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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, 19 Aug 2013 11:01:17 -0400
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2013/Aug/19/t1376924569tdqe7ehcoaacta6.htm/, Retrieved Thu, 02 May 2024 09:11:47 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=211217, Retrieved Thu, 02 May 2024 09:11:47 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsJespers Eva
Estimated Impact125
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Central Tendency] [Tijdreeks B - Stap 9] [2013-08-19 15:01:17] [987ccabfb1247e6edeac48c68eb55107] [Current]
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Dataseries X:
19570
18845
19932
15946
20657
20294
21744
22469
25006
21744
20657
25730
21744
16308
19207
14496
20294
16670
22106
19932
21019
23556
23194
27542
19932
16670
18482
13409
19207
14858
21019
19932
17758
25368
22831
26093
19570
18120
16308
13409
17758
15946
21744
21019
18120
24281
22469
28992
23194
14134
14134
14134
16670
16670
22469
20657
18482
23194
21382
30804
24281
14134
14858
12322
17033
19570
24643
24281
19570
22831
20294
28992
22106
17758
15946
11959
17758
21382
25006
23556
17395
25006
19570
30079
25006
18120
16670
11234
17758
17033
25730
25730
19570
25368
18845
29354
25006
18482
14134
9785
19207
18482
24281
27905
20657
23194
17395
30079




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time4 seconds
R Server'George Udny Yule' @ yule.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 & 4 seconds \tabularnewline
R Server & 'George Udny Yule' @ yule.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=211217&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]4 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'George Udny Yule' @ yule.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=211217&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=211217&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 time4 seconds
R Server'George Udny Yule' @ yule.wessa.net







Central Tendency - Ungrouped Data
MeasureValueS.E.Value/S.E.
Arithmetic Mean20344.7777777778424.27242841791447.9521562446144
Geometric Mean19855.9556870202
Harmonic Mean19345.9305072436
Quadratic Mean20812.7543067546
Winsorized Mean ( 1 / 36 )20351.4814814815419.84913773457948.4733197054874
Winsorized Mean ( 2 / 36 )20364.9074074074417.2224043684648.8106755394244
Winsorized Mean ( 3 / 36 )20354.8518518519411.1001179695849.513125786449
Winsorized Mean ( 4 / 36 )20381.7037037037401.4360239423850.7719847948404
Winsorized Mean ( 5 / 36 )20381.7037037037401.4360239423850.7719847948404
Winsorized Mean ( 6 / 36 )20361.5925925926383.4906264578153.0954114333032
Winsorized Mean ( 7 / 36 )20338.0648148148379.23914585144253.6286009429569
Winsorized Mean ( 8 / 36 )20230.7314814815361.54587725210355.956194647394
Winsorized Mean ( 9 / 36 )20200.4814814815357.06420438177956.5738072693582
Winsorized Mean ( 10 / 36 )20200.4814814815357.06420438177956.5738072693582
Winsorized Mean ( 11 / 36 )20237.3518518519351.32046423502157.6036807190195
Winsorized Mean ( 12 / 36 )20237.3518518519339.48830845990159.6113366721205
Winsorized Mean ( 13 / 36 )20237.3518518519339.48830845990159.6113366721205
Winsorized Mean ( 14 / 36 )20331.462962963313.17904760332164.9196142543839
Winsorized Mean ( 15 / 36 )20331.462962963313.17904760332164.9196142543839
Winsorized Mean ( 16 / 36 )20331.462962963313.17904760332164.9196142543839
Winsorized Mean ( 17 / 36 )20388.4444444444305.89655955233666.6514343093034
Winsorized Mean ( 18 / 36 )20388.4444444444305.89655955233666.6514343093034
Winsorized Mean ( 19 / 36 )20388.2685185185289.1984227003470.4992383020164
Winsorized Mean ( 20 / 36 )20321.2314814815280.15928584012972.5345634021843
Winsorized Mean ( 21 / 36 )20321.2314814815280.15928584012972.5345634021843
Winsorized Mean ( 22 / 36 )20321.2314814815280.15928584012972.5345634021843
Winsorized Mean ( 23 / 36 )20321.2314814815280.15928584012972.5345634021843
Winsorized Mean ( 24 / 36 )20240.787037037249.72831241010381.0512306021501
Winsorized Mean ( 25 / 36 )20240.787037037249.72831241010381.0512306021501
Winsorized Mean ( 26 / 36 )20240.787037037228.7539005453288.4828061457557
Winsorized Mean ( 27 / 36 )20240.787037037228.7539005453288.4828061457557
Winsorized Mean ( 28 / 36 )20334.8981481481218.07994338416593.2451551141802
Winsorized Mean ( 29 / 36 )20334.8981481481218.07994338416593.2451551141802
Winsorized Mean ( 30 / 36 )20234.0648148148205.95453180626698.2453002483493
Winsorized Mean ( 31 / 36 )20234.0648148148205.95453180626698.2453002483493
Winsorized Mean ( 32 / 36 )20126.8055555556193.561804370513103.981287119173
Winsorized Mean ( 33 / 36 )20237.4166666667181.186494287472111.693847525731
Winsorized Mean ( 34 / 36 )20237.4166666667181.186494287472111.693847525731
Winsorized Mean ( 35 / 36 )20119.7777777778167.902854425669119.829873331217
Winsorized Mean ( 36 / 36 )20240.4444444444154.767968743766130.779285977156
Trimmed Mean ( 1 / 36 )20345.7264150943408.71653263485749.7795532858246
Trimmed Mean ( 2 / 36 )20339.75396.19806226974851.3373283137156
Trimmed Mean ( 3 / 36 )20326.431372549383.65783101195552.9806242164666
Trimmed Mean ( 4 / 36 )20316.2372.10937270179754.5973885379154
Trimmed Mean ( 5 / 36 )20298.1530612245362.30386986607456.0252173644398
Trimmed Mean ( 6 / 36 )20279.3541666667351.17583626708657.7470089691571
Trimmed Mean ( 7 / 36 )20263.6063829787343.04875855725659.0691727560841
Trimmed Mean ( 8 / 36 )20251.1195652174334.76295920231760.4939077294345
Trimmed Mean ( 9 / 36 )20254.1777777778328.93559493072361.5749042971269
Trimmed Mean ( 10 / 36 )20261.5323.09749152262662.7101742712885
Trimmed Mean ( 11 / 36 )20269.1627906977316.39411381367664.0630211048559
Trimmed Mean ( 12 / 36 )20272.880952381309.67798240095365.4643923833527
Trimmed Mean ( 13 / 36 )20276.7804878049303.87825817545266.7266576080529
Trimmed Mean ( 14 / 36 )20280.875297.15169397564468.2509149742969
Trimmed Mean ( 15 / 36 )20275.8717948718293.3752382573769.1124169691659
Trimmed Mean ( 16 / 36 )20270.6052631579288.92012681158770.1598932786601
Trimmed Mean ( 17 / 36 )20265.0540540541283.66555669180871.4399530573648
Trimmed Mean ( 18 / 36 )20254.1666666667278.51282902434272.7225626827282
Trimmed Mean ( 19 / 36 )20242.6571428571272.39195353422774.3144460774742
Trimmed Mean ( 20 / 36 )20230.4852941176267.59273703075375.6017727483861
Trimmed Mean ( 21 / 36 )20223.0606060606263.18339558260676.8401842422203
Trimmed Mean ( 22 / 36 )20215.171875257.84030290650978.4019086509135
Trimmed Mean ( 23 / 36 )20206.7741935484251.35819576911480.390353422609
Trimmed Mean ( 24 / 36 )20197.8166666667243.46685233801882.9592056278156
Trimmed Mean ( 25 / 36 )20194.4827586207238.81090186377484.5626502015402
Trimmed Mean ( 26 / 36 )20190.9107142857233.02627391685986.6464985896379
Trimmed Mean ( 27 / 36 )20187.0740740741229.24798496531788.0578037670786
Trimmed Mean ( 28 / 36 )20182.9423076923224.42586949825289.9314430765724
Trimmed Mean ( 29 / 36 )20171.22220.03665982128191.6720878074751
Trimmed Mean ( 30 / 36 )20158.5208333333214.3468472190694.0462670427409
Trimmed Mean ( 31 / 36 )20152.6086956522209.37530613607696.2511246792144
Trimmed Mean ( 32 / 36 )20146.1590909091202.82744763191599.3265917710986
Trimmed Mean ( 33 / 36 )20147.7142857143196.862649506869102.344016684644
Trimmed Mean ( 34 / 36 )20140.375191.541980695068105.148620302007
Trimmed Mean ( 35 / 36 )20132.2631578947184.24210479179109.270696731597
Trimmed Mean ( 36 / 36 )20133.3333333333177.68798228248113.307231444197
Median19932
Midrange20294.5
Midmean - Weighted Average at Xnp20190.9107142857
Midmean - Weighted Average at X(n+1)p20190.9107142857
Midmean - Empirical Distribution Function20190.9107142857
Midmean - Empirical Distribution Function - Averaging20190.9107142857
Midmean - Empirical Distribution Function - Interpolation20190.9107142857
Midmean - Closest Observation20190.9107142857
Midmean - True Basic - Statistics Graphics Toolkit20190.9107142857
Midmean - MS Excel (old versions)20190.9107142857
Number of observations108

\begin{tabular}{lllllllll}
\hline
Central Tendency - Ungrouped Data \tabularnewline
Measure & Value & S.E. & Value/S.E. \tabularnewline
Arithmetic Mean & 20344.7777777778 & 424.272428417914 & 47.9521562446144 \tabularnewline
Geometric Mean & 19855.9556870202 &  &  \tabularnewline
Harmonic Mean & 19345.9305072436 &  &  \tabularnewline
Quadratic Mean & 20812.7543067546 &  &  \tabularnewline
Winsorized Mean ( 1 / 36 ) & 20351.4814814815 & 419.849137734579 & 48.4733197054874 \tabularnewline
Winsorized Mean ( 2 / 36 ) & 20364.9074074074 & 417.22240436846 & 48.8106755394244 \tabularnewline
Winsorized Mean ( 3 / 36 ) & 20354.8518518519 & 411.10011796958 & 49.513125786449 \tabularnewline
Winsorized Mean ( 4 / 36 ) & 20381.7037037037 & 401.43602394238 & 50.7719847948404 \tabularnewline
Winsorized Mean ( 5 / 36 ) & 20381.7037037037 & 401.43602394238 & 50.7719847948404 \tabularnewline
Winsorized Mean ( 6 / 36 ) & 20361.5925925926 & 383.49062645781 & 53.0954114333032 \tabularnewline
Winsorized Mean ( 7 / 36 ) & 20338.0648148148 & 379.239145851442 & 53.6286009429569 \tabularnewline
Winsorized Mean ( 8 / 36 ) & 20230.7314814815 & 361.545877252103 & 55.956194647394 \tabularnewline
Winsorized Mean ( 9 / 36 ) & 20200.4814814815 & 357.064204381779 & 56.5738072693582 \tabularnewline
Winsorized Mean ( 10 / 36 ) & 20200.4814814815 & 357.064204381779 & 56.5738072693582 \tabularnewline
Winsorized Mean ( 11 / 36 ) & 20237.3518518519 & 351.320464235021 & 57.6036807190195 \tabularnewline
Winsorized Mean ( 12 / 36 ) & 20237.3518518519 & 339.488308459901 & 59.6113366721205 \tabularnewline
Winsorized Mean ( 13 / 36 ) & 20237.3518518519 & 339.488308459901 & 59.6113366721205 \tabularnewline
Winsorized Mean ( 14 / 36 ) & 20331.462962963 & 313.179047603321 & 64.9196142543839 \tabularnewline
Winsorized Mean ( 15 / 36 ) & 20331.462962963 & 313.179047603321 & 64.9196142543839 \tabularnewline
Winsorized Mean ( 16 / 36 ) & 20331.462962963 & 313.179047603321 & 64.9196142543839 \tabularnewline
Winsorized Mean ( 17 / 36 ) & 20388.4444444444 & 305.896559552336 & 66.6514343093034 \tabularnewline
Winsorized Mean ( 18 / 36 ) & 20388.4444444444 & 305.896559552336 & 66.6514343093034 \tabularnewline
Winsorized Mean ( 19 / 36 ) & 20388.2685185185 & 289.19842270034 & 70.4992383020164 \tabularnewline
Winsorized Mean ( 20 / 36 ) & 20321.2314814815 & 280.159285840129 & 72.5345634021843 \tabularnewline
Winsorized Mean ( 21 / 36 ) & 20321.2314814815 & 280.159285840129 & 72.5345634021843 \tabularnewline
Winsorized Mean ( 22 / 36 ) & 20321.2314814815 & 280.159285840129 & 72.5345634021843 \tabularnewline
Winsorized Mean ( 23 / 36 ) & 20321.2314814815 & 280.159285840129 & 72.5345634021843 \tabularnewline
Winsorized Mean ( 24 / 36 ) & 20240.787037037 & 249.728312410103 & 81.0512306021501 \tabularnewline
Winsorized Mean ( 25 / 36 ) & 20240.787037037 & 249.728312410103 & 81.0512306021501 \tabularnewline
Winsorized Mean ( 26 / 36 ) & 20240.787037037 & 228.75390054532 & 88.4828061457557 \tabularnewline
Winsorized Mean ( 27 / 36 ) & 20240.787037037 & 228.75390054532 & 88.4828061457557 \tabularnewline
Winsorized Mean ( 28 / 36 ) & 20334.8981481481 & 218.079943384165 & 93.2451551141802 \tabularnewline
Winsorized Mean ( 29 / 36 ) & 20334.8981481481 & 218.079943384165 & 93.2451551141802 \tabularnewline
Winsorized Mean ( 30 / 36 ) & 20234.0648148148 & 205.954531806266 & 98.2453002483493 \tabularnewline
Winsorized Mean ( 31 / 36 ) & 20234.0648148148 & 205.954531806266 & 98.2453002483493 \tabularnewline
Winsorized Mean ( 32 / 36 ) & 20126.8055555556 & 193.561804370513 & 103.981287119173 \tabularnewline
Winsorized Mean ( 33 / 36 ) & 20237.4166666667 & 181.186494287472 & 111.693847525731 \tabularnewline
Winsorized Mean ( 34 / 36 ) & 20237.4166666667 & 181.186494287472 & 111.693847525731 \tabularnewline
Winsorized Mean ( 35 / 36 ) & 20119.7777777778 & 167.902854425669 & 119.829873331217 \tabularnewline
Winsorized Mean ( 36 / 36 ) & 20240.4444444444 & 154.767968743766 & 130.779285977156 \tabularnewline
Trimmed Mean ( 1 / 36 ) & 20345.7264150943 & 408.716532634857 & 49.7795532858246 \tabularnewline
Trimmed Mean ( 2 / 36 ) & 20339.75 & 396.198062269748 & 51.3373283137156 \tabularnewline
Trimmed Mean ( 3 / 36 ) & 20326.431372549 & 383.657831011955 & 52.9806242164666 \tabularnewline
Trimmed Mean ( 4 / 36 ) & 20316.2 & 372.109372701797 & 54.5973885379154 \tabularnewline
Trimmed Mean ( 5 / 36 ) & 20298.1530612245 & 362.303869866074 & 56.0252173644398 \tabularnewline
Trimmed Mean ( 6 / 36 ) & 20279.3541666667 & 351.175836267086 & 57.7470089691571 \tabularnewline
Trimmed Mean ( 7 / 36 ) & 20263.6063829787 & 343.048758557256 & 59.0691727560841 \tabularnewline
Trimmed Mean ( 8 / 36 ) & 20251.1195652174 & 334.762959202317 & 60.4939077294345 \tabularnewline
Trimmed Mean ( 9 / 36 ) & 20254.1777777778 & 328.935594930723 & 61.5749042971269 \tabularnewline
Trimmed Mean ( 10 / 36 ) & 20261.5 & 323.097491522626 & 62.7101742712885 \tabularnewline
Trimmed Mean ( 11 / 36 ) & 20269.1627906977 & 316.394113813676 & 64.0630211048559 \tabularnewline
Trimmed Mean ( 12 / 36 ) & 20272.880952381 & 309.677982400953 & 65.4643923833527 \tabularnewline
Trimmed Mean ( 13 / 36 ) & 20276.7804878049 & 303.878258175452 & 66.7266576080529 \tabularnewline
Trimmed Mean ( 14 / 36 ) & 20280.875 & 297.151693975644 & 68.2509149742969 \tabularnewline
Trimmed Mean ( 15 / 36 ) & 20275.8717948718 & 293.37523825737 & 69.1124169691659 \tabularnewline
Trimmed Mean ( 16 / 36 ) & 20270.6052631579 & 288.920126811587 & 70.1598932786601 \tabularnewline
Trimmed Mean ( 17 / 36 ) & 20265.0540540541 & 283.665556691808 & 71.4399530573648 \tabularnewline
Trimmed Mean ( 18 / 36 ) & 20254.1666666667 & 278.512829024342 & 72.7225626827282 \tabularnewline
Trimmed Mean ( 19 / 36 ) & 20242.6571428571 & 272.391953534227 & 74.3144460774742 \tabularnewline
Trimmed Mean ( 20 / 36 ) & 20230.4852941176 & 267.592737030753 & 75.6017727483861 \tabularnewline
Trimmed Mean ( 21 / 36 ) & 20223.0606060606 & 263.183395582606 & 76.8401842422203 \tabularnewline
Trimmed Mean ( 22 / 36 ) & 20215.171875 & 257.840302906509 & 78.4019086509135 \tabularnewline
Trimmed Mean ( 23 / 36 ) & 20206.7741935484 & 251.358195769114 & 80.390353422609 \tabularnewline
Trimmed Mean ( 24 / 36 ) & 20197.8166666667 & 243.466852338018 & 82.9592056278156 \tabularnewline
Trimmed Mean ( 25 / 36 ) & 20194.4827586207 & 238.810901863774 & 84.5626502015402 \tabularnewline
Trimmed Mean ( 26 / 36 ) & 20190.9107142857 & 233.026273916859 & 86.6464985896379 \tabularnewline
Trimmed Mean ( 27 / 36 ) & 20187.0740740741 & 229.247984965317 & 88.0578037670786 \tabularnewline
Trimmed Mean ( 28 / 36 ) & 20182.9423076923 & 224.425869498252 & 89.9314430765724 \tabularnewline
Trimmed Mean ( 29 / 36 ) & 20171.22 & 220.036659821281 & 91.6720878074751 \tabularnewline
Trimmed Mean ( 30 / 36 ) & 20158.5208333333 & 214.34684721906 & 94.0462670427409 \tabularnewline
Trimmed Mean ( 31 / 36 ) & 20152.6086956522 & 209.375306136076 & 96.2511246792144 \tabularnewline
Trimmed Mean ( 32 / 36 ) & 20146.1590909091 & 202.827447631915 & 99.3265917710986 \tabularnewline
Trimmed Mean ( 33 / 36 ) & 20147.7142857143 & 196.862649506869 & 102.344016684644 \tabularnewline
Trimmed Mean ( 34 / 36 ) & 20140.375 & 191.541980695068 & 105.148620302007 \tabularnewline
Trimmed Mean ( 35 / 36 ) & 20132.2631578947 & 184.24210479179 & 109.270696731597 \tabularnewline
Trimmed Mean ( 36 / 36 ) & 20133.3333333333 & 177.68798228248 & 113.307231444197 \tabularnewline
Median & 19932 &  &  \tabularnewline
Midrange & 20294.5 &  &  \tabularnewline
Midmean - Weighted Average at Xnp & 20190.9107142857 &  &  \tabularnewline
Midmean - Weighted Average at X(n+1)p & 20190.9107142857 &  &  \tabularnewline
Midmean - Empirical Distribution Function & 20190.9107142857 &  &  \tabularnewline
Midmean - Empirical Distribution Function - Averaging & 20190.9107142857 &  &  \tabularnewline
Midmean - Empirical Distribution Function - Interpolation & 20190.9107142857 &  &  \tabularnewline
Midmean - Closest Observation & 20190.9107142857 &  &  \tabularnewline
Midmean - True Basic - Statistics Graphics Toolkit & 20190.9107142857 &  &  \tabularnewline
Midmean - MS Excel (old versions) & 20190.9107142857 &  &  \tabularnewline
Number of observations & 108 &  &  \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=211217&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]20344.7777777778[/C][C]424.272428417914[/C][C]47.9521562446144[/C][/ROW]
[ROW][C]Geometric Mean[/C][C]19855.9556870202[/C][C][/C][C][/C][/ROW]
[ROW][C]Harmonic Mean[/C][C]19345.9305072436[/C][C][/C][C][/C][/ROW]
[ROW][C]Quadratic Mean[/C][C]20812.7543067546[/C][C][/C][C][/C][/ROW]
[ROW][C]Winsorized Mean ( 1 / 36 )[/C][C]20351.4814814815[/C][C]419.849137734579[/C][C]48.4733197054874[/C][/ROW]
[ROW][C]Winsorized Mean ( 2 / 36 )[/C][C]20364.9074074074[/C][C]417.22240436846[/C][C]48.8106755394244[/C][/ROW]
[ROW][C]Winsorized Mean ( 3 / 36 )[/C][C]20354.8518518519[/C][C]411.10011796958[/C][C]49.513125786449[/C][/ROW]
[ROW][C]Winsorized Mean ( 4 / 36 )[/C][C]20381.7037037037[/C][C]401.43602394238[/C][C]50.7719847948404[/C][/ROW]
[ROW][C]Winsorized Mean ( 5 / 36 )[/C][C]20381.7037037037[/C][C]401.43602394238[/C][C]50.7719847948404[/C][/ROW]
[ROW][C]Winsorized Mean ( 6 / 36 )[/C][C]20361.5925925926[/C][C]383.49062645781[/C][C]53.0954114333032[/C][/ROW]
[ROW][C]Winsorized Mean ( 7 / 36 )[/C][C]20338.0648148148[/C][C]379.239145851442[/C][C]53.6286009429569[/C][/ROW]
[ROW][C]Winsorized Mean ( 8 / 36 )[/C][C]20230.7314814815[/C][C]361.545877252103[/C][C]55.956194647394[/C][/ROW]
[ROW][C]Winsorized Mean ( 9 / 36 )[/C][C]20200.4814814815[/C][C]357.064204381779[/C][C]56.5738072693582[/C][/ROW]
[ROW][C]Winsorized Mean ( 10 / 36 )[/C][C]20200.4814814815[/C][C]357.064204381779[/C][C]56.5738072693582[/C][/ROW]
[ROW][C]Winsorized Mean ( 11 / 36 )[/C][C]20237.3518518519[/C][C]351.320464235021[/C][C]57.6036807190195[/C][/ROW]
[ROW][C]Winsorized Mean ( 12 / 36 )[/C][C]20237.3518518519[/C][C]339.488308459901[/C][C]59.6113366721205[/C][/ROW]
[ROW][C]Winsorized Mean ( 13 / 36 )[/C][C]20237.3518518519[/C][C]339.488308459901[/C][C]59.6113366721205[/C][/ROW]
[ROW][C]Winsorized Mean ( 14 / 36 )[/C][C]20331.462962963[/C][C]313.179047603321[/C][C]64.9196142543839[/C][/ROW]
[ROW][C]Winsorized Mean ( 15 / 36 )[/C][C]20331.462962963[/C][C]313.179047603321[/C][C]64.9196142543839[/C][/ROW]
[ROW][C]Winsorized Mean ( 16 / 36 )[/C][C]20331.462962963[/C][C]313.179047603321[/C][C]64.9196142543839[/C][/ROW]
[ROW][C]Winsorized Mean ( 17 / 36 )[/C][C]20388.4444444444[/C][C]305.896559552336[/C][C]66.6514343093034[/C][/ROW]
[ROW][C]Winsorized Mean ( 18 / 36 )[/C][C]20388.4444444444[/C][C]305.896559552336[/C][C]66.6514343093034[/C][/ROW]
[ROW][C]Winsorized Mean ( 19 / 36 )[/C][C]20388.2685185185[/C][C]289.19842270034[/C][C]70.4992383020164[/C][/ROW]
[ROW][C]Winsorized Mean ( 20 / 36 )[/C][C]20321.2314814815[/C][C]280.159285840129[/C][C]72.5345634021843[/C][/ROW]
[ROW][C]Winsorized Mean ( 21 / 36 )[/C][C]20321.2314814815[/C][C]280.159285840129[/C][C]72.5345634021843[/C][/ROW]
[ROW][C]Winsorized Mean ( 22 / 36 )[/C][C]20321.2314814815[/C][C]280.159285840129[/C][C]72.5345634021843[/C][/ROW]
[ROW][C]Winsorized Mean ( 23 / 36 )[/C][C]20321.2314814815[/C][C]280.159285840129[/C][C]72.5345634021843[/C][/ROW]
[ROW][C]Winsorized Mean ( 24 / 36 )[/C][C]20240.787037037[/C][C]249.728312410103[/C][C]81.0512306021501[/C][/ROW]
[ROW][C]Winsorized Mean ( 25 / 36 )[/C][C]20240.787037037[/C][C]249.728312410103[/C][C]81.0512306021501[/C][/ROW]
[ROW][C]Winsorized Mean ( 26 / 36 )[/C][C]20240.787037037[/C][C]228.75390054532[/C][C]88.4828061457557[/C][/ROW]
[ROW][C]Winsorized Mean ( 27 / 36 )[/C][C]20240.787037037[/C][C]228.75390054532[/C][C]88.4828061457557[/C][/ROW]
[ROW][C]Winsorized Mean ( 28 / 36 )[/C][C]20334.8981481481[/C][C]218.079943384165[/C][C]93.2451551141802[/C][/ROW]
[ROW][C]Winsorized Mean ( 29 / 36 )[/C][C]20334.8981481481[/C][C]218.079943384165[/C][C]93.2451551141802[/C][/ROW]
[ROW][C]Winsorized Mean ( 30 / 36 )[/C][C]20234.0648148148[/C][C]205.954531806266[/C][C]98.2453002483493[/C][/ROW]
[ROW][C]Winsorized Mean ( 31 / 36 )[/C][C]20234.0648148148[/C][C]205.954531806266[/C][C]98.2453002483493[/C][/ROW]
[ROW][C]Winsorized Mean ( 32 / 36 )[/C][C]20126.8055555556[/C][C]193.561804370513[/C][C]103.981287119173[/C][/ROW]
[ROW][C]Winsorized Mean ( 33 / 36 )[/C][C]20237.4166666667[/C][C]181.186494287472[/C][C]111.693847525731[/C][/ROW]
[ROW][C]Winsorized Mean ( 34 / 36 )[/C][C]20237.4166666667[/C][C]181.186494287472[/C][C]111.693847525731[/C][/ROW]
[ROW][C]Winsorized Mean ( 35 / 36 )[/C][C]20119.7777777778[/C][C]167.902854425669[/C][C]119.829873331217[/C][/ROW]
[ROW][C]Winsorized Mean ( 36 / 36 )[/C][C]20240.4444444444[/C][C]154.767968743766[/C][C]130.779285977156[/C][/ROW]
[ROW][C]Trimmed Mean ( 1 / 36 )[/C][C]20345.7264150943[/C][C]408.716532634857[/C][C]49.7795532858246[/C][/ROW]
[ROW][C]Trimmed Mean ( 2 / 36 )[/C][C]20339.75[/C][C]396.198062269748[/C][C]51.3373283137156[/C][/ROW]
[ROW][C]Trimmed Mean ( 3 / 36 )[/C][C]20326.431372549[/C][C]383.657831011955[/C][C]52.9806242164666[/C][/ROW]
[ROW][C]Trimmed Mean ( 4 / 36 )[/C][C]20316.2[/C][C]372.109372701797[/C][C]54.5973885379154[/C][/ROW]
[ROW][C]Trimmed Mean ( 5 / 36 )[/C][C]20298.1530612245[/C][C]362.303869866074[/C][C]56.0252173644398[/C][/ROW]
[ROW][C]Trimmed Mean ( 6 / 36 )[/C][C]20279.3541666667[/C][C]351.175836267086[/C][C]57.7470089691571[/C][/ROW]
[ROW][C]Trimmed Mean ( 7 / 36 )[/C][C]20263.6063829787[/C][C]343.048758557256[/C][C]59.0691727560841[/C][/ROW]
[ROW][C]Trimmed Mean ( 8 / 36 )[/C][C]20251.1195652174[/C][C]334.762959202317[/C][C]60.4939077294345[/C][/ROW]
[ROW][C]Trimmed Mean ( 9 / 36 )[/C][C]20254.1777777778[/C][C]328.935594930723[/C][C]61.5749042971269[/C][/ROW]
[ROW][C]Trimmed Mean ( 10 / 36 )[/C][C]20261.5[/C][C]323.097491522626[/C][C]62.7101742712885[/C][/ROW]
[ROW][C]Trimmed Mean ( 11 / 36 )[/C][C]20269.1627906977[/C][C]316.394113813676[/C][C]64.0630211048559[/C][/ROW]
[ROW][C]Trimmed Mean ( 12 / 36 )[/C][C]20272.880952381[/C][C]309.677982400953[/C][C]65.4643923833527[/C][/ROW]
[ROW][C]Trimmed Mean ( 13 / 36 )[/C][C]20276.7804878049[/C][C]303.878258175452[/C][C]66.7266576080529[/C][/ROW]
[ROW][C]Trimmed Mean ( 14 / 36 )[/C][C]20280.875[/C][C]297.151693975644[/C][C]68.2509149742969[/C][/ROW]
[ROW][C]Trimmed Mean ( 15 / 36 )[/C][C]20275.8717948718[/C][C]293.37523825737[/C][C]69.1124169691659[/C][/ROW]
[ROW][C]Trimmed Mean ( 16 / 36 )[/C][C]20270.6052631579[/C][C]288.920126811587[/C][C]70.1598932786601[/C][/ROW]
[ROW][C]Trimmed Mean ( 17 / 36 )[/C][C]20265.0540540541[/C][C]283.665556691808[/C][C]71.4399530573648[/C][/ROW]
[ROW][C]Trimmed Mean ( 18 / 36 )[/C][C]20254.1666666667[/C][C]278.512829024342[/C][C]72.7225626827282[/C][/ROW]
[ROW][C]Trimmed Mean ( 19 / 36 )[/C][C]20242.6571428571[/C][C]272.391953534227[/C][C]74.3144460774742[/C][/ROW]
[ROW][C]Trimmed Mean ( 20 / 36 )[/C][C]20230.4852941176[/C][C]267.592737030753[/C][C]75.6017727483861[/C][/ROW]
[ROW][C]Trimmed Mean ( 21 / 36 )[/C][C]20223.0606060606[/C][C]263.183395582606[/C][C]76.8401842422203[/C][/ROW]
[ROW][C]Trimmed Mean ( 22 / 36 )[/C][C]20215.171875[/C][C]257.840302906509[/C][C]78.4019086509135[/C][/ROW]
[ROW][C]Trimmed Mean ( 23 / 36 )[/C][C]20206.7741935484[/C][C]251.358195769114[/C][C]80.390353422609[/C][/ROW]
[ROW][C]Trimmed Mean ( 24 / 36 )[/C][C]20197.8166666667[/C][C]243.466852338018[/C][C]82.9592056278156[/C][/ROW]
[ROW][C]Trimmed Mean ( 25 / 36 )[/C][C]20194.4827586207[/C][C]238.810901863774[/C][C]84.5626502015402[/C][/ROW]
[ROW][C]Trimmed Mean ( 26 / 36 )[/C][C]20190.9107142857[/C][C]233.026273916859[/C][C]86.6464985896379[/C][/ROW]
[ROW][C]Trimmed Mean ( 27 / 36 )[/C][C]20187.0740740741[/C][C]229.247984965317[/C][C]88.0578037670786[/C][/ROW]
[ROW][C]Trimmed Mean ( 28 / 36 )[/C][C]20182.9423076923[/C][C]224.425869498252[/C][C]89.9314430765724[/C][/ROW]
[ROW][C]Trimmed Mean ( 29 / 36 )[/C][C]20171.22[/C][C]220.036659821281[/C][C]91.6720878074751[/C][/ROW]
[ROW][C]Trimmed Mean ( 30 / 36 )[/C][C]20158.5208333333[/C][C]214.34684721906[/C][C]94.0462670427409[/C][/ROW]
[ROW][C]Trimmed Mean ( 31 / 36 )[/C][C]20152.6086956522[/C][C]209.375306136076[/C][C]96.2511246792144[/C][/ROW]
[ROW][C]Trimmed Mean ( 32 / 36 )[/C][C]20146.1590909091[/C][C]202.827447631915[/C][C]99.3265917710986[/C][/ROW]
[ROW][C]Trimmed Mean ( 33 / 36 )[/C][C]20147.7142857143[/C][C]196.862649506869[/C][C]102.344016684644[/C][/ROW]
[ROW][C]Trimmed Mean ( 34 / 36 )[/C][C]20140.375[/C][C]191.541980695068[/C][C]105.148620302007[/C][/ROW]
[ROW][C]Trimmed Mean ( 35 / 36 )[/C][C]20132.2631578947[/C][C]184.24210479179[/C][C]109.270696731597[/C][/ROW]
[ROW][C]Trimmed Mean ( 36 / 36 )[/C][C]20133.3333333333[/C][C]177.68798228248[/C][C]113.307231444197[/C][/ROW]
[ROW][C]Median[/C][C]19932[/C][C][/C][C][/C][/ROW]
[ROW][C]Midrange[/C][C]20294.5[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - Weighted Average at Xnp[/C][C]20190.9107142857[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - Weighted Average at X(n+1)p[/C][C]20190.9107142857[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - Empirical Distribution Function[/C][C]20190.9107142857[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - Empirical Distribution Function - Averaging[/C][C]20190.9107142857[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - Empirical Distribution Function - Interpolation[/C][C]20190.9107142857[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - Closest Observation[/C][C]20190.9107142857[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - True Basic - Statistics Graphics Toolkit[/C][C]20190.9107142857[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - MS Excel (old versions)[/C][C]20190.9107142857[/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=211217&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=211217&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 Mean20344.7777777778424.27242841791447.9521562446144
Geometric Mean19855.9556870202
Harmonic Mean19345.9305072436
Quadratic Mean20812.7543067546
Winsorized Mean ( 1 / 36 )20351.4814814815419.84913773457948.4733197054874
Winsorized Mean ( 2 / 36 )20364.9074074074417.2224043684648.8106755394244
Winsorized Mean ( 3 / 36 )20354.8518518519411.1001179695849.513125786449
Winsorized Mean ( 4 / 36 )20381.7037037037401.4360239423850.7719847948404
Winsorized Mean ( 5 / 36 )20381.7037037037401.4360239423850.7719847948404
Winsorized Mean ( 6 / 36 )20361.5925925926383.4906264578153.0954114333032
Winsorized Mean ( 7 / 36 )20338.0648148148379.23914585144253.6286009429569
Winsorized Mean ( 8 / 36 )20230.7314814815361.54587725210355.956194647394
Winsorized Mean ( 9 / 36 )20200.4814814815357.06420438177956.5738072693582
Winsorized Mean ( 10 / 36 )20200.4814814815357.06420438177956.5738072693582
Winsorized Mean ( 11 / 36 )20237.3518518519351.32046423502157.6036807190195
Winsorized Mean ( 12 / 36 )20237.3518518519339.48830845990159.6113366721205
Winsorized Mean ( 13 / 36 )20237.3518518519339.48830845990159.6113366721205
Winsorized Mean ( 14 / 36 )20331.462962963313.17904760332164.9196142543839
Winsorized Mean ( 15 / 36 )20331.462962963313.17904760332164.9196142543839
Winsorized Mean ( 16 / 36 )20331.462962963313.17904760332164.9196142543839
Winsorized Mean ( 17 / 36 )20388.4444444444305.89655955233666.6514343093034
Winsorized Mean ( 18 / 36 )20388.4444444444305.89655955233666.6514343093034
Winsorized Mean ( 19 / 36 )20388.2685185185289.1984227003470.4992383020164
Winsorized Mean ( 20 / 36 )20321.2314814815280.15928584012972.5345634021843
Winsorized Mean ( 21 / 36 )20321.2314814815280.15928584012972.5345634021843
Winsorized Mean ( 22 / 36 )20321.2314814815280.15928584012972.5345634021843
Winsorized Mean ( 23 / 36 )20321.2314814815280.15928584012972.5345634021843
Winsorized Mean ( 24 / 36 )20240.787037037249.72831241010381.0512306021501
Winsorized Mean ( 25 / 36 )20240.787037037249.72831241010381.0512306021501
Winsorized Mean ( 26 / 36 )20240.787037037228.7539005453288.4828061457557
Winsorized Mean ( 27 / 36 )20240.787037037228.7539005453288.4828061457557
Winsorized Mean ( 28 / 36 )20334.8981481481218.07994338416593.2451551141802
Winsorized Mean ( 29 / 36 )20334.8981481481218.07994338416593.2451551141802
Winsorized Mean ( 30 / 36 )20234.0648148148205.95453180626698.2453002483493
Winsorized Mean ( 31 / 36 )20234.0648148148205.95453180626698.2453002483493
Winsorized Mean ( 32 / 36 )20126.8055555556193.561804370513103.981287119173
Winsorized Mean ( 33 / 36 )20237.4166666667181.186494287472111.693847525731
Winsorized Mean ( 34 / 36 )20237.4166666667181.186494287472111.693847525731
Winsorized Mean ( 35 / 36 )20119.7777777778167.902854425669119.829873331217
Winsorized Mean ( 36 / 36 )20240.4444444444154.767968743766130.779285977156
Trimmed Mean ( 1 / 36 )20345.7264150943408.71653263485749.7795532858246
Trimmed Mean ( 2 / 36 )20339.75396.19806226974851.3373283137156
Trimmed Mean ( 3 / 36 )20326.431372549383.65783101195552.9806242164666
Trimmed Mean ( 4 / 36 )20316.2372.10937270179754.5973885379154
Trimmed Mean ( 5 / 36 )20298.1530612245362.30386986607456.0252173644398
Trimmed Mean ( 6 / 36 )20279.3541666667351.17583626708657.7470089691571
Trimmed Mean ( 7 / 36 )20263.6063829787343.04875855725659.0691727560841
Trimmed Mean ( 8 / 36 )20251.1195652174334.76295920231760.4939077294345
Trimmed Mean ( 9 / 36 )20254.1777777778328.93559493072361.5749042971269
Trimmed Mean ( 10 / 36 )20261.5323.09749152262662.7101742712885
Trimmed Mean ( 11 / 36 )20269.1627906977316.39411381367664.0630211048559
Trimmed Mean ( 12 / 36 )20272.880952381309.67798240095365.4643923833527
Trimmed Mean ( 13 / 36 )20276.7804878049303.87825817545266.7266576080529
Trimmed Mean ( 14 / 36 )20280.875297.15169397564468.2509149742969
Trimmed Mean ( 15 / 36 )20275.8717948718293.3752382573769.1124169691659
Trimmed Mean ( 16 / 36 )20270.6052631579288.92012681158770.1598932786601
Trimmed Mean ( 17 / 36 )20265.0540540541283.66555669180871.4399530573648
Trimmed Mean ( 18 / 36 )20254.1666666667278.51282902434272.7225626827282
Trimmed Mean ( 19 / 36 )20242.6571428571272.39195353422774.3144460774742
Trimmed Mean ( 20 / 36 )20230.4852941176267.59273703075375.6017727483861
Trimmed Mean ( 21 / 36 )20223.0606060606263.18339558260676.8401842422203
Trimmed Mean ( 22 / 36 )20215.171875257.84030290650978.4019086509135
Trimmed Mean ( 23 / 36 )20206.7741935484251.35819576911480.390353422609
Trimmed Mean ( 24 / 36 )20197.8166666667243.46685233801882.9592056278156
Trimmed Mean ( 25 / 36 )20194.4827586207238.81090186377484.5626502015402
Trimmed Mean ( 26 / 36 )20190.9107142857233.02627391685986.6464985896379
Trimmed Mean ( 27 / 36 )20187.0740740741229.24798496531788.0578037670786
Trimmed Mean ( 28 / 36 )20182.9423076923224.42586949825289.9314430765724
Trimmed Mean ( 29 / 36 )20171.22220.03665982128191.6720878074751
Trimmed Mean ( 30 / 36 )20158.5208333333214.3468472190694.0462670427409
Trimmed Mean ( 31 / 36 )20152.6086956522209.37530613607696.2511246792144
Trimmed Mean ( 32 / 36 )20146.1590909091202.82744763191599.3265917710986
Trimmed Mean ( 33 / 36 )20147.7142857143196.862649506869102.344016684644
Trimmed Mean ( 34 / 36 )20140.375191.541980695068105.148620302007
Trimmed Mean ( 35 / 36 )20132.2631578947184.24210479179109.270696731597
Trimmed Mean ( 36 / 36 )20133.3333333333177.68798228248113.307231444197
Median19932
Midrange20294.5
Midmean - Weighted Average at Xnp20190.9107142857
Midmean - Weighted Average at X(n+1)p20190.9107142857
Midmean - Empirical Distribution Function20190.9107142857
Midmean - Empirical Distribution Function - Averaging20190.9107142857
Midmean - Empirical Distribution Function - Interpolation20190.9107142857
Midmean - Closest Observation20190.9107142857
Midmean - True Basic - Statistics Graphics Toolkit20190.9107142857
Midmean - MS Excel (old versions)20190.9107142857
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')