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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 computationThu, 26 Feb 2015 15:39:31 +0000
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2015/Feb/26/t1424965259mxf0qbcdaudfclu.htm/, Retrieved Wed, 22 May 2024 17:13:42 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=277622, Retrieved Wed, 22 May 2024 17:13:42 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact46
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Central Tendency] [] [2015-02-26 15:39:31] [8e46ac5a02f6c72569c3bd9e9d260f29] [Current]
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Dataseries X:
58552
54955
65540
51570
51145
46641
35704
33253
35193
41668
34865
21210
56126
49231
59723
48103
47472
50497
40059
34149
36860
46356
36577
23872
57276
56389
57657
62300
48929
51168
39636
33213
38127
43291
30600
21956
48033
46148
50736
48114
38390
44112
36287
30333
35908
40005
35263
26591
49709
47840
64781
57802
48154
54353
39737
37732
37163
43782
40649
29412
53597
53588
64172
53955
55509
48908
35331
38073
41776
42717
40736
49020
45099
44114
60487
48760
41281
48346
37025
31514
33977
42060
36036
22012
51048
45834
53712
53577
45022
43740
34898
30103
35137
39752
32348
25198




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'Sir Ronald Aylmer Fisher' @ fisher.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 Ronald Aylmer Fisher' @ fisher.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=277622&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 Ronald Aylmer Fisher' @ fisher.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=277622&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=277622&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 Ronald Aylmer Fisher' @ fisher.wessa.net







Central Tendency - Ungrouped Data
MeasureValueS.E.Value/S.E.
Arithmetic Mean43639.156251040.6604378959541.9340974835477
Geometric Mean42380.666900831
Harmonic Mean41027.0171919524
Quadratic Mean44802.4385740005
Winsorized Mean ( 1 / 32 )43639.02083333331037.1999161223542.0738761689079
Winsorized Mean ( 2 / 32 )43627.51034.2555732455542.1825138085499
Winsorized Mean ( 3 / 32 )43627.1251010.0607178694243.1925766720491
Winsorized Mean ( 4 / 32 )43606.8333333333984.76209998519544.2815918017041
Winsorized Mean ( 5 / 32 )43639.59375963.7791387018945.2796621109458
Winsorized Mean ( 6 / 32 )43742.71875920.23537079064447.5342723594914
Winsorized Mean ( 7 / 32 )43738.4166666667902.9838135153748.4376530476116
Winsorized Mean ( 8 / 32 )43745.5897.97800494690448.7155584646938
Winsorized Mean ( 9 / 32 )43734.8125888.28361492880649.235189938188
Winsorized Mean ( 10 / 32 )43737.625859.16189849060650.9073145315676
Winsorized Mean ( 11 / 32 )43803.0520833333840.48679965131752.1162879672892
Winsorized Mean ( 12 / 32 )43834.0520833333813.51672746819953.8821767313283
Winsorized Mean ( 13 / 32 )43764.4479166667801.59080442243354.5969934724988
Winsorized Mean ( 14 / 32 )43782.2395833333774.50478033940856.5293342206963
Winsorized Mean ( 15 / 32 )43746.9270833333762.08048615500257.4046021097508
Winsorized Mean ( 16 / 32 )43825.7604166667740.86964336029159.1544825860193
Winsorized Mean ( 17 / 32 )43811.2395833333737.27292976912559.423366591057
Winsorized Mean ( 18 / 32 )43854.3645833333731.3741212877559.9616028334689
Winsorized Mean ( 19 / 32 )43863.2708333333729.68066923308960.1129681555558
Winsorized Mean ( 20 / 32 )43459.7291666667671.85980231349664.6857112406733
Winsorized Mean ( 21 / 32 )43386.6666666667658.89348310331965.8477702075911
Winsorized Mean ( 22 / 32 )43466.875647.34046284434267.1468531551564
Winsorized Mean ( 23 / 32 )43492.5104166667638.30031532468.1380055320668
Winsorized Mean ( 24 / 32 )43446.5104166667624.65016524949969.5533481517822
Winsorized Mean ( 25 / 32 )43449.6354166667608.90718603944971.356746008006
Winsorized Mean ( 26 / 32 )43314.7604166667573.65434029301675.5067248241196
Winsorized Mean ( 27 / 32 )43259.9166666667548.24594575077778.9060402579463
Winsorized Mean ( 28 / 32 )43246.5535.32387352088480.7856741295003
Winsorized Mean ( 29 / 32 )43260.6979166667527.1194788493582.0700043396243
Winsorized Mean ( 30 / 32 )43431.9479166667504.97854096533786.0075119897975
Winsorized Mean ( 31 / 32 )43494.2708333333486.52732980680589.3973846250414
Winsorized Mean ( 32 / 32 )43374.2708333333468.84558171219492.5129136867053
Trimmed Mean ( 1 / 32 )43644.77659574471008.6566086797943.2702033776098
Trimmed Mean ( 2 / 32 )43650.7826086957976.11593161407344.71885069688
Trimmed Mean ( 3 / 32 )43663.2940.65412749083446.4179114553723
Trimmed Mean ( 4 / 32 )43676.3181818182910.61119104729247.9637397510854
Trimmed Mean ( 5 / 32 )43695.7093023256884.92258495235849.3780021499599
Trimmed Mean ( 6 / 32 )43708.5357142857861.53492465749650.7333300871837
Trimmed Mean ( 7 / 32 )43701.8658536585845.68009576840651.6765926883379
Trimmed Mean ( 8 / 32 )43695.6831.19986354940952.5693060311752
Trimmed Mean ( 9 / 32 )43687.9230769231815.37024001050153.5804729350441
Trimmed Mean ( 10 / 32 )43681.3421052632798.7960112333654.6839762479761
Trimmed Mean ( 11 / 32 )43674.0405405405784.84053671008955.6470244562218
Trimmed Mean ( 12 / 32 )43658.4027777778771.68026196455356.5757671015605
Trimmed Mean ( 13 / 32 )43638.3285714286760.64913971967757.3698520023445
Trimmed Mean ( 14 / 32 )43624.6323529412749.39848600542458.2128642739551
Trimmed Mean ( 15 / 32 )43608.2575757576740.19598655565758.9144745011105
Trimmed Mean ( 16 / 32 )43594.390625730.89142667559859.6455082573422
Trimmed Mean ( 17 / 32 )43572722.69696939426560.2908298294377
Trimmed Mean ( 18 / 32 )43549.4833333333712.98190145557161.0807697143868
Trimmed Mean ( 19 / 32 )43521.4482758621701.72797273210462.0203981699858
Trimmed Mean ( 20 / 32 )43490.6071428571687.88618040623463.2235511944339
Trimmed Mean ( 21 / 32 )43493.3518518519680.27172919852863.9352629030963
Trimmed Mean ( 22 / 32 )43502.7307692308672.36942926361864.7006375897773
Trimmed Mean ( 23 / 32 )43505.86663.84560290624765.5361123272277
Trimmed Mean ( 24 / 32 )43507.0208333333654.0522537315666.519181892751
Trimmed Mean ( 25 / 32 )43512.2826086957643.43805159819967.6246648774004
Trimmed Mean ( 26 / 32 )43517.75632.12686235517168.8433803269522
Trimmed Mean ( 27 / 32 )43535.5952380952623.52947381410569.8212306978686
Trimmed Mean ( 28 / 32 )43560.1616.26950460629870.6835234818705
Trimmed Mean ( 29 / 32 )43588.3947368421608.10140903408371.6794832067213
Trimmed Mean ( 30 / 32 )43618.5277777778597.66777346471672.9812275554335
Trimmed Mean ( 31 / 32 )43636.0882352941587.63272990386874.257416264803
Trimmed Mean ( 32 / 32 )43649.8125576.97055998701975.6534484202835
Median43761
Midrange43375
Midmean - Weighted Average at Xnp43351.9387755102
Midmean - Weighted Average at X(n+1)p43507.0208333333
Midmean - Empirical Distribution Function43351.9387755102
Midmean - Empirical Distribution Function - Averaging43507.0208333333
Midmean - Empirical Distribution Function - Interpolation43507.0208333333
Midmean - Closest Observation43351.9387755102
Midmean - True Basic - Statistics Graphics Toolkit43507.0208333333
Midmean - MS Excel (old versions)43505.86
Number of observations96

\begin{tabular}{lllllllll}
\hline
Central Tendency - Ungrouped Data \tabularnewline
Measure & Value & S.E. & Value/S.E. \tabularnewline
Arithmetic Mean & 43639.15625 & 1040.66043789595 & 41.9340974835477 \tabularnewline
Geometric Mean & 42380.666900831 &  &  \tabularnewline
Harmonic Mean & 41027.0171919524 &  &  \tabularnewline
Quadratic Mean & 44802.4385740005 &  &  \tabularnewline
Winsorized Mean ( 1 / 32 ) & 43639.0208333333 & 1037.19991612235 & 42.0738761689079 \tabularnewline
Winsorized Mean ( 2 / 32 ) & 43627.5 & 1034.25557324555 & 42.1825138085499 \tabularnewline
Winsorized Mean ( 3 / 32 ) & 43627.125 & 1010.06071786942 & 43.1925766720491 \tabularnewline
Winsorized Mean ( 4 / 32 ) & 43606.8333333333 & 984.762099985195 & 44.2815918017041 \tabularnewline
Winsorized Mean ( 5 / 32 ) & 43639.59375 & 963.77913870189 & 45.2796621109458 \tabularnewline
Winsorized Mean ( 6 / 32 ) & 43742.71875 & 920.235370790644 & 47.5342723594914 \tabularnewline
Winsorized Mean ( 7 / 32 ) & 43738.4166666667 & 902.98381351537 & 48.4376530476116 \tabularnewline
Winsorized Mean ( 8 / 32 ) & 43745.5 & 897.978004946904 & 48.7155584646938 \tabularnewline
Winsorized Mean ( 9 / 32 ) & 43734.8125 & 888.283614928806 & 49.235189938188 \tabularnewline
Winsorized Mean ( 10 / 32 ) & 43737.625 & 859.161898490606 & 50.9073145315676 \tabularnewline
Winsorized Mean ( 11 / 32 ) & 43803.0520833333 & 840.486799651317 & 52.1162879672892 \tabularnewline
Winsorized Mean ( 12 / 32 ) & 43834.0520833333 & 813.516727468199 & 53.8821767313283 \tabularnewline
Winsorized Mean ( 13 / 32 ) & 43764.4479166667 & 801.590804422433 & 54.5969934724988 \tabularnewline
Winsorized Mean ( 14 / 32 ) & 43782.2395833333 & 774.504780339408 & 56.5293342206963 \tabularnewline
Winsorized Mean ( 15 / 32 ) & 43746.9270833333 & 762.080486155002 & 57.4046021097508 \tabularnewline
Winsorized Mean ( 16 / 32 ) & 43825.7604166667 & 740.869643360291 & 59.1544825860193 \tabularnewline
Winsorized Mean ( 17 / 32 ) & 43811.2395833333 & 737.272929769125 & 59.423366591057 \tabularnewline
Winsorized Mean ( 18 / 32 ) & 43854.3645833333 & 731.37412128775 & 59.9616028334689 \tabularnewline
Winsorized Mean ( 19 / 32 ) & 43863.2708333333 & 729.680669233089 & 60.1129681555558 \tabularnewline
Winsorized Mean ( 20 / 32 ) & 43459.7291666667 & 671.859802313496 & 64.6857112406733 \tabularnewline
Winsorized Mean ( 21 / 32 ) & 43386.6666666667 & 658.893483103319 & 65.8477702075911 \tabularnewline
Winsorized Mean ( 22 / 32 ) & 43466.875 & 647.340462844342 & 67.1468531551564 \tabularnewline
Winsorized Mean ( 23 / 32 ) & 43492.5104166667 & 638.300315324 & 68.1380055320668 \tabularnewline
Winsorized Mean ( 24 / 32 ) & 43446.5104166667 & 624.650165249499 & 69.5533481517822 \tabularnewline
Winsorized Mean ( 25 / 32 ) & 43449.6354166667 & 608.907186039449 & 71.356746008006 \tabularnewline
Winsorized Mean ( 26 / 32 ) & 43314.7604166667 & 573.654340293016 & 75.5067248241196 \tabularnewline
Winsorized Mean ( 27 / 32 ) & 43259.9166666667 & 548.245945750777 & 78.9060402579463 \tabularnewline
Winsorized Mean ( 28 / 32 ) & 43246.5 & 535.323873520884 & 80.7856741295003 \tabularnewline
Winsorized Mean ( 29 / 32 ) & 43260.6979166667 & 527.11947884935 & 82.0700043396243 \tabularnewline
Winsorized Mean ( 30 / 32 ) & 43431.9479166667 & 504.978540965337 & 86.0075119897975 \tabularnewline
Winsorized Mean ( 31 / 32 ) & 43494.2708333333 & 486.527329806805 & 89.3973846250414 \tabularnewline
Winsorized Mean ( 32 / 32 ) & 43374.2708333333 & 468.845581712194 & 92.5129136867053 \tabularnewline
Trimmed Mean ( 1 / 32 ) & 43644.7765957447 & 1008.65660867979 & 43.2702033776098 \tabularnewline
Trimmed Mean ( 2 / 32 ) & 43650.7826086957 & 976.115931614073 & 44.71885069688 \tabularnewline
Trimmed Mean ( 3 / 32 ) & 43663.2 & 940.654127490834 & 46.4179114553723 \tabularnewline
Trimmed Mean ( 4 / 32 ) & 43676.3181818182 & 910.611191047292 & 47.9637397510854 \tabularnewline
Trimmed Mean ( 5 / 32 ) & 43695.7093023256 & 884.922584952358 & 49.3780021499599 \tabularnewline
Trimmed Mean ( 6 / 32 ) & 43708.5357142857 & 861.534924657496 & 50.7333300871837 \tabularnewline
Trimmed Mean ( 7 / 32 ) & 43701.8658536585 & 845.680095768406 & 51.6765926883379 \tabularnewline
Trimmed Mean ( 8 / 32 ) & 43695.6 & 831.199863549409 & 52.5693060311752 \tabularnewline
Trimmed Mean ( 9 / 32 ) & 43687.9230769231 & 815.370240010501 & 53.5804729350441 \tabularnewline
Trimmed Mean ( 10 / 32 ) & 43681.3421052632 & 798.79601123336 & 54.6839762479761 \tabularnewline
Trimmed Mean ( 11 / 32 ) & 43674.0405405405 & 784.840536710089 & 55.6470244562218 \tabularnewline
Trimmed Mean ( 12 / 32 ) & 43658.4027777778 & 771.680261964553 & 56.5757671015605 \tabularnewline
Trimmed Mean ( 13 / 32 ) & 43638.3285714286 & 760.649139719677 & 57.3698520023445 \tabularnewline
Trimmed Mean ( 14 / 32 ) & 43624.6323529412 & 749.398486005424 & 58.2128642739551 \tabularnewline
Trimmed Mean ( 15 / 32 ) & 43608.2575757576 & 740.195986555657 & 58.9144745011105 \tabularnewline
Trimmed Mean ( 16 / 32 ) & 43594.390625 & 730.891426675598 & 59.6455082573422 \tabularnewline
Trimmed Mean ( 17 / 32 ) & 43572 & 722.696969394265 & 60.2908298294377 \tabularnewline
Trimmed Mean ( 18 / 32 ) & 43549.4833333333 & 712.981901455571 & 61.0807697143868 \tabularnewline
Trimmed Mean ( 19 / 32 ) & 43521.4482758621 & 701.727972732104 & 62.0203981699858 \tabularnewline
Trimmed Mean ( 20 / 32 ) & 43490.6071428571 & 687.886180406234 & 63.2235511944339 \tabularnewline
Trimmed Mean ( 21 / 32 ) & 43493.3518518519 & 680.271729198528 & 63.9352629030963 \tabularnewline
Trimmed Mean ( 22 / 32 ) & 43502.7307692308 & 672.369429263618 & 64.7006375897773 \tabularnewline
Trimmed Mean ( 23 / 32 ) & 43505.86 & 663.845602906247 & 65.5361123272277 \tabularnewline
Trimmed Mean ( 24 / 32 ) & 43507.0208333333 & 654.05225373156 & 66.519181892751 \tabularnewline
Trimmed Mean ( 25 / 32 ) & 43512.2826086957 & 643.438051598199 & 67.6246648774004 \tabularnewline
Trimmed Mean ( 26 / 32 ) & 43517.75 & 632.126862355171 & 68.8433803269522 \tabularnewline
Trimmed Mean ( 27 / 32 ) & 43535.5952380952 & 623.529473814105 & 69.8212306978686 \tabularnewline
Trimmed Mean ( 28 / 32 ) & 43560.1 & 616.269504606298 & 70.6835234818705 \tabularnewline
Trimmed Mean ( 29 / 32 ) & 43588.3947368421 & 608.101409034083 & 71.6794832067213 \tabularnewline
Trimmed Mean ( 30 / 32 ) & 43618.5277777778 & 597.667773464716 & 72.9812275554335 \tabularnewline
Trimmed Mean ( 31 / 32 ) & 43636.0882352941 & 587.632729903868 & 74.257416264803 \tabularnewline
Trimmed Mean ( 32 / 32 ) & 43649.8125 & 576.970559987019 & 75.6534484202835 \tabularnewline
Median & 43761 &  &  \tabularnewline
Midrange & 43375 &  &  \tabularnewline
Midmean - Weighted Average at Xnp & 43351.9387755102 &  &  \tabularnewline
Midmean - Weighted Average at X(n+1)p & 43507.0208333333 &  &  \tabularnewline
Midmean - Empirical Distribution Function & 43351.9387755102 &  &  \tabularnewline
Midmean - Empirical Distribution Function - Averaging & 43507.0208333333 &  &  \tabularnewline
Midmean - Empirical Distribution Function - Interpolation & 43507.0208333333 &  &  \tabularnewline
Midmean - Closest Observation & 43351.9387755102 &  &  \tabularnewline
Midmean - True Basic - Statistics Graphics Toolkit & 43507.0208333333 &  &  \tabularnewline
Midmean - MS Excel (old versions) & 43505.86 &  &  \tabularnewline
Number of observations & 96 &  &  \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=277622&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]43639.15625[/C][C]1040.66043789595[/C][C]41.9340974835477[/C][/ROW]
[ROW][C]Geometric Mean[/C][C]42380.666900831[/C][C][/C][C][/C][/ROW]
[ROW][C]Harmonic Mean[/C][C]41027.0171919524[/C][C][/C][C][/C][/ROW]
[ROW][C]Quadratic Mean[/C][C]44802.4385740005[/C][C][/C][C][/C][/ROW]
[ROW][C]Winsorized Mean ( 1 / 32 )[/C][C]43639.0208333333[/C][C]1037.19991612235[/C][C]42.0738761689079[/C][/ROW]
[ROW][C]Winsorized Mean ( 2 / 32 )[/C][C]43627.5[/C][C]1034.25557324555[/C][C]42.1825138085499[/C][/ROW]
[ROW][C]Winsorized Mean ( 3 / 32 )[/C][C]43627.125[/C][C]1010.06071786942[/C][C]43.1925766720491[/C][/ROW]
[ROW][C]Winsorized Mean ( 4 / 32 )[/C][C]43606.8333333333[/C][C]984.762099985195[/C][C]44.2815918017041[/C][/ROW]
[ROW][C]Winsorized Mean ( 5 / 32 )[/C][C]43639.59375[/C][C]963.77913870189[/C][C]45.2796621109458[/C][/ROW]
[ROW][C]Winsorized Mean ( 6 / 32 )[/C][C]43742.71875[/C][C]920.235370790644[/C][C]47.5342723594914[/C][/ROW]
[ROW][C]Winsorized Mean ( 7 / 32 )[/C][C]43738.4166666667[/C][C]902.98381351537[/C][C]48.4376530476116[/C][/ROW]
[ROW][C]Winsorized Mean ( 8 / 32 )[/C][C]43745.5[/C][C]897.978004946904[/C][C]48.7155584646938[/C][/ROW]
[ROW][C]Winsorized Mean ( 9 / 32 )[/C][C]43734.8125[/C][C]888.283614928806[/C][C]49.235189938188[/C][/ROW]
[ROW][C]Winsorized Mean ( 10 / 32 )[/C][C]43737.625[/C][C]859.161898490606[/C][C]50.9073145315676[/C][/ROW]
[ROW][C]Winsorized Mean ( 11 / 32 )[/C][C]43803.0520833333[/C][C]840.486799651317[/C][C]52.1162879672892[/C][/ROW]
[ROW][C]Winsorized Mean ( 12 / 32 )[/C][C]43834.0520833333[/C][C]813.516727468199[/C][C]53.8821767313283[/C][/ROW]
[ROW][C]Winsorized Mean ( 13 / 32 )[/C][C]43764.4479166667[/C][C]801.590804422433[/C][C]54.5969934724988[/C][/ROW]
[ROW][C]Winsorized Mean ( 14 / 32 )[/C][C]43782.2395833333[/C][C]774.504780339408[/C][C]56.5293342206963[/C][/ROW]
[ROW][C]Winsorized Mean ( 15 / 32 )[/C][C]43746.9270833333[/C][C]762.080486155002[/C][C]57.4046021097508[/C][/ROW]
[ROW][C]Winsorized Mean ( 16 / 32 )[/C][C]43825.7604166667[/C][C]740.869643360291[/C][C]59.1544825860193[/C][/ROW]
[ROW][C]Winsorized Mean ( 17 / 32 )[/C][C]43811.2395833333[/C][C]737.272929769125[/C][C]59.423366591057[/C][/ROW]
[ROW][C]Winsorized Mean ( 18 / 32 )[/C][C]43854.3645833333[/C][C]731.37412128775[/C][C]59.9616028334689[/C][/ROW]
[ROW][C]Winsorized Mean ( 19 / 32 )[/C][C]43863.2708333333[/C][C]729.680669233089[/C][C]60.1129681555558[/C][/ROW]
[ROW][C]Winsorized Mean ( 20 / 32 )[/C][C]43459.7291666667[/C][C]671.859802313496[/C][C]64.6857112406733[/C][/ROW]
[ROW][C]Winsorized Mean ( 21 / 32 )[/C][C]43386.6666666667[/C][C]658.893483103319[/C][C]65.8477702075911[/C][/ROW]
[ROW][C]Winsorized Mean ( 22 / 32 )[/C][C]43466.875[/C][C]647.340462844342[/C][C]67.1468531551564[/C][/ROW]
[ROW][C]Winsorized Mean ( 23 / 32 )[/C][C]43492.5104166667[/C][C]638.300315324[/C][C]68.1380055320668[/C][/ROW]
[ROW][C]Winsorized Mean ( 24 / 32 )[/C][C]43446.5104166667[/C][C]624.650165249499[/C][C]69.5533481517822[/C][/ROW]
[ROW][C]Winsorized Mean ( 25 / 32 )[/C][C]43449.6354166667[/C][C]608.907186039449[/C][C]71.356746008006[/C][/ROW]
[ROW][C]Winsorized Mean ( 26 / 32 )[/C][C]43314.7604166667[/C][C]573.654340293016[/C][C]75.5067248241196[/C][/ROW]
[ROW][C]Winsorized Mean ( 27 / 32 )[/C][C]43259.9166666667[/C][C]548.245945750777[/C][C]78.9060402579463[/C][/ROW]
[ROW][C]Winsorized Mean ( 28 / 32 )[/C][C]43246.5[/C][C]535.323873520884[/C][C]80.7856741295003[/C][/ROW]
[ROW][C]Winsorized Mean ( 29 / 32 )[/C][C]43260.6979166667[/C][C]527.11947884935[/C][C]82.0700043396243[/C][/ROW]
[ROW][C]Winsorized Mean ( 30 / 32 )[/C][C]43431.9479166667[/C][C]504.978540965337[/C][C]86.0075119897975[/C][/ROW]
[ROW][C]Winsorized Mean ( 31 / 32 )[/C][C]43494.2708333333[/C][C]486.527329806805[/C][C]89.3973846250414[/C][/ROW]
[ROW][C]Winsorized Mean ( 32 / 32 )[/C][C]43374.2708333333[/C][C]468.845581712194[/C][C]92.5129136867053[/C][/ROW]
[ROW][C]Trimmed Mean ( 1 / 32 )[/C][C]43644.7765957447[/C][C]1008.65660867979[/C][C]43.2702033776098[/C][/ROW]
[ROW][C]Trimmed Mean ( 2 / 32 )[/C][C]43650.7826086957[/C][C]976.115931614073[/C][C]44.71885069688[/C][/ROW]
[ROW][C]Trimmed Mean ( 3 / 32 )[/C][C]43663.2[/C][C]940.654127490834[/C][C]46.4179114553723[/C][/ROW]
[ROW][C]Trimmed Mean ( 4 / 32 )[/C][C]43676.3181818182[/C][C]910.611191047292[/C][C]47.9637397510854[/C][/ROW]
[ROW][C]Trimmed Mean ( 5 / 32 )[/C][C]43695.7093023256[/C][C]884.922584952358[/C][C]49.3780021499599[/C][/ROW]
[ROW][C]Trimmed Mean ( 6 / 32 )[/C][C]43708.5357142857[/C][C]861.534924657496[/C][C]50.7333300871837[/C][/ROW]
[ROW][C]Trimmed Mean ( 7 / 32 )[/C][C]43701.8658536585[/C][C]845.680095768406[/C][C]51.6765926883379[/C][/ROW]
[ROW][C]Trimmed Mean ( 8 / 32 )[/C][C]43695.6[/C][C]831.199863549409[/C][C]52.5693060311752[/C][/ROW]
[ROW][C]Trimmed Mean ( 9 / 32 )[/C][C]43687.9230769231[/C][C]815.370240010501[/C][C]53.5804729350441[/C][/ROW]
[ROW][C]Trimmed Mean ( 10 / 32 )[/C][C]43681.3421052632[/C][C]798.79601123336[/C][C]54.6839762479761[/C][/ROW]
[ROW][C]Trimmed Mean ( 11 / 32 )[/C][C]43674.0405405405[/C][C]784.840536710089[/C][C]55.6470244562218[/C][/ROW]
[ROW][C]Trimmed Mean ( 12 / 32 )[/C][C]43658.4027777778[/C][C]771.680261964553[/C][C]56.5757671015605[/C][/ROW]
[ROW][C]Trimmed Mean ( 13 / 32 )[/C][C]43638.3285714286[/C][C]760.649139719677[/C][C]57.3698520023445[/C][/ROW]
[ROW][C]Trimmed Mean ( 14 / 32 )[/C][C]43624.6323529412[/C][C]749.398486005424[/C][C]58.2128642739551[/C][/ROW]
[ROW][C]Trimmed Mean ( 15 / 32 )[/C][C]43608.2575757576[/C][C]740.195986555657[/C][C]58.9144745011105[/C][/ROW]
[ROW][C]Trimmed Mean ( 16 / 32 )[/C][C]43594.390625[/C][C]730.891426675598[/C][C]59.6455082573422[/C][/ROW]
[ROW][C]Trimmed Mean ( 17 / 32 )[/C][C]43572[/C][C]722.696969394265[/C][C]60.2908298294377[/C][/ROW]
[ROW][C]Trimmed Mean ( 18 / 32 )[/C][C]43549.4833333333[/C][C]712.981901455571[/C][C]61.0807697143868[/C][/ROW]
[ROW][C]Trimmed Mean ( 19 / 32 )[/C][C]43521.4482758621[/C][C]701.727972732104[/C][C]62.0203981699858[/C][/ROW]
[ROW][C]Trimmed Mean ( 20 / 32 )[/C][C]43490.6071428571[/C][C]687.886180406234[/C][C]63.2235511944339[/C][/ROW]
[ROW][C]Trimmed Mean ( 21 / 32 )[/C][C]43493.3518518519[/C][C]680.271729198528[/C][C]63.9352629030963[/C][/ROW]
[ROW][C]Trimmed Mean ( 22 / 32 )[/C][C]43502.7307692308[/C][C]672.369429263618[/C][C]64.7006375897773[/C][/ROW]
[ROW][C]Trimmed Mean ( 23 / 32 )[/C][C]43505.86[/C][C]663.845602906247[/C][C]65.5361123272277[/C][/ROW]
[ROW][C]Trimmed Mean ( 24 / 32 )[/C][C]43507.0208333333[/C][C]654.05225373156[/C][C]66.519181892751[/C][/ROW]
[ROW][C]Trimmed Mean ( 25 / 32 )[/C][C]43512.2826086957[/C][C]643.438051598199[/C][C]67.6246648774004[/C][/ROW]
[ROW][C]Trimmed Mean ( 26 / 32 )[/C][C]43517.75[/C][C]632.126862355171[/C][C]68.8433803269522[/C][/ROW]
[ROW][C]Trimmed Mean ( 27 / 32 )[/C][C]43535.5952380952[/C][C]623.529473814105[/C][C]69.8212306978686[/C][/ROW]
[ROW][C]Trimmed Mean ( 28 / 32 )[/C][C]43560.1[/C][C]616.269504606298[/C][C]70.6835234818705[/C][/ROW]
[ROW][C]Trimmed Mean ( 29 / 32 )[/C][C]43588.3947368421[/C][C]608.101409034083[/C][C]71.6794832067213[/C][/ROW]
[ROW][C]Trimmed Mean ( 30 / 32 )[/C][C]43618.5277777778[/C][C]597.667773464716[/C][C]72.9812275554335[/C][/ROW]
[ROW][C]Trimmed Mean ( 31 / 32 )[/C][C]43636.0882352941[/C][C]587.632729903868[/C][C]74.257416264803[/C][/ROW]
[ROW][C]Trimmed Mean ( 32 / 32 )[/C][C]43649.8125[/C][C]576.970559987019[/C][C]75.6534484202835[/C][/ROW]
[ROW][C]Median[/C][C]43761[/C][C][/C][C][/C][/ROW]
[ROW][C]Midrange[/C][C]43375[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - Weighted Average at Xnp[/C][C]43351.9387755102[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - Weighted Average at X(n+1)p[/C][C]43507.0208333333[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - Empirical Distribution Function[/C][C]43351.9387755102[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - Empirical Distribution Function - Averaging[/C][C]43507.0208333333[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - Empirical Distribution Function - Interpolation[/C][C]43507.0208333333[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - Closest Observation[/C][C]43351.9387755102[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - True Basic - Statistics Graphics Toolkit[/C][C]43507.0208333333[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - MS Excel (old versions)[/C][C]43505.86[/C][C][/C][C][/C][/ROW]
[ROW][C]Number of observations[/C][C]96[/C][C][/C][C][/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=277622&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=277622&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 Mean43639.156251040.6604378959541.9340974835477
Geometric Mean42380.666900831
Harmonic Mean41027.0171919524
Quadratic Mean44802.4385740005
Winsorized Mean ( 1 / 32 )43639.02083333331037.1999161223542.0738761689079
Winsorized Mean ( 2 / 32 )43627.51034.2555732455542.1825138085499
Winsorized Mean ( 3 / 32 )43627.1251010.0607178694243.1925766720491
Winsorized Mean ( 4 / 32 )43606.8333333333984.76209998519544.2815918017041
Winsorized Mean ( 5 / 32 )43639.59375963.7791387018945.2796621109458
Winsorized Mean ( 6 / 32 )43742.71875920.23537079064447.5342723594914
Winsorized Mean ( 7 / 32 )43738.4166666667902.9838135153748.4376530476116
Winsorized Mean ( 8 / 32 )43745.5897.97800494690448.7155584646938
Winsorized Mean ( 9 / 32 )43734.8125888.28361492880649.235189938188
Winsorized Mean ( 10 / 32 )43737.625859.16189849060650.9073145315676
Winsorized Mean ( 11 / 32 )43803.0520833333840.48679965131752.1162879672892
Winsorized Mean ( 12 / 32 )43834.0520833333813.51672746819953.8821767313283
Winsorized Mean ( 13 / 32 )43764.4479166667801.59080442243354.5969934724988
Winsorized Mean ( 14 / 32 )43782.2395833333774.50478033940856.5293342206963
Winsorized Mean ( 15 / 32 )43746.9270833333762.08048615500257.4046021097508
Winsorized Mean ( 16 / 32 )43825.7604166667740.86964336029159.1544825860193
Winsorized Mean ( 17 / 32 )43811.2395833333737.27292976912559.423366591057
Winsorized Mean ( 18 / 32 )43854.3645833333731.3741212877559.9616028334689
Winsorized Mean ( 19 / 32 )43863.2708333333729.68066923308960.1129681555558
Winsorized Mean ( 20 / 32 )43459.7291666667671.85980231349664.6857112406733
Winsorized Mean ( 21 / 32 )43386.6666666667658.89348310331965.8477702075911
Winsorized Mean ( 22 / 32 )43466.875647.34046284434267.1468531551564
Winsorized Mean ( 23 / 32 )43492.5104166667638.30031532468.1380055320668
Winsorized Mean ( 24 / 32 )43446.5104166667624.65016524949969.5533481517822
Winsorized Mean ( 25 / 32 )43449.6354166667608.90718603944971.356746008006
Winsorized Mean ( 26 / 32 )43314.7604166667573.65434029301675.5067248241196
Winsorized Mean ( 27 / 32 )43259.9166666667548.24594575077778.9060402579463
Winsorized Mean ( 28 / 32 )43246.5535.32387352088480.7856741295003
Winsorized Mean ( 29 / 32 )43260.6979166667527.1194788493582.0700043396243
Winsorized Mean ( 30 / 32 )43431.9479166667504.97854096533786.0075119897975
Winsorized Mean ( 31 / 32 )43494.2708333333486.52732980680589.3973846250414
Winsorized Mean ( 32 / 32 )43374.2708333333468.84558171219492.5129136867053
Trimmed Mean ( 1 / 32 )43644.77659574471008.6566086797943.2702033776098
Trimmed Mean ( 2 / 32 )43650.7826086957976.11593161407344.71885069688
Trimmed Mean ( 3 / 32 )43663.2940.65412749083446.4179114553723
Trimmed Mean ( 4 / 32 )43676.3181818182910.61119104729247.9637397510854
Trimmed Mean ( 5 / 32 )43695.7093023256884.92258495235849.3780021499599
Trimmed Mean ( 6 / 32 )43708.5357142857861.53492465749650.7333300871837
Trimmed Mean ( 7 / 32 )43701.8658536585845.68009576840651.6765926883379
Trimmed Mean ( 8 / 32 )43695.6831.19986354940952.5693060311752
Trimmed Mean ( 9 / 32 )43687.9230769231815.37024001050153.5804729350441
Trimmed Mean ( 10 / 32 )43681.3421052632798.7960112333654.6839762479761
Trimmed Mean ( 11 / 32 )43674.0405405405784.84053671008955.6470244562218
Trimmed Mean ( 12 / 32 )43658.4027777778771.68026196455356.5757671015605
Trimmed Mean ( 13 / 32 )43638.3285714286760.64913971967757.3698520023445
Trimmed Mean ( 14 / 32 )43624.6323529412749.39848600542458.2128642739551
Trimmed Mean ( 15 / 32 )43608.2575757576740.19598655565758.9144745011105
Trimmed Mean ( 16 / 32 )43594.390625730.89142667559859.6455082573422
Trimmed Mean ( 17 / 32 )43572722.69696939426560.2908298294377
Trimmed Mean ( 18 / 32 )43549.4833333333712.98190145557161.0807697143868
Trimmed Mean ( 19 / 32 )43521.4482758621701.72797273210462.0203981699858
Trimmed Mean ( 20 / 32 )43490.6071428571687.88618040623463.2235511944339
Trimmed Mean ( 21 / 32 )43493.3518518519680.27172919852863.9352629030963
Trimmed Mean ( 22 / 32 )43502.7307692308672.36942926361864.7006375897773
Trimmed Mean ( 23 / 32 )43505.86663.84560290624765.5361123272277
Trimmed Mean ( 24 / 32 )43507.0208333333654.0522537315666.519181892751
Trimmed Mean ( 25 / 32 )43512.2826086957643.43805159819967.6246648774004
Trimmed Mean ( 26 / 32 )43517.75632.12686235517168.8433803269522
Trimmed Mean ( 27 / 32 )43535.5952380952623.52947381410569.8212306978686
Trimmed Mean ( 28 / 32 )43560.1616.26950460629870.6835234818705
Trimmed Mean ( 29 / 32 )43588.3947368421608.10140903408371.6794832067213
Trimmed Mean ( 30 / 32 )43618.5277777778597.66777346471672.9812275554335
Trimmed Mean ( 31 / 32 )43636.0882352941587.63272990386874.257416264803
Trimmed Mean ( 32 / 32 )43649.8125576.97055998701975.6534484202835
Median43761
Midrange43375
Midmean - Weighted Average at Xnp43351.9387755102
Midmean - Weighted Average at X(n+1)p43507.0208333333
Midmean - Empirical Distribution Function43351.9387755102
Midmean - Empirical Distribution Function - Averaging43507.0208333333
Midmean - Empirical Distribution Function - Interpolation43507.0208333333
Midmean - Closest Observation43351.9387755102
Midmean - True Basic - Statistics Graphics Toolkit43507.0208333333
Midmean - MS Excel (old versions)43505.86
Number of observations96



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')