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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 computationFri, 09 Oct 2015 15:44:22 +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/Oct/09/t1444401925y38ts2uah69izjt.htm/, Retrieved Mon, 13 May 2024 23:56:31 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=281922, Retrieved Mon, 13 May 2024 23:56:31 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact60
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Central Tendency] [Aantal niet-werke...] [2015-10-09 14:44:22] [f442d180d44854b5d66611a6a05f7502] [Current]
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Dataseries X:
64076
63136
60198
59057
57388
56708
70019
72263
74152
67057
61941
58331
59252
56568
53031
51840
48290
45817
59421
61621
60976
57497
53037
53088
53119
51644
47866
47691
42401
43069
55797
57170
58335
55439
54399
56316
58381
58468
59025
58298
54255
55670
67816
70485
71361
66953
64505
66770
66418
65277
62008
59096
55106
54954
67943
69411
69951
63966
60410
59440
59445
57614
55396
53030
50090
48764
61658
63943
64878
60634
57905
57224
60953
60621
57258
54903
53278
53042
63753
69210
71446
68408
65427
64630
66086
65058
62689
60841
57346
56222
68202
70745
73690
68992
65925
65546
67221
65315
62038
58774
55320
53900
65544
67906
70911
66544
63657
61720




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'Sir Maurice George Kendall' @ kendall.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 & 'Sir Maurice George Kendall' @ kendall.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=281922&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]'Sir Maurice George Kendall' @ kendall.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=281922&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=281922&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'Sir Maurice George Kendall' @ kendall.wessa.net







Central Tendency - Ungrouped Data
MeasureValueS.E.Value/S.E.
Arithmetic Mean60441.4722222222653.52331387819392.485563925096
Geometric Mean60051.064810082
Harmonic Mean59646.9142127493
Quadratic Mean60818.3400432828
Winsorized Mean ( 1 / 36 )60443.3796296296651.12811611273792.8287047263128
Winsorized Mean ( 2 / 36 )60467.8425925926634.46995307130295.3045014974841
Winsorized Mean ( 3 / 36 )60497.2037037037619.97606067619497.5799027428911
Winsorized Mean ( 4 / 36 )60500.537037037618.21321763220397.8635449897982
Winsorized Mean ( 5 / 36 )60499.3333333333611.13672225196498.9947603056821
Winsorized Mean ( 6 / 36 )60516.4444444444604.823939655869100.056298166499
Winsorized Mean ( 7 / 36 )60585.537037037587.172847781361103.181775632099
Winsorized Mean ( 8 / 36 )60666.1296296296563.528077469989107.654138374073
Winsorized Mean ( 9 / 36 )60676.7962962963560.22431637597108.308037553257
Winsorized Mean ( 10 / 36 )60736.9814814815537.054941839363113.092677768615
Winsorized Mean ( 11 / 36 )60716.6111111111533.974468095239113.706955554815
Winsorized Mean ( 12 / 36 )60693.0555555556530.312894575669114.447633041469
Winsorized Mean ( 13 / 36 )60623.3611111111520.17261667167116.544699140471
Winsorized Mean ( 14 / 36 )60602.6203703704515.653880517239117.525771956921
Winsorized Mean ( 15 / 36 )60570.9537037037510.160228121097118.729274382647
Winsorized Mean ( 16 / 36 )60589.0277777778506.222239166944119.688593447583
Winsorized Mean ( 17 / 36 )60672.7685185185491.385237864783123.47291665122
Winsorized Mean ( 18 / 36 )60632.7685185185470.597001146566128.842233101342
Winsorized Mean ( 19 / 36 )60629.25463.645108862517130.766504037419
Winsorized Mean ( 20 / 36 )60703.3240740741449.656512657153134.999321405044
Winsorized Mean ( 21 / 36 )60677.6574074074443.867719950973136.702117951063
Winsorized Mean ( 22 / 36 )60662.5833333333434.284017885243139.684125675937
Winsorized Mean ( 23 / 36 )60681.3240740741425.486564843135142.616310567751
Winsorized Mean ( 24 / 36 )60624.4351851852414.301831594268146.329150783373
Winsorized Mean ( 25 / 36 )60597.1203703704408.560631784097148.318549699113
Winsorized Mean ( 26 / 36 )60561.4907407407391.030886178062154.876488997248
Winsorized Mean ( 27 / 36 )60592.7407407407387.277991734212156.458001833281
Winsorized Mean ( 28 / 36 )60672.5925925926371.094614928563163.49628949553
Winsorized Mean ( 29 / 36 )60667.7592592593364.681093196873166.35838926398
Winsorized Mean ( 30 / 36 )60727.2037037037355.69241186543170.729545185459
Winsorized Mean ( 31 / 36 )60704.5277777778343.8365170292176.550554613204
Winsorized Mean ( 32 / 36 )60788.0833333333322.913867873846188.248599335727
Winsorized Mean ( 33 / 36 )60728.8055555556312.274948650344194.472229738652
Winsorized Mean ( 34 / 36 )60700.1574074074306.572380185325197.996170988117
Winsorized Mean ( 35 / 36 )60589.6481481481287.630035099817210.651325502643
Winsorized Mean ( 36 / 36 )60566.9814814815282.01280168681214.766780512128
Trimmed Mean ( 1 / 36 )60482.320754717630.31170793102695.9562070538843
Trimmed Mean ( 2 / 36 )60522.7596153846606.78519730728999.7433027106866
Trimmed Mean ( 3 / 36 )60551.8333333333590.306573013013102.576925451241
Trimmed Mean ( 4 / 36 )60571.5577.851419248298104.821928236838
Trimmed Mean ( 5 / 36 )60591.0510204082564.375740916531107.359417897747
Trimmed Mean ( 6 / 36 )60611.6875551.114581829743109.980191957114
Trimmed Mean ( 7 / 36 )60629.9255319149537.637398599008112.771034325191
Trimmed Mean ( 8 / 36 )60637.3695652174526.267973210137115.22147014826
Trimmed Mean ( 9 / 36 )60633.0555555556518.062611566786117.038084204112
Trimmed Mean ( 10 / 36 )60627.0909090909509.272664412654119.046426689743
Trimmed Mean ( 11 / 36 )60613.2906976744503.171959430221120.462377844567
Trimmed Mean ( 12 / 36 )60601.2142857143496.596820281582122.033029231544
Trimmed Mean ( 13 / 36 )60591.1341463415489.535606914631123.772680251444
Trimmed Mean ( 14 / 36 )60587.7875482.875929072644125.472784730351
Trimmed Mean ( 15 / 36 )60586.3205128205475.753411117223127.348157884027
Trimmed Mean ( 16 / 36 )60587.7763157895468.20375816244129.404720187592
Trimmed Mean ( 17 / 36 )60587.6621621622459.893686214706131.742757029015
Trimmed Mean ( 18 / 36 )60580.1527777778452.249884471612133.952831958281
Trimmed Mean ( 19 / 36 )60575.6428571429446.158508276534135.77157385419
Trimmed Mean ( 20 / 36 )60571.1617647059439.811756169526137.720651881253
Trimmed Mean ( 21 / 36 )60560.3484848485434.101006847084139.507505234102
Trimmed Mean ( 22 / 36 )60550.921875427.950427161235141.490504581706
Trimmed Mean ( 23 / 36 )60542.0806451613421.794470701961143.534552609013
Trimmed Mean ( 24 / 36 )60531.1833333333415.468599703906145.693762119381
Trimmed Mean ( 25 / 36 )60523.9482758621409.293499874568147.874198574886
Trimmed Mean ( 26 / 36 )60518.3035714286402.425738022737150.383779796931
Trimmed Mean ( 27 / 36 )60514.9814814815396.530536592773152.61115071102
Trimmed Mean ( 28 / 36 )60509389.559507784858155.326718487942
Trimmed Mean ( 29 / 36 )60496.38383.264960718151157.844797204116
Trimmed Mean ( 30 / 36 )60483.0833333333376.140294476465160.799266182097
Trimmed Mean ( 31 / 36 )60463.9782608696368.346617229317164.14967705059
Trimmed Mean ( 32 / 36 )60444.9318181818360.311437987084167.757460478811
Trimmed Mean ( 33 / 36 )60417.3571428571353.527462100565170.898624915511
Trimmed Mean ( 34 / 36 )60391.875346.455094192114174.313716300883
Trimmed Mean ( 35 / 36 )60366.1052631579337.84982563144178.677331415915
Trimmed Mean ( 36 / 36 )60346.9444444444330.447976224975182.621619093709
Median60304
Midrange58276.5
Midmean - Weighted Average at Xnp60426.8909090909
Midmean - Weighted Average at X(n+1)p60514.9814814815
Midmean - Empirical Distribution Function60426.8909090909
Midmean - Empirical Distribution Function - Averaging60514.9814814815
Midmean - Empirical Distribution Function - Interpolation60514.9814814815
Midmean - Closest Observation60426.8909090909
Midmean - True Basic - Statistics Graphics Toolkit60514.9814814815
Midmean - MS Excel (old versions)60518.3035714286
Number of observations108

\begin{tabular}{lllllllll}
\hline
Central Tendency - Ungrouped Data \tabularnewline
Measure & Value & S.E. & Value/S.E. \tabularnewline
Arithmetic Mean & 60441.4722222222 & 653.523313878193 & 92.485563925096 \tabularnewline
Geometric Mean & 60051.064810082 &  &  \tabularnewline
Harmonic Mean & 59646.9142127493 &  &  \tabularnewline
Quadratic Mean & 60818.3400432828 &  &  \tabularnewline
Winsorized Mean ( 1 / 36 ) & 60443.3796296296 & 651.128116112737 & 92.8287047263128 \tabularnewline
Winsorized Mean ( 2 / 36 ) & 60467.8425925926 & 634.469953071302 & 95.3045014974841 \tabularnewline
Winsorized Mean ( 3 / 36 ) & 60497.2037037037 & 619.976060676194 & 97.5799027428911 \tabularnewline
Winsorized Mean ( 4 / 36 ) & 60500.537037037 & 618.213217632203 & 97.8635449897982 \tabularnewline
Winsorized Mean ( 5 / 36 ) & 60499.3333333333 & 611.136722251964 & 98.9947603056821 \tabularnewline
Winsorized Mean ( 6 / 36 ) & 60516.4444444444 & 604.823939655869 & 100.056298166499 \tabularnewline
Winsorized Mean ( 7 / 36 ) & 60585.537037037 & 587.172847781361 & 103.181775632099 \tabularnewline
Winsorized Mean ( 8 / 36 ) & 60666.1296296296 & 563.528077469989 & 107.654138374073 \tabularnewline
Winsorized Mean ( 9 / 36 ) & 60676.7962962963 & 560.22431637597 & 108.308037553257 \tabularnewline
Winsorized Mean ( 10 / 36 ) & 60736.9814814815 & 537.054941839363 & 113.092677768615 \tabularnewline
Winsorized Mean ( 11 / 36 ) & 60716.6111111111 & 533.974468095239 & 113.706955554815 \tabularnewline
Winsorized Mean ( 12 / 36 ) & 60693.0555555556 & 530.312894575669 & 114.447633041469 \tabularnewline
Winsorized Mean ( 13 / 36 ) & 60623.3611111111 & 520.17261667167 & 116.544699140471 \tabularnewline
Winsorized Mean ( 14 / 36 ) & 60602.6203703704 & 515.653880517239 & 117.525771956921 \tabularnewline
Winsorized Mean ( 15 / 36 ) & 60570.9537037037 & 510.160228121097 & 118.729274382647 \tabularnewline
Winsorized Mean ( 16 / 36 ) & 60589.0277777778 & 506.222239166944 & 119.688593447583 \tabularnewline
Winsorized Mean ( 17 / 36 ) & 60672.7685185185 & 491.385237864783 & 123.47291665122 \tabularnewline
Winsorized Mean ( 18 / 36 ) & 60632.7685185185 & 470.597001146566 & 128.842233101342 \tabularnewline
Winsorized Mean ( 19 / 36 ) & 60629.25 & 463.645108862517 & 130.766504037419 \tabularnewline
Winsorized Mean ( 20 / 36 ) & 60703.3240740741 & 449.656512657153 & 134.999321405044 \tabularnewline
Winsorized Mean ( 21 / 36 ) & 60677.6574074074 & 443.867719950973 & 136.702117951063 \tabularnewline
Winsorized Mean ( 22 / 36 ) & 60662.5833333333 & 434.284017885243 & 139.684125675937 \tabularnewline
Winsorized Mean ( 23 / 36 ) & 60681.3240740741 & 425.486564843135 & 142.616310567751 \tabularnewline
Winsorized Mean ( 24 / 36 ) & 60624.4351851852 & 414.301831594268 & 146.329150783373 \tabularnewline
Winsorized Mean ( 25 / 36 ) & 60597.1203703704 & 408.560631784097 & 148.318549699113 \tabularnewline
Winsorized Mean ( 26 / 36 ) & 60561.4907407407 & 391.030886178062 & 154.876488997248 \tabularnewline
Winsorized Mean ( 27 / 36 ) & 60592.7407407407 & 387.277991734212 & 156.458001833281 \tabularnewline
Winsorized Mean ( 28 / 36 ) & 60672.5925925926 & 371.094614928563 & 163.49628949553 \tabularnewline
Winsorized Mean ( 29 / 36 ) & 60667.7592592593 & 364.681093196873 & 166.35838926398 \tabularnewline
Winsorized Mean ( 30 / 36 ) & 60727.2037037037 & 355.69241186543 & 170.729545185459 \tabularnewline
Winsorized Mean ( 31 / 36 ) & 60704.5277777778 & 343.8365170292 & 176.550554613204 \tabularnewline
Winsorized Mean ( 32 / 36 ) & 60788.0833333333 & 322.913867873846 & 188.248599335727 \tabularnewline
Winsorized Mean ( 33 / 36 ) & 60728.8055555556 & 312.274948650344 & 194.472229738652 \tabularnewline
Winsorized Mean ( 34 / 36 ) & 60700.1574074074 & 306.572380185325 & 197.996170988117 \tabularnewline
Winsorized Mean ( 35 / 36 ) & 60589.6481481481 & 287.630035099817 & 210.651325502643 \tabularnewline
Winsorized Mean ( 36 / 36 ) & 60566.9814814815 & 282.01280168681 & 214.766780512128 \tabularnewline
Trimmed Mean ( 1 / 36 ) & 60482.320754717 & 630.311707931026 & 95.9562070538843 \tabularnewline
Trimmed Mean ( 2 / 36 ) & 60522.7596153846 & 606.785197307289 & 99.7433027106866 \tabularnewline
Trimmed Mean ( 3 / 36 ) & 60551.8333333333 & 590.306573013013 & 102.576925451241 \tabularnewline
Trimmed Mean ( 4 / 36 ) & 60571.5 & 577.851419248298 & 104.821928236838 \tabularnewline
Trimmed Mean ( 5 / 36 ) & 60591.0510204082 & 564.375740916531 & 107.359417897747 \tabularnewline
Trimmed Mean ( 6 / 36 ) & 60611.6875 & 551.114581829743 & 109.980191957114 \tabularnewline
Trimmed Mean ( 7 / 36 ) & 60629.9255319149 & 537.637398599008 & 112.771034325191 \tabularnewline
Trimmed Mean ( 8 / 36 ) & 60637.3695652174 & 526.267973210137 & 115.22147014826 \tabularnewline
Trimmed Mean ( 9 / 36 ) & 60633.0555555556 & 518.062611566786 & 117.038084204112 \tabularnewline
Trimmed Mean ( 10 / 36 ) & 60627.0909090909 & 509.272664412654 & 119.046426689743 \tabularnewline
Trimmed Mean ( 11 / 36 ) & 60613.2906976744 & 503.171959430221 & 120.462377844567 \tabularnewline
Trimmed Mean ( 12 / 36 ) & 60601.2142857143 & 496.596820281582 & 122.033029231544 \tabularnewline
Trimmed Mean ( 13 / 36 ) & 60591.1341463415 & 489.535606914631 & 123.772680251444 \tabularnewline
Trimmed Mean ( 14 / 36 ) & 60587.7875 & 482.875929072644 & 125.472784730351 \tabularnewline
Trimmed Mean ( 15 / 36 ) & 60586.3205128205 & 475.753411117223 & 127.348157884027 \tabularnewline
Trimmed Mean ( 16 / 36 ) & 60587.7763157895 & 468.20375816244 & 129.404720187592 \tabularnewline
Trimmed Mean ( 17 / 36 ) & 60587.6621621622 & 459.893686214706 & 131.742757029015 \tabularnewline
Trimmed Mean ( 18 / 36 ) & 60580.1527777778 & 452.249884471612 & 133.952831958281 \tabularnewline
Trimmed Mean ( 19 / 36 ) & 60575.6428571429 & 446.158508276534 & 135.77157385419 \tabularnewline
Trimmed Mean ( 20 / 36 ) & 60571.1617647059 & 439.811756169526 & 137.720651881253 \tabularnewline
Trimmed Mean ( 21 / 36 ) & 60560.3484848485 & 434.101006847084 & 139.507505234102 \tabularnewline
Trimmed Mean ( 22 / 36 ) & 60550.921875 & 427.950427161235 & 141.490504581706 \tabularnewline
Trimmed Mean ( 23 / 36 ) & 60542.0806451613 & 421.794470701961 & 143.534552609013 \tabularnewline
Trimmed Mean ( 24 / 36 ) & 60531.1833333333 & 415.468599703906 & 145.693762119381 \tabularnewline
Trimmed Mean ( 25 / 36 ) & 60523.9482758621 & 409.293499874568 & 147.874198574886 \tabularnewline
Trimmed Mean ( 26 / 36 ) & 60518.3035714286 & 402.425738022737 & 150.383779796931 \tabularnewline
Trimmed Mean ( 27 / 36 ) & 60514.9814814815 & 396.530536592773 & 152.61115071102 \tabularnewline
Trimmed Mean ( 28 / 36 ) & 60509 & 389.559507784858 & 155.326718487942 \tabularnewline
Trimmed Mean ( 29 / 36 ) & 60496.38 & 383.264960718151 & 157.844797204116 \tabularnewline
Trimmed Mean ( 30 / 36 ) & 60483.0833333333 & 376.140294476465 & 160.799266182097 \tabularnewline
Trimmed Mean ( 31 / 36 ) & 60463.9782608696 & 368.346617229317 & 164.14967705059 \tabularnewline
Trimmed Mean ( 32 / 36 ) & 60444.9318181818 & 360.311437987084 & 167.757460478811 \tabularnewline
Trimmed Mean ( 33 / 36 ) & 60417.3571428571 & 353.527462100565 & 170.898624915511 \tabularnewline
Trimmed Mean ( 34 / 36 ) & 60391.875 & 346.455094192114 & 174.313716300883 \tabularnewline
Trimmed Mean ( 35 / 36 ) & 60366.1052631579 & 337.84982563144 & 178.677331415915 \tabularnewline
Trimmed Mean ( 36 / 36 ) & 60346.9444444444 & 330.447976224975 & 182.621619093709 \tabularnewline
Median & 60304 &  &  \tabularnewline
Midrange & 58276.5 &  &  \tabularnewline
Midmean - Weighted Average at Xnp & 60426.8909090909 &  &  \tabularnewline
Midmean - Weighted Average at X(n+1)p & 60514.9814814815 &  &  \tabularnewline
Midmean - Empirical Distribution Function & 60426.8909090909 &  &  \tabularnewline
Midmean - Empirical Distribution Function - Averaging & 60514.9814814815 &  &  \tabularnewline
Midmean - Empirical Distribution Function - Interpolation & 60514.9814814815 &  &  \tabularnewline
Midmean - Closest Observation & 60426.8909090909 &  &  \tabularnewline
Midmean - True Basic - Statistics Graphics Toolkit & 60514.9814814815 &  &  \tabularnewline
Midmean - MS Excel (old versions) & 60518.3035714286 &  &  \tabularnewline
Number of observations & 108 &  &  \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=281922&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]60441.4722222222[/C][C]653.523313878193[/C][C]92.485563925096[/C][/ROW]
[ROW][C]Geometric Mean[/C][C]60051.064810082[/C][C][/C][C][/C][/ROW]
[ROW][C]Harmonic Mean[/C][C]59646.9142127493[/C][C][/C][C][/C][/ROW]
[ROW][C]Quadratic Mean[/C][C]60818.3400432828[/C][C][/C][C][/C][/ROW]
[ROW][C]Winsorized Mean ( 1 / 36 )[/C][C]60443.3796296296[/C][C]651.128116112737[/C][C]92.8287047263128[/C][/ROW]
[ROW][C]Winsorized Mean ( 2 / 36 )[/C][C]60467.8425925926[/C][C]634.469953071302[/C][C]95.3045014974841[/C][/ROW]
[ROW][C]Winsorized Mean ( 3 / 36 )[/C][C]60497.2037037037[/C][C]619.976060676194[/C][C]97.5799027428911[/C][/ROW]
[ROW][C]Winsorized Mean ( 4 / 36 )[/C][C]60500.537037037[/C][C]618.213217632203[/C][C]97.8635449897982[/C][/ROW]
[ROW][C]Winsorized Mean ( 5 / 36 )[/C][C]60499.3333333333[/C][C]611.136722251964[/C][C]98.9947603056821[/C][/ROW]
[ROW][C]Winsorized Mean ( 6 / 36 )[/C][C]60516.4444444444[/C][C]604.823939655869[/C][C]100.056298166499[/C][/ROW]
[ROW][C]Winsorized Mean ( 7 / 36 )[/C][C]60585.537037037[/C][C]587.172847781361[/C][C]103.181775632099[/C][/ROW]
[ROW][C]Winsorized Mean ( 8 / 36 )[/C][C]60666.1296296296[/C][C]563.528077469989[/C][C]107.654138374073[/C][/ROW]
[ROW][C]Winsorized Mean ( 9 / 36 )[/C][C]60676.7962962963[/C][C]560.22431637597[/C][C]108.308037553257[/C][/ROW]
[ROW][C]Winsorized Mean ( 10 / 36 )[/C][C]60736.9814814815[/C][C]537.054941839363[/C][C]113.092677768615[/C][/ROW]
[ROW][C]Winsorized Mean ( 11 / 36 )[/C][C]60716.6111111111[/C][C]533.974468095239[/C][C]113.706955554815[/C][/ROW]
[ROW][C]Winsorized Mean ( 12 / 36 )[/C][C]60693.0555555556[/C][C]530.312894575669[/C][C]114.447633041469[/C][/ROW]
[ROW][C]Winsorized Mean ( 13 / 36 )[/C][C]60623.3611111111[/C][C]520.17261667167[/C][C]116.544699140471[/C][/ROW]
[ROW][C]Winsorized Mean ( 14 / 36 )[/C][C]60602.6203703704[/C][C]515.653880517239[/C][C]117.525771956921[/C][/ROW]
[ROW][C]Winsorized Mean ( 15 / 36 )[/C][C]60570.9537037037[/C][C]510.160228121097[/C][C]118.729274382647[/C][/ROW]
[ROW][C]Winsorized Mean ( 16 / 36 )[/C][C]60589.0277777778[/C][C]506.222239166944[/C][C]119.688593447583[/C][/ROW]
[ROW][C]Winsorized Mean ( 17 / 36 )[/C][C]60672.7685185185[/C][C]491.385237864783[/C][C]123.47291665122[/C][/ROW]
[ROW][C]Winsorized Mean ( 18 / 36 )[/C][C]60632.7685185185[/C][C]470.597001146566[/C][C]128.842233101342[/C][/ROW]
[ROW][C]Winsorized Mean ( 19 / 36 )[/C][C]60629.25[/C][C]463.645108862517[/C][C]130.766504037419[/C][/ROW]
[ROW][C]Winsorized Mean ( 20 / 36 )[/C][C]60703.3240740741[/C][C]449.656512657153[/C][C]134.999321405044[/C][/ROW]
[ROW][C]Winsorized Mean ( 21 / 36 )[/C][C]60677.6574074074[/C][C]443.867719950973[/C][C]136.702117951063[/C][/ROW]
[ROW][C]Winsorized Mean ( 22 / 36 )[/C][C]60662.5833333333[/C][C]434.284017885243[/C][C]139.684125675937[/C][/ROW]
[ROW][C]Winsorized Mean ( 23 / 36 )[/C][C]60681.3240740741[/C][C]425.486564843135[/C][C]142.616310567751[/C][/ROW]
[ROW][C]Winsorized Mean ( 24 / 36 )[/C][C]60624.4351851852[/C][C]414.301831594268[/C][C]146.329150783373[/C][/ROW]
[ROW][C]Winsorized Mean ( 25 / 36 )[/C][C]60597.1203703704[/C][C]408.560631784097[/C][C]148.318549699113[/C][/ROW]
[ROW][C]Winsorized Mean ( 26 / 36 )[/C][C]60561.4907407407[/C][C]391.030886178062[/C][C]154.876488997248[/C][/ROW]
[ROW][C]Winsorized Mean ( 27 / 36 )[/C][C]60592.7407407407[/C][C]387.277991734212[/C][C]156.458001833281[/C][/ROW]
[ROW][C]Winsorized Mean ( 28 / 36 )[/C][C]60672.5925925926[/C][C]371.094614928563[/C][C]163.49628949553[/C][/ROW]
[ROW][C]Winsorized Mean ( 29 / 36 )[/C][C]60667.7592592593[/C][C]364.681093196873[/C][C]166.35838926398[/C][/ROW]
[ROW][C]Winsorized Mean ( 30 / 36 )[/C][C]60727.2037037037[/C][C]355.69241186543[/C][C]170.729545185459[/C][/ROW]
[ROW][C]Winsorized Mean ( 31 / 36 )[/C][C]60704.5277777778[/C][C]343.8365170292[/C][C]176.550554613204[/C][/ROW]
[ROW][C]Winsorized Mean ( 32 / 36 )[/C][C]60788.0833333333[/C][C]322.913867873846[/C][C]188.248599335727[/C][/ROW]
[ROW][C]Winsorized Mean ( 33 / 36 )[/C][C]60728.8055555556[/C][C]312.274948650344[/C][C]194.472229738652[/C][/ROW]
[ROW][C]Winsorized Mean ( 34 / 36 )[/C][C]60700.1574074074[/C][C]306.572380185325[/C][C]197.996170988117[/C][/ROW]
[ROW][C]Winsorized Mean ( 35 / 36 )[/C][C]60589.6481481481[/C][C]287.630035099817[/C][C]210.651325502643[/C][/ROW]
[ROW][C]Winsorized Mean ( 36 / 36 )[/C][C]60566.9814814815[/C][C]282.01280168681[/C][C]214.766780512128[/C][/ROW]
[ROW][C]Trimmed Mean ( 1 / 36 )[/C][C]60482.320754717[/C][C]630.311707931026[/C][C]95.9562070538843[/C][/ROW]
[ROW][C]Trimmed Mean ( 2 / 36 )[/C][C]60522.7596153846[/C][C]606.785197307289[/C][C]99.7433027106866[/C][/ROW]
[ROW][C]Trimmed Mean ( 3 / 36 )[/C][C]60551.8333333333[/C][C]590.306573013013[/C][C]102.576925451241[/C][/ROW]
[ROW][C]Trimmed Mean ( 4 / 36 )[/C][C]60571.5[/C][C]577.851419248298[/C][C]104.821928236838[/C][/ROW]
[ROW][C]Trimmed Mean ( 5 / 36 )[/C][C]60591.0510204082[/C][C]564.375740916531[/C][C]107.359417897747[/C][/ROW]
[ROW][C]Trimmed Mean ( 6 / 36 )[/C][C]60611.6875[/C][C]551.114581829743[/C][C]109.980191957114[/C][/ROW]
[ROW][C]Trimmed Mean ( 7 / 36 )[/C][C]60629.9255319149[/C][C]537.637398599008[/C][C]112.771034325191[/C][/ROW]
[ROW][C]Trimmed Mean ( 8 / 36 )[/C][C]60637.3695652174[/C][C]526.267973210137[/C][C]115.22147014826[/C][/ROW]
[ROW][C]Trimmed Mean ( 9 / 36 )[/C][C]60633.0555555556[/C][C]518.062611566786[/C][C]117.038084204112[/C][/ROW]
[ROW][C]Trimmed Mean ( 10 / 36 )[/C][C]60627.0909090909[/C][C]509.272664412654[/C][C]119.046426689743[/C][/ROW]
[ROW][C]Trimmed Mean ( 11 / 36 )[/C][C]60613.2906976744[/C][C]503.171959430221[/C][C]120.462377844567[/C][/ROW]
[ROW][C]Trimmed Mean ( 12 / 36 )[/C][C]60601.2142857143[/C][C]496.596820281582[/C][C]122.033029231544[/C][/ROW]
[ROW][C]Trimmed Mean ( 13 / 36 )[/C][C]60591.1341463415[/C][C]489.535606914631[/C][C]123.772680251444[/C][/ROW]
[ROW][C]Trimmed Mean ( 14 / 36 )[/C][C]60587.7875[/C][C]482.875929072644[/C][C]125.472784730351[/C][/ROW]
[ROW][C]Trimmed Mean ( 15 / 36 )[/C][C]60586.3205128205[/C][C]475.753411117223[/C][C]127.348157884027[/C][/ROW]
[ROW][C]Trimmed Mean ( 16 / 36 )[/C][C]60587.7763157895[/C][C]468.20375816244[/C][C]129.404720187592[/C][/ROW]
[ROW][C]Trimmed Mean ( 17 / 36 )[/C][C]60587.6621621622[/C][C]459.893686214706[/C][C]131.742757029015[/C][/ROW]
[ROW][C]Trimmed Mean ( 18 / 36 )[/C][C]60580.1527777778[/C][C]452.249884471612[/C][C]133.952831958281[/C][/ROW]
[ROW][C]Trimmed Mean ( 19 / 36 )[/C][C]60575.6428571429[/C][C]446.158508276534[/C][C]135.77157385419[/C][/ROW]
[ROW][C]Trimmed Mean ( 20 / 36 )[/C][C]60571.1617647059[/C][C]439.811756169526[/C][C]137.720651881253[/C][/ROW]
[ROW][C]Trimmed Mean ( 21 / 36 )[/C][C]60560.3484848485[/C][C]434.101006847084[/C][C]139.507505234102[/C][/ROW]
[ROW][C]Trimmed Mean ( 22 / 36 )[/C][C]60550.921875[/C][C]427.950427161235[/C][C]141.490504581706[/C][/ROW]
[ROW][C]Trimmed Mean ( 23 / 36 )[/C][C]60542.0806451613[/C][C]421.794470701961[/C][C]143.534552609013[/C][/ROW]
[ROW][C]Trimmed Mean ( 24 / 36 )[/C][C]60531.1833333333[/C][C]415.468599703906[/C][C]145.693762119381[/C][/ROW]
[ROW][C]Trimmed Mean ( 25 / 36 )[/C][C]60523.9482758621[/C][C]409.293499874568[/C][C]147.874198574886[/C][/ROW]
[ROW][C]Trimmed Mean ( 26 / 36 )[/C][C]60518.3035714286[/C][C]402.425738022737[/C][C]150.383779796931[/C][/ROW]
[ROW][C]Trimmed Mean ( 27 / 36 )[/C][C]60514.9814814815[/C][C]396.530536592773[/C][C]152.61115071102[/C][/ROW]
[ROW][C]Trimmed Mean ( 28 / 36 )[/C][C]60509[/C][C]389.559507784858[/C][C]155.326718487942[/C][/ROW]
[ROW][C]Trimmed Mean ( 29 / 36 )[/C][C]60496.38[/C][C]383.264960718151[/C][C]157.844797204116[/C][/ROW]
[ROW][C]Trimmed Mean ( 30 / 36 )[/C][C]60483.0833333333[/C][C]376.140294476465[/C][C]160.799266182097[/C][/ROW]
[ROW][C]Trimmed Mean ( 31 / 36 )[/C][C]60463.9782608696[/C][C]368.346617229317[/C][C]164.14967705059[/C][/ROW]
[ROW][C]Trimmed Mean ( 32 / 36 )[/C][C]60444.9318181818[/C][C]360.311437987084[/C][C]167.757460478811[/C][/ROW]
[ROW][C]Trimmed Mean ( 33 / 36 )[/C][C]60417.3571428571[/C][C]353.527462100565[/C][C]170.898624915511[/C][/ROW]
[ROW][C]Trimmed Mean ( 34 / 36 )[/C][C]60391.875[/C][C]346.455094192114[/C][C]174.313716300883[/C][/ROW]
[ROW][C]Trimmed Mean ( 35 / 36 )[/C][C]60366.1052631579[/C][C]337.84982563144[/C][C]178.677331415915[/C][/ROW]
[ROW][C]Trimmed Mean ( 36 / 36 )[/C][C]60346.9444444444[/C][C]330.447976224975[/C][C]182.621619093709[/C][/ROW]
[ROW][C]Median[/C][C]60304[/C][C][/C][C][/C][/ROW]
[ROW][C]Midrange[/C][C]58276.5[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - Weighted Average at Xnp[/C][C]60426.8909090909[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - Weighted Average at X(n+1)p[/C][C]60514.9814814815[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - Empirical Distribution Function[/C][C]60426.8909090909[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - Empirical Distribution Function - Averaging[/C][C]60514.9814814815[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - Empirical Distribution Function - Interpolation[/C][C]60514.9814814815[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - Closest Observation[/C][C]60426.8909090909[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - True Basic - Statistics Graphics Toolkit[/C][C]60514.9814814815[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - MS Excel (old versions)[/C][C]60518.3035714286[/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=281922&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=281922&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 Mean60441.4722222222653.52331387819392.485563925096
Geometric Mean60051.064810082
Harmonic Mean59646.9142127493
Quadratic Mean60818.3400432828
Winsorized Mean ( 1 / 36 )60443.3796296296651.12811611273792.8287047263128
Winsorized Mean ( 2 / 36 )60467.8425925926634.46995307130295.3045014974841
Winsorized Mean ( 3 / 36 )60497.2037037037619.97606067619497.5799027428911
Winsorized Mean ( 4 / 36 )60500.537037037618.21321763220397.8635449897982
Winsorized Mean ( 5 / 36 )60499.3333333333611.13672225196498.9947603056821
Winsorized Mean ( 6 / 36 )60516.4444444444604.823939655869100.056298166499
Winsorized Mean ( 7 / 36 )60585.537037037587.172847781361103.181775632099
Winsorized Mean ( 8 / 36 )60666.1296296296563.528077469989107.654138374073
Winsorized Mean ( 9 / 36 )60676.7962962963560.22431637597108.308037553257
Winsorized Mean ( 10 / 36 )60736.9814814815537.054941839363113.092677768615
Winsorized Mean ( 11 / 36 )60716.6111111111533.974468095239113.706955554815
Winsorized Mean ( 12 / 36 )60693.0555555556530.312894575669114.447633041469
Winsorized Mean ( 13 / 36 )60623.3611111111520.17261667167116.544699140471
Winsorized Mean ( 14 / 36 )60602.6203703704515.653880517239117.525771956921
Winsorized Mean ( 15 / 36 )60570.9537037037510.160228121097118.729274382647
Winsorized Mean ( 16 / 36 )60589.0277777778506.222239166944119.688593447583
Winsorized Mean ( 17 / 36 )60672.7685185185491.385237864783123.47291665122
Winsorized Mean ( 18 / 36 )60632.7685185185470.597001146566128.842233101342
Winsorized Mean ( 19 / 36 )60629.25463.645108862517130.766504037419
Winsorized Mean ( 20 / 36 )60703.3240740741449.656512657153134.999321405044
Winsorized Mean ( 21 / 36 )60677.6574074074443.867719950973136.702117951063
Winsorized Mean ( 22 / 36 )60662.5833333333434.284017885243139.684125675937
Winsorized Mean ( 23 / 36 )60681.3240740741425.486564843135142.616310567751
Winsorized Mean ( 24 / 36 )60624.4351851852414.301831594268146.329150783373
Winsorized Mean ( 25 / 36 )60597.1203703704408.560631784097148.318549699113
Winsorized Mean ( 26 / 36 )60561.4907407407391.030886178062154.876488997248
Winsorized Mean ( 27 / 36 )60592.7407407407387.277991734212156.458001833281
Winsorized Mean ( 28 / 36 )60672.5925925926371.094614928563163.49628949553
Winsorized Mean ( 29 / 36 )60667.7592592593364.681093196873166.35838926398
Winsorized Mean ( 30 / 36 )60727.2037037037355.69241186543170.729545185459
Winsorized Mean ( 31 / 36 )60704.5277777778343.8365170292176.550554613204
Winsorized Mean ( 32 / 36 )60788.0833333333322.913867873846188.248599335727
Winsorized Mean ( 33 / 36 )60728.8055555556312.274948650344194.472229738652
Winsorized Mean ( 34 / 36 )60700.1574074074306.572380185325197.996170988117
Winsorized Mean ( 35 / 36 )60589.6481481481287.630035099817210.651325502643
Winsorized Mean ( 36 / 36 )60566.9814814815282.01280168681214.766780512128
Trimmed Mean ( 1 / 36 )60482.320754717630.31170793102695.9562070538843
Trimmed Mean ( 2 / 36 )60522.7596153846606.78519730728999.7433027106866
Trimmed Mean ( 3 / 36 )60551.8333333333590.306573013013102.576925451241
Trimmed Mean ( 4 / 36 )60571.5577.851419248298104.821928236838
Trimmed Mean ( 5 / 36 )60591.0510204082564.375740916531107.359417897747
Trimmed Mean ( 6 / 36 )60611.6875551.114581829743109.980191957114
Trimmed Mean ( 7 / 36 )60629.9255319149537.637398599008112.771034325191
Trimmed Mean ( 8 / 36 )60637.3695652174526.267973210137115.22147014826
Trimmed Mean ( 9 / 36 )60633.0555555556518.062611566786117.038084204112
Trimmed Mean ( 10 / 36 )60627.0909090909509.272664412654119.046426689743
Trimmed Mean ( 11 / 36 )60613.2906976744503.171959430221120.462377844567
Trimmed Mean ( 12 / 36 )60601.2142857143496.596820281582122.033029231544
Trimmed Mean ( 13 / 36 )60591.1341463415489.535606914631123.772680251444
Trimmed Mean ( 14 / 36 )60587.7875482.875929072644125.472784730351
Trimmed Mean ( 15 / 36 )60586.3205128205475.753411117223127.348157884027
Trimmed Mean ( 16 / 36 )60587.7763157895468.20375816244129.404720187592
Trimmed Mean ( 17 / 36 )60587.6621621622459.893686214706131.742757029015
Trimmed Mean ( 18 / 36 )60580.1527777778452.249884471612133.952831958281
Trimmed Mean ( 19 / 36 )60575.6428571429446.158508276534135.77157385419
Trimmed Mean ( 20 / 36 )60571.1617647059439.811756169526137.720651881253
Trimmed Mean ( 21 / 36 )60560.3484848485434.101006847084139.507505234102
Trimmed Mean ( 22 / 36 )60550.921875427.950427161235141.490504581706
Trimmed Mean ( 23 / 36 )60542.0806451613421.794470701961143.534552609013
Trimmed Mean ( 24 / 36 )60531.1833333333415.468599703906145.693762119381
Trimmed Mean ( 25 / 36 )60523.9482758621409.293499874568147.874198574886
Trimmed Mean ( 26 / 36 )60518.3035714286402.425738022737150.383779796931
Trimmed Mean ( 27 / 36 )60514.9814814815396.530536592773152.61115071102
Trimmed Mean ( 28 / 36 )60509389.559507784858155.326718487942
Trimmed Mean ( 29 / 36 )60496.38383.264960718151157.844797204116
Trimmed Mean ( 30 / 36 )60483.0833333333376.140294476465160.799266182097
Trimmed Mean ( 31 / 36 )60463.9782608696368.346617229317164.14967705059
Trimmed Mean ( 32 / 36 )60444.9318181818360.311437987084167.757460478811
Trimmed Mean ( 33 / 36 )60417.3571428571353.527462100565170.898624915511
Trimmed Mean ( 34 / 36 )60391.875346.455094192114174.313716300883
Trimmed Mean ( 35 / 36 )60366.1052631579337.84982563144178.677331415915
Trimmed Mean ( 36 / 36 )60346.9444444444330.447976224975182.621619093709
Median60304
Midrange58276.5
Midmean - Weighted Average at Xnp60426.8909090909
Midmean - Weighted Average at X(n+1)p60514.9814814815
Midmean - Empirical Distribution Function60426.8909090909
Midmean - Empirical Distribution Function - Averaging60514.9814814815
Midmean - Empirical Distribution Function - Interpolation60514.9814814815
Midmean - Closest Observation60426.8909090909
Midmean - True Basic - Statistics Graphics Toolkit60514.9814814815
Midmean - MS Excel (old versions)60518.3035714286
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')