Free Statistics

of Irreproducible Research!

Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_centraltendency.wasp
Title produced by softwareCentral Tendency
Date of computationThu, 17 Nov 2011 11:37:59 -0500
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2011/Nov/17/t132154843699n3jyigz3t9pnp.htm/, Retrieved Thu, 31 Oct 2024 23:41:21 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=145109, Retrieved Thu, 31 Oct 2024 23:41:21 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact121
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Maximum-likelihood Fitting - Normal Distribution] [Intrinsic Motivat...] [2010-10-12 11:57:21] [b98453cac15ba1066b407e146608df68]
- R  D  [Maximum-likelihood Fitting - Normal Distribution] [WS3 - Taak 3 (EM1...] [2011-10-13 12:43:30] [16760482ab7535714acc81f7eb88a6ca]
- RM D      [Central Tendency] [WS7 - Tutorial (2)] [2011-11-17 16:37:59] [82ceb5b481b3a9ad89a8151bb4a3670f] [Current]
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Dataseries X:
-28205.97837
-53575.97509
-10734.10365
-28203.33237
-12632.63316
-49816.6061
128260.4167
-24410.76654
-13726.68326
15932.90644
-3370.04581
-48240.11541
-18597.64035
170.9164267
-593.6191667
28581.11289
-10862.81869
56745.20595
-43326.26972
-28314.27258
-10527.5927
112650.5268
3835.427347
-67833.84014
-30399.44013
2129.846585
27214.00211
-2323.270518
-378.5910857
20926.1108
20499.3727
-40978.72116
17743.14774
-22915.10356
37187.6772
45371.96532
85466.19006
4922.152679
21691.73737
44977.99426
66997.89787
-23361.61903
3531.592198
-23771.30324
2125.131416
148668.6976
-18965.08258
-21764.15738
29919.60747
-36003.53677
-15211.26432
207.4763478
46102.30746
-15373.87645
21286.84469
29228.8055
-12389.70578
-40668.40972
-4430.810792
20596.02624
49755.73325
19229.70659
10811.52545
23291.1477
-5366.322956
-3.80539097
-32629.69244
-12502.94656
-31685.13626
-35310.30862
-19361.64567
-17022.24096
-15481.29004
-2988.376826
-55745.84757
27951.11689
38171.43778
-30073.95166
-47615.53195
-11612.6142
3218.025406
101842.9026
26171.54851
-43604.84933
448.3626342
11495.27867
-59640.42044
81817.93506
43729.61588
-74050.8687
14335.2942
-46944.19132
-9615.056132
21970.60282
32397.97398
-5936.788519
-42154.70614
-18050.88949
-5920.334193
7318.700408
44.02752798
-28349.88514
22066.43591
-61260.59918
27731.54205
-53561.10647
-1597.746573
15142.77311
-47923.03942
-21820.33291
17663.79566
-17911.80513
4690.44137
-16477.17596
-131.6358949
-39408.41099
31845.05861
9834.410265
53462.98908
-24998.75087
33892.1052
-18094.48821
-24353.38737
-30618.84295
-4297.236256
-25909.32575
-10037.17545
-59422.20557
51539.52667
-792.4269494
-1244.156816
7468.84447
-14060.2665
32263.31756
53907.47149
-30118.14216
54202.49053
-28578.95619
2426.764874
-31463.24786
7944.278771
101122.8747
-53265.06565
86069.11802
28256.20668
-80876.21826
-14505.98303
-39679.02793
-8865.163215
2040.919633
-8167.690543
-7810.690543
-8332.298618
-8265.690543
4012.527536
7221.684806
-8265.690543
-8062.690543
-5547.8152
14800.55903
3538.264049
-5340.524358
-7296.690543
11820.15553




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'Gwilym Jenkins' @ jenkins.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 & 'Gwilym Jenkins' @ jenkins.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=145109&T=0

[TABLE]
[ROW][C]Summary of computational transaction[/C][/ROW]
[ROW][C]Raw Input[/C][C]view raw input (R code) [/C][/ROW]
[ROW][C]Raw Output[/C][C]view raw output of R engine [/C][/ROW]
[ROW][C]Computing time[/C][C]2 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Gwilym Jenkins' @ jenkins.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=145109&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=145109&T=0

As an alternative you can also use a QR Code:  

The GUIDs for individual cells are displayed in the table below:

Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'Gwilym Jenkins' @ jenkins.wessa.net







Central Tendency - Ungrouped Data
MeasureValueS.E.Value/S.E.
Arithmetic Mean3.17134412995995e-072931.519413392671.08180901530846e-10
Geometric MeanNaN
Harmonic Mean-677.635653443313
Quadratic Mean37427.1344025827
Winsorized Mean ( 1 / 54 )-82.82275175603652888.38855199202-0.0286743802868615
Winsorized Mean ( 2 / 54 )-197.3698412682312827.58562023733-0.0698015437112265
Winsorized Mean ( 3 / 54 )-274.8280712682322763.98792657442-0.0994317191569078
Winsorized Mean ( 4 / 54 )-252.8731727316462754.72727853515-0.091796082574865
Winsorized Mean ( 5 / 54 )-705.1762766950612655.92383461669-0.265510730203916
Winsorized Mean ( 6 / 54 )-592.7337142560372633.73905498472-0.225054077826808
Winsorized Mean ( 7 / 54 )-655.8354071828662591.17164963483-0.253103806255094
Winsorized Mean ( 8 / 54 )-1378.038752060912458.58953667474-0.56049972209868
Winsorized Mean ( 9 / 54 )-1924.440336817012365.54539806532-0.813529234480526
Winsorized Mean ( 10 / 54 )-1869.212036207262314.8610614918-0.807483467281034
Winsorized Mean ( 11 / 54 )-1783.259669438962298.64584831882-0.775787044682504
Winsorized Mean ( 12 / 54 )-1792.582090414572290.9511903282-0.782461930215882
Winsorized Mean ( 13 / 54 )-1920.676079560912265.61981686302-0.847748622811875
Winsorized Mean ( 14 / 54 )-2015.641561634092236.70807711053-0.901164341588095
Winsorized Mean ( 15 / 54 )-2044.368738463352153.12932157795-0.94948720356709
Winsorized Mean ( 16 / 54 )-2088.443131634082140.17920065158-0.975826291087333
Winsorized Mean ( 17 / 54 )-2007.839028951162120.39355260677-0.946918097578045
Winsorized Mean ( 18 / 54 )-2015.784646024332086.97777519987-0.965886973008748
Winsorized Mean ( 19 / 54 )-2623.76919809751999.1525803022-1.31244069309651
Winsorized Mean ( 20 / 54 )-2623.083684682861970.20113091205-1.33137863110889
Winsorized Mean ( 21 / 54 )-3010.425491146281915.06457946841-1.57197074366125
Winsorized Mean ( 22 / 54 )-2754.106308219451839.48573938663-1.49721536255986
Winsorized Mean ( 23 / 54 )-2675.770029012141826.55162827042-1.46492986433997
Winsorized Mean ( 24 / 54 )-2344.693361207261777.33121424023-1.319221393526
Winsorized Mean ( 25 / 54 )-2494.220031938961728.13043095261-1.44330542837791
Winsorized Mean ( 26 / 54 )-2568.559988158481711.94526813136-1.50037506220169
Winsorized Mean ( 27 / 54 )-2536.174426573111685.52793282067-1.5046765925314
Winsorized Mean ( 28 / 54 )-2554.187200475551675.43323715271-1.52449357207227
Winsorized Mean ( 29 / 54 )-2558.39429059751664.29372899086-1.53722521814029
Winsorized Mean ( 30 / 54 )-2590.476791817011658.9616891495-1.5615048911377
Winsorized Mean ( 31 / 54 )-2405.713856268231619.6156455181-1.48536096383452
Winsorized Mean ( 32 / 54 )-2564.422646512131592.50926559846-1.61030312470329
Winsorized Mean ( 33 / 54 )-3136.849550475551528.95196577698-2.05163381236864
Winsorized Mean ( 34 / 54 )-3368.30197559751500.00634175973-2.24552515667766
Winsorized Mean ( 35 / 54 )-3388.189464317011497.82300879517-2.26207598923349
Winsorized Mean ( 36 / 54 )-2945.84140260971441.21243694852-2.04400220750726
Winsorized Mean ( 37 / 54 )-2831.754564804821411.69757752447-2.00592153014141
Winsorized Mean ( 38 / 54 )-2779.098975048721389.87707116515-1.9995286149436
Winsorized Mean ( 39 / 54 )-2843.949647060911380.37791766282-2.06026886599007
Winsorized Mean ( 40 / 54 )-2725.551942182871364.4152587619-1.99759708393769
Winsorized Mean ( 41 / 54 )-2940.547417182871321.8068854416-2.22464222994304
Winsorized Mean ( 42 / 54 )-3206.899990109691272.12770875803-2.52089469322273
Winsorized Mean ( 43 / 54 )-2940.662194317011243.0009716498-2.36577626356475
Winsorized Mean ( 44 / 54 )-3389.97562334141194.92858743949-2.83696922056697
Winsorized Mean ( 45 / 54 )-2947.554726390181112.38306965183-2.64976590061977
Winsorized Mean ( 46 / 54 )-2932.310491877991092.7757919995-2.68335967299624
Winsorized Mean ( 47 / 54 )-2960.345017487741070.06765542419-2.76650266222112
Winsorized Mean ( 48 / 54 )-3549.21912382921985.015122784285-3.60321282560295
Winsorized Mean ( 49 / 54 )-3633.25954370726974.565848304588-3.72808009846424
Winsorized Mean ( 50 / 54 )-3799.31712297555950.958879016627-3.99524859256204
Winsorized Mean ( 51 / 54 )-3826.54335324994897.370516286758-4.26417325263131
Winsorized Mean ( 52 / 54 )-4253.0278513475826.587803428761-5.14528261088
Winsorized Mean ( 53 / 54 )-4084.83312081701783.722389715817-5.21209190195293
Winsorized Mean ( 54 / 54 )-4098.90291037799776.102028108854-5.28139698380364
Trimmed Mean ( 1 / 54 )-418.4720943703092776.45179052596-0.150721901888682
Trimmed Mean ( 2 / 54 )-762.5126705499372653.01378573679-0.287413761153214
Trimmed Mean ( 3 / 54 )-1055.814645240442553.02797381821-0.413553888193949
Trimmed Mean ( 4 / 54 )-1329.493701076862469.4985199886-0.538365862670367
Trimmed Mean ( 5 / 54 )-1616.126439142792380.76640018432-0.678826128853999
Trimmed Mean ( 6 / 54 )-1812.699895249932310.37980168557-0.784589570047076
Trimmed Mean ( 7 / 54 )-2035.00484378662238.37431059837-0.909144120423093
Trimmed Mean ( 8 / 54 )-2253.328963094532168.29390447685-1.03921749650364
Trimmed Mean ( 9 / 54 )-2376.229300945142116.7547498611-1.1225813009755
Trimmed Mean ( 10 / 54 )-2433.400126652712076.2687477578-1.17200633553849
Trimmed Mean ( 11 / 54 )-2498.559877943592039.91352281623-1.22483617565031
Trimmed Mean ( 12 / 54 )-2574.734705342792002.5901574007-1.28570226705035
Trimmed Mean ( 13 / 54 )-2652.194263826011962.89802178841-1.35116253334933
Trimmed Mean ( 14 / 54 )-2720.050022999931922.87506334793-1.41457449568462
Trimmed Mean ( 15 / 54 )-2781.629440731271882.76002751932-1.47742112647052
Trimmed Mean ( 16 / 54 )-2842.695478696891849.009231195-1.53741551461032
Trimmed Mean ( 17 / 54 )-2902.165375292231813.52607127241-1.60028875308973
Trimmed Mean ( 18 / 54 )-2969.568647718671776.80211955688-1.67129958650616
Trimmed Mean ( 19 / 54 )-3038.53715577771740.17882864729-1.74610626549208
Trimmed Mean ( 20 / 54 )-3067.408949096691709.65021035167-1.79417341075034
Trimmed Mean ( 21 / 54 )-3097.273434081891679.08986375163-1.84461445509627
Trimmed Mean ( 22 / 54 )-3102.925443066581651.16929332951-1.8792291351359
Trimmed Mean ( 23 / 54 )-3124.961782864321627.96437104526-1.91955170422918
Trimmed Mean ( 24 / 54 )-3152.573269982671603.53069526058-1.96601990800704
Trimmed Mean ( 25 / 54 )-3200.998820070091581.1948596718-2.02441767407118
Trimmed Mean ( 26 / 54 )-3242.395863374911561.14052582421-2.07694042255617
Trimmed Mean ( 27 / 54 )-3281.035403072641540.33374490287-2.1300808437976
Trimmed Mean ( 28 / 54 )-3322.927447018431519.60388273289-2.18670634155159
Trimmed Mean ( 29 / 54 )-3365.405007811231497.36210118896-2.24755588854491
Trimmed Mean ( 30 / 54 )-3409.287553442211473.49828135887-2.31373704100838
Trimmed Mean ( 31 / 54 )-3453.171528901861447.21773098209-2.38607602365301
Trimmed Mean ( 32 / 54 )-3508.58541867991421.50953238398-2.46821096781232
Trimmed Mean ( 33 / 54 )-3557.961277938671395.28922245977-2.54998119434069
Trimmed Mean ( 34 / 54 )-3579.761253729061372.21767551818-2.60874154122615
Trimmed Mean ( 35 / 54 )-3590.612105297771348.99578115579-2.66169261272366
Trimmed Mean ( 36 / 54 )-3600.921829869461322.80474469963-2.72218696243572
Trimmed Mean ( 37 / 54 )-3634.080221866561298.80127691393-2.79802636974723
Trimmed Mean ( 38 / 54 )-3674.492202136251274.41165647971-2.88328514844743
Trimmed Mean ( 39 / 54 )-3719.426256371981248.74465860995-2.97853226496462
Trimmed Mean ( 40 / 54 )-3763.253534737981220.27374734533-3.08394206048013
Trimmed Mean ( 41 / 54 )-3815.138614365731189.16646905483-3.2082460392598
Trimmed Mean ( 42 / 54 )-3858.868174224881158.29982494009-3.33149335874627
Trimmed Mean ( 43 / 54 )-3891.506386128081128.55139920156-3.44823141319154
Trimmed Mean ( 44 / 54 )-3939.223169315661097.29847071361-3.58992860598251
Trimmed Mean ( 45 / 54 )-3966.887971999861067.03126245655-3.71768673662586
Trimmed Mean ( 46 / 54 )-4018.483852333191041.78249006712-3.85731560152667
Trimmed Mean ( 47 / 54 )-4018.483852333191014.42363702923-3.96134682360264
Trimmed Mean ( 48 / 54 )-4130.94070099985984.992575319815-4.19388003981511
Trimmed Mean ( 49 / 54 )-4161.05507557561962.078228065554-4.32506936981852
Trimmed Mean ( 50 / 54 )-4188.65662762484936.037673414818-4.47488038846123
Trimmed Mean ( 51 / 54 )-4209.25394335468908.178199525488-4.63483261936254
Trimmed Mean ( 52 / 54 )-4229.76522988317882.652089763935-4.79210923413144
Trimmed Mean ( 53 / 54 )-4228.50028627569862.5638090158-4.90224635218637
Trimmed Mean ( 54 / 54 )-4236.43876846411844.43581575153-5.01688664720334
Median-4364.023524
Midrange33896.23967
Midmean - Weighted Average at Xnp-4055.57433274687
Midmean - Weighted Average at X(n+1)p-3815.13861436573
Midmean - Empirical Distribution Function-4055.57433274687
Midmean - Empirical Distribution Function - Averaging-3815.13861436573
Midmean - Empirical Distribution Function - Interpolation-3815.13861436573
Midmean - Closest Observation-4055.57433274687
Midmean - True Basic - Statistics Graphics Toolkit-3815.13861436573
Midmean - MS Excel (old versions)-3763.25353473798
Number of observations164

\begin{tabular}{lllllllll}
\hline
Central Tendency - Ungrouped Data \tabularnewline
Measure & Value & S.E. & Value/S.E. \tabularnewline
Arithmetic Mean & 3.17134412995995e-07 & 2931.51941339267 & 1.08180901530846e-10 \tabularnewline
Geometric Mean & NaN &  &  \tabularnewline
Harmonic Mean & -677.635653443313 &  &  \tabularnewline
Quadratic Mean & 37427.1344025827 &  &  \tabularnewline
Winsorized Mean ( 1 / 54 ) & -82.8227517560365 & 2888.38855199202 & -0.0286743802868615 \tabularnewline
Winsorized Mean ( 2 / 54 ) & -197.369841268231 & 2827.58562023733 & -0.0698015437112265 \tabularnewline
Winsorized Mean ( 3 / 54 ) & -274.828071268232 & 2763.98792657442 & -0.0994317191569078 \tabularnewline
Winsorized Mean ( 4 / 54 ) & -252.873172731646 & 2754.72727853515 & -0.091796082574865 \tabularnewline
Winsorized Mean ( 5 / 54 ) & -705.176276695061 & 2655.92383461669 & -0.265510730203916 \tabularnewline
Winsorized Mean ( 6 / 54 ) & -592.733714256037 & 2633.73905498472 & -0.225054077826808 \tabularnewline
Winsorized Mean ( 7 / 54 ) & -655.835407182866 & 2591.17164963483 & -0.253103806255094 \tabularnewline
Winsorized Mean ( 8 / 54 ) & -1378.03875206091 & 2458.58953667474 & -0.56049972209868 \tabularnewline
Winsorized Mean ( 9 / 54 ) & -1924.44033681701 & 2365.54539806532 & -0.813529234480526 \tabularnewline
Winsorized Mean ( 10 / 54 ) & -1869.21203620726 & 2314.8610614918 & -0.807483467281034 \tabularnewline
Winsorized Mean ( 11 / 54 ) & -1783.25966943896 & 2298.64584831882 & -0.775787044682504 \tabularnewline
Winsorized Mean ( 12 / 54 ) & -1792.58209041457 & 2290.9511903282 & -0.782461930215882 \tabularnewline
Winsorized Mean ( 13 / 54 ) & -1920.67607956091 & 2265.61981686302 & -0.847748622811875 \tabularnewline
Winsorized Mean ( 14 / 54 ) & -2015.64156163409 & 2236.70807711053 & -0.901164341588095 \tabularnewline
Winsorized Mean ( 15 / 54 ) & -2044.36873846335 & 2153.12932157795 & -0.94948720356709 \tabularnewline
Winsorized Mean ( 16 / 54 ) & -2088.44313163408 & 2140.17920065158 & -0.975826291087333 \tabularnewline
Winsorized Mean ( 17 / 54 ) & -2007.83902895116 & 2120.39355260677 & -0.946918097578045 \tabularnewline
Winsorized Mean ( 18 / 54 ) & -2015.78464602433 & 2086.97777519987 & -0.965886973008748 \tabularnewline
Winsorized Mean ( 19 / 54 ) & -2623.7691980975 & 1999.1525803022 & -1.31244069309651 \tabularnewline
Winsorized Mean ( 20 / 54 ) & -2623.08368468286 & 1970.20113091205 & -1.33137863110889 \tabularnewline
Winsorized Mean ( 21 / 54 ) & -3010.42549114628 & 1915.06457946841 & -1.57197074366125 \tabularnewline
Winsorized Mean ( 22 / 54 ) & -2754.10630821945 & 1839.48573938663 & -1.49721536255986 \tabularnewline
Winsorized Mean ( 23 / 54 ) & -2675.77002901214 & 1826.55162827042 & -1.46492986433997 \tabularnewline
Winsorized Mean ( 24 / 54 ) & -2344.69336120726 & 1777.33121424023 & -1.319221393526 \tabularnewline
Winsorized Mean ( 25 / 54 ) & -2494.22003193896 & 1728.13043095261 & -1.44330542837791 \tabularnewline
Winsorized Mean ( 26 / 54 ) & -2568.55998815848 & 1711.94526813136 & -1.50037506220169 \tabularnewline
Winsorized Mean ( 27 / 54 ) & -2536.17442657311 & 1685.52793282067 & -1.5046765925314 \tabularnewline
Winsorized Mean ( 28 / 54 ) & -2554.18720047555 & 1675.43323715271 & -1.52449357207227 \tabularnewline
Winsorized Mean ( 29 / 54 ) & -2558.3942905975 & 1664.29372899086 & -1.53722521814029 \tabularnewline
Winsorized Mean ( 30 / 54 ) & -2590.47679181701 & 1658.9616891495 & -1.5615048911377 \tabularnewline
Winsorized Mean ( 31 / 54 ) & -2405.71385626823 & 1619.6156455181 & -1.48536096383452 \tabularnewline
Winsorized Mean ( 32 / 54 ) & -2564.42264651213 & 1592.50926559846 & -1.61030312470329 \tabularnewline
Winsorized Mean ( 33 / 54 ) & -3136.84955047555 & 1528.95196577698 & -2.05163381236864 \tabularnewline
Winsorized Mean ( 34 / 54 ) & -3368.3019755975 & 1500.00634175973 & -2.24552515667766 \tabularnewline
Winsorized Mean ( 35 / 54 ) & -3388.18946431701 & 1497.82300879517 & -2.26207598923349 \tabularnewline
Winsorized Mean ( 36 / 54 ) & -2945.8414026097 & 1441.21243694852 & -2.04400220750726 \tabularnewline
Winsorized Mean ( 37 / 54 ) & -2831.75456480482 & 1411.69757752447 & -2.00592153014141 \tabularnewline
Winsorized Mean ( 38 / 54 ) & -2779.09897504872 & 1389.87707116515 & -1.9995286149436 \tabularnewline
Winsorized Mean ( 39 / 54 ) & -2843.94964706091 & 1380.37791766282 & -2.06026886599007 \tabularnewline
Winsorized Mean ( 40 / 54 ) & -2725.55194218287 & 1364.4152587619 & -1.99759708393769 \tabularnewline
Winsorized Mean ( 41 / 54 ) & -2940.54741718287 & 1321.8068854416 & -2.22464222994304 \tabularnewline
Winsorized Mean ( 42 / 54 ) & -3206.89999010969 & 1272.12770875803 & -2.52089469322273 \tabularnewline
Winsorized Mean ( 43 / 54 ) & -2940.66219431701 & 1243.0009716498 & -2.36577626356475 \tabularnewline
Winsorized Mean ( 44 / 54 ) & -3389.9756233414 & 1194.92858743949 & -2.83696922056697 \tabularnewline
Winsorized Mean ( 45 / 54 ) & -2947.55472639018 & 1112.38306965183 & -2.64976590061977 \tabularnewline
Winsorized Mean ( 46 / 54 ) & -2932.31049187799 & 1092.7757919995 & -2.68335967299624 \tabularnewline
Winsorized Mean ( 47 / 54 ) & -2960.34501748774 & 1070.06765542419 & -2.76650266222112 \tabularnewline
Winsorized Mean ( 48 / 54 ) & -3549.21912382921 & 985.015122784285 & -3.60321282560295 \tabularnewline
Winsorized Mean ( 49 / 54 ) & -3633.25954370726 & 974.565848304588 & -3.72808009846424 \tabularnewline
Winsorized Mean ( 50 / 54 ) & -3799.31712297555 & 950.958879016627 & -3.99524859256204 \tabularnewline
Winsorized Mean ( 51 / 54 ) & -3826.54335324994 & 897.370516286758 & -4.26417325263131 \tabularnewline
Winsorized Mean ( 52 / 54 ) & -4253.0278513475 & 826.587803428761 & -5.14528261088 \tabularnewline
Winsorized Mean ( 53 / 54 ) & -4084.83312081701 & 783.722389715817 & -5.21209190195293 \tabularnewline
Winsorized Mean ( 54 / 54 ) & -4098.90291037799 & 776.102028108854 & -5.28139698380364 \tabularnewline
Trimmed Mean ( 1 / 54 ) & -418.472094370309 & 2776.45179052596 & -0.150721901888682 \tabularnewline
Trimmed Mean ( 2 / 54 ) & -762.512670549937 & 2653.01378573679 & -0.287413761153214 \tabularnewline
Trimmed Mean ( 3 / 54 ) & -1055.81464524044 & 2553.02797381821 & -0.413553888193949 \tabularnewline
Trimmed Mean ( 4 / 54 ) & -1329.49370107686 & 2469.4985199886 & -0.538365862670367 \tabularnewline
Trimmed Mean ( 5 / 54 ) & -1616.12643914279 & 2380.76640018432 & -0.678826128853999 \tabularnewline
Trimmed Mean ( 6 / 54 ) & -1812.69989524993 & 2310.37980168557 & -0.784589570047076 \tabularnewline
Trimmed Mean ( 7 / 54 ) & -2035.0048437866 & 2238.37431059837 & -0.909144120423093 \tabularnewline
Trimmed Mean ( 8 / 54 ) & -2253.32896309453 & 2168.29390447685 & -1.03921749650364 \tabularnewline
Trimmed Mean ( 9 / 54 ) & -2376.22930094514 & 2116.7547498611 & -1.1225813009755 \tabularnewline
Trimmed Mean ( 10 / 54 ) & -2433.40012665271 & 2076.2687477578 & -1.17200633553849 \tabularnewline
Trimmed Mean ( 11 / 54 ) & -2498.55987794359 & 2039.91352281623 & -1.22483617565031 \tabularnewline
Trimmed Mean ( 12 / 54 ) & -2574.73470534279 & 2002.5901574007 & -1.28570226705035 \tabularnewline
Trimmed Mean ( 13 / 54 ) & -2652.19426382601 & 1962.89802178841 & -1.35116253334933 \tabularnewline
Trimmed Mean ( 14 / 54 ) & -2720.05002299993 & 1922.87506334793 & -1.41457449568462 \tabularnewline
Trimmed Mean ( 15 / 54 ) & -2781.62944073127 & 1882.76002751932 & -1.47742112647052 \tabularnewline
Trimmed Mean ( 16 / 54 ) & -2842.69547869689 & 1849.009231195 & -1.53741551461032 \tabularnewline
Trimmed Mean ( 17 / 54 ) & -2902.16537529223 & 1813.52607127241 & -1.60028875308973 \tabularnewline
Trimmed Mean ( 18 / 54 ) & -2969.56864771867 & 1776.80211955688 & -1.67129958650616 \tabularnewline
Trimmed Mean ( 19 / 54 ) & -3038.5371557777 & 1740.17882864729 & -1.74610626549208 \tabularnewline
Trimmed Mean ( 20 / 54 ) & -3067.40894909669 & 1709.65021035167 & -1.79417341075034 \tabularnewline
Trimmed Mean ( 21 / 54 ) & -3097.27343408189 & 1679.08986375163 & -1.84461445509627 \tabularnewline
Trimmed Mean ( 22 / 54 ) & -3102.92544306658 & 1651.16929332951 & -1.8792291351359 \tabularnewline
Trimmed Mean ( 23 / 54 ) & -3124.96178286432 & 1627.96437104526 & -1.91955170422918 \tabularnewline
Trimmed Mean ( 24 / 54 ) & -3152.57326998267 & 1603.53069526058 & -1.96601990800704 \tabularnewline
Trimmed Mean ( 25 / 54 ) & -3200.99882007009 & 1581.1948596718 & -2.02441767407118 \tabularnewline
Trimmed Mean ( 26 / 54 ) & -3242.39586337491 & 1561.14052582421 & -2.07694042255617 \tabularnewline
Trimmed Mean ( 27 / 54 ) & -3281.03540307264 & 1540.33374490287 & -2.1300808437976 \tabularnewline
Trimmed Mean ( 28 / 54 ) & -3322.92744701843 & 1519.60388273289 & -2.18670634155159 \tabularnewline
Trimmed Mean ( 29 / 54 ) & -3365.40500781123 & 1497.36210118896 & -2.24755588854491 \tabularnewline
Trimmed Mean ( 30 / 54 ) & -3409.28755344221 & 1473.49828135887 & -2.31373704100838 \tabularnewline
Trimmed Mean ( 31 / 54 ) & -3453.17152890186 & 1447.21773098209 & -2.38607602365301 \tabularnewline
Trimmed Mean ( 32 / 54 ) & -3508.5854186799 & 1421.50953238398 & -2.46821096781232 \tabularnewline
Trimmed Mean ( 33 / 54 ) & -3557.96127793867 & 1395.28922245977 & -2.54998119434069 \tabularnewline
Trimmed Mean ( 34 / 54 ) & -3579.76125372906 & 1372.21767551818 & -2.60874154122615 \tabularnewline
Trimmed Mean ( 35 / 54 ) & -3590.61210529777 & 1348.99578115579 & -2.66169261272366 \tabularnewline
Trimmed Mean ( 36 / 54 ) & -3600.92182986946 & 1322.80474469963 & -2.72218696243572 \tabularnewline
Trimmed Mean ( 37 / 54 ) & -3634.08022186656 & 1298.80127691393 & -2.79802636974723 \tabularnewline
Trimmed Mean ( 38 / 54 ) & -3674.49220213625 & 1274.41165647971 & -2.88328514844743 \tabularnewline
Trimmed Mean ( 39 / 54 ) & -3719.42625637198 & 1248.74465860995 & -2.97853226496462 \tabularnewline
Trimmed Mean ( 40 / 54 ) & -3763.25353473798 & 1220.27374734533 & -3.08394206048013 \tabularnewline
Trimmed Mean ( 41 / 54 ) & -3815.13861436573 & 1189.16646905483 & -3.2082460392598 \tabularnewline
Trimmed Mean ( 42 / 54 ) & -3858.86817422488 & 1158.29982494009 & -3.33149335874627 \tabularnewline
Trimmed Mean ( 43 / 54 ) & -3891.50638612808 & 1128.55139920156 & -3.44823141319154 \tabularnewline
Trimmed Mean ( 44 / 54 ) & -3939.22316931566 & 1097.29847071361 & -3.58992860598251 \tabularnewline
Trimmed Mean ( 45 / 54 ) & -3966.88797199986 & 1067.03126245655 & -3.71768673662586 \tabularnewline
Trimmed Mean ( 46 / 54 ) & -4018.48385233319 & 1041.78249006712 & -3.85731560152667 \tabularnewline
Trimmed Mean ( 47 / 54 ) & -4018.48385233319 & 1014.42363702923 & -3.96134682360264 \tabularnewline
Trimmed Mean ( 48 / 54 ) & -4130.94070099985 & 984.992575319815 & -4.19388003981511 \tabularnewline
Trimmed Mean ( 49 / 54 ) & -4161.05507557561 & 962.078228065554 & -4.32506936981852 \tabularnewline
Trimmed Mean ( 50 / 54 ) & -4188.65662762484 & 936.037673414818 & -4.47488038846123 \tabularnewline
Trimmed Mean ( 51 / 54 ) & -4209.25394335468 & 908.178199525488 & -4.63483261936254 \tabularnewline
Trimmed Mean ( 52 / 54 ) & -4229.76522988317 & 882.652089763935 & -4.79210923413144 \tabularnewline
Trimmed Mean ( 53 / 54 ) & -4228.50028627569 & 862.5638090158 & -4.90224635218637 \tabularnewline
Trimmed Mean ( 54 / 54 ) & -4236.43876846411 & 844.43581575153 & -5.01688664720334 \tabularnewline
Median & -4364.023524 &  &  \tabularnewline
Midrange & 33896.23967 &  &  \tabularnewline
Midmean - Weighted Average at Xnp & -4055.57433274687 &  &  \tabularnewline
Midmean - Weighted Average at X(n+1)p & -3815.13861436573 &  &  \tabularnewline
Midmean - Empirical Distribution Function & -4055.57433274687 &  &  \tabularnewline
Midmean - Empirical Distribution Function - Averaging & -3815.13861436573 &  &  \tabularnewline
Midmean - Empirical Distribution Function - Interpolation & -3815.13861436573 &  &  \tabularnewline
Midmean - Closest Observation & -4055.57433274687 &  &  \tabularnewline
Midmean - True Basic - Statistics Graphics Toolkit & -3815.13861436573 &  &  \tabularnewline
Midmean - MS Excel (old versions) & -3763.25353473798 &  &  \tabularnewline
Number of observations & 164 &  &  \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=145109&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]3.17134412995995e-07[/C][C]2931.51941339267[/C][C]1.08180901530846e-10[/C][/ROW]
[ROW][C]Geometric Mean[/C][C]NaN[/C][C][/C][C][/C][/ROW]
[ROW][C]Harmonic Mean[/C][C]-677.635653443313[/C][C][/C][C][/C][/ROW]
[ROW][C]Quadratic Mean[/C][C]37427.1344025827[/C][C][/C][C][/C][/ROW]
[ROW][C]Winsorized Mean ( 1 / 54 )[/C][C]-82.8227517560365[/C][C]2888.38855199202[/C][C]-0.0286743802868615[/C][/ROW]
[ROW][C]Winsorized Mean ( 2 / 54 )[/C][C]-197.369841268231[/C][C]2827.58562023733[/C][C]-0.0698015437112265[/C][/ROW]
[ROW][C]Winsorized Mean ( 3 / 54 )[/C][C]-274.828071268232[/C][C]2763.98792657442[/C][C]-0.0994317191569078[/C][/ROW]
[ROW][C]Winsorized Mean ( 4 / 54 )[/C][C]-252.873172731646[/C][C]2754.72727853515[/C][C]-0.091796082574865[/C][/ROW]
[ROW][C]Winsorized Mean ( 5 / 54 )[/C][C]-705.176276695061[/C][C]2655.92383461669[/C][C]-0.265510730203916[/C][/ROW]
[ROW][C]Winsorized Mean ( 6 / 54 )[/C][C]-592.733714256037[/C][C]2633.73905498472[/C][C]-0.225054077826808[/C][/ROW]
[ROW][C]Winsorized Mean ( 7 / 54 )[/C][C]-655.835407182866[/C][C]2591.17164963483[/C][C]-0.253103806255094[/C][/ROW]
[ROW][C]Winsorized Mean ( 8 / 54 )[/C][C]-1378.03875206091[/C][C]2458.58953667474[/C][C]-0.56049972209868[/C][/ROW]
[ROW][C]Winsorized Mean ( 9 / 54 )[/C][C]-1924.44033681701[/C][C]2365.54539806532[/C][C]-0.813529234480526[/C][/ROW]
[ROW][C]Winsorized Mean ( 10 / 54 )[/C][C]-1869.21203620726[/C][C]2314.8610614918[/C][C]-0.807483467281034[/C][/ROW]
[ROW][C]Winsorized Mean ( 11 / 54 )[/C][C]-1783.25966943896[/C][C]2298.64584831882[/C][C]-0.775787044682504[/C][/ROW]
[ROW][C]Winsorized Mean ( 12 / 54 )[/C][C]-1792.58209041457[/C][C]2290.9511903282[/C][C]-0.782461930215882[/C][/ROW]
[ROW][C]Winsorized Mean ( 13 / 54 )[/C][C]-1920.67607956091[/C][C]2265.61981686302[/C][C]-0.847748622811875[/C][/ROW]
[ROW][C]Winsorized Mean ( 14 / 54 )[/C][C]-2015.64156163409[/C][C]2236.70807711053[/C][C]-0.901164341588095[/C][/ROW]
[ROW][C]Winsorized Mean ( 15 / 54 )[/C][C]-2044.36873846335[/C][C]2153.12932157795[/C][C]-0.94948720356709[/C][/ROW]
[ROW][C]Winsorized Mean ( 16 / 54 )[/C][C]-2088.44313163408[/C][C]2140.17920065158[/C][C]-0.975826291087333[/C][/ROW]
[ROW][C]Winsorized Mean ( 17 / 54 )[/C][C]-2007.83902895116[/C][C]2120.39355260677[/C][C]-0.946918097578045[/C][/ROW]
[ROW][C]Winsorized Mean ( 18 / 54 )[/C][C]-2015.78464602433[/C][C]2086.97777519987[/C][C]-0.965886973008748[/C][/ROW]
[ROW][C]Winsorized Mean ( 19 / 54 )[/C][C]-2623.7691980975[/C][C]1999.1525803022[/C][C]-1.31244069309651[/C][/ROW]
[ROW][C]Winsorized Mean ( 20 / 54 )[/C][C]-2623.08368468286[/C][C]1970.20113091205[/C][C]-1.33137863110889[/C][/ROW]
[ROW][C]Winsorized Mean ( 21 / 54 )[/C][C]-3010.42549114628[/C][C]1915.06457946841[/C][C]-1.57197074366125[/C][/ROW]
[ROW][C]Winsorized Mean ( 22 / 54 )[/C][C]-2754.10630821945[/C][C]1839.48573938663[/C][C]-1.49721536255986[/C][/ROW]
[ROW][C]Winsorized Mean ( 23 / 54 )[/C][C]-2675.77002901214[/C][C]1826.55162827042[/C][C]-1.46492986433997[/C][/ROW]
[ROW][C]Winsorized Mean ( 24 / 54 )[/C][C]-2344.69336120726[/C][C]1777.33121424023[/C][C]-1.319221393526[/C][/ROW]
[ROW][C]Winsorized Mean ( 25 / 54 )[/C][C]-2494.22003193896[/C][C]1728.13043095261[/C][C]-1.44330542837791[/C][/ROW]
[ROW][C]Winsorized Mean ( 26 / 54 )[/C][C]-2568.55998815848[/C][C]1711.94526813136[/C][C]-1.50037506220169[/C][/ROW]
[ROW][C]Winsorized Mean ( 27 / 54 )[/C][C]-2536.17442657311[/C][C]1685.52793282067[/C][C]-1.5046765925314[/C][/ROW]
[ROW][C]Winsorized Mean ( 28 / 54 )[/C][C]-2554.18720047555[/C][C]1675.43323715271[/C][C]-1.52449357207227[/C][/ROW]
[ROW][C]Winsorized Mean ( 29 / 54 )[/C][C]-2558.3942905975[/C][C]1664.29372899086[/C][C]-1.53722521814029[/C][/ROW]
[ROW][C]Winsorized Mean ( 30 / 54 )[/C][C]-2590.47679181701[/C][C]1658.9616891495[/C][C]-1.5615048911377[/C][/ROW]
[ROW][C]Winsorized Mean ( 31 / 54 )[/C][C]-2405.71385626823[/C][C]1619.6156455181[/C][C]-1.48536096383452[/C][/ROW]
[ROW][C]Winsorized Mean ( 32 / 54 )[/C][C]-2564.42264651213[/C][C]1592.50926559846[/C][C]-1.61030312470329[/C][/ROW]
[ROW][C]Winsorized Mean ( 33 / 54 )[/C][C]-3136.84955047555[/C][C]1528.95196577698[/C][C]-2.05163381236864[/C][/ROW]
[ROW][C]Winsorized Mean ( 34 / 54 )[/C][C]-3368.3019755975[/C][C]1500.00634175973[/C][C]-2.24552515667766[/C][/ROW]
[ROW][C]Winsorized Mean ( 35 / 54 )[/C][C]-3388.18946431701[/C][C]1497.82300879517[/C][C]-2.26207598923349[/C][/ROW]
[ROW][C]Winsorized Mean ( 36 / 54 )[/C][C]-2945.8414026097[/C][C]1441.21243694852[/C][C]-2.04400220750726[/C][/ROW]
[ROW][C]Winsorized Mean ( 37 / 54 )[/C][C]-2831.75456480482[/C][C]1411.69757752447[/C][C]-2.00592153014141[/C][/ROW]
[ROW][C]Winsorized Mean ( 38 / 54 )[/C][C]-2779.09897504872[/C][C]1389.87707116515[/C][C]-1.9995286149436[/C][/ROW]
[ROW][C]Winsorized Mean ( 39 / 54 )[/C][C]-2843.94964706091[/C][C]1380.37791766282[/C][C]-2.06026886599007[/C][/ROW]
[ROW][C]Winsorized Mean ( 40 / 54 )[/C][C]-2725.55194218287[/C][C]1364.4152587619[/C][C]-1.99759708393769[/C][/ROW]
[ROW][C]Winsorized Mean ( 41 / 54 )[/C][C]-2940.54741718287[/C][C]1321.8068854416[/C][C]-2.22464222994304[/C][/ROW]
[ROW][C]Winsorized Mean ( 42 / 54 )[/C][C]-3206.89999010969[/C][C]1272.12770875803[/C][C]-2.52089469322273[/C][/ROW]
[ROW][C]Winsorized Mean ( 43 / 54 )[/C][C]-2940.66219431701[/C][C]1243.0009716498[/C][C]-2.36577626356475[/C][/ROW]
[ROW][C]Winsorized Mean ( 44 / 54 )[/C][C]-3389.9756233414[/C][C]1194.92858743949[/C][C]-2.83696922056697[/C][/ROW]
[ROW][C]Winsorized Mean ( 45 / 54 )[/C][C]-2947.55472639018[/C][C]1112.38306965183[/C][C]-2.64976590061977[/C][/ROW]
[ROW][C]Winsorized Mean ( 46 / 54 )[/C][C]-2932.31049187799[/C][C]1092.7757919995[/C][C]-2.68335967299624[/C][/ROW]
[ROW][C]Winsorized Mean ( 47 / 54 )[/C][C]-2960.34501748774[/C][C]1070.06765542419[/C][C]-2.76650266222112[/C][/ROW]
[ROW][C]Winsorized Mean ( 48 / 54 )[/C][C]-3549.21912382921[/C][C]985.015122784285[/C][C]-3.60321282560295[/C][/ROW]
[ROW][C]Winsorized Mean ( 49 / 54 )[/C][C]-3633.25954370726[/C][C]974.565848304588[/C][C]-3.72808009846424[/C][/ROW]
[ROW][C]Winsorized Mean ( 50 / 54 )[/C][C]-3799.31712297555[/C][C]950.958879016627[/C][C]-3.99524859256204[/C][/ROW]
[ROW][C]Winsorized Mean ( 51 / 54 )[/C][C]-3826.54335324994[/C][C]897.370516286758[/C][C]-4.26417325263131[/C][/ROW]
[ROW][C]Winsorized Mean ( 52 / 54 )[/C][C]-4253.0278513475[/C][C]826.587803428761[/C][C]-5.14528261088[/C][/ROW]
[ROW][C]Winsorized Mean ( 53 / 54 )[/C][C]-4084.83312081701[/C][C]783.722389715817[/C][C]-5.21209190195293[/C][/ROW]
[ROW][C]Winsorized Mean ( 54 / 54 )[/C][C]-4098.90291037799[/C][C]776.102028108854[/C][C]-5.28139698380364[/C][/ROW]
[ROW][C]Trimmed Mean ( 1 / 54 )[/C][C]-418.472094370309[/C][C]2776.45179052596[/C][C]-0.150721901888682[/C][/ROW]
[ROW][C]Trimmed Mean ( 2 / 54 )[/C][C]-762.512670549937[/C][C]2653.01378573679[/C][C]-0.287413761153214[/C][/ROW]
[ROW][C]Trimmed Mean ( 3 / 54 )[/C][C]-1055.81464524044[/C][C]2553.02797381821[/C][C]-0.413553888193949[/C][/ROW]
[ROW][C]Trimmed Mean ( 4 / 54 )[/C][C]-1329.49370107686[/C][C]2469.4985199886[/C][C]-0.538365862670367[/C][/ROW]
[ROW][C]Trimmed Mean ( 5 / 54 )[/C][C]-1616.12643914279[/C][C]2380.76640018432[/C][C]-0.678826128853999[/C][/ROW]
[ROW][C]Trimmed Mean ( 6 / 54 )[/C][C]-1812.69989524993[/C][C]2310.37980168557[/C][C]-0.784589570047076[/C][/ROW]
[ROW][C]Trimmed Mean ( 7 / 54 )[/C][C]-2035.0048437866[/C][C]2238.37431059837[/C][C]-0.909144120423093[/C][/ROW]
[ROW][C]Trimmed Mean ( 8 / 54 )[/C][C]-2253.32896309453[/C][C]2168.29390447685[/C][C]-1.03921749650364[/C][/ROW]
[ROW][C]Trimmed Mean ( 9 / 54 )[/C][C]-2376.22930094514[/C][C]2116.7547498611[/C][C]-1.1225813009755[/C][/ROW]
[ROW][C]Trimmed Mean ( 10 / 54 )[/C][C]-2433.40012665271[/C][C]2076.2687477578[/C][C]-1.17200633553849[/C][/ROW]
[ROW][C]Trimmed Mean ( 11 / 54 )[/C][C]-2498.55987794359[/C][C]2039.91352281623[/C][C]-1.22483617565031[/C][/ROW]
[ROW][C]Trimmed Mean ( 12 / 54 )[/C][C]-2574.73470534279[/C][C]2002.5901574007[/C][C]-1.28570226705035[/C][/ROW]
[ROW][C]Trimmed Mean ( 13 / 54 )[/C][C]-2652.19426382601[/C][C]1962.89802178841[/C][C]-1.35116253334933[/C][/ROW]
[ROW][C]Trimmed Mean ( 14 / 54 )[/C][C]-2720.05002299993[/C][C]1922.87506334793[/C][C]-1.41457449568462[/C][/ROW]
[ROW][C]Trimmed Mean ( 15 / 54 )[/C][C]-2781.62944073127[/C][C]1882.76002751932[/C][C]-1.47742112647052[/C][/ROW]
[ROW][C]Trimmed Mean ( 16 / 54 )[/C][C]-2842.69547869689[/C][C]1849.009231195[/C][C]-1.53741551461032[/C][/ROW]
[ROW][C]Trimmed Mean ( 17 / 54 )[/C][C]-2902.16537529223[/C][C]1813.52607127241[/C][C]-1.60028875308973[/C][/ROW]
[ROW][C]Trimmed Mean ( 18 / 54 )[/C][C]-2969.56864771867[/C][C]1776.80211955688[/C][C]-1.67129958650616[/C][/ROW]
[ROW][C]Trimmed Mean ( 19 / 54 )[/C][C]-3038.5371557777[/C][C]1740.17882864729[/C][C]-1.74610626549208[/C][/ROW]
[ROW][C]Trimmed Mean ( 20 / 54 )[/C][C]-3067.40894909669[/C][C]1709.65021035167[/C][C]-1.79417341075034[/C][/ROW]
[ROW][C]Trimmed Mean ( 21 / 54 )[/C][C]-3097.27343408189[/C][C]1679.08986375163[/C][C]-1.84461445509627[/C][/ROW]
[ROW][C]Trimmed Mean ( 22 / 54 )[/C][C]-3102.92544306658[/C][C]1651.16929332951[/C][C]-1.8792291351359[/C][/ROW]
[ROW][C]Trimmed Mean ( 23 / 54 )[/C][C]-3124.96178286432[/C][C]1627.96437104526[/C][C]-1.91955170422918[/C][/ROW]
[ROW][C]Trimmed Mean ( 24 / 54 )[/C][C]-3152.57326998267[/C][C]1603.53069526058[/C][C]-1.96601990800704[/C][/ROW]
[ROW][C]Trimmed Mean ( 25 / 54 )[/C][C]-3200.99882007009[/C][C]1581.1948596718[/C][C]-2.02441767407118[/C][/ROW]
[ROW][C]Trimmed Mean ( 26 / 54 )[/C][C]-3242.39586337491[/C][C]1561.14052582421[/C][C]-2.07694042255617[/C][/ROW]
[ROW][C]Trimmed Mean ( 27 / 54 )[/C][C]-3281.03540307264[/C][C]1540.33374490287[/C][C]-2.1300808437976[/C][/ROW]
[ROW][C]Trimmed Mean ( 28 / 54 )[/C][C]-3322.92744701843[/C][C]1519.60388273289[/C][C]-2.18670634155159[/C][/ROW]
[ROW][C]Trimmed Mean ( 29 / 54 )[/C][C]-3365.40500781123[/C][C]1497.36210118896[/C][C]-2.24755588854491[/C][/ROW]
[ROW][C]Trimmed Mean ( 30 / 54 )[/C][C]-3409.28755344221[/C][C]1473.49828135887[/C][C]-2.31373704100838[/C][/ROW]
[ROW][C]Trimmed Mean ( 31 / 54 )[/C][C]-3453.17152890186[/C][C]1447.21773098209[/C][C]-2.38607602365301[/C][/ROW]
[ROW][C]Trimmed Mean ( 32 / 54 )[/C][C]-3508.5854186799[/C][C]1421.50953238398[/C][C]-2.46821096781232[/C][/ROW]
[ROW][C]Trimmed Mean ( 33 / 54 )[/C][C]-3557.96127793867[/C][C]1395.28922245977[/C][C]-2.54998119434069[/C][/ROW]
[ROW][C]Trimmed Mean ( 34 / 54 )[/C][C]-3579.76125372906[/C][C]1372.21767551818[/C][C]-2.60874154122615[/C][/ROW]
[ROW][C]Trimmed Mean ( 35 / 54 )[/C][C]-3590.61210529777[/C][C]1348.99578115579[/C][C]-2.66169261272366[/C][/ROW]
[ROW][C]Trimmed Mean ( 36 / 54 )[/C][C]-3600.92182986946[/C][C]1322.80474469963[/C][C]-2.72218696243572[/C][/ROW]
[ROW][C]Trimmed Mean ( 37 / 54 )[/C][C]-3634.08022186656[/C][C]1298.80127691393[/C][C]-2.79802636974723[/C][/ROW]
[ROW][C]Trimmed Mean ( 38 / 54 )[/C][C]-3674.49220213625[/C][C]1274.41165647971[/C][C]-2.88328514844743[/C][/ROW]
[ROW][C]Trimmed Mean ( 39 / 54 )[/C][C]-3719.42625637198[/C][C]1248.74465860995[/C][C]-2.97853226496462[/C][/ROW]
[ROW][C]Trimmed Mean ( 40 / 54 )[/C][C]-3763.25353473798[/C][C]1220.27374734533[/C][C]-3.08394206048013[/C][/ROW]
[ROW][C]Trimmed Mean ( 41 / 54 )[/C][C]-3815.13861436573[/C][C]1189.16646905483[/C][C]-3.2082460392598[/C][/ROW]
[ROW][C]Trimmed Mean ( 42 / 54 )[/C][C]-3858.86817422488[/C][C]1158.29982494009[/C][C]-3.33149335874627[/C][/ROW]
[ROW][C]Trimmed Mean ( 43 / 54 )[/C][C]-3891.50638612808[/C][C]1128.55139920156[/C][C]-3.44823141319154[/C][/ROW]
[ROW][C]Trimmed Mean ( 44 / 54 )[/C][C]-3939.22316931566[/C][C]1097.29847071361[/C][C]-3.58992860598251[/C][/ROW]
[ROW][C]Trimmed Mean ( 45 / 54 )[/C][C]-3966.88797199986[/C][C]1067.03126245655[/C][C]-3.71768673662586[/C][/ROW]
[ROW][C]Trimmed Mean ( 46 / 54 )[/C][C]-4018.48385233319[/C][C]1041.78249006712[/C][C]-3.85731560152667[/C][/ROW]
[ROW][C]Trimmed Mean ( 47 / 54 )[/C][C]-4018.48385233319[/C][C]1014.42363702923[/C][C]-3.96134682360264[/C][/ROW]
[ROW][C]Trimmed Mean ( 48 / 54 )[/C][C]-4130.94070099985[/C][C]984.992575319815[/C][C]-4.19388003981511[/C][/ROW]
[ROW][C]Trimmed Mean ( 49 / 54 )[/C][C]-4161.05507557561[/C][C]962.078228065554[/C][C]-4.32506936981852[/C][/ROW]
[ROW][C]Trimmed Mean ( 50 / 54 )[/C][C]-4188.65662762484[/C][C]936.037673414818[/C][C]-4.47488038846123[/C][/ROW]
[ROW][C]Trimmed Mean ( 51 / 54 )[/C][C]-4209.25394335468[/C][C]908.178199525488[/C][C]-4.63483261936254[/C][/ROW]
[ROW][C]Trimmed Mean ( 52 / 54 )[/C][C]-4229.76522988317[/C][C]882.652089763935[/C][C]-4.79210923413144[/C][/ROW]
[ROW][C]Trimmed Mean ( 53 / 54 )[/C][C]-4228.50028627569[/C][C]862.5638090158[/C][C]-4.90224635218637[/C][/ROW]
[ROW][C]Trimmed Mean ( 54 / 54 )[/C][C]-4236.43876846411[/C][C]844.43581575153[/C][C]-5.01688664720334[/C][/ROW]
[ROW][C]Median[/C][C]-4364.023524[/C][C][/C][C][/C][/ROW]
[ROW][C]Midrange[/C][C]33896.23967[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - Weighted Average at Xnp[/C][C]-4055.57433274687[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - Weighted Average at X(n+1)p[/C][C]-3815.13861436573[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - Empirical Distribution Function[/C][C]-4055.57433274687[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - Empirical Distribution Function - Averaging[/C][C]-3815.13861436573[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - Empirical Distribution Function - Interpolation[/C][C]-3815.13861436573[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - Closest Observation[/C][C]-4055.57433274687[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - True Basic - Statistics Graphics Toolkit[/C][C]-3815.13861436573[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - MS Excel (old versions)[/C][C]-3763.25353473798[/C][C][/C][C][/C][/ROW]
[ROW][C]Number of observations[/C][C]164[/C][C][/C][C][/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=145109&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=145109&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 Mean3.17134412995995e-072931.519413392671.08180901530846e-10
Geometric MeanNaN
Harmonic Mean-677.635653443313
Quadratic Mean37427.1344025827
Winsorized Mean ( 1 / 54 )-82.82275175603652888.38855199202-0.0286743802868615
Winsorized Mean ( 2 / 54 )-197.3698412682312827.58562023733-0.0698015437112265
Winsorized Mean ( 3 / 54 )-274.8280712682322763.98792657442-0.0994317191569078
Winsorized Mean ( 4 / 54 )-252.8731727316462754.72727853515-0.091796082574865
Winsorized Mean ( 5 / 54 )-705.1762766950612655.92383461669-0.265510730203916
Winsorized Mean ( 6 / 54 )-592.7337142560372633.73905498472-0.225054077826808
Winsorized Mean ( 7 / 54 )-655.8354071828662591.17164963483-0.253103806255094
Winsorized Mean ( 8 / 54 )-1378.038752060912458.58953667474-0.56049972209868
Winsorized Mean ( 9 / 54 )-1924.440336817012365.54539806532-0.813529234480526
Winsorized Mean ( 10 / 54 )-1869.212036207262314.8610614918-0.807483467281034
Winsorized Mean ( 11 / 54 )-1783.259669438962298.64584831882-0.775787044682504
Winsorized Mean ( 12 / 54 )-1792.582090414572290.9511903282-0.782461930215882
Winsorized Mean ( 13 / 54 )-1920.676079560912265.61981686302-0.847748622811875
Winsorized Mean ( 14 / 54 )-2015.641561634092236.70807711053-0.901164341588095
Winsorized Mean ( 15 / 54 )-2044.368738463352153.12932157795-0.94948720356709
Winsorized Mean ( 16 / 54 )-2088.443131634082140.17920065158-0.975826291087333
Winsorized Mean ( 17 / 54 )-2007.839028951162120.39355260677-0.946918097578045
Winsorized Mean ( 18 / 54 )-2015.784646024332086.97777519987-0.965886973008748
Winsorized Mean ( 19 / 54 )-2623.76919809751999.1525803022-1.31244069309651
Winsorized Mean ( 20 / 54 )-2623.083684682861970.20113091205-1.33137863110889
Winsorized Mean ( 21 / 54 )-3010.425491146281915.06457946841-1.57197074366125
Winsorized Mean ( 22 / 54 )-2754.106308219451839.48573938663-1.49721536255986
Winsorized Mean ( 23 / 54 )-2675.770029012141826.55162827042-1.46492986433997
Winsorized Mean ( 24 / 54 )-2344.693361207261777.33121424023-1.319221393526
Winsorized Mean ( 25 / 54 )-2494.220031938961728.13043095261-1.44330542837791
Winsorized Mean ( 26 / 54 )-2568.559988158481711.94526813136-1.50037506220169
Winsorized Mean ( 27 / 54 )-2536.174426573111685.52793282067-1.5046765925314
Winsorized Mean ( 28 / 54 )-2554.187200475551675.43323715271-1.52449357207227
Winsorized Mean ( 29 / 54 )-2558.39429059751664.29372899086-1.53722521814029
Winsorized Mean ( 30 / 54 )-2590.476791817011658.9616891495-1.5615048911377
Winsorized Mean ( 31 / 54 )-2405.713856268231619.6156455181-1.48536096383452
Winsorized Mean ( 32 / 54 )-2564.422646512131592.50926559846-1.61030312470329
Winsorized Mean ( 33 / 54 )-3136.849550475551528.95196577698-2.05163381236864
Winsorized Mean ( 34 / 54 )-3368.30197559751500.00634175973-2.24552515667766
Winsorized Mean ( 35 / 54 )-3388.189464317011497.82300879517-2.26207598923349
Winsorized Mean ( 36 / 54 )-2945.84140260971441.21243694852-2.04400220750726
Winsorized Mean ( 37 / 54 )-2831.754564804821411.69757752447-2.00592153014141
Winsorized Mean ( 38 / 54 )-2779.098975048721389.87707116515-1.9995286149436
Winsorized Mean ( 39 / 54 )-2843.949647060911380.37791766282-2.06026886599007
Winsorized Mean ( 40 / 54 )-2725.551942182871364.4152587619-1.99759708393769
Winsorized Mean ( 41 / 54 )-2940.547417182871321.8068854416-2.22464222994304
Winsorized Mean ( 42 / 54 )-3206.899990109691272.12770875803-2.52089469322273
Winsorized Mean ( 43 / 54 )-2940.662194317011243.0009716498-2.36577626356475
Winsorized Mean ( 44 / 54 )-3389.97562334141194.92858743949-2.83696922056697
Winsorized Mean ( 45 / 54 )-2947.554726390181112.38306965183-2.64976590061977
Winsorized Mean ( 46 / 54 )-2932.310491877991092.7757919995-2.68335967299624
Winsorized Mean ( 47 / 54 )-2960.345017487741070.06765542419-2.76650266222112
Winsorized Mean ( 48 / 54 )-3549.21912382921985.015122784285-3.60321282560295
Winsorized Mean ( 49 / 54 )-3633.25954370726974.565848304588-3.72808009846424
Winsorized Mean ( 50 / 54 )-3799.31712297555950.958879016627-3.99524859256204
Winsorized Mean ( 51 / 54 )-3826.54335324994897.370516286758-4.26417325263131
Winsorized Mean ( 52 / 54 )-4253.0278513475826.587803428761-5.14528261088
Winsorized Mean ( 53 / 54 )-4084.83312081701783.722389715817-5.21209190195293
Winsorized Mean ( 54 / 54 )-4098.90291037799776.102028108854-5.28139698380364
Trimmed Mean ( 1 / 54 )-418.4720943703092776.45179052596-0.150721901888682
Trimmed Mean ( 2 / 54 )-762.5126705499372653.01378573679-0.287413761153214
Trimmed Mean ( 3 / 54 )-1055.814645240442553.02797381821-0.413553888193949
Trimmed Mean ( 4 / 54 )-1329.493701076862469.4985199886-0.538365862670367
Trimmed Mean ( 5 / 54 )-1616.126439142792380.76640018432-0.678826128853999
Trimmed Mean ( 6 / 54 )-1812.699895249932310.37980168557-0.784589570047076
Trimmed Mean ( 7 / 54 )-2035.00484378662238.37431059837-0.909144120423093
Trimmed Mean ( 8 / 54 )-2253.328963094532168.29390447685-1.03921749650364
Trimmed Mean ( 9 / 54 )-2376.229300945142116.7547498611-1.1225813009755
Trimmed Mean ( 10 / 54 )-2433.400126652712076.2687477578-1.17200633553849
Trimmed Mean ( 11 / 54 )-2498.559877943592039.91352281623-1.22483617565031
Trimmed Mean ( 12 / 54 )-2574.734705342792002.5901574007-1.28570226705035
Trimmed Mean ( 13 / 54 )-2652.194263826011962.89802178841-1.35116253334933
Trimmed Mean ( 14 / 54 )-2720.050022999931922.87506334793-1.41457449568462
Trimmed Mean ( 15 / 54 )-2781.629440731271882.76002751932-1.47742112647052
Trimmed Mean ( 16 / 54 )-2842.695478696891849.009231195-1.53741551461032
Trimmed Mean ( 17 / 54 )-2902.165375292231813.52607127241-1.60028875308973
Trimmed Mean ( 18 / 54 )-2969.568647718671776.80211955688-1.67129958650616
Trimmed Mean ( 19 / 54 )-3038.53715577771740.17882864729-1.74610626549208
Trimmed Mean ( 20 / 54 )-3067.408949096691709.65021035167-1.79417341075034
Trimmed Mean ( 21 / 54 )-3097.273434081891679.08986375163-1.84461445509627
Trimmed Mean ( 22 / 54 )-3102.925443066581651.16929332951-1.8792291351359
Trimmed Mean ( 23 / 54 )-3124.961782864321627.96437104526-1.91955170422918
Trimmed Mean ( 24 / 54 )-3152.573269982671603.53069526058-1.96601990800704
Trimmed Mean ( 25 / 54 )-3200.998820070091581.1948596718-2.02441767407118
Trimmed Mean ( 26 / 54 )-3242.395863374911561.14052582421-2.07694042255617
Trimmed Mean ( 27 / 54 )-3281.035403072641540.33374490287-2.1300808437976
Trimmed Mean ( 28 / 54 )-3322.927447018431519.60388273289-2.18670634155159
Trimmed Mean ( 29 / 54 )-3365.405007811231497.36210118896-2.24755588854491
Trimmed Mean ( 30 / 54 )-3409.287553442211473.49828135887-2.31373704100838
Trimmed Mean ( 31 / 54 )-3453.171528901861447.21773098209-2.38607602365301
Trimmed Mean ( 32 / 54 )-3508.58541867991421.50953238398-2.46821096781232
Trimmed Mean ( 33 / 54 )-3557.961277938671395.28922245977-2.54998119434069
Trimmed Mean ( 34 / 54 )-3579.761253729061372.21767551818-2.60874154122615
Trimmed Mean ( 35 / 54 )-3590.612105297771348.99578115579-2.66169261272366
Trimmed Mean ( 36 / 54 )-3600.921829869461322.80474469963-2.72218696243572
Trimmed Mean ( 37 / 54 )-3634.080221866561298.80127691393-2.79802636974723
Trimmed Mean ( 38 / 54 )-3674.492202136251274.41165647971-2.88328514844743
Trimmed Mean ( 39 / 54 )-3719.426256371981248.74465860995-2.97853226496462
Trimmed Mean ( 40 / 54 )-3763.253534737981220.27374734533-3.08394206048013
Trimmed Mean ( 41 / 54 )-3815.138614365731189.16646905483-3.2082460392598
Trimmed Mean ( 42 / 54 )-3858.868174224881158.29982494009-3.33149335874627
Trimmed Mean ( 43 / 54 )-3891.506386128081128.55139920156-3.44823141319154
Trimmed Mean ( 44 / 54 )-3939.223169315661097.29847071361-3.58992860598251
Trimmed Mean ( 45 / 54 )-3966.887971999861067.03126245655-3.71768673662586
Trimmed Mean ( 46 / 54 )-4018.483852333191041.78249006712-3.85731560152667
Trimmed Mean ( 47 / 54 )-4018.483852333191014.42363702923-3.96134682360264
Trimmed Mean ( 48 / 54 )-4130.94070099985984.992575319815-4.19388003981511
Trimmed Mean ( 49 / 54 )-4161.05507557561962.078228065554-4.32506936981852
Trimmed Mean ( 50 / 54 )-4188.65662762484936.037673414818-4.47488038846123
Trimmed Mean ( 51 / 54 )-4209.25394335468908.178199525488-4.63483261936254
Trimmed Mean ( 52 / 54 )-4229.76522988317882.652089763935-4.79210923413144
Trimmed Mean ( 53 / 54 )-4228.50028627569862.5638090158-4.90224635218637
Trimmed Mean ( 54 / 54 )-4236.43876846411844.43581575153-5.01688664720334
Median-4364.023524
Midrange33896.23967
Midmean - Weighted Average at Xnp-4055.57433274687
Midmean - Weighted Average at X(n+1)p-3815.13861436573
Midmean - Empirical Distribution Function-4055.57433274687
Midmean - Empirical Distribution Function - Averaging-3815.13861436573
Midmean - Empirical Distribution Function - Interpolation-3815.13861436573
Midmean - Closest Observation-4055.57433274687
Midmean - True Basic - Statistics Graphics Toolkit-3815.13861436573
Midmean - MS Excel (old versions)-3763.25353473798
Number of observations164



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')