Free Statistics

of Irreproducible Research!

Author's title

Author*Unverified author*
R Software Modulerwasp_centraltendency.wasp
Title produced by softwareCentral Tendency
Date of computationFri, 23 Nov 2007 02:39:34 -0700
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2007/Nov/23/t1195810273jb1c0vczmbyrfr7.htm/, Retrieved Mon, 29 Apr 2024 02:56:13 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=6122, Retrieved Mon, 29 Apr 2024 02:56:13 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordscentral tendency - werkloosheid < 25j
Estimated Impact245
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Central Tendency] [investigating ass...] [2007-11-23 09:39:34] [ac6f409873aab27747ac7f3d36ded223] [Current]
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Dataseries X:
140
132
117
114
113
110
107
103
98
98
137
148
147
139
130
128
127
123
118
114
108
111
151
159
158
148
138
137
136
133
126
120
114
116
153
162
161
149
139
135
130
127
122
117
112
113
149
157
157
147
137
132
125
123
117
114
111
112
144
150
149
134
123
116
117
111
105
102
95
93
124
130
124




Summary of compuational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135

\begin{tabular}{lllllllll}
\hline
Summary of compuational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 1 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=6122&T=0

[TABLE]
[ROW][C]Summary of compuational 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]1 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=6122&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=6122&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 compuational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135







Central Tendency - Ungrouped Data
MeasureValueS.E.Value/S.E.
Arithmetic Mean127.6164383561642.0588405118024461.9846159158977
Geometric Mean126.419571737589
Harmonic Mean125.224971506054
Quadratic Mean128.806640686463
Winsorized Mean ( 1 / 24 )127.6301369863012.0494743404194462.274571810536
Winsorized Mean ( 2 / 24 )127.6575342465752.0198990264109363.1999583035616
Winsorized Mean ( 3 / 24 )127.6164383561642.0111589509778463.4541781464445
Winsorized Mean ( 4 / 24 )127.7808219178081.9572336439578565.2864425830196
Winsorized Mean ( 5 / 24 )127.8493150684931.944890589128965.735993470849
Winsorized Mean ( 6 / 24 )127.6849315068491.8507759605466268.9899448818958
Winsorized Mean ( 7 / 24 )127.6849315068491.7833447181312871.5985699279984
Winsorized Mean ( 8 / 24 )127.6849315068491.7462589620035673.1191273946852
Winsorized Mean ( 9 / 24 )127.8082191780821.6871636351441775.7533036605314
Winsorized Mean ( 10 / 24 )127.9452054794521.6674530577368776.7309189819735
Winsorized Mean ( 11 / 24 )127.9452054794521.6674530577368776.7309189819735
Winsorized Mean ( 12 / 24 )127.7808219178081.6389529845589177.9649099892869
Winsorized Mean ( 13 / 24 )127.9589041095891.6140599844007379.2776633745108
Winsorized Mean ( 14 / 24 )127.7671232876711.5813217873375880.7976746483639
Winsorized Mean ( 15 / 24 )127.9726027397261.5533354648920982.3856827015897
Winsorized Mean ( 16 / 24 )127.3150684931511.4445452840775488.1350483757602
Winsorized Mean ( 17 / 24 )126.6164383561641.2690901678984899.7694581196167
Winsorized Mean ( 18 / 24 )126.3698630136991.23349172889374102.448893700352
Winsorized Mean ( 19 / 24 )126.3698630136991.23349172889374102.448893700352
Winsorized Mean ( 20 / 24 )126.0958904109591.19505010045745105.515149835719
Winsorized Mean ( 21 / 24 )126.3835616438361.07635266513166117.418357140757
Winsorized Mean ( 22 / 24 )126.3835616438361.07635266513166117.418357140757
Winsorized Mean ( 23 / 24 )126.6986301369861.03472526142509122.446638600945
Winsorized Mean ( 24 / 24 )126.3698630136990.989770134844801127.675970980387
Trimmed Mean ( 1 / 24 )127.6197183098592.0009420514932163.7798172189058
Trimmed Mean ( 2 / 24 )127.6086956521741.9433820406405465.6632061959952
Trimmed Mean ( 3 / 24 )127.5820895522391.8937337758058667.3706574716118
Trimmed Mean ( 4 / 24 )127.5692307692311.8382905456367769.395575727689
Trimmed Mean ( 5 / 24 )127.5079365079371.7916105647449171.1694488841613
Trimmed Mean ( 6 / 24 )127.4262295081971.7388927788652973.2800958500433
Trimmed Mean ( 7 / 24 )127.3728813559321.7017367113185274.848759216837
Trimmed Mean ( 8 / 24 )127.3157894736841.6731998321798176.0912038269929
Trimmed Mean ( 9 / 24 )127.2545454545451.6461808022047977.302897278421
Trimmed Mean ( 10 / 24 )127.1698113207551.6249898624349678.2588336460126
Trimmed Mean ( 11 / 24 )127.0588235294121.6013258635699279.3460134629643
Trimmed Mean ( 12 / 24 )126.9387755102041.5701856998547480.8431611126934
Trimmed Mean ( 13 / 24 )126.8297872340431.5359759615396182.5727683309004
Trimmed Mean ( 14 / 24 )126.6888888888891.4960629214277584.6815244695624
Trimmed Mean ( 15 / 24 )126.5581395348841.4510477848627387.2184505948963
Trimmed Mean ( 16 / 24 )126.3902439024391.3968073565083090.4850932474937
Trimmed Mean ( 17 / 24 )126.2820512820511.3522354750404293.3876189561413
Trimmed Mean ( 18 / 24 )126.2432432432431.3341244305177194.626288489638
Trimmed Mean ( 19 / 24 )126.2285714285711.3151257819421495.9821282205878
Trimmed Mean ( 20 / 24 )126.2121212121211.2856710131625198.1682871589855
Trimmed Mean ( 21 / 24 )126.2258064516131.25184567173757100.831763292684
Trimmed Mean ( 22 / 24 )126.2068965517241.23414008508670102.263023522859
Trimmed Mean ( 23 / 24 )126.1851851851851.20307895248711104.885207179732
Trimmed Mean ( 24 / 24 )126.121.16521814838825108.237243107183
Median126
Midrange127.5
Midmean - Weighted Average at Xnp125.921052631579
Midmean - Weighted Average at X(n+1)p125.921052631579
Midmean - Empirical Distribution Function125.921052631579
Midmean - Empirical Distribution Function - Averaging125.921052631579
Midmean - Empirical Distribution Function - Interpolation125.921052631579
Midmean - Closest Observation125.921052631579
Midmean - True Basic - Statistics Graphics Toolkit125.921052631579
Midmean - MS Excel (old versions)125.921052631579
Number of observations73

\begin{tabular}{lllllllll}
\hline
Central Tendency - Ungrouped Data \tabularnewline
Measure & Value & S.E. & Value/S.E. \tabularnewline
Arithmetic Mean & 127.616438356164 & 2.05884051180244 & 61.9846159158977 \tabularnewline
Geometric Mean & 126.419571737589 &  &  \tabularnewline
Harmonic Mean & 125.224971506054 &  &  \tabularnewline
Quadratic Mean & 128.806640686463 &  &  \tabularnewline
Winsorized Mean ( 1 / 24 ) & 127.630136986301 & 2.04947434041944 & 62.274571810536 \tabularnewline
Winsorized Mean ( 2 / 24 ) & 127.657534246575 & 2.01989902641093 & 63.1999583035616 \tabularnewline
Winsorized Mean ( 3 / 24 ) & 127.616438356164 & 2.01115895097784 & 63.4541781464445 \tabularnewline
Winsorized Mean ( 4 / 24 ) & 127.780821917808 & 1.95723364395785 & 65.2864425830196 \tabularnewline
Winsorized Mean ( 5 / 24 ) & 127.849315068493 & 1.9448905891289 & 65.735993470849 \tabularnewline
Winsorized Mean ( 6 / 24 ) & 127.684931506849 & 1.85077596054662 & 68.9899448818958 \tabularnewline
Winsorized Mean ( 7 / 24 ) & 127.684931506849 & 1.78334471813128 & 71.5985699279984 \tabularnewline
Winsorized Mean ( 8 / 24 ) & 127.684931506849 & 1.74625896200356 & 73.1191273946852 \tabularnewline
Winsorized Mean ( 9 / 24 ) & 127.808219178082 & 1.68716363514417 & 75.7533036605314 \tabularnewline
Winsorized Mean ( 10 / 24 ) & 127.945205479452 & 1.66745305773687 & 76.7309189819735 \tabularnewline
Winsorized Mean ( 11 / 24 ) & 127.945205479452 & 1.66745305773687 & 76.7309189819735 \tabularnewline
Winsorized Mean ( 12 / 24 ) & 127.780821917808 & 1.63895298455891 & 77.9649099892869 \tabularnewline
Winsorized Mean ( 13 / 24 ) & 127.958904109589 & 1.61405998440073 & 79.2776633745108 \tabularnewline
Winsorized Mean ( 14 / 24 ) & 127.767123287671 & 1.58132178733758 & 80.7976746483639 \tabularnewline
Winsorized Mean ( 15 / 24 ) & 127.972602739726 & 1.55333546489209 & 82.3856827015897 \tabularnewline
Winsorized Mean ( 16 / 24 ) & 127.315068493151 & 1.44454528407754 & 88.1350483757602 \tabularnewline
Winsorized Mean ( 17 / 24 ) & 126.616438356164 & 1.26909016789848 & 99.7694581196167 \tabularnewline
Winsorized Mean ( 18 / 24 ) & 126.369863013699 & 1.23349172889374 & 102.448893700352 \tabularnewline
Winsorized Mean ( 19 / 24 ) & 126.369863013699 & 1.23349172889374 & 102.448893700352 \tabularnewline
Winsorized Mean ( 20 / 24 ) & 126.095890410959 & 1.19505010045745 & 105.515149835719 \tabularnewline
Winsorized Mean ( 21 / 24 ) & 126.383561643836 & 1.07635266513166 & 117.418357140757 \tabularnewline
Winsorized Mean ( 22 / 24 ) & 126.383561643836 & 1.07635266513166 & 117.418357140757 \tabularnewline
Winsorized Mean ( 23 / 24 ) & 126.698630136986 & 1.03472526142509 & 122.446638600945 \tabularnewline
Winsorized Mean ( 24 / 24 ) & 126.369863013699 & 0.989770134844801 & 127.675970980387 \tabularnewline
Trimmed Mean ( 1 / 24 ) & 127.619718309859 & 2.00094205149321 & 63.7798172189058 \tabularnewline
Trimmed Mean ( 2 / 24 ) & 127.608695652174 & 1.94338204064054 & 65.6632061959952 \tabularnewline
Trimmed Mean ( 3 / 24 ) & 127.582089552239 & 1.89373377580586 & 67.3706574716118 \tabularnewline
Trimmed Mean ( 4 / 24 ) & 127.569230769231 & 1.83829054563677 & 69.395575727689 \tabularnewline
Trimmed Mean ( 5 / 24 ) & 127.507936507937 & 1.79161056474491 & 71.1694488841613 \tabularnewline
Trimmed Mean ( 6 / 24 ) & 127.426229508197 & 1.73889277886529 & 73.2800958500433 \tabularnewline
Trimmed Mean ( 7 / 24 ) & 127.372881355932 & 1.70173671131852 & 74.848759216837 \tabularnewline
Trimmed Mean ( 8 / 24 ) & 127.315789473684 & 1.67319983217981 & 76.0912038269929 \tabularnewline
Trimmed Mean ( 9 / 24 ) & 127.254545454545 & 1.64618080220479 & 77.302897278421 \tabularnewline
Trimmed Mean ( 10 / 24 ) & 127.169811320755 & 1.62498986243496 & 78.2588336460126 \tabularnewline
Trimmed Mean ( 11 / 24 ) & 127.058823529412 & 1.60132586356992 & 79.3460134629643 \tabularnewline
Trimmed Mean ( 12 / 24 ) & 126.938775510204 & 1.57018569985474 & 80.8431611126934 \tabularnewline
Trimmed Mean ( 13 / 24 ) & 126.829787234043 & 1.53597596153961 & 82.5727683309004 \tabularnewline
Trimmed Mean ( 14 / 24 ) & 126.688888888889 & 1.49606292142775 & 84.6815244695624 \tabularnewline
Trimmed Mean ( 15 / 24 ) & 126.558139534884 & 1.45104778486273 & 87.2184505948963 \tabularnewline
Trimmed Mean ( 16 / 24 ) & 126.390243902439 & 1.39680735650830 & 90.4850932474937 \tabularnewline
Trimmed Mean ( 17 / 24 ) & 126.282051282051 & 1.35223547504042 & 93.3876189561413 \tabularnewline
Trimmed Mean ( 18 / 24 ) & 126.243243243243 & 1.33412443051771 & 94.626288489638 \tabularnewline
Trimmed Mean ( 19 / 24 ) & 126.228571428571 & 1.31512578194214 & 95.9821282205878 \tabularnewline
Trimmed Mean ( 20 / 24 ) & 126.212121212121 & 1.28567101316251 & 98.1682871589855 \tabularnewline
Trimmed Mean ( 21 / 24 ) & 126.225806451613 & 1.25184567173757 & 100.831763292684 \tabularnewline
Trimmed Mean ( 22 / 24 ) & 126.206896551724 & 1.23414008508670 & 102.263023522859 \tabularnewline
Trimmed Mean ( 23 / 24 ) & 126.185185185185 & 1.20307895248711 & 104.885207179732 \tabularnewline
Trimmed Mean ( 24 / 24 ) & 126.12 & 1.16521814838825 & 108.237243107183 \tabularnewline
Median & 126 &  &  \tabularnewline
Midrange & 127.5 &  &  \tabularnewline
Midmean - Weighted Average at Xnp & 125.921052631579 &  &  \tabularnewline
Midmean - Weighted Average at X(n+1)p & 125.921052631579 &  &  \tabularnewline
Midmean - Empirical Distribution Function & 125.921052631579 &  &  \tabularnewline
Midmean - Empirical Distribution Function - Averaging & 125.921052631579 &  &  \tabularnewline
Midmean - Empirical Distribution Function - Interpolation & 125.921052631579 &  &  \tabularnewline
Midmean - Closest Observation & 125.921052631579 &  &  \tabularnewline
Midmean - True Basic - Statistics Graphics Toolkit & 125.921052631579 &  &  \tabularnewline
Midmean - MS Excel (old versions) & 125.921052631579 &  &  \tabularnewline
Number of observations & 73 &  &  \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=6122&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]127.616438356164[/C][C]2.05884051180244[/C][C]61.9846159158977[/C][/ROW]
[ROW][C]Geometric Mean[/C][C]126.419571737589[/C][C][/C][C][/C][/ROW]
[ROW][C]Harmonic Mean[/C][C]125.224971506054[/C][C][/C][C][/C][/ROW]
[ROW][C]Quadratic Mean[/C][C]128.806640686463[/C][C][/C][C][/C][/ROW]
[ROW][C]Winsorized Mean ( 1 / 24 )[/C][C]127.630136986301[/C][C]2.04947434041944[/C][C]62.274571810536[/C][/ROW]
[ROW][C]Winsorized Mean ( 2 / 24 )[/C][C]127.657534246575[/C][C]2.01989902641093[/C][C]63.1999583035616[/C][/ROW]
[ROW][C]Winsorized Mean ( 3 / 24 )[/C][C]127.616438356164[/C][C]2.01115895097784[/C][C]63.4541781464445[/C][/ROW]
[ROW][C]Winsorized Mean ( 4 / 24 )[/C][C]127.780821917808[/C][C]1.95723364395785[/C][C]65.2864425830196[/C][/ROW]
[ROW][C]Winsorized Mean ( 5 / 24 )[/C][C]127.849315068493[/C][C]1.9448905891289[/C][C]65.735993470849[/C][/ROW]
[ROW][C]Winsorized Mean ( 6 / 24 )[/C][C]127.684931506849[/C][C]1.85077596054662[/C][C]68.9899448818958[/C][/ROW]
[ROW][C]Winsorized Mean ( 7 / 24 )[/C][C]127.684931506849[/C][C]1.78334471813128[/C][C]71.5985699279984[/C][/ROW]
[ROW][C]Winsorized Mean ( 8 / 24 )[/C][C]127.684931506849[/C][C]1.74625896200356[/C][C]73.1191273946852[/C][/ROW]
[ROW][C]Winsorized Mean ( 9 / 24 )[/C][C]127.808219178082[/C][C]1.68716363514417[/C][C]75.7533036605314[/C][/ROW]
[ROW][C]Winsorized Mean ( 10 / 24 )[/C][C]127.945205479452[/C][C]1.66745305773687[/C][C]76.7309189819735[/C][/ROW]
[ROW][C]Winsorized Mean ( 11 / 24 )[/C][C]127.945205479452[/C][C]1.66745305773687[/C][C]76.7309189819735[/C][/ROW]
[ROW][C]Winsorized Mean ( 12 / 24 )[/C][C]127.780821917808[/C][C]1.63895298455891[/C][C]77.9649099892869[/C][/ROW]
[ROW][C]Winsorized Mean ( 13 / 24 )[/C][C]127.958904109589[/C][C]1.61405998440073[/C][C]79.2776633745108[/C][/ROW]
[ROW][C]Winsorized Mean ( 14 / 24 )[/C][C]127.767123287671[/C][C]1.58132178733758[/C][C]80.7976746483639[/C][/ROW]
[ROW][C]Winsorized Mean ( 15 / 24 )[/C][C]127.972602739726[/C][C]1.55333546489209[/C][C]82.3856827015897[/C][/ROW]
[ROW][C]Winsorized Mean ( 16 / 24 )[/C][C]127.315068493151[/C][C]1.44454528407754[/C][C]88.1350483757602[/C][/ROW]
[ROW][C]Winsorized Mean ( 17 / 24 )[/C][C]126.616438356164[/C][C]1.26909016789848[/C][C]99.7694581196167[/C][/ROW]
[ROW][C]Winsorized Mean ( 18 / 24 )[/C][C]126.369863013699[/C][C]1.23349172889374[/C][C]102.448893700352[/C][/ROW]
[ROW][C]Winsorized Mean ( 19 / 24 )[/C][C]126.369863013699[/C][C]1.23349172889374[/C][C]102.448893700352[/C][/ROW]
[ROW][C]Winsorized Mean ( 20 / 24 )[/C][C]126.095890410959[/C][C]1.19505010045745[/C][C]105.515149835719[/C][/ROW]
[ROW][C]Winsorized Mean ( 21 / 24 )[/C][C]126.383561643836[/C][C]1.07635266513166[/C][C]117.418357140757[/C][/ROW]
[ROW][C]Winsorized Mean ( 22 / 24 )[/C][C]126.383561643836[/C][C]1.07635266513166[/C][C]117.418357140757[/C][/ROW]
[ROW][C]Winsorized Mean ( 23 / 24 )[/C][C]126.698630136986[/C][C]1.03472526142509[/C][C]122.446638600945[/C][/ROW]
[ROW][C]Winsorized Mean ( 24 / 24 )[/C][C]126.369863013699[/C][C]0.989770134844801[/C][C]127.675970980387[/C][/ROW]
[ROW][C]Trimmed Mean ( 1 / 24 )[/C][C]127.619718309859[/C][C]2.00094205149321[/C][C]63.7798172189058[/C][/ROW]
[ROW][C]Trimmed Mean ( 2 / 24 )[/C][C]127.608695652174[/C][C]1.94338204064054[/C][C]65.6632061959952[/C][/ROW]
[ROW][C]Trimmed Mean ( 3 / 24 )[/C][C]127.582089552239[/C][C]1.89373377580586[/C][C]67.3706574716118[/C][/ROW]
[ROW][C]Trimmed Mean ( 4 / 24 )[/C][C]127.569230769231[/C][C]1.83829054563677[/C][C]69.395575727689[/C][/ROW]
[ROW][C]Trimmed Mean ( 5 / 24 )[/C][C]127.507936507937[/C][C]1.79161056474491[/C][C]71.1694488841613[/C][/ROW]
[ROW][C]Trimmed Mean ( 6 / 24 )[/C][C]127.426229508197[/C][C]1.73889277886529[/C][C]73.2800958500433[/C][/ROW]
[ROW][C]Trimmed Mean ( 7 / 24 )[/C][C]127.372881355932[/C][C]1.70173671131852[/C][C]74.848759216837[/C][/ROW]
[ROW][C]Trimmed Mean ( 8 / 24 )[/C][C]127.315789473684[/C][C]1.67319983217981[/C][C]76.0912038269929[/C][/ROW]
[ROW][C]Trimmed Mean ( 9 / 24 )[/C][C]127.254545454545[/C][C]1.64618080220479[/C][C]77.302897278421[/C][/ROW]
[ROW][C]Trimmed Mean ( 10 / 24 )[/C][C]127.169811320755[/C][C]1.62498986243496[/C][C]78.2588336460126[/C][/ROW]
[ROW][C]Trimmed Mean ( 11 / 24 )[/C][C]127.058823529412[/C][C]1.60132586356992[/C][C]79.3460134629643[/C][/ROW]
[ROW][C]Trimmed Mean ( 12 / 24 )[/C][C]126.938775510204[/C][C]1.57018569985474[/C][C]80.8431611126934[/C][/ROW]
[ROW][C]Trimmed Mean ( 13 / 24 )[/C][C]126.829787234043[/C][C]1.53597596153961[/C][C]82.5727683309004[/C][/ROW]
[ROW][C]Trimmed Mean ( 14 / 24 )[/C][C]126.688888888889[/C][C]1.49606292142775[/C][C]84.6815244695624[/C][/ROW]
[ROW][C]Trimmed Mean ( 15 / 24 )[/C][C]126.558139534884[/C][C]1.45104778486273[/C][C]87.2184505948963[/C][/ROW]
[ROW][C]Trimmed Mean ( 16 / 24 )[/C][C]126.390243902439[/C][C]1.39680735650830[/C][C]90.4850932474937[/C][/ROW]
[ROW][C]Trimmed Mean ( 17 / 24 )[/C][C]126.282051282051[/C][C]1.35223547504042[/C][C]93.3876189561413[/C][/ROW]
[ROW][C]Trimmed Mean ( 18 / 24 )[/C][C]126.243243243243[/C][C]1.33412443051771[/C][C]94.626288489638[/C][/ROW]
[ROW][C]Trimmed Mean ( 19 / 24 )[/C][C]126.228571428571[/C][C]1.31512578194214[/C][C]95.9821282205878[/C][/ROW]
[ROW][C]Trimmed Mean ( 20 / 24 )[/C][C]126.212121212121[/C][C]1.28567101316251[/C][C]98.1682871589855[/C][/ROW]
[ROW][C]Trimmed Mean ( 21 / 24 )[/C][C]126.225806451613[/C][C]1.25184567173757[/C][C]100.831763292684[/C][/ROW]
[ROW][C]Trimmed Mean ( 22 / 24 )[/C][C]126.206896551724[/C][C]1.23414008508670[/C][C]102.263023522859[/C][/ROW]
[ROW][C]Trimmed Mean ( 23 / 24 )[/C][C]126.185185185185[/C][C]1.20307895248711[/C][C]104.885207179732[/C][/ROW]
[ROW][C]Trimmed Mean ( 24 / 24 )[/C][C]126.12[/C][C]1.16521814838825[/C][C]108.237243107183[/C][/ROW]
[ROW][C]Median[/C][C]126[/C][C][/C][C][/C][/ROW]
[ROW][C]Midrange[/C][C]127.5[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - Weighted Average at Xnp[/C][C]125.921052631579[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - Weighted Average at X(n+1)p[/C][C]125.921052631579[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - Empirical Distribution Function[/C][C]125.921052631579[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - Empirical Distribution Function - Averaging[/C][C]125.921052631579[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - Empirical Distribution Function - Interpolation[/C][C]125.921052631579[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - Closest Observation[/C][C]125.921052631579[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - True Basic - Statistics Graphics Toolkit[/C][C]125.921052631579[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - MS Excel (old versions)[/C][C]125.921052631579[/C][C][/C][C][/C][/ROW]
[ROW][C]Number of observations[/C][C]73[/C][C][/C][C][/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=6122&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=6122&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 Mean127.6164383561642.0588405118024461.9846159158977
Geometric Mean126.419571737589
Harmonic Mean125.224971506054
Quadratic Mean128.806640686463
Winsorized Mean ( 1 / 24 )127.6301369863012.0494743404194462.274571810536
Winsorized Mean ( 2 / 24 )127.6575342465752.0198990264109363.1999583035616
Winsorized Mean ( 3 / 24 )127.6164383561642.0111589509778463.4541781464445
Winsorized Mean ( 4 / 24 )127.7808219178081.9572336439578565.2864425830196
Winsorized Mean ( 5 / 24 )127.8493150684931.944890589128965.735993470849
Winsorized Mean ( 6 / 24 )127.6849315068491.8507759605466268.9899448818958
Winsorized Mean ( 7 / 24 )127.6849315068491.7833447181312871.5985699279984
Winsorized Mean ( 8 / 24 )127.6849315068491.7462589620035673.1191273946852
Winsorized Mean ( 9 / 24 )127.8082191780821.6871636351441775.7533036605314
Winsorized Mean ( 10 / 24 )127.9452054794521.6674530577368776.7309189819735
Winsorized Mean ( 11 / 24 )127.9452054794521.6674530577368776.7309189819735
Winsorized Mean ( 12 / 24 )127.7808219178081.6389529845589177.9649099892869
Winsorized Mean ( 13 / 24 )127.9589041095891.6140599844007379.2776633745108
Winsorized Mean ( 14 / 24 )127.7671232876711.5813217873375880.7976746483639
Winsorized Mean ( 15 / 24 )127.9726027397261.5533354648920982.3856827015897
Winsorized Mean ( 16 / 24 )127.3150684931511.4445452840775488.1350483757602
Winsorized Mean ( 17 / 24 )126.6164383561641.2690901678984899.7694581196167
Winsorized Mean ( 18 / 24 )126.3698630136991.23349172889374102.448893700352
Winsorized Mean ( 19 / 24 )126.3698630136991.23349172889374102.448893700352
Winsorized Mean ( 20 / 24 )126.0958904109591.19505010045745105.515149835719
Winsorized Mean ( 21 / 24 )126.3835616438361.07635266513166117.418357140757
Winsorized Mean ( 22 / 24 )126.3835616438361.07635266513166117.418357140757
Winsorized Mean ( 23 / 24 )126.6986301369861.03472526142509122.446638600945
Winsorized Mean ( 24 / 24 )126.3698630136990.989770134844801127.675970980387
Trimmed Mean ( 1 / 24 )127.6197183098592.0009420514932163.7798172189058
Trimmed Mean ( 2 / 24 )127.6086956521741.9433820406405465.6632061959952
Trimmed Mean ( 3 / 24 )127.5820895522391.8937337758058667.3706574716118
Trimmed Mean ( 4 / 24 )127.5692307692311.8382905456367769.395575727689
Trimmed Mean ( 5 / 24 )127.5079365079371.7916105647449171.1694488841613
Trimmed Mean ( 6 / 24 )127.4262295081971.7388927788652973.2800958500433
Trimmed Mean ( 7 / 24 )127.3728813559321.7017367113185274.848759216837
Trimmed Mean ( 8 / 24 )127.3157894736841.6731998321798176.0912038269929
Trimmed Mean ( 9 / 24 )127.2545454545451.6461808022047977.302897278421
Trimmed Mean ( 10 / 24 )127.1698113207551.6249898624349678.2588336460126
Trimmed Mean ( 11 / 24 )127.0588235294121.6013258635699279.3460134629643
Trimmed Mean ( 12 / 24 )126.9387755102041.5701856998547480.8431611126934
Trimmed Mean ( 13 / 24 )126.8297872340431.5359759615396182.5727683309004
Trimmed Mean ( 14 / 24 )126.6888888888891.4960629214277584.6815244695624
Trimmed Mean ( 15 / 24 )126.5581395348841.4510477848627387.2184505948963
Trimmed Mean ( 16 / 24 )126.3902439024391.3968073565083090.4850932474937
Trimmed Mean ( 17 / 24 )126.2820512820511.3522354750404293.3876189561413
Trimmed Mean ( 18 / 24 )126.2432432432431.3341244305177194.626288489638
Trimmed Mean ( 19 / 24 )126.2285714285711.3151257819421495.9821282205878
Trimmed Mean ( 20 / 24 )126.2121212121211.2856710131625198.1682871589855
Trimmed Mean ( 21 / 24 )126.2258064516131.25184567173757100.831763292684
Trimmed Mean ( 22 / 24 )126.2068965517241.23414008508670102.263023522859
Trimmed Mean ( 23 / 24 )126.1851851851851.20307895248711104.885207179732
Trimmed Mean ( 24 / 24 )126.121.16521814838825108.237243107183
Median126
Midrange127.5
Midmean - Weighted Average at Xnp125.921052631579
Midmean - Weighted Average at X(n+1)p125.921052631579
Midmean - Empirical Distribution Function125.921052631579
Midmean - Empirical Distribution Function - Averaging125.921052631579
Midmean - Empirical Distribution Function - Interpolation125.921052631579
Midmean - Closest Observation125.921052631579
Midmean - True Basic - Statistics Graphics Toolkit125.921052631579
Midmean - MS Excel (old versions)125.921052631579
Number of observations73



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')