ( 34 / 36 )[/C][C]1300455[/C][C]12367.579593437[/C][C]105.150323891192[/C][/ROW]
[ROW][C]Trimmed Mean ( 35 / 36 )[/C][C]1299931.57894737[/C][C]11896.316597219[/C][C]109.271770663136[/C][/ROW]
[ROW][C]Trimmed Mean ( 36 / 36 )[/C][C]1300000[/C][C]11472.874842116[/C][C]113.310745378988[/C][/ROW]
[ROW][C]Median[/C][C]1287000[/C][C][/C][C][/C][/ROW]
[ROW][C]Midrange[/C][C]1310400[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - Weighted Average at Xnp[/C][C]1303714.28571429[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - Weighted Average at X(n+1)p[/C][C]1303714.28571429[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - Empirical Distribution Function[/C][C]1303714.28571429[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - Empirical Distribution Function - Averaging[/C][C]1303714.28571429[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - Empirical Distribution Function - Interpolation[/C][C]1303714.28571429[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - Closest Observation[/C][C]1303714.28571429[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - True Basic - Statistics Graphics Toolkit[/C][C]1303714.28571429[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - MS Excel (old versions)[/C][C]1303714.28571429[/C][C][/C][C][/C][/ROW]
[ROW][C]Number of observations[/C][C]108[/C][C][/C][C][/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=279558&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=279558&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 Mean131365027395.222228238647.9517920700022
Geometric Mean1282086.59504271
Harmonic Mean1249154.09162548
Quadratic Mean1343867.41533531
Winsorized Mean ( 1 / 36 )1314083.3333333327109.563621931448.473053703832
Winsorized Mean ( 2 / 36 )131495026940.010806289448.8102996489152
Winsorized Mean ( 3 / 36 )131430026544.966258122549.5122121165944
Winsorized Mean ( 4 / 36 )1316033.3333333325920.670774816150.771577046222
Winsorized Mean ( 5 / 36 )1316033.3333333325920.670774816150.771577046222
Winsorized Mean ( 6 / 36 )1314733.3333333324761.913440140953.094981391949
Winsorized Mean ( 7 / 36 )1313216.6666666724487.848672483253.6272779299848
Winsorized Mean ( 8 / 36 )1306283.3333333323344.915405406155.9557963971389
Winsorized Mean ( 9 / 36 )1304333.3333333323056.009729165256.5723795511497
Winsorized Mean ( 10 / 36 )1304333.3333333323056.009729165256.5723795511497
Winsorized Mean ( 11 / 36 )1306716.6666666722684.72314291357.6033773228968
Winsorized Mean ( 12 / 36 )1306716.6666666721919.871719974759.6133354866265
Winsorized Mean ( 13 / 36 )1306716.6666666721919.871719974759.6133354866265
Winsorized Mean ( 14 / 36 )1312783.3333333320221.550852970564.9200124598993
Winsorized Mean ( 15 / 36 )1312783.3333333320221.550852970564.9200124598993
Winsorized Mean ( 16 / 36 )1312783.3333333320221.550852970564.9200124598993
Winsorized Mean ( 17 / 36 )1316466.6666666719750.782678341266.6538986381696
Winsorized Mean ( 18 / 36 )1316466.6666666719750.782678341266.6538986381696
Winsorized Mean ( 19 / 36 )1316466.6666666718672.989027223270.5011214191471
Winsorized Mean ( 20 / 36 )1312133.3333333318088.674505862172.538943243636
Winsorized Mean ( 21 / 36 )1312133.3333333318088.674505862172.538943243636
Winsorized Mean ( 22 / 36 )1312133.3333333318088.674505862172.538943243636
Winsorized Mean ( 23 / 36 )1312133.3333333318088.674505862172.538943243636
Winsorized Mean ( 24 / 36 )1306933.3333333316125.176872817581.0492401814493
Winsorized Mean ( 25 / 36 )1306933.3333333316125.176872817581.0492401814493
Winsorized Mean ( 26 / 36 )1306933.3333333314769.380495054188.4893807002259
Winsorized Mean ( 27 / 36 )1306933.3333333314769.380495054188.4893807002259
Winsorized Mean ( 28 / 36 )131300014081.292687048293.2442801368428
Winsorized Mean ( 29 / 36 )131300014081.292687048293.2442801368428
Winsorized Mean ( 30 / 36 )130650013299.676758070498.2354702122514
Winsorized Mean ( 31 / 36 )130650013299.676758070498.2354702122514
Winsorized Mean ( 32 / 36 )1299566.6666666712498.6125917474103.976874003179
Winsorized Mean ( 33 / 36 )1306716.6666666711698.6312225759111.698252710537
Winsorized Mean ( 34 / 36 )1306716.6666666711698.6312225759111.698252710537
Winsorized Mean ( 35 / 36 )1299133.3333333310842.3202599305119.820601327788
Winsorized Mean ( 36 / 36 )1306933.333333339993.30720996463130.780862218481
Trimmed Mean ( 1 / 36 )1313711.3207547226390.766862651849.7792022335615
Trimmed Mean ( 2 / 36 )131332525582.48972128851.3368719897165
Trimmed Mean ( 3 / 36 )1312464.7058823524772.779282394152.9801154291603
Trimmed Mean ( 4 / 36 )131180424026.992729768854.5970948072377
Trimmed Mean ( 5 / 36 )1310638.775510223393.832620057756.024970204603
Trimmed Mean ( 6 / 36 )130942522675.273891457957.7468217701785
Trimmed Mean ( 7 / 36 )1308408.510638322150.491480840159.0690509856206
Trimmed Mean ( 8 / 36 )1307602.1739130421615.355819656860.4941313399025
Trimmed Mean ( 9 / 36 )130780021239.04608619961.5752701271174
Trimmed Mean ( 10 / 36 )1308272.7272727320861.950881577562.7109484965771
Trimmed Mean ( 11 / 36 )1308767.4418604720428.967084690364.0642983286839
Trimmed Mean ( 12 / 36 )1309007.1428571419995.212406442665.4660283796421
Trimmed Mean ( 13 / 36 )1309258.5365853719620.758350256166.7282330893331
Trimmed Mean ( 14 / 36 )1309522.519186.463613621968.2524162019245
Trimmed Mean ( 15 / 36 )130920018942.592699570469.1140870082526
Trimmed Mean ( 16 / 36 )1308860.5263157918654.898051976670.161762485596
Trimmed Mean ( 17 / 36 )1308502.702702718315.57876967571.4420613816027
Trimmed Mean ( 18 / 36 )130780017982.910510329972.7246014625251
Trimmed Mean ( 19 / 36 )1307057.1428571417587.736713330374.3163923909824
Trimmed Mean ( 20 / 36 )1306270.5882352917277.842496877375.6038022959975
Trimmed Mean ( 21 / 36 )1305790.9090909116993.220330181276.8418748017838
Trimmed Mean ( 22 / 36 )1305281.2516648.32128361678.4031751768607
Trimmed Mean ( 23 / 36 )1304738.7096774216229.895565689380.3910724130408
Trimmed Mean ( 24 / 36 )130416015720.500703631682.9591896967204
Trimmed Mean ( 25 / 36 )1303944.8275862115419.811733756784.5629538220395
Trimmed Mean ( 26 / 36 )1303714.2857142915046.233387348786.6472194170857
Trimmed Mean ( 27 / 36 )1303466.6666666714802.427700485288.0576276433317
Trimmed Mean ( 28 / 36 )130320014491.254969402689.930099411792
Trimmed Mean ( 29 / 36 )130244414207.890064384491.6704728216401
Trimmed Mean ( 30 / 36 )130162513840.558172700894.0442562907132
Trimmed Mean ( 31 / 36 )1301243.4782608713519.35726260596.2503951175366
Trimmed Mean ( 32 / 36 )1300827.2727272713096.32485753899.3276577114332
Trimmed Mean ( 33 / 36 )1300928.5714285712711.0673999077102.346131170543
Trimmed Mean ( 34 / 36 )130045512367.579593437105.150323891192
Trimmed Mean ( 35 / 36 )1299931.5789473711896.316597219109.271770663136
Trimmed Mean ( 36 / 36 )130000011472.874842116113.310745378988
Median1287000
Midrange1310400
Midmean - Weighted Average at Xnp1303714.28571429
Midmean - Weighted Average at X(n+1)p1303714.28571429
Midmean - Empirical Distribution Function1303714.28571429
Midmean - Empirical Distribution Function - Averaging1303714.28571429
Midmean - Empirical Distribution Function - Interpolation1303714.28571429
Midmean - Closest Observation1303714.28571429
Midmean - True Basic - Statistics Graphics Toolkit1303714.28571429
Midmean - MS Excel (old versions)1303714.28571429
Number of observations108



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')