Free Statistics

of Irreproducible Research!

Author's title

Author*Unverified author*
R Software Modulerwasp_centraltendency.wasp
Title produced by softwareCentral Tendency
Date of computationSun, 14 Mar 2010 11:43:08 -0600
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2010/Mar/14/t1268588640fefgo9w1lzlxubr.htm/, Retrieved Wed, 19 Jan 2022 11:16:25 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=74400, Retrieved Wed, 19 Jan 2022 11:16:25 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsKDGP1W52
Estimated Impact136
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Central Tendency] [Centrummaten - Ve...] [2010-03-14 17:43:08] [ad58d474f244f5a111ac648c17d02214] [Current]
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Dataseries X:
1954
2302
3054
2414
2226
2725
2589
3470
2400
3180
4009
3924
2072
2434
2956
2828
2687
2629
3150
4119
3030
3055
3821
4001
2529
2472
3134
2789
2758
2993
3282
3437
2804
3076
3782
3889
2271
2452
3084
2522
2769
3438
2839
3746
2632
2851
3871
3618
2389
2344
2678
2492
2858
2246
2800
3869
3007
3023
3907
4209
2353
2570
2903
2910
3782
2759
2931
3641
2794
3070
3576
4106
2452
2206
2488
2416
2534
2521
3093
3903
2907
3025
3812
4209
2138
2419
2622
2912
2708
2798
3254
2895
3263
3736
4077
4097
2175
3138
2823
2498
2822
2738
4137
3515
3785
3632
4504
4451
2550
2867
3458
2961
3163
2880
3331
3062
3534
3622
4464
5411
2564
2820
3508
3088
3299
2939
3320
3418
3604
3495
4163
4882
2211
3260
2992
2425
2707
3244
3965
3315
3333
3583
4021
4904
2252
2952
3573
3048
3059
2731
3563
3092
3478
3478
4308
5029
2075
3264
3308
3688
3136
2824
3644
4694
2914
3686
4358
5587
2265
3685
3754
3708
3210
3517
3905




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135

\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' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=74400&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' @ 72.249.127.135[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=74400&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=74400&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' @ 72.249.127.135







Central Tendency - Ungrouped Data
MeasureValueS.E.Value/S.E.
Arithmetic Mean3200.7714285714351.629685220474561.9947887519197
Geometric Mean3131.98832681867
Harmonic Mean3066.44898621515
Quadratic Mean3272.42362521376
Winsorized Mean ( 1 / 58 )3200.4451.282069743485462.4085575330463
Winsorized Mean ( 2 / 58 )3196.1085714285750.278782389064163.5677400995244
Winsorized Mean ( 3 / 58 )3195.0457142857149.707319286166964.2771680341826
Winsorized Mean ( 4 / 58 )3195.3885714285749.506638382268964.544648472295
Winsorized Mean ( 5 / 58 )3190.9028571428648.396616523491565.9323540850012
Winsorized Mean ( 6 / 58 )3184.5647.271890480037467.3668847947771
Winsorized Mean ( 7 / 58 )3183.5646.947477595129267.8110979136033
Winsorized Mean ( 8 / 58 )3183.8846.748315558460168.1068389730206
Winsorized Mean ( 9 / 58 )3179.4057142857145.987716713077769.1359767679349
Winsorized Mean ( 10 / 58 )3177.2914285714345.487320139817369.8500465361596
Winsorized Mean ( 11 / 58 )3171.4457142857144.582759424553171.1361466903527
Winsorized Mean ( 12 / 58 )3173.5714285714344.339307049838671.5746735735912
Winsorized Mean ( 13 / 58 )3173.2742857142943.539691358826472.8823330317659
Winsorized Mean ( 14 / 58 )3171.9142857142943.191628497037873.4381729999326
Winsorized Mean ( 15 / 58 )3173.4571428571442.663111290407774.384100148145
Winsorized Mean ( 16 / 58 )3173.2742857142942.406452569352874.8299867932743
Winsorized Mean ( 17 / 58 )3173.7642.154469994987475.288812796778
Winsorized Mean ( 18 / 58 )3171.9085714285741.875908062950175.7454278164044
Winsorized Mean ( 19 / 58 )3166.1542857142941.100868685575177.0337559027186
Winsorized Mean ( 20 / 58 )3165.4685714285740.866032714116377.4596495229429
Winsorized Mean ( 21 / 58 )3165.5885714285740.640282853129477.8928774405618
Winsorized Mean ( 22 / 58 )3163.3257142857139.878405675518379.3242774052953
Winsorized Mean ( 23 / 58 )3157.9371428571439.264950008016980.4263635179052
Winsorized Mean ( 24 / 58 )3158.3485714285738.723290911536381.561987555341
Winsorized Mean ( 25 / 58 )3160.3485714285738.460277734995282.1717563561158
Winsorized Mean ( 26 / 58 )3160.6457142857138.367610020209982.37796705661
Winsorized Mean ( 27 / 58 )3159.4114285714338.035837554785383.06406882774
Winsorized Mean ( 28 / 58 )3160.2114285714337.354742502481584.6000056983795
Winsorized Mean ( 29 / 58 )3160.0457142857137.302226206269584.7146681490713
Winsorized Mean ( 30 / 58 )3153.0171428571436.299255624629386.8617575925661
Winsorized Mean ( 31 / 58 )3152.3085714285736.043685106145387.4579988740139
Winsorized Mean ( 32 / 58 )3150.2971428571435.241018862429689.3929075988116
Winsorized Mean ( 33 / 58 )3152.3714285714334.925403431202990.260129271837
Winsorized Mean ( 34 / 58 )3153.5371428571434.812822274250790.5855066278166
Winsorized Mean ( 35 / 58 )3151.7371428571433.871661534762393.0493811064606
Winsorized Mean ( 36 / 58 )3156.8833.063543578347895.4791791303135
Winsorized Mean ( 37 / 58 )3156.2457142857132.710253301934396.4910202666962
Winsorized Mean ( 38 / 58 )3150.8171428571432.036181386851998.3518324112835
Winsorized Mean ( 39 / 58 )3156.6114285714330.6539976564226102.975522603984
Winsorized Mean ( 40 / 58 )3158.2114285714330.4245855866103.804583289457
Winsorized Mean ( 41 / 58 )3162.6628571428629.9880190134951105.464214082284
Winsorized Mean ( 42 / 58 )3153.0628571428628.9954564747031108.743342595545
Winsorized Mean ( 43 / 58 )3156.5028571428628.5580247902449110.529452941055
Winsorized Mean ( 44 / 58 )3155.7485714285728.2071384233539111.877657494522
Winsorized Mean ( 45 / 58 )3154.9771428571427.8027900860775113.476997563530
Winsorized Mean ( 46 / 58 )3159.1828571428627.2521764537029115.924057020173
Winsorized Mean ( 47 / 58 )3155.6914285714326.8672167250933117.455092608238
Winsorized Mean ( 48 / 58 )3152.6742857142926.0856316478223120.858652313964
Winsorized Mean ( 49 / 58 )3156.3142857142925.4306034132130124.114801148381
Winsorized Mean ( 50 / 58 )3156.8857142857125.2309982895879125.119334481049
Winsorized Mean ( 51 / 58 )3155.1371428571424.8591808763827126.920398485642
Winsorized Mean ( 52 / 58 )3147.1142857142924.0044698316319131.105344454106
Winsorized Mean ( 53 / 58 )3143.1771428571423.4292012571035134.156393483716
Winsorized Mean ( 54 / 58 )3147.4971428571422.9647918914967137.057507759197
Winsorized Mean ( 55 / 58 )3145.9257142857122.7113160413751138.517984098963
Winsorized Mean ( 56 / 58 )3142.0857142857122.3053210454092140.867092111745
Winsorized Mean ( 57 / 58 )3136.8742857142921.777469288548144.042186176511
Winsorized Mean ( 58 / 58 )3138.221.6682010319406144.829743612497
Trimmed Mean ( 1 / 58 )3194.1849710982749.839179491354564.089838630918
Trimmed Mean ( 2 / 58 )3187.7836257309948.26955936194166.0412829093373
Trimmed Mean ( 3 / 58 )3183.4733727810647.142999356798367.5280193499608
Trimmed Mean ( 4 / 58 )3179.4311377245546.150491494287168.8926820664115
Trimmed Mean ( 5 / 58 )3175.245.138212810522470.3439459007515
Trimmed Mean ( 6 / 58 )3171.8282208589044.327412884891471.5545531406365
Trimmed Mean ( 7 / 58 )3169.5217391304343.697033676130772.5340251382275
Trimmed Mean ( 8 / 58 )3167.3144654088143.078464354066773.5243122729793
Trimmed Mean ( 9 / 58 )3165.0063694267542.444278539393874.5685043624716
Trimmed Mean ( 10 / 58 )3163.241.879507173228275.5309747776138
Trimmed Mean ( 11 / 58 )3161.5882352941241.341715886373676.4745286331038
Trimmed Mean ( 12 / 58 )3160.5496688741740.882818261807377.3075292567771
Trimmed Mean ( 13 / 58 )3159.2751677852340.415896172636978.1691232155378
Trimmed Mean ( 14 / 58 )3157.9931972789140.005324751121678.9393216259386
Trimmed Mean ( 15 / 58 )3156.7931034482839.599083855544479.7188418541223
Trimmed Mean ( 16 / 58 )3155.4335664335739.214470581512880.4660504054122
Trimmed Mean ( 17 / 58 )3154.0496453900738.822281445066081.2432842169024
Trimmed Mean ( 18 / 58 )3152.5899280575538.419946050250882.0560737887077
Trimmed Mean ( 19 / 58 )3151.2189781021938.008782282885582.9076542007797
Trimmed Mean ( 20 / 58 )3150.237.636239783651583.7012416253227
Trimmed Mean ( 21 / 58 )3149.1954887218037.250464602249784.541106328419
Trimmed Mean ( 22 / 58 )3148.1526717557336.848419844175485.4352149988693
Trimmed Mean ( 23 / 58 )3147.2170542635736.477878970959986.2774136832098
Trimmed Mean ( 24 / 58 )3146.5748031496136.126578494944887.0986108908682
Trimmed Mean ( 25 / 58 )3145.88835.787300353346687.9051498419554
Trimmed Mean ( 26 / 58 )3145.0650406504135.435051970448688.7557620424337
Trimmed Mean ( 27 / 58 )3144.1983471074435.053213423694889.6978633343232
Trimmed Mean ( 28 / 58 )3143.3697478991634.659866524039290.6919172847651
Trimmed Mean ( 29 / 58 )3143.3697478991634.283387509106491.6878399797632
Trimmed Mean ( 30 / 58 )3141.5478260869633.869373161668492.7548263468424
Trimmed Mean ( 31 / 58 )3141.5478260869633.498616377498193.7814204230004
Trimmed Mean ( 32 / 58 )3140.3783783783833.107288562288194.8545928933464
Trimmed Mean ( 33 / 58 )3139.8807339449532.740886281797795.9009083297349
Trimmed Mean ( 34 / 58 )3139.2616822429932.357527431156697.0179717508404
Trimmed Mean ( 35 / 58 )3138.5619047619031.936807808630698.2741269436998
Trimmed Mean ( 36 / 58 )3137.9223300970931.549150294700699.4613896344515
Trimmed Mean ( 37 / 58 )3137.009900990131.1831335949722100.599572247476
Trimmed Mean ( 38 / 58 )3136.0909090909130.8007778821000101.818561891369
Trimmed Mean ( 39 / 58 )3135.3917525773230.4302888929653103.035227946920
Trimmed Mean ( 40 / 58 )3134.3894736842130.1326975444822104.019544518283
Trimmed Mean ( 41 / 58 )3133.268817204329.8110542820358105.104260572643
Trimmed Mean ( 42 / 58 )3131.8901098901129.4794539512248106.239759904372
Trimmed Mean ( 43 / 58 )3130.8988764044929.1945765605095107.242482860312
Trimmed Mean ( 44 / 58 )3129.7011494252928.9029435005248108.283128649802
Trimmed Mean ( 45 / 58 )3129.7011494252928.5967844648102109.442414872782
Trimmed Mean ( 46 / 58 )3127.2409638554228.2789648013935110.585411659105
Trimmed Mean ( 47 / 58 )3125.7407407407427.9588309431777111.797977071837
Trimmed Mean ( 48 / 58 )3124.3291139240527.6236221200706113.103527855386
Trimmed Mean ( 49 / 58 )3122.9870129870127.3118587053695114.345458750233
Trimmed Mean ( 50 / 58 )3121.427.0077399650178115.574276264621
Trimmed Mean ( 51 / 58 )3119.6986301369926.6642599151608116.999258185418
Trimmed Mean ( 52 / 58 )3117.9859154929626.2962191968234118.571643024242
Trimmed Mean ( 53 / 58 )3116.5652173913025.9614318034978120.045968226275
Trimmed Mean ( 54 / 58 )3115.2537313432825.6274878509785121.559075530860
Trimmed Mean ( 55 / 58 )3113.6461538461525.2729753694271123.200616798478
Trimmed Mean ( 56 / 58 )3112.0158730158724.8721718378623125.120391307305
Trimmed Mean ( 57 / 58 )3110.4754098360724.4390465877617127.274826318049
Trimmed Mean ( 58 / 58 )3110.4754098360723.9858190974647129.679766081653
Median3076
Midrange3770.5
Midmean - Weighted Average at Xnp3125.10227272727
Midmean - Weighted Average at X(n+1)p3130.89887640449
Midmean - Empirical Distribution Function3130.89887640449
Midmean - Empirical Distribution Function - Averaging3130.89887640449
Midmean - Empirical Distribution Function - Interpolation3129.70114942529
Midmean - Closest Observation3125.10227272727
Midmean - True Basic - Statistics Graphics Toolkit3130.89887640449
Midmean - MS Excel (old versions)3130.89887640449
Number of observations175

\begin{tabular}{lllllllll}
\hline
Central Tendency - Ungrouped Data \tabularnewline
Measure & Value & S.E. & Value/S.E. \tabularnewline
Arithmetic Mean & 3200.77142857143 & 51.6296852204745 & 61.9947887519197 \tabularnewline
Geometric Mean & 3131.98832681867 &  &  \tabularnewline
Harmonic Mean & 3066.44898621515 &  &  \tabularnewline
Quadratic Mean & 3272.42362521376 &  &  \tabularnewline
Winsorized Mean ( 1 / 58 ) & 3200.44 & 51.2820697434854 & 62.4085575330463 \tabularnewline
Winsorized Mean ( 2 / 58 ) & 3196.10857142857 & 50.2787823890641 & 63.5677400995244 \tabularnewline
Winsorized Mean ( 3 / 58 ) & 3195.04571428571 & 49.7073192861669 & 64.2771680341826 \tabularnewline
Winsorized Mean ( 4 / 58 ) & 3195.38857142857 & 49.5066383822689 & 64.544648472295 \tabularnewline
Winsorized Mean ( 5 / 58 ) & 3190.90285714286 & 48.3966165234915 & 65.9323540850012 \tabularnewline
Winsorized Mean ( 6 / 58 ) & 3184.56 & 47.2718904800374 & 67.3668847947771 \tabularnewline
Winsorized Mean ( 7 / 58 ) & 3183.56 & 46.9474775951292 & 67.8110979136033 \tabularnewline
Winsorized Mean ( 8 / 58 ) & 3183.88 & 46.7483155584601 & 68.1068389730206 \tabularnewline
Winsorized Mean ( 9 / 58 ) & 3179.40571428571 & 45.9877167130777 & 69.1359767679349 \tabularnewline
Winsorized Mean ( 10 / 58 ) & 3177.29142857143 & 45.4873201398173 & 69.8500465361596 \tabularnewline
Winsorized Mean ( 11 / 58 ) & 3171.44571428571 & 44.5827594245531 & 71.1361466903527 \tabularnewline
Winsorized Mean ( 12 / 58 ) & 3173.57142857143 & 44.3393070498386 & 71.5746735735912 \tabularnewline
Winsorized Mean ( 13 / 58 ) & 3173.27428571429 & 43.5396913588264 & 72.8823330317659 \tabularnewline
Winsorized Mean ( 14 / 58 ) & 3171.91428571429 & 43.1916284970378 & 73.4381729999326 \tabularnewline
Winsorized Mean ( 15 / 58 ) & 3173.45714285714 & 42.6631112904077 & 74.384100148145 \tabularnewline
Winsorized Mean ( 16 / 58 ) & 3173.27428571429 & 42.4064525693528 & 74.8299867932743 \tabularnewline
Winsorized Mean ( 17 / 58 ) & 3173.76 & 42.1544699949874 & 75.288812796778 \tabularnewline
Winsorized Mean ( 18 / 58 ) & 3171.90857142857 & 41.8759080629501 & 75.7454278164044 \tabularnewline
Winsorized Mean ( 19 / 58 ) & 3166.15428571429 & 41.1008686855751 & 77.0337559027186 \tabularnewline
Winsorized Mean ( 20 / 58 ) & 3165.46857142857 & 40.8660327141163 & 77.4596495229429 \tabularnewline
Winsorized Mean ( 21 / 58 ) & 3165.58857142857 & 40.6402828531294 & 77.8928774405618 \tabularnewline
Winsorized Mean ( 22 / 58 ) & 3163.32571428571 & 39.8784056755183 & 79.3242774052953 \tabularnewline
Winsorized Mean ( 23 / 58 ) & 3157.93714285714 & 39.2649500080169 & 80.4263635179052 \tabularnewline
Winsorized Mean ( 24 / 58 ) & 3158.34857142857 & 38.7232909115363 & 81.561987555341 \tabularnewline
Winsorized Mean ( 25 / 58 ) & 3160.34857142857 & 38.4602777349952 & 82.1717563561158 \tabularnewline
Winsorized Mean ( 26 / 58 ) & 3160.64571428571 & 38.3676100202099 & 82.37796705661 \tabularnewline
Winsorized Mean ( 27 / 58 ) & 3159.41142857143 & 38.0358375547853 & 83.06406882774 \tabularnewline
Winsorized Mean ( 28 / 58 ) & 3160.21142857143 & 37.3547425024815 & 84.6000056983795 \tabularnewline
Winsorized Mean ( 29 / 58 ) & 3160.04571428571 & 37.3022262062695 & 84.7146681490713 \tabularnewline
Winsorized Mean ( 30 / 58 ) & 3153.01714285714 & 36.2992556246293 & 86.8617575925661 \tabularnewline
Winsorized Mean ( 31 / 58 ) & 3152.30857142857 & 36.0436851061453 & 87.4579988740139 \tabularnewline
Winsorized Mean ( 32 / 58 ) & 3150.29714285714 & 35.2410188624296 & 89.3929075988116 \tabularnewline
Winsorized Mean ( 33 / 58 ) & 3152.37142857143 & 34.9254034312029 & 90.260129271837 \tabularnewline
Winsorized Mean ( 34 / 58 ) & 3153.53714285714 & 34.8128222742507 & 90.5855066278166 \tabularnewline
Winsorized Mean ( 35 / 58 ) & 3151.73714285714 & 33.8716615347623 & 93.0493811064606 \tabularnewline
Winsorized Mean ( 36 / 58 ) & 3156.88 & 33.0635435783478 & 95.4791791303135 \tabularnewline
Winsorized Mean ( 37 / 58 ) & 3156.24571428571 & 32.7102533019343 & 96.4910202666962 \tabularnewline
Winsorized Mean ( 38 / 58 ) & 3150.81714285714 & 32.0361813868519 & 98.3518324112835 \tabularnewline
Winsorized Mean ( 39 / 58 ) & 3156.61142857143 & 30.6539976564226 & 102.975522603984 \tabularnewline
Winsorized Mean ( 40 / 58 ) & 3158.21142857143 & 30.4245855866 & 103.804583289457 \tabularnewline
Winsorized Mean ( 41 / 58 ) & 3162.66285714286 & 29.9880190134951 & 105.464214082284 \tabularnewline
Winsorized Mean ( 42 / 58 ) & 3153.06285714286 & 28.9954564747031 & 108.743342595545 \tabularnewline
Winsorized Mean ( 43 / 58 ) & 3156.50285714286 & 28.5580247902449 & 110.529452941055 \tabularnewline
Winsorized Mean ( 44 / 58 ) & 3155.74857142857 & 28.2071384233539 & 111.877657494522 \tabularnewline
Winsorized Mean ( 45 / 58 ) & 3154.97714285714 & 27.8027900860775 & 113.476997563530 \tabularnewline
Winsorized Mean ( 46 / 58 ) & 3159.18285714286 & 27.2521764537029 & 115.924057020173 \tabularnewline
Winsorized Mean ( 47 / 58 ) & 3155.69142857143 & 26.8672167250933 & 117.455092608238 \tabularnewline
Winsorized Mean ( 48 / 58 ) & 3152.67428571429 & 26.0856316478223 & 120.858652313964 \tabularnewline
Winsorized Mean ( 49 / 58 ) & 3156.31428571429 & 25.4306034132130 & 124.114801148381 \tabularnewline
Winsorized Mean ( 50 / 58 ) & 3156.88571428571 & 25.2309982895879 & 125.119334481049 \tabularnewline
Winsorized Mean ( 51 / 58 ) & 3155.13714285714 & 24.8591808763827 & 126.920398485642 \tabularnewline
Winsorized Mean ( 52 / 58 ) & 3147.11428571429 & 24.0044698316319 & 131.105344454106 \tabularnewline
Winsorized Mean ( 53 / 58 ) & 3143.17714285714 & 23.4292012571035 & 134.156393483716 \tabularnewline
Winsorized Mean ( 54 / 58 ) & 3147.49714285714 & 22.9647918914967 & 137.057507759197 \tabularnewline
Winsorized Mean ( 55 / 58 ) & 3145.92571428571 & 22.7113160413751 & 138.517984098963 \tabularnewline
Winsorized Mean ( 56 / 58 ) & 3142.08571428571 & 22.3053210454092 & 140.867092111745 \tabularnewline
Winsorized Mean ( 57 / 58 ) & 3136.87428571429 & 21.777469288548 & 144.042186176511 \tabularnewline
Winsorized Mean ( 58 / 58 ) & 3138.2 & 21.6682010319406 & 144.829743612497 \tabularnewline
Trimmed Mean ( 1 / 58 ) & 3194.18497109827 & 49.8391794913545 & 64.089838630918 \tabularnewline
Trimmed Mean ( 2 / 58 ) & 3187.78362573099 & 48.269559361941 & 66.0412829093373 \tabularnewline
Trimmed Mean ( 3 / 58 ) & 3183.47337278106 & 47.1429993567983 & 67.5280193499608 \tabularnewline
Trimmed Mean ( 4 / 58 ) & 3179.43113772455 & 46.1504914942871 & 68.8926820664115 \tabularnewline
Trimmed Mean ( 5 / 58 ) & 3175.2 & 45.1382128105224 & 70.3439459007515 \tabularnewline
Trimmed Mean ( 6 / 58 ) & 3171.82822085890 & 44.3274128848914 & 71.5545531406365 \tabularnewline
Trimmed Mean ( 7 / 58 ) & 3169.52173913043 & 43.6970336761307 & 72.5340251382275 \tabularnewline
Trimmed Mean ( 8 / 58 ) & 3167.31446540881 & 43.0784643540667 & 73.5243122729793 \tabularnewline
Trimmed Mean ( 9 / 58 ) & 3165.00636942675 & 42.4442785393938 & 74.5685043624716 \tabularnewline
Trimmed Mean ( 10 / 58 ) & 3163.2 & 41.8795071732282 & 75.5309747776138 \tabularnewline
Trimmed Mean ( 11 / 58 ) & 3161.58823529412 & 41.3417158863736 & 76.4745286331038 \tabularnewline
Trimmed Mean ( 12 / 58 ) & 3160.54966887417 & 40.8828182618073 & 77.3075292567771 \tabularnewline
Trimmed Mean ( 13 / 58 ) & 3159.27516778523 & 40.4158961726369 & 78.1691232155378 \tabularnewline
Trimmed Mean ( 14 / 58 ) & 3157.99319727891 & 40.0053247511216 & 78.9393216259386 \tabularnewline
Trimmed Mean ( 15 / 58 ) & 3156.79310344828 & 39.5990838555444 & 79.7188418541223 \tabularnewline
Trimmed Mean ( 16 / 58 ) & 3155.43356643357 & 39.2144705815128 & 80.4660504054122 \tabularnewline
Trimmed Mean ( 17 / 58 ) & 3154.04964539007 & 38.8222814450660 & 81.2432842169024 \tabularnewline
Trimmed Mean ( 18 / 58 ) & 3152.58992805755 & 38.4199460502508 & 82.0560737887077 \tabularnewline
Trimmed Mean ( 19 / 58 ) & 3151.21897810219 & 38.0087822828855 & 82.9076542007797 \tabularnewline
Trimmed Mean ( 20 / 58 ) & 3150.2 & 37.6362397836515 & 83.7012416253227 \tabularnewline
Trimmed Mean ( 21 / 58 ) & 3149.19548872180 & 37.2504646022497 & 84.541106328419 \tabularnewline
Trimmed Mean ( 22 / 58 ) & 3148.15267175573 & 36.8484198441754 & 85.4352149988693 \tabularnewline
Trimmed Mean ( 23 / 58 ) & 3147.21705426357 & 36.4778789709599 & 86.2774136832098 \tabularnewline
Trimmed Mean ( 24 / 58 ) & 3146.57480314961 & 36.1265784949448 & 87.0986108908682 \tabularnewline
Trimmed Mean ( 25 / 58 ) & 3145.888 & 35.7873003533466 & 87.9051498419554 \tabularnewline
Trimmed Mean ( 26 / 58 ) & 3145.06504065041 & 35.4350519704486 & 88.7557620424337 \tabularnewline
Trimmed Mean ( 27 / 58 ) & 3144.19834710744 & 35.0532134236948 & 89.6978633343232 \tabularnewline
Trimmed Mean ( 28 / 58 ) & 3143.36974789916 & 34.6598665240392 & 90.6919172847651 \tabularnewline
Trimmed Mean ( 29 / 58 ) & 3143.36974789916 & 34.2833875091064 & 91.6878399797632 \tabularnewline
Trimmed Mean ( 30 / 58 ) & 3141.54782608696 & 33.8693731616684 & 92.7548263468424 \tabularnewline
Trimmed Mean ( 31 / 58 ) & 3141.54782608696 & 33.4986163774981 & 93.7814204230004 \tabularnewline
Trimmed Mean ( 32 / 58 ) & 3140.37837837838 & 33.1072885622881 & 94.8545928933464 \tabularnewline
Trimmed Mean ( 33 / 58 ) & 3139.88073394495 & 32.7408862817977 & 95.9009083297349 \tabularnewline
Trimmed Mean ( 34 / 58 ) & 3139.26168224299 & 32.3575274311566 & 97.0179717508404 \tabularnewline
Trimmed Mean ( 35 / 58 ) & 3138.56190476190 & 31.9368078086306 & 98.2741269436998 \tabularnewline
Trimmed Mean ( 36 / 58 ) & 3137.92233009709 & 31.5491502947006 & 99.4613896344515 \tabularnewline
Trimmed Mean ( 37 / 58 ) & 3137.0099009901 & 31.1831335949722 & 100.599572247476 \tabularnewline
Trimmed Mean ( 38 / 58 ) & 3136.09090909091 & 30.8007778821000 & 101.818561891369 \tabularnewline
Trimmed Mean ( 39 / 58 ) & 3135.39175257732 & 30.4302888929653 & 103.035227946920 \tabularnewline
Trimmed Mean ( 40 / 58 ) & 3134.38947368421 & 30.1326975444822 & 104.019544518283 \tabularnewline
Trimmed Mean ( 41 / 58 ) & 3133.2688172043 & 29.8110542820358 & 105.104260572643 \tabularnewline
Trimmed Mean ( 42 / 58 ) & 3131.89010989011 & 29.4794539512248 & 106.239759904372 \tabularnewline
Trimmed Mean ( 43 / 58 ) & 3130.89887640449 & 29.1945765605095 & 107.242482860312 \tabularnewline
Trimmed Mean ( 44 / 58 ) & 3129.70114942529 & 28.9029435005248 & 108.283128649802 \tabularnewline
Trimmed Mean ( 45 / 58 ) & 3129.70114942529 & 28.5967844648102 & 109.442414872782 \tabularnewline
Trimmed Mean ( 46 / 58 ) & 3127.24096385542 & 28.2789648013935 & 110.585411659105 \tabularnewline
Trimmed Mean ( 47 / 58 ) & 3125.74074074074 & 27.9588309431777 & 111.797977071837 \tabularnewline
Trimmed Mean ( 48 / 58 ) & 3124.32911392405 & 27.6236221200706 & 113.103527855386 \tabularnewline
Trimmed Mean ( 49 / 58 ) & 3122.98701298701 & 27.3118587053695 & 114.345458750233 \tabularnewline
Trimmed Mean ( 50 / 58 ) & 3121.4 & 27.0077399650178 & 115.574276264621 \tabularnewline
Trimmed Mean ( 51 / 58 ) & 3119.69863013699 & 26.6642599151608 & 116.999258185418 \tabularnewline
Trimmed Mean ( 52 / 58 ) & 3117.98591549296 & 26.2962191968234 & 118.571643024242 \tabularnewline
Trimmed Mean ( 53 / 58 ) & 3116.56521739130 & 25.9614318034978 & 120.045968226275 \tabularnewline
Trimmed Mean ( 54 / 58 ) & 3115.25373134328 & 25.6274878509785 & 121.559075530860 \tabularnewline
Trimmed Mean ( 55 / 58 ) & 3113.64615384615 & 25.2729753694271 & 123.200616798478 \tabularnewline
Trimmed Mean ( 56 / 58 ) & 3112.01587301587 & 24.8721718378623 & 125.120391307305 \tabularnewline
Trimmed Mean ( 57 / 58 ) & 3110.47540983607 & 24.4390465877617 & 127.274826318049 \tabularnewline
Trimmed Mean ( 58 / 58 ) & 3110.47540983607 & 23.9858190974647 & 129.679766081653 \tabularnewline
Median & 3076 &  &  \tabularnewline
Midrange & 3770.5 &  &  \tabularnewline
Midmean - Weighted Average at Xnp & 3125.10227272727 &  &  \tabularnewline
Midmean - Weighted Average at X(n+1)p & 3130.89887640449 &  &  \tabularnewline
Midmean - Empirical Distribution Function & 3130.89887640449 &  &  \tabularnewline
Midmean - Empirical Distribution Function - Averaging & 3130.89887640449 &  &  \tabularnewline
Midmean - Empirical Distribution Function - Interpolation & 3129.70114942529 &  &  \tabularnewline
Midmean - Closest Observation & 3125.10227272727 &  &  \tabularnewline
Midmean - True Basic - Statistics Graphics Toolkit & 3130.89887640449 &  &  \tabularnewline
Midmean - MS Excel (old versions) & 3130.89887640449 &  &  \tabularnewline
Number of observations & 175 &  &  \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=74400&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]3200.77142857143[/C][C]51.6296852204745[/C][C]61.9947887519197[/C][/ROW]
[ROW][C]Geometric Mean[/C][C]3131.98832681867[/C][C][/C][C][/C][/ROW]
[ROW][C]Harmonic Mean[/C][C]3066.44898621515[/C][C][/C][C][/C][/ROW]
[ROW][C]Quadratic Mean[/C][C]3272.42362521376[/C][C][/C][C][/C][/ROW]
[ROW][C]Winsorized Mean ( 1 / 58 )[/C][C]3200.44[/C][C]51.2820697434854[/C][C]62.4085575330463[/C][/ROW]
[ROW][C]Winsorized Mean ( 2 / 58 )[/C][C]3196.10857142857[/C][C]50.2787823890641[/C][C]63.5677400995244[/C][/ROW]
[ROW][C]Winsorized Mean ( 3 / 58 )[/C][C]3195.04571428571[/C][C]49.7073192861669[/C][C]64.2771680341826[/C][/ROW]
[ROW][C]Winsorized Mean ( 4 / 58 )[/C][C]3195.38857142857[/C][C]49.5066383822689[/C][C]64.544648472295[/C][/ROW]
[ROW][C]Winsorized Mean ( 5 / 58 )[/C][C]3190.90285714286[/C][C]48.3966165234915[/C][C]65.9323540850012[/C][/ROW]
[ROW][C]Winsorized Mean ( 6 / 58 )[/C][C]3184.56[/C][C]47.2718904800374[/C][C]67.3668847947771[/C][/ROW]
[ROW][C]Winsorized Mean ( 7 / 58 )[/C][C]3183.56[/C][C]46.9474775951292[/C][C]67.8110979136033[/C][/ROW]
[ROW][C]Winsorized Mean ( 8 / 58 )[/C][C]3183.88[/C][C]46.7483155584601[/C][C]68.1068389730206[/C][/ROW]
[ROW][C]Winsorized Mean ( 9 / 58 )[/C][C]3179.40571428571[/C][C]45.9877167130777[/C][C]69.1359767679349[/C][/ROW]
[ROW][C]Winsorized Mean ( 10 / 58 )[/C][C]3177.29142857143[/C][C]45.4873201398173[/C][C]69.8500465361596[/C][/ROW]
[ROW][C]Winsorized Mean ( 11 / 58 )[/C][C]3171.44571428571[/C][C]44.5827594245531[/C][C]71.1361466903527[/C][/ROW]
[ROW][C]Winsorized Mean ( 12 / 58 )[/C][C]3173.57142857143[/C][C]44.3393070498386[/C][C]71.5746735735912[/C][/ROW]
[ROW][C]Winsorized Mean ( 13 / 58 )[/C][C]3173.27428571429[/C][C]43.5396913588264[/C][C]72.8823330317659[/C][/ROW]
[ROW][C]Winsorized Mean ( 14 / 58 )[/C][C]3171.91428571429[/C][C]43.1916284970378[/C][C]73.4381729999326[/C][/ROW]
[ROW][C]Winsorized Mean ( 15 / 58 )[/C][C]3173.45714285714[/C][C]42.6631112904077[/C][C]74.384100148145[/C][/ROW]
[ROW][C]Winsorized Mean ( 16 / 58 )[/C][C]3173.27428571429[/C][C]42.4064525693528[/C][C]74.8299867932743[/C][/ROW]
[ROW][C]Winsorized Mean ( 17 / 58 )[/C][C]3173.76[/C][C]42.1544699949874[/C][C]75.288812796778[/C][/ROW]
[ROW][C]Winsorized Mean ( 18 / 58 )[/C][C]3171.90857142857[/C][C]41.8759080629501[/C][C]75.7454278164044[/C][/ROW]
[ROW][C]Winsorized Mean ( 19 / 58 )[/C][C]3166.15428571429[/C][C]41.1008686855751[/C][C]77.0337559027186[/C][/ROW]
[ROW][C]Winsorized Mean ( 20 / 58 )[/C][C]3165.46857142857[/C][C]40.8660327141163[/C][C]77.4596495229429[/C][/ROW]
[ROW][C]Winsorized Mean ( 21 / 58 )[/C][C]3165.58857142857[/C][C]40.6402828531294[/C][C]77.8928774405618[/C][/ROW]
[ROW][C]Winsorized Mean ( 22 / 58 )[/C][C]3163.32571428571[/C][C]39.8784056755183[/C][C]79.3242774052953[/C][/ROW]
[ROW][C]Winsorized Mean ( 23 / 58 )[/C][C]3157.93714285714[/C][C]39.2649500080169[/C][C]80.4263635179052[/C][/ROW]
[ROW][C]Winsorized Mean ( 24 / 58 )[/C][C]3158.34857142857[/C][C]38.7232909115363[/C][C]81.561987555341[/C][/ROW]
[ROW][C]Winsorized Mean ( 25 / 58 )[/C][C]3160.34857142857[/C][C]38.4602777349952[/C][C]82.1717563561158[/C][/ROW]
[ROW][C]Winsorized Mean ( 26 / 58 )[/C][C]3160.64571428571[/C][C]38.3676100202099[/C][C]82.37796705661[/C][/ROW]
[ROW][C]Winsorized Mean ( 27 / 58 )[/C][C]3159.41142857143[/C][C]38.0358375547853[/C][C]83.06406882774[/C][/ROW]
[ROW][C]Winsorized Mean ( 28 / 58 )[/C][C]3160.21142857143[/C][C]37.3547425024815[/C][C]84.6000056983795[/C][/ROW]
[ROW][C]Winsorized Mean ( 29 / 58 )[/C][C]3160.04571428571[/C][C]37.3022262062695[/C][C]84.7146681490713[/C][/ROW]
[ROW][C]Winsorized Mean ( 30 / 58 )[/C][C]3153.01714285714[/C][C]36.2992556246293[/C][C]86.8617575925661[/C][/ROW]
[ROW][C]Winsorized Mean ( 31 / 58 )[/C][C]3152.30857142857[/C][C]36.0436851061453[/C][C]87.4579988740139[/C][/ROW]
[ROW][C]Winsorized Mean ( 32 / 58 )[/C][C]3150.29714285714[/C][C]35.2410188624296[/C][C]89.3929075988116[/C][/ROW]
[ROW][C]Winsorized Mean ( 33 / 58 )[/C][C]3152.37142857143[/C][C]34.9254034312029[/C][C]90.260129271837[/C][/ROW]
[ROW][C]Winsorized Mean ( 34 / 58 )[/C][C]3153.53714285714[/C][C]34.8128222742507[/C][C]90.5855066278166[/C][/ROW]
[ROW][C]Winsorized Mean ( 35 / 58 )[/C][C]3151.73714285714[/C][C]33.8716615347623[/C][C]93.0493811064606[/C][/ROW]
[ROW][C]Winsorized Mean ( 36 / 58 )[/C][C]3156.88[/C][C]33.0635435783478[/C][C]95.4791791303135[/C][/ROW]
[ROW][C]Winsorized Mean ( 37 / 58 )[/C][C]3156.24571428571[/C][C]32.7102533019343[/C][C]96.4910202666962[/C][/ROW]
[ROW][C]Winsorized Mean ( 38 / 58 )[/C][C]3150.81714285714[/C][C]32.0361813868519[/C][C]98.3518324112835[/C][/ROW]
[ROW][C]Winsorized Mean ( 39 / 58 )[/C][C]3156.61142857143[/C][C]30.6539976564226[/C][C]102.975522603984[/C][/ROW]
[ROW][C]Winsorized Mean ( 40 / 58 )[/C][C]3158.21142857143[/C][C]30.4245855866[/C][C]103.804583289457[/C][/ROW]
[ROW][C]Winsorized Mean ( 41 / 58 )[/C][C]3162.66285714286[/C][C]29.9880190134951[/C][C]105.464214082284[/C][/ROW]
[ROW][C]Winsorized Mean ( 42 / 58 )[/C][C]3153.06285714286[/C][C]28.9954564747031[/C][C]108.743342595545[/C][/ROW]
[ROW][C]Winsorized Mean ( 43 / 58 )[/C][C]3156.50285714286[/C][C]28.5580247902449[/C][C]110.529452941055[/C][/ROW]
[ROW][C]Winsorized Mean ( 44 / 58 )[/C][C]3155.74857142857[/C][C]28.2071384233539[/C][C]111.877657494522[/C][/ROW]
[ROW][C]Winsorized Mean ( 45 / 58 )[/C][C]3154.97714285714[/C][C]27.8027900860775[/C][C]113.476997563530[/C][/ROW]
[ROW][C]Winsorized Mean ( 46 / 58 )[/C][C]3159.18285714286[/C][C]27.2521764537029[/C][C]115.924057020173[/C][/ROW]
[ROW][C]Winsorized Mean ( 47 / 58 )[/C][C]3155.69142857143[/C][C]26.8672167250933[/C][C]117.455092608238[/C][/ROW]
[ROW][C]Winsorized Mean ( 48 / 58 )[/C][C]3152.67428571429[/C][C]26.0856316478223[/C][C]120.858652313964[/C][/ROW]
[ROW][C]Winsorized Mean ( 49 / 58 )[/C][C]3156.31428571429[/C][C]25.4306034132130[/C][C]124.114801148381[/C][/ROW]
[ROW][C]Winsorized Mean ( 50 / 58 )[/C][C]3156.88571428571[/C][C]25.2309982895879[/C][C]125.119334481049[/C][/ROW]
[ROW][C]Winsorized Mean ( 51 / 58 )[/C][C]3155.13714285714[/C][C]24.8591808763827[/C][C]126.920398485642[/C][/ROW]
[ROW][C]Winsorized Mean ( 52 / 58 )[/C][C]3147.11428571429[/C][C]24.0044698316319[/C][C]131.105344454106[/C][/ROW]
[ROW][C]Winsorized Mean ( 53 / 58 )[/C][C]3143.17714285714[/C][C]23.4292012571035[/C][C]134.156393483716[/C][/ROW]
[ROW][C]Winsorized Mean ( 54 / 58 )[/C][C]3147.49714285714[/C][C]22.9647918914967[/C][C]137.057507759197[/C][/ROW]
[ROW][C]Winsorized Mean ( 55 / 58 )[/C][C]3145.92571428571[/C][C]22.7113160413751[/C][C]138.517984098963[/C][/ROW]
[ROW][C]Winsorized Mean ( 56 / 58 )[/C][C]3142.08571428571[/C][C]22.3053210454092[/C][C]140.867092111745[/C][/ROW]
[ROW][C]Winsorized Mean ( 57 / 58 )[/C][C]3136.87428571429[/C][C]21.777469288548[/C][C]144.042186176511[/C][/ROW]
[ROW][C]Winsorized Mean ( 58 / 58 )[/C][C]3138.2[/C][C]21.6682010319406[/C][C]144.829743612497[/C][/ROW]
[ROW][C]Trimmed Mean ( 1 / 58 )[/C][C]3194.18497109827[/C][C]49.8391794913545[/C][C]64.089838630918[/C][/ROW]
[ROW][C]Trimmed Mean ( 2 / 58 )[/C][C]3187.78362573099[/C][C]48.269559361941[/C][C]66.0412829093373[/C][/ROW]
[ROW][C]Trimmed Mean ( 3 / 58 )[/C][C]3183.47337278106[/C][C]47.1429993567983[/C][C]67.5280193499608[/C][/ROW]
[ROW][C]Trimmed Mean ( 4 / 58 )[/C][C]3179.43113772455[/C][C]46.1504914942871[/C][C]68.8926820664115[/C][/ROW]
[ROW][C]Trimmed Mean ( 5 / 58 )[/C][C]3175.2[/C][C]45.1382128105224[/C][C]70.3439459007515[/C][/ROW]
[ROW][C]Trimmed Mean ( 6 / 58 )[/C][C]3171.82822085890[/C][C]44.3274128848914[/C][C]71.5545531406365[/C][/ROW]
[ROW][C]Trimmed Mean ( 7 / 58 )[/C][C]3169.52173913043[/C][C]43.6970336761307[/C][C]72.5340251382275[/C][/ROW]
[ROW][C]Trimmed Mean ( 8 / 58 )[/C][C]3167.31446540881[/C][C]43.0784643540667[/C][C]73.5243122729793[/C][/ROW]
[ROW][C]Trimmed Mean ( 9 / 58 )[/C][C]3165.00636942675[/C][C]42.4442785393938[/C][C]74.5685043624716[/C][/ROW]
[ROW][C]Trimmed Mean ( 10 / 58 )[/C][C]3163.2[/C][C]41.8795071732282[/C][C]75.5309747776138[/C][/ROW]
[ROW][C]Trimmed Mean ( 11 / 58 )[/C][C]3161.58823529412[/C][C]41.3417158863736[/C][C]76.4745286331038[/C][/ROW]
[ROW][C]Trimmed Mean ( 12 / 58 )[/C][C]3160.54966887417[/C][C]40.8828182618073[/C][C]77.3075292567771[/C][/ROW]
[ROW][C]Trimmed Mean ( 13 / 58 )[/C][C]3159.27516778523[/C][C]40.4158961726369[/C][C]78.1691232155378[/C][/ROW]
[ROW][C]Trimmed Mean ( 14 / 58 )[/C][C]3157.99319727891[/C][C]40.0053247511216[/C][C]78.9393216259386[/C][/ROW]
[ROW][C]Trimmed Mean ( 15 / 58 )[/C][C]3156.79310344828[/C][C]39.5990838555444[/C][C]79.7188418541223[/C][/ROW]
[ROW][C]Trimmed Mean ( 16 / 58 )[/C][C]3155.43356643357[/C][C]39.2144705815128[/C][C]80.4660504054122[/C][/ROW]
[ROW][C]Trimmed Mean ( 17 / 58 )[/C][C]3154.04964539007[/C][C]38.8222814450660[/C][C]81.2432842169024[/C][/ROW]
[ROW][C]Trimmed Mean ( 18 / 58 )[/C][C]3152.58992805755[/C][C]38.4199460502508[/C][C]82.0560737887077[/C][/ROW]
[ROW][C]Trimmed Mean ( 19 / 58 )[/C][C]3151.21897810219[/C][C]38.0087822828855[/C][C]82.9076542007797[/C][/ROW]
[ROW][C]Trimmed Mean ( 20 / 58 )[/C][C]3150.2[/C][C]37.6362397836515[/C][C]83.7012416253227[/C][/ROW]
[ROW][C]Trimmed Mean ( 21 / 58 )[/C][C]3149.19548872180[/C][C]37.2504646022497[/C][C]84.541106328419[/C][/ROW]
[ROW][C]Trimmed Mean ( 22 / 58 )[/C][C]3148.15267175573[/C][C]36.8484198441754[/C][C]85.4352149988693[/C][/ROW]
[ROW][C]Trimmed Mean ( 23 / 58 )[/C][C]3147.21705426357[/C][C]36.4778789709599[/C][C]86.2774136832098[/C][/ROW]
[ROW][C]Trimmed Mean ( 24 / 58 )[/C][C]3146.57480314961[/C][C]36.1265784949448[/C][C]87.0986108908682[/C][/ROW]
[ROW][C]Trimmed Mean ( 25 / 58 )[/C][C]3145.888[/C][C]35.7873003533466[/C][C]87.9051498419554[/C][/ROW]
[ROW][C]Trimmed Mean ( 26 / 58 )[/C][C]3145.06504065041[/C][C]35.4350519704486[/C][C]88.7557620424337[/C][/ROW]
[ROW][C]Trimmed Mean ( 27 / 58 )[/C][C]3144.19834710744[/C][C]35.0532134236948[/C][C]89.6978633343232[/C][/ROW]
[ROW][C]Trimmed Mean ( 28 / 58 )[/C][C]3143.36974789916[/C][C]34.6598665240392[/C][C]90.6919172847651[/C][/ROW]
[ROW][C]Trimmed Mean ( 29 / 58 )[/C][C]3143.36974789916[/C][C]34.2833875091064[/C][C]91.6878399797632[/C][/ROW]
[ROW][C]Trimmed Mean ( 30 / 58 )[/C][C]3141.54782608696[/C][C]33.8693731616684[/C][C]92.7548263468424[/C][/ROW]
[ROW][C]Trimmed Mean ( 31 / 58 )[/C][C]3141.54782608696[/C][C]33.4986163774981[/C][C]93.7814204230004[/C][/ROW]
[ROW][C]Trimmed Mean ( 32 / 58 )[/C][C]3140.37837837838[/C][C]33.1072885622881[/C][C]94.8545928933464[/C][/ROW]
[ROW][C]Trimmed Mean ( 33 / 58 )[/C][C]3139.88073394495[/C][C]32.7408862817977[/C][C]95.9009083297349[/C][/ROW]
[ROW][C]Trimmed Mean ( 34 / 58 )[/C][C]3139.26168224299[/C][C]32.3575274311566[/C][C]97.0179717508404[/C][/ROW]
[ROW][C]Trimmed Mean ( 35 / 58 )[/C][C]3138.56190476190[/C][C]31.9368078086306[/C][C]98.2741269436998[/C][/ROW]
[ROW][C]Trimmed Mean ( 36 / 58 )[/C][C]3137.92233009709[/C][C]31.5491502947006[/C][C]99.4613896344515[/C][/ROW]
[ROW][C]Trimmed Mean ( 37 / 58 )[/C][C]3137.0099009901[/C][C]31.1831335949722[/C][C]100.599572247476[/C][/ROW]
[ROW][C]Trimmed Mean ( 38 / 58 )[/C][C]3136.09090909091[/C][C]30.8007778821000[/C][C]101.818561891369[/C][/ROW]
[ROW][C]Trimmed Mean ( 39 / 58 )[/C][C]3135.39175257732[/C][C]30.4302888929653[/C][C]103.035227946920[/C][/ROW]
[ROW][C]Trimmed Mean ( 40 / 58 )[/C][C]3134.38947368421[/C][C]30.1326975444822[/C][C]104.019544518283[/C][/ROW]
[ROW][C]Trimmed Mean ( 41 / 58 )[/C][C]3133.2688172043[/C][C]29.8110542820358[/C][C]105.104260572643[/C][/ROW]
[ROW][C]Trimmed Mean ( 42 / 58 )[/C][C]3131.89010989011[/C][C]29.4794539512248[/C][C]106.239759904372[/C][/ROW]
[ROW][C]Trimmed Mean ( 43 / 58 )[/C][C]3130.89887640449[/C][C]29.1945765605095[/C][C]107.242482860312[/C][/ROW]
[ROW][C]Trimmed Mean ( 44 / 58 )[/C][C]3129.70114942529[/C][C]28.9029435005248[/C][C]108.283128649802[/C][/ROW]
[ROW][C]Trimmed Mean ( 45 / 58 )[/C][C]3129.70114942529[/C][C]28.5967844648102[/C][C]109.442414872782[/C][/ROW]
[ROW][C]Trimmed Mean ( 46 / 58 )[/C][C]3127.24096385542[/C][C]28.2789648013935[/C][C]110.585411659105[/C][/ROW]
[ROW][C]Trimmed Mean ( 47 / 58 )[/C][C]3125.74074074074[/C][C]27.9588309431777[/C][C]111.797977071837[/C][/ROW]
[ROW][C]Trimmed Mean ( 48 / 58 )[/C][C]3124.32911392405[/C][C]27.6236221200706[/C][C]113.103527855386[/C][/ROW]
[ROW][C]Trimmed Mean ( 49 / 58 )[/C][C]3122.98701298701[/C][C]27.3118587053695[/C][C]114.345458750233[/C][/ROW]
[ROW][C]Trimmed Mean ( 50 / 58 )[/C][C]3121.4[/C][C]27.0077399650178[/C][C]115.574276264621[/C][/ROW]
[ROW][C]Trimmed Mean ( 51 / 58 )[/C][C]3119.69863013699[/C][C]26.6642599151608[/C][C]116.999258185418[/C][/ROW]
[ROW][C]Trimmed Mean ( 52 / 58 )[/C][C]3117.98591549296[/C][C]26.2962191968234[/C][C]118.571643024242[/C][/ROW]
[ROW][C]Trimmed Mean ( 53 / 58 )[/C][C]3116.56521739130[/C][C]25.9614318034978[/C][C]120.045968226275[/C][/ROW]
[ROW][C]Trimmed Mean ( 54 / 58 )[/C][C]3115.25373134328[/C][C]25.6274878509785[/C][C]121.559075530860[/C][/ROW]
[ROW][C]Trimmed Mean ( 55 / 58 )[/C][C]3113.64615384615[/C][C]25.2729753694271[/C][C]123.200616798478[/C][/ROW]
[ROW][C]Trimmed Mean ( 56 / 58 )[/C][C]3112.01587301587[/C][C]24.8721718378623[/C][C]125.120391307305[/C][/ROW]
[ROW][C]Trimmed Mean ( 57 / 58 )[/C][C]3110.47540983607[/C][C]24.4390465877617[/C][C]127.274826318049[/C][/ROW]
[ROW][C]Trimmed Mean ( 58 / 58 )[/C][C]3110.47540983607[/C][C]23.9858190974647[/C][C]129.679766081653[/C][/ROW]
[ROW][C]Median[/C][C]3076[/C][C][/C][C][/C][/ROW]
[ROW][C]Midrange[/C][C]3770.5[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - Weighted Average at Xnp[/C][C]3125.10227272727[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - Weighted Average at X(n+1)p[/C][C]3130.89887640449[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - Empirical Distribution Function[/C][C]3130.89887640449[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - Empirical Distribution Function - Averaging[/C][C]3130.89887640449[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - Empirical Distribution Function - Interpolation[/C][C]3129.70114942529[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - Closest Observation[/C][C]3125.10227272727[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - True Basic - Statistics Graphics Toolkit[/C][C]3130.89887640449[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - MS Excel (old versions)[/C][C]3130.89887640449[/C][C][/C][C][/C][/ROW]
[ROW][C]Number of observations[/C][C]175[/C][C][/C][C][/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=74400&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=74400&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 Mean3200.7714285714351.629685220474561.9947887519197
Geometric Mean3131.98832681867
Harmonic Mean3066.44898621515
Quadratic Mean3272.42362521376
Winsorized Mean ( 1 / 58 )3200.4451.282069743485462.4085575330463
Winsorized Mean ( 2 / 58 )3196.1085714285750.278782389064163.5677400995244
Winsorized Mean ( 3 / 58 )3195.0457142857149.707319286166964.2771680341826
Winsorized Mean ( 4 / 58 )3195.3885714285749.506638382268964.544648472295
Winsorized Mean ( 5 / 58 )3190.9028571428648.396616523491565.9323540850012
Winsorized Mean ( 6 / 58 )3184.5647.271890480037467.3668847947771
Winsorized Mean ( 7 / 58 )3183.5646.947477595129267.8110979136033
Winsorized Mean ( 8 / 58 )3183.8846.748315558460168.1068389730206
Winsorized Mean ( 9 / 58 )3179.4057142857145.987716713077769.1359767679349
Winsorized Mean ( 10 / 58 )3177.2914285714345.487320139817369.8500465361596
Winsorized Mean ( 11 / 58 )3171.4457142857144.582759424553171.1361466903527
Winsorized Mean ( 12 / 58 )3173.5714285714344.339307049838671.5746735735912
Winsorized Mean ( 13 / 58 )3173.2742857142943.539691358826472.8823330317659
Winsorized Mean ( 14 / 58 )3171.9142857142943.191628497037873.4381729999326
Winsorized Mean ( 15 / 58 )3173.4571428571442.663111290407774.384100148145
Winsorized Mean ( 16 / 58 )3173.2742857142942.406452569352874.8299867932743
Winsorized Mean ( 17 / 58 )3173.7642.154469994987475.288812796778
Winsorized Mean ( 18 / 58 )3171.9085714285741.875908062950175.7454278164044
Winsorized Mean ( 19 / 58 )3166.1542857142941.100868685575177.0337559027186
Winsorized Mean ( 20 / 58 )3165.4685714285740.866032714116377.4596495229429
Winsorized Mean ( 21 / 58 )3165.5885714285740.640282853129477.8928774405618
Winsorized Mean ( 22 / 58 )3163.3257142857139.878405675518379.3242774052953
Winsorized Mean ( 23 / 58 )3157.9371428571439.264950008016980.4263635179052
Winsorized Mean ( 24 / 58 )3158.3485714285738.723290911536381.561987555341
Winsorized Mean ( 25 / 58 )3160.3485714285738.460277734995282.1717563561158
Winsorized Mean ( 26 / 58 )3160.6457142857138.367610020209982.37796705661
Winsorized Mean ( 27 / 58 )3159.4114285714338.035837554785383.06406882774
Winsorized Mean ( 28 / 58 )3160.2114285714337.354742502481584.6000056983795
Winsorized Mean ( 29 / 58 )3160.0457142857137.302226206269584.7146681490713
Winsorized Mean ( 30 / 58 )3153.0171428571436.299255624629386.8617575925661
Winsorized Mean ( 31 / 58 )3152.3085714285736.043685106145387.4579988740139
Winsorized Mean ( 32 / 58 )3150.2971428571435.241018862429689.3929075988116
Winsorized Mean ( 33 / 58 )3152.3714285714334.925403431202990.260129271837
Winsorized Mean ( 34 / 58 )3153.5371428571434.812822274250790.5855066278166
Winsorized Mean ( 35 / 58 )3151.7371428571433.871661534762393.0493811064606
Winsorized Mean ( 36 / 58 )3156.8833.063543578347895.4791791303135
Winsorized Mean ( 37 / 58 )3156.2457142857132.710253301934396.4910202666962
Winsorized Mean ( 38 / 58 )3150.8171428571432.036181386851998.3518324112835
Winsorized Mean ( 39 / 58 )3156.6114285714330.6539976564226102.975522603984
Winsorized Mean ( 40 / 58 )3158.2114285714330.4245855866103.804583289457
Winsorized Mean ( 41 / 58 )3162.6628571428629.9880190134951105.464214082284
Winsorized Mean ( 42 / 58 )3153.0628571428628.9954564747031108.743342595545
Winsorized Mean ( 43 / 58 )3156.5028571428628.5580247902449110.529452941055
Winsorized Mean ( 44 / 58 )3155.7485714285728.2071384233539111.877657494522
Winsorized Mean ( 45 / 58 )3154.9771428571427.8027900860775113.476997563530
Winsorized Mean ( 46 / 58 )3159.1828571428627.2521764537029115.924057020173
Winsorized Mean ( 47 / 58 )3155.6914285714326.8672167250933117.455092608238
Winsorized Mean ( 48 / 58 )3152.6742857142926.0856316478223120.858652313964
Winsorized Mean ( 49 / 58 )3156.3142857142925.4306034132130124.114801148381
Winsorized Mean ( 50 / 58 )3156.8857142857125.2309982895879125.119334481049
Winsorized Mean ( 51 / 58 )3155.1371428571424.8591808763827126.920398485642
Winsorized Mean ( 52 / 58 )3147.1142857142924.0044698316319131.105344454106
Winsorized Mean ( 53 / 58 )3143.1771428571423.4292012571035134.156393483716
Winsorized Mean ( 54 / 58 )3147.4971428571422.9647918914967137.057507759197
Winsorized Mean ( 55 / 58 )3145.9257142857122.7113160413751138.517984098963
Winsorized Mean ( 56 / 58 )3142.0857142857122.3053210454092140.867092111745
Winsorized Mean ( 57 / 58 )3136.8742857142921.777469288548144.042186176511
Winsorized Mean ( 58 / 58 )3138.221.6682010319406144.829743612497
Trimmed Mean ( 1 / 58 )3194.1849710982749.839179491354564.089838630918
Trimmed Mean ( 2 / 58 )3187.7836257309948.26955936194166.0412829093373
Trimmed Mean ( 3 / 58 )3183.4733727810647.142999356798367.5280193499608
Trimmed Mean ( 4 / 58 )3179.4311377245546.150491494287168.8926820664115
Trimmed Mean ( 5 / 58 )3175.245.138212810522470.3439459007515
Trimmed Mean ( 6 / 58 )3171.8282208589044.327412884891471.5545531406365
Trimmed Mean ( 7 / 58 )3169.5217391304343.697033676130772.5340251382275
Trimmed Mean ( 8 / 58 )3167.3144654088143.078464354066773.5243122729793
Trimmed Mean ( 9 / 58 )3165.0063694267542.444278539393874.5685043624716
Trimmed Mean ( 10 / 58 )3163.241.879507173228275.5309747776138
Trimmed Mean ( 11 / 58 )3161.5882352941241.341715886373676.4745286331038
Trimmed Mean ( 12 / 58 )3160.5496688741740.882818261807377.3075292567771
Trimmed Mean ( 13 / 58 )3159.2751677852340.415896172636978.1691232155378
Trimmed Mean ( 14 / 58 )3157.9931972789140.005324751121678.9393216259386
Trimmed Mean ( 15 / 58 )3156.7931034482839.599083855544479.7188418541223
Trimmed Mean ( 16 / 58 )3155.4335664335739.214470581512880.4660504054122
Trimmed Mean ( 17 / 58 )3154.0496453900738.822281445066081.2432842169024
Trimmed Mean ( 18 / 58 )3152.5899280575538.419946050250882.0560737887077
Trimmed Mean ( 19 / 58 )3151.2189781021938.008782282885582.9076542007797
Trimmed Mean ( 20 / 58 )3150.237.636239783651583.7012416253227
Trimmed Mean ( 21 / 58 )3149.1954887218037.250464602249784.541106328419
Trimmed Mean ( 22 / 58 )3148.1526717557336.848419844175485.4352149988693
Trimmed Mean ( 23 / 58 )3147.2170542635736.477878970959986.2774136832098
Trimmed Mean ( 24 / 58 )3146.5748031496136.126578494944887.0986108908682
Trimmed Mean ( 25 / 58 )3145.88835.787300353346687.9051498419554
Trimmed Mean ( 26 / 58 )3145.0650406504135.435051970448688.7557620424337
Trimmed Mean ( 27 / 58 )3144.1983471074435.053213423694889.6978633343232
Trimmed Mean ( 28 / 58 )3143.3697478991634.659866524039290.6919172847651
Trimmed Mean ( 29 / 58 )3143.3697478991634.283387509106491.6878399797632
Trimmed Mean ( 30 / 58 )3141.5478260869633.869373161668492.7548263468424
Trimmed Mean ( 31 / 58 )3141.5478260869633.498616377498193.7814204230004
Trimmed Mean ( 32 / 58 )3140.3783783783833.107288562288194.8545928933464
Trimmed Mean ( 33 / 58 )3139.8807339449532.740886281797795.9009083297349
Trimmed Mean ( 34 / 58 )3139.2616822429932.357527431156697.0179717508404
Trimmed Mean ( 35 / 58 )3138.5619047619031.936807808630698.2741269436998
Trimmed Mean ( 36 / 58 )3137.9223300970931.549150294700699.4613896344515
Trimmed Mean ( 37 / 58 )3137.009900990131.1831335949722100.599572247476
Trimmed Mean ( 38 / 58 )3136.0909090909130.8007778821000101.818561891369
Trimmed Mean ( 39 / 58 )3135.3917525773230.4302888929653103.035227946920
Trimmed Mean ( 40 / 58 )3134.3894736842130.1326975444822104.019544518283
Trimmed Mean ( 41 / 58 )3133.268817204329.8110542820358105.104260572643
Trimmed Mean ( 42 / 58 )3131.8901098901129.4794539512248106.239759904372
Trimmed Mean ( 43 / 58 )3130.8988764044929.1945765605095107.242482860312
Trimmed Mean ( 44 / 58 )3129.7011494252928.9029435005248108.283128649802
Trimmed Mean ( 45 / 58 )3129.7011494252928.5967844648102109.442414872782
Trimmed Mean ( 46 / 58 )3127.2409638554228.2789648013935110.585411659105
Trimmed Mean ( 47 / 58 )3125.7407407407427.9588309431777111.797977071837
Trimmed Mean ( 48 / 58 )3124.3291139240527.6236221200706113.103527855386
Trimmed Mean ( 49 / 58 )3122.9870129870127.3118587053695114.345458750233
Trimmed Mean ( 50 / 58 )3121.427.0077399650178115.574276264621
Trimmed Mean ( 51 / 58 )3119.6986301369926.6642599151608116.999258185418
Trimmed Mean ( 52 / 58 )3117.9859154929626.2962191968234118.571643024242
Trimmed Mean ( 53 / 58 )3116.5652173913025.9614318034978120.045968226275
Trimmed Mean ( 54 / 58 )3115.2537313432825.6274878509785121.559075530860
Trimmed Mean ( 55 / 58 )3113.6461538461525.2729753694271123.200616798478
Trimmed Mean ( 56 / 58 )3112.0158730158724.8721718378623125.120391307305
Trimmed Mean ( 57 / 58 )3110.4754098360724.4390465877617127.274826318049
Trimmed Mean ( 58 / 58 )3110.4754098360723.9858190974647129.679766081653
Median3076
Midrange3770.5
Midmean - Weighted Average at Xnp3125.10227272727
Midmean - Weighted Average at X(n+1)p3130.89887640449
Midmean - Empirical Distribution Function3130.89887640449
Midmean - Empirical Distribution Function - Averaging3130.89887640449
Midmean - Empirical Distribution Function - Interpolation3129.70114942529
Midmean - Closest Observation3125.10227272727
Midmean - True Basic - Statistics Graphics Toolkit3130.89887640449
Midmean - MS Excel (old versions)3130.89887640449
Number of observations175



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')