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of Irreproducible Research!

Author's title

Author*Unverified author*
R Software Modulerwasp_centraltendency.wasp
Title produced by softwareCentral Tendency
Date of computationSun, 12 Oct 2014 16:25:12 +0100
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2014/Oct/12/t1413127531y02wcwbrf8x345u.htm/, Retrieved Fri, 31 May 2024 09:54:12 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=240596, Retrieved Fri, 31 May 2024 09:54:12 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact91
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Central Tendency] [] [2014-10-12 14:35:13] [4df2cd86c9043e1a56e9383f8c504201]
-    D    [Central Tendency] [] [2014-10-12 15:25:12] [062c419fa600f620f2df94d64c8876ba] [Current]
- RM        [Mean versus Median] [] [2014-10-12 15:30:07] [4df2cd86c9043e1a56e9383f8c504201]
- RMPD      [Mean Plot] [] [2014-10-12 15:34:36] [4df2cd86c9043e1a56e9383f8c504201]
-    D        [Mean Plot] [] [2014-12-29 15:51:33] [4df2cd86c9043e1a56e9383f8c504201]
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Dataseries X:
53
47
49
44
48
51
47
44
33
47
41
36
46
24
17
22
30
24
18
24
24
28
19
22
26
14
16
21
15
23
29
17
24
18
22
8
26
22
34
25
20
35
38
24
14
25
31
17
32
27
30
19
36
27
28
38
26
25
30
27
30
50
48
34
41
26
39
33
38
28
36
20
39
22
32
32
31
28
44
40
32
35
32
31
41
23
36
36
42
36
64
30
25
51
38
27




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Gwilym Jenkins' @ jenkins.wessa.net

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 1 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ jenkins.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=240596&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]1 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Gwilym Jenkins' @ jenkins.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=240596&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=240596&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 time1 seconds
R Server'Gwilym Jenkins' @ jenkins.wessa.net







Central Tendency - Ungrouped Data
MeasureValueS.E.Value/S.E.
Arithmetic Mean31.218751.0727079936744129.1027476108055
Geometric Mean29.4182156337073
Harmonic Mean27.4910878732091
Quadratic Mean32.9230479046721
Winsorized Mean ( 1 / 32 )31.16666666666671.0287177620310330.2966156675796
Winsorized Mean ( 2 / 32 )31.1251.0197877746193930.5210562184046
Winsorized Mean ( 3 / 32 )31.156251.0144058978820530.7137902737456
Winsorized Mean ( 4 / 32 )31.156250.9991584315172131.1824922026526
Winsorized Mean ( 5 / 32 )31.156250.98088396905322831.7634409195949
Winsorized Mean ( 6 / 32 )31.093750.96916021309190732.0831887029305
Winsorized Mean ( 7 / 32 )31.093750.96916021309190732.0831887029305
Winsorized Mean ( 8 / 32 )31.093750.94161560081223333.021702245777
Winsorized Mean ( 9 / 32 )31.093750.94161560081223333.021702245777
Winsorized Mean ( 10 / 32 )31.19791666666670.92677281415118633.6629605339042
Winsorized Mean ( 11 / 32 )31.08333333333330.906563139084234.2870032910596
Winsorized Mean ( 12 / 32 )30.95833333333330.84732767055404836.5364361500084
Winsorized Mean ( 13 / 32 )30.95833333333330.84732767055404836.5364361500084
Winsorized Mean ( 14 / 32 )31.10416666666670.82802862039837237.5641202494935
Winsorized Mean ( 15 / 32 )30.94791666666670.75863014121175740.7944728075708
Winsorized Mean ( 16 / 32 )30.781250.73362281841078441.9578688496632
Winsorized Mean ( 17 / 32 )30.781250.73362281841078441.9578688496632
Winsorized Mean ( 18 / 32 )30.781250.73362281841078441.9578688496632
Winsorized Mean ( 19 / 32 )30.58333333333330.70519169141264543.3688225566989
Winsorized Mean ( 20 / 32 )30.58333333333330.65017991212329547.0382624302514
Winsorized Mean ( 21 / 32 )30.58333333333330.65017991212329547.0382624302514
Winsorized Mean ( 22 / 32 )30.58333333333330.59191679911624751.6682976036418
Winsorized Mean ( 23 / 32 )30.58333333333330.59191679911624751.6682976036418
Winsorized Mean ( 24 / 32 )30.58333333333330.59191679911624751.6682976036418
Winsorized Mean ( 25 / 32 )30.58333333333330.59191679911624751.6682976036418
Winsorized Mean ( 26 / 32 )30.04166666666670.5235499328275657.3807096190792
Winsorized Mean ( 27 / 32 )30.04166666666670.5235499328275657.3807096190792
Winsorized Mean ( 28 / 32 )30.33333333333330.48906163880405562.0235383979616
Winsorized Mean ( 29 / 32 )30.33333333333330.48906163880405562.0235383979616
Winsorized Mean ( 30 / 32 )30.33333333333330.48906163880405562.0235383979616
Winsorized Mean ( 31 / 32 )30.33333333333330.48906163880405562.0235383979616
Winsorized Mean ( 32 / 32 )30.33333333333330.41110320839567373.7852021435418
Trimmed Mean ( 1 / 32 )31.11702127659571.0078457245882230.8747862072933
Trimmed Mean ( 2 / 32 )31.06521739130430.98408311470253331.5676764768946
Trimmed Mean ( 3 / 32 )31.03333333333330.96239531590189732.2459313969653
Trimmed Mean ( 4 / 32 )30.98863636363640.93987125307501432.9711503168648
Trimmed Mean ( 5 / 32 )30.94186046511630.91922090534406233.6609625447267
Trimmed Mean ( 6 / 32 )30.89285714285710.90069423360573334.2989396292506
Trimmed Mean ( 7 / 32 )30.85365853658540.8822792796256234.9703991118068
Trimmed Mean ( 8 / 32 )30.81250.86091167272133635.790547365448
Trimmed Mean ( 9 / 32 )30.76923076923080.84198105296228536.5438517422423
Trimmed Mean ( 10 / 32 )30.72368421052630.81984138051008137.4751567082537
Trimmed Mean ( 11 / 32 )30.66216216216220.79666953618198938.487931029859
Trimmed Mean ( 12 / 32 )30.61111111111110.77332168609580239.5839295101817
Trimmed Mean ( 13 / 32 )30.57142857142860.75663289986898740.4045721204062
Trimmed Mean ( 14 / 32 )30.52941176470590.7367413325910741.4384403510198
Trimmed Mean ( 15 / 32 )30.4696969696970.71618638331806442.5443678900066
Trimmed Mean ( 16 / 32 )30.4218750.70352171348103143.2422687417455
Trimmed Mean ( 17 / 32 )30.38709677419350.69231439912758243.8920479084152
Trimmed Mean ( 18 / 32 )30.350.6784932625639244.7314684972878
Trimmed Mean ( 19 / 32 )30.31034482758620.66144669789112545.8243195169376
Trimmed Mean ( 20 / 32 )30.28571428571430.64552117558307846.9166859760382
Trimmed Mean ( 21 / 32 )30.25925925925930.63509365051404847.6453499964411
Trimmed Mean ( 22 / 32 )30.23076923076920.62176182835805848.6211405267549
Trimmed Mean ( 23 / 32 )30.20.61478385118142949.1229558843563
Trimmed Mean ( 24 / 32 )30.16666666666670.60533483300342249.8346783002592
Trimmed Mean ( 25 / 32 )30.13043478260870.5927164156849350.8344867550035
Trimmed Mean ( 26 / 32 )30.09090909090910.57596153799875652.2446502165117
Trimmed Mean ( 27 / 32 )30.09523809523810.56803093662123452.9816884169211
Trimmed Mean ( 28 / 32 )30.10.55677643628300254.0611959100593
Trimmed Mean ( 29 / 32 )30.07894736842110.54834754860812154.8538011061979
Trimmed Mean ( 30 / 32 )30.05555555555560.53592294584209656.081859880676
Trimmed Mean ( 31 / 32 )30.02941176470590.51792347991522857.9804023745381
Trimmed Mean ( 32 / 32 )300.49186937683796560.9918027279076
Median30
Midrange36
Midmean - Weighted Average at Xnp30.2307692307692
Midmean - Weighted Average at X(n+1)p30.2307692307692
Midmean - Empirical Distribution Function30.2307692307692
Midmean - Empirical Distribution Function - Averaging30.2307692307692
Midmean - Empirical Distribution Function - Interpolation30.2307692307692
Midmean - Closest Observation30.2307692307692
Midmean - True Basic - Statistics Graphics Toolkit30.2307692307692
Midmean - MS Excel (old versions)30.2307692307692
Number of observations96

\begin{tabular}{lllllllll}
\hline
Central Tendency - Ungrouped Data \tabularnewline
Measure & Value & S.E. & Value/S.E. \tabularnewline
Arithmetic Mean & 31.21875 & 1.07270799367441 & 29.1027476108055 \tabularnewline
Geometric Mean & 29.4182156337073 &  &  \tabularnewline
Harmonic Mean & 27.4910878732091 &  &  \tabularnewline
Quadratic Mean & 32.9230479046721 &  &  \tabularnewline
Winsorized Mean ( 1 / 32 ) & 31.1666666666667 & 1.02871776203103 & 30.2966156675796 \tabularnewline
Winsorized Mean ( 2 / 32 ) & 31.125 & 1.01978777461939 & 30.5210562184046 \tabularnewline
Winsorized Mean ( 3 / 32 ) & 31.15625 & 1.01440589788205 & 30.7137902737456 \tabularnewline
Winsorized Mean ( 4 / 32 ) & 31.15625 & 0.99915843151721 & 31.1824922026526 \tabularnewline
Winsorized Mean ( 5 / 32 ) & 31.15625 & 0.980883969053228 & 31.7634409195949 \tabularnewline
Winsorized Mean ( 6 / 32 ) & 31.09375 & 0.969160213091907 & 32.0831887029305 \tabularnewline
Winsorized Mean ( 7 / 32 ) & 31.09375 & 0.969160213091907 & 32.0831887029305 \tabularnewline
Winsorized Mean ( 8 / 32 ) & 31.09375 & 0.941615600812233 & 33.021702245777 \tabularnewline
Winsorized Mean ( 9 / 32 ) & 31.09375 & 0.941615600812233 & 33.021702245777 \tabularnewline
Winsorized Mean ( 10 / 32 ) & 31.1979166666667 & 0.926772814151186 & 33.6629605339042 \tabularnewline
Winsorized Mean ( 11 / 32 ) & 31.0833333333333 & 0.9065631390842 & 34.2870032910596 \tabularnewline
Winsorized Mean ( 12 / 32 ) & 30.9583333333333 & 0.847327670554048 & 36.5364361500084 \tabularnewline
Winsorized Mean ( 13 / 32 ) & 30.9583333333333 & 0.847327670554048 & 36.5364361500084 \tabularnewline
Winsorized Mean ( 14 / 32 ) & 31.1041666666667 & 0.828028620398372 & 37.5641202494935 \tabularnewline
Winsorized Mean ( 15 / 32 ) & 30.9479166666667 & 0.758630141211757 & 40.7944728075708 \tabularnewline
Winsorized Mean ( 16 / 32 ) & 30.78125 & 0.733622818410784 & 41.9578688496632 \tabularnewline
Winsorized Mean ( 17 / 32 ) & 30.78125 & 0.733622818410784 & 41.9578688496632 \tabularnewline
Winsorized Mean ( 18 / 32 ) & 30.78125 & 0.733622818410784 & 41.9578688496632 \tabularnewline
Winsorized Mean ( 19 / 32 ) & 30.5833333333333 & 0.705191691412645 & 43.3688225566989 \tabularnewline
Winsorized Mean ( 20 / 32 ) & 30.5833333333333 & 0.650179912123295 & 47.0382624302514 \tabularnewline
Winsorized Mean ( 21 / 32 ) & 30.5833333333333 & 0.650179912123295 & 47.0382624302514 \tabularnewline
Winsorized Mean ( 22 / 32 ) & 30.5833333333333 & 0.591916799116247 & 51.6682976036418 \tabularnewline
Winsorized Mean ( 23 / 32 ) & 30.5833333333333 & 0.591916799116247 & 51.6682976036418 \tabularnewline
Winsorized Mean ( 24 / 32 ) & 30.5833333333333 & 0.591916799116247 & 51.6682976036418 \tabularnewline
Winsorized Mean ( 25 / 32 ) & 30.5833333333333 & 0.591916799116247 & 51.6682976036418 \tabularnewline
Winsorized Mean ( 26 / 32 ) & 30.0416666666667 & 0.52354993282756 & 57.3807096190792 \tabularnewline
Winsorized Mean ( 27 / 32 ) & 30.0416666666667 & 0.52354993282756 & 57.3807096190792 \tabularnewline
Winsorized Mean ( 28 / 32 ) & 30.3333333333333 & 0.489061638804055 & 62.0235383979616 \tabularnewline
Winsorized Mean ( 29 / 32 ) & 30.3333333333333 & 0.489061638804055 & 62.0235383979616 \tabularnewline
Winsorized Mean ( 30 / 32 ) & 30.3333333333333 & 0.489061638804055 & 62.0235383979616 \tabularnewline
Winsorized Mean ( 31 / 32 ) & 30.3333333333333 & 0.489061638804055 & 62.0235383979616 \tabularnewline
Winsorized Mean ( 32 / 32 ) & 30.3333333333333 & 0.411103208395673 & 73.7852021435418 \tabularnewline
Trimmed Mean ( 1 / 32 ) & 31.1170212765957 & 1.00784572458822 & 30.8747862072933 \tabularnewline
Trimmed Mean ( 2 / 32 ) & 31.0652173913043 & 0.984083114702533 & 31.5676764768946 \tabularnewline
Trimmed Mean ( 3 / 32 ) & 31.0333333333333 & 0.962395315901897 & 32.2459313969653 \tabularnewline
Trimmed Mean ( 4 / 32 ) & 30.9886363636364 & 0.939871253075014 & 32.9711503168648 \tabularnewline
Trimmed Mean ( 5 / 32 ) & 30.9418604651163 & 0.919220905344062 & 33.6609625447267 \tabularnewline
Trimmed Mean ( 6 / 32 ) & 30.8928571428571 & 0.900694233605733 & 34.2989396292506 \tabularnewline
Trimmed Mean ( 7 / 32 ) & 30.8536585365854 & 0.88227927962562 & 34.9703991118068 \tabularnewline
Trimmed Mean ( 8 / 32 ) & 30.8125 & 0.860911672721336 & 35.790547365448 \tabularnewline
Trimmed Mean ( 9 / 32 ) & 30.7692307692308 & 0.841981052962285 & 36.5438517422423 \tabularnewline
Trimmed Mean ( 10 / 32 ) & 30.7236842105263 & 0.819841380510081 & 37.4751567082537 \tabularnewline
Trimmed Mean ( 11 / 32 ) & 30.6621621621622 & 0.796669536181989 & 38.487931029859 \tabularnewline
Trimmed Mean ( 12 / 32 ) & 30.6111111111111 & 0.773321686095802 & 39.5839295101817 \tabularnewline
Trimmed Mean ( 13 / 32 ) & 30.5714285714286 & 0.756632899868987 & 40.4045721204062 \tabularnewline
Trimmed Mean ( 14 / 32 ) & 30.5294117647059 & 0.73674133259107 & 41.4384403510198 \tabularnewline
Trimmed Mean ( 15 / 32 ) & 30.469696969697 & 0.716186383318064 & 42.5443678900066 \tabularnewline
Trimmed Mean ( 16 / 32 ) & 30.421875 & 0.703521713481031 & 43.2422687417455 \tabularnewline
Trimmed Mean ( 17 / 32 ) & 30.3870967741935 & 0.692314399127582 & 43.8920479084152 \tabularnewline
Trimmed Mean ( 18 / 32 ) & 30.35 & 0.67849326256392 & 44.7314684972878 \tabularnewline
Trimmed Mean ( 19 / 32 ) & 30.3103448275862 & 0.661446697891125 & 45.8243195169376 \tabularnewline
Trimmed Mean ( 20 / 32 ) & 30.2857142857143 & 0.645521175583078 & 46.9166859760382 \tabularnewline
Trimmed Mean ( 21 / 32 ) & 30.2592592592593 & 0.635093650514048 & 47.6453499964411 \tabularnewline
Trimmed Mean ( 22 / 32 ) & 30.2307692307692 & 0.621761828358058 & 48.6211405267549 \tabularnewline
Trimmed Mean ( 23 / 32 ) & 30.2 & 0.614783851181429 & 49.1229558843563 \tabularnewline
Trimmed Mean ( 24 / 32 ) & 30.1666666666667 & 0.605334833003422 & 49.8346783002592 \tabularnewline
Trimmed Mean ( 25 / 32 ) & 30.1304347826087 & 0.59271641568493 & 50.8344867550035 \tabularnewline
Trimmed Mean ( 26 / 32 ) & 30.0909090909091 & 0.575961537998756 & 52.2446502165117 \tabularnewline
Trimmed Mean ( 27 / 32 ) & 30.0952380952381 & 0.568030936621234 & 52.9816884169211 \tabularnewline
Trimmed Mean ( 28 / 32 ) & 30.1 & 0.556776436283002 & 54.0611959100593 \tabularnewline
Trimmed Mean ( 29 / 32 ) & 30.0789473684211 & 0.548347548608121 & 54.8538011061979 \tabularnewline
Trimmed Mean ( 30 / 32 ) & 30.0555555555556 & 0.535922945842096 & 56.081859880676 \tabularnewline
Trimmed Mean ( 31 / 32 ) & 30.0294117647059 & 0.517923479915228 & 57.9804023745381 \tabularnewline
Trimmed Mean ( 32 / 32 ) & 30 & 0.491869376837965 & 60.9918027279076 \tabularnewline
Median & 30 &  &  \tabularnewline
Midrange & 36 &  &  \tabularnewline
Midmean - Weighted Average at Xnp & 30.2307692307692 &  &  \tabularnewline
Midmean - Weighted Average at X(n+1)p & 30.2307692307692 &  &  \tabularnewline
Midmean - Empirical Distribution Function & 30.2307692307692 &  &  \tabularnewline
Midmean - Empirical Distribution Function - Averaging & 30.2307692307692 &  &  \tabularnewline
Midmean - Empirical Distribution Function - Interpolation & 30.2307692307692 &  &  \tabularnewline
Midmean - Closest Observation & 30.2307692307692 &  &  \tabularnewline
Midmean - True Basic - Statistics Graphics Toolkit & 30.2307692307692 &  &  \tabularnewline
Midmean - MS Excel (old versions) & 30.2307692307692 &  &  \tabularnewline
Number of observations & 96 &  &  \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=240596&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]31.21875[/C][C]1.07270799367441[/C][C]29.1027476108055[/C][/ROW]
[ROW][C]Geometric Mean[/C][C]29.4182156337073[/C][C][/C][C][/C][/ROW]
[ROW][C]Harmonic Mean[/C][C]27.4910878732091[/C][C][/C][C][/C][/ROW]
[ROW][C]Quadratic Mean[/C][C]32.9230479046721[/C][C][/C][C][/C][/ROW]
[ROW][C]Winsorized Mean ( 1 / 32 )[/C][C]31.1666666666667[/C][C]1.02871776203103[/C][C]30.2966156675796[/C][/ROW]
[ROW][C]Winsorized Mean ( 2 / 32 )[/C][C]31.125[/C][C]1.01978777461939[/C][C]30.5210562184046[/C][/ROW]
[ROW][C]Winsorized Mean ( 3 / 32 )[/C][C]31.15625[/C][C]1.01440589788205[/C][C]30.7137902737456[/C][/ROW]
[ROW][C]Winsorized Mean ( 4 / 32 )[/C][C]31.15625[/C][C]0.99915843151721[/C][C]31.1824922026526[/C][/ROW]
[ROW][C]Winsorized Mean ( 5 / 32 )[/C][C]31.15625[/C][C]0.980883969053228[/C][C]31.7634409195949[/C][/ROW]
[ROW][C]Winsorized Mean ( 6 / 32 )[/C][C]31.09375[/C][C]0.969160213091907[/C][C]32.0831887029305[/C][/ROW]
[ROW][C]Winsorized Mean ( 7 / 32 )[/C][C]31.09375[/C][C]0.969160213091907[/C][C]32.0831887029305[/C][/ROW]
[ROW][C]Winsorized Mean ( 8 / 32 )[/C][C]31.09375[/C][C]0.941615600812233[/C][C]33.021702245777[/C][/ROW]
[ROW][C]Winsorized Mean ( 9 / 32 )[/C][C]31.09375[/C][C]0.941615600812233[/C][C]33.021702245777[/C][/ROW]
[ROW][C]Winsorized Mean ( 10 / 32 )[/C][C]31.1979166666667[/C][C]0.926772814151186[/C][C]33.6629605339042[/C][/ROW]
[ROW][C]Winsorized Mean ( 11 / 32 )[/C][C]31.0833333333333[/C][C]0.9065631390842[/C][C]34.2870032910596[/C][/ROW]
[ROW][C]Winsorized Mean ( 12 / 32 )[/C][C]30.9583333333333[/C][C]0.847327670554048[/C][C]36.5364361500084[/C][/ROW]
[ROW][C]Winsorized Mean ( 13 / 32 )[/C][C]30.9583333333333[/C][C]0.847327670554048[/C][C]36.5364361500084[/C][/ROW]
[ROW][C]Winsorized Mean ( 14 / 32 )[/C][C]31.1041666666667[/C][C]0.828028620398372[/C][C]37.5641202494935[/C][/ROW]
[ROW][C]Winsorized Mean ( 15 / 32 )[/C][C]30.9479166666667[/C][C]0.758630141211757[/C][C]40.7944728075708[/C][/ROW]
[ROW][C]Winsorized Mean ( 16 / 32 )[/C][C]30.78125[/C][C]0.733622818410784[/C][C]41.9578688496632[/C][/ROW]
[ROW][C]Winsorized Mean ( 17 / 32 )[/C][C]30.78125[/C][C]0.733622818410784[/C][C]41.9578688496632[/C][/ROW]
[ROW][C]Winsorized Mean ( 18 / 32 )[/C][C]30.78125[/C][C]0.733622818410784[/C][C]41.9578688496632[/C][/ROW]
[ROW][C]Winsorized Mean ( 19 / 32 )[/C][C]30.5833333333333[/C][C]0.705191691412645[/C][C]43.3688225566989[/C][/ROW]
[ROW][C]Winsorized Mean ( 20 / 32 )[/C][C]30.5833333333333[/C][C]0.650179912123295[/C][C]47.0382624302514[/C][/ROW]
[ROW][C]Winsorized Mean ( 21 / 32 )[/C][C]30.5833333333333[/C][C]0.650179912123295[/C][C]47.0382624302514[/C][/ROW]
[ROW][C]Winsorized Mean ( 22 / 32 )[/C][C]30.5833333333333[/C][C]0.591916799116247[/C][C]51.6682976036418[/C][/ROW]
[ROW][C]Winsorized Mean ( 23 / 32 )[/C][C]30.5833333333333[/C][C]0.591916799116247[/C][C]51.6682976036418[/C][/ROW]
[ROW][C]Winsorized Mean ( 24 / 32 )[/C][C]30.5833333333333[/C][C]0.591916799116247[/C][C]51.6682976036418[/C][/ROW]
[ROW][C]Winsorized Mean ( 25 / 32 )[/C][C]30.5833333333333[/C][C]0.591916799116247[/C][C]51.6682976036418[/C][/ROW]
[ROW][C]Winsorized Mean ( 26 / 32 )[/C][C]30.0416666666667[/C][C]0.52354993282756[/C][C]57.3807096190792[/C][/ROW]
[ROW][C]Winsorized Mean ( 27 / 32 )[/C][C]30.0416666666667[/C][C]0.52354993282756[/C][C]57.3807096190792[/C][/ROW]
[ROW][C]Winsorized Mean ( 28 / 32 )[/C][C]30.3333333333333[/C][C]0.489061638804055[/C][C]62.0235383979616[/C][/ROW]
[ROW][C]Winsorized Mean ( 29 / 32 )[/C][C]30.3333333333333[/C][C]0.489061638804055[/C][C]62.0235383979616[/C][/ROW]
[ROW][C]Winsorized Mean ( 30 / 32 )[/C][C]30.3333333333333[/C][C]0.489061638804055[/C][C]62.0235383979616[/C][/ROW]
[ROW][C]Winsorized Mean ( 31 / 32 )[/C][C]30.3333333333333[/C][C]0.489061638804055[/C][C]62.0235383979616[/C][/ROW]
[ROW][C]Winsorized Mean ( 32 / 32 )[/C][C]30.3333333333333[/C][C]0.411103208395673[/C][C]73.7852021435418[/C][/ROW]
[ROW][C]Trimmed Mean ( 1 / 32 )[/C][C]31.1170212765957[/C][C]1.00784572458822[/C][C]30.8747862072933[/C][/ROW]
[ROW][C]Trimmed Mean ( 2 / 32 )[/C][C]31.0652173913043[/C][C]0.984083114702533[/C][C]31.5676764768946[/C][/ROW]
[ROW][C]Trimmed Mean ( 3 / 32 )[/C][C]31.0333333333333[/C][C]0.962395315901897[/C][C]32.2459313969653[/C][/ROW]
[ROW][C]Trimmed Mean ( 4 / 32 )[/C][C]30.9886363636364[/C][C]0.939871253075014[/C][C]32.9711503168648[/C][/ROW]
[ROW][C]Trimmed Mean ( 5 / 32 )[/C][C]30.9418604651163[/C][C]0.919220905344062[/C][C]33.6609625447267[/C][/ROW]
[ROW][C]Trimmed Mean ( 6 / 32 )[/C][C]30.8928571428571[/C][C]0.900694233605733[/C][C]34.2989396292506[/C][/ROW]
[ROW][C]Trimmed Mean ( 7 / 32 )[/C][C]30.8536585365854[/C][C]0.88227927962562[/C][C]34.9703991118068[/C][/ROW]
[ROW][C]Trimmed Mean ( 8 / 32 )[/C][C]30.8125[/C][C]0.860911672721336[/C][C]35.790547365448[/C][/ROW]
[ROW][C]Trimmed Mean ( 9 / 32 )[/C][C]30.7692307692308[/C][C]0.841981052962285[/C][C]36.5438517422423[/C][/ROW]
[ROW][C]Trimmed Mean ( 10 / 32 )[/C][C]30.7236842105263[/C][C]0.819841380510081[/C][C]37.4751567082537[/C][/ROW]
[ROW][C]Trimmed Mean ( 11 / 32 )[/C][C]30.6621621621622[/C][C]0.796669536181989[/C][C]38.487931029859[/C][/ROW]
[ROW][C]Trimmed Mean ( 12 / 32 )[/C][C]30.6111111111111[/C][C]0.773321686095802[/C][C]39.5839295101817[/C][/ROW]
[ROW][C]Trimmed Mean ( 13 / 32 )[/C][C]30.5714285714286[/C][C]0.756632899868987[/C][C]40.4045721204062[/C][/ROW]
[ROW][C]Trimmed Mean ( 14 / 32 )[/C][C]30.5294117647059[/C][C]0.73674133259107[/C][C]41.4384403510198[/C][/ROW]
[ROW][C]Trimmed Mean ( 15 / 32 )[/C][C]30.469696969697[/C][C]0.716186383318064[/C][C]42.5443678900066[/C][/ROW]
[ROW][C]Trimmed Mean ( 16 / 32 )[/C][C]30.421875[/C][C]0.703521713481031[/C][C]43.2422687417455[/C][/ROW]
[ROW][C]Trimmed Mean ( 17 / 32 )[/C][C]30.3870967741935[/C][C]0.692314399127582[/C][C]43.8920479084152[/C][/ROW]
[ROW][C]Trimmed Mean ( 18 / 32 )[/C][C]30.35[/C][C]0.67849326256392[/C][C]44.7314684972878[/C][/ROW]
[ROW][C]Trimmed Mean ( 19 / 32 )[/C][C]30.3103448275862[/C][C]0.661446697891125[/C][C]45.8243195169376[/C][/ROW]
[ROW][C]Trimmed Mean ( 20 / 32 )[/C][C]30.2857142857143[/C][C]0.645521175583078[/C][C]46.9166859760382[/C][/ROW]
[ROW][C]Trimmed Mean ( 21 / 32 )[/C][C]30.2592592592593[/C][C]0.635093650514048[/C][C]47.6453499964411[/C][/ROW]
[ROW][C]Trimmed Mean ( 22 / 32 )[/C][C]30.2307692307692[/C][C]0.621761828358058[/C][C]48.6211405267549[/C][/ROW]
[ROW][C]Trimmed Mean ( 23 / 32 )[/C][C]30.2[/C][C]0.614783851181429[/C][C]49.1229558843563[/C][/ROW]
[ROW][C]Trimmed Mean ( 24 / 32 )[/C][C]30.1666666666667[/C][C]0.605334833003422[/C][C]49.8346783002592[/C][/ROW]
[ROW][C]Trimmed Mean ( 25 / 32 )[/C][C]30.1304347826087[/C][C]0.59271641568493[/C][C]50.8344867550035[/C][/ROW]
[ROW][C]Trimmed Mean ( 26 / 32 )[/C][C]30.0909090909091[/C][C]0.575961537998756[/C][C]52.2446502165117[/C][/ROW]
[ROW][C]Trimmed Mean ( 27 / 32 )[/C][C]30.0952380952381[/C][C]0.568030936621234[/C][C]52.9816884169211[/C][/ROW]
[ROW][C]Trimmed Mean ( 28 / 32 )[/C][C]30.1[/C][C]0.556776436283002[/C][C]54.0611959100593[/C][/ROW]
[ROW][C]Trimmed Mean ( 29 / 32 )[/C][C]30.0789473684211[/C][C]0.548347548608121[/C][C]54.8538011061979[/C][/ROW]
[ROW][C]Trimmed Mean ( 30 / 32 )[/C][C]30.0555555555556[/C][C]0.535922945842096[/C][C]56.081859880676[/C][/ROW]
[ROW][C]Trimmed Mean ( 31 / 32 )[/C][C]30.0294117647059[/C][C]0.517923479915228[/C][C]57.9804023745381[/C][/ROW]
[ROW][C]Trimmed Mean ( 32 / 32 )[/C][C]30[/C][C]0.491869376837965[/C][C]60.9918027279076[/C][/ROW]
[ROW][C]Median[/C][C]30[/C][C][/C][C][/C][/ROW]
[ROW][C]Midrange[/C][C]36[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - Weighted Average at Xnp[/C][C]30.2307692307692[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - Weighted Average at X(n+1)p[/C][C]30.2307692307692[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - Empirical Distribution Function[/C][C]30.2307692307692[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - Empirical Distribution Function - Averaging[/C][C]30.2307692307692[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - Empirical Distribution Function - Interpolation[/C][C]30.2307692307692[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - Closest Observation[/C][C]30.2307692307692[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - True Basic - Statistics Graphics Toolkit[/C][C]30.2307692307692[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - MS Excel (old versions)[/C][C]30.2307692307692[/C][C][/C][C][/C][/ROW]
[ROW][C]Number of observations[/C][C]96[/C][C][/C][C][/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=240596&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=240596&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 Mean31.218751.0727079936744129.1027476108055
Geometric Mean29.4182156337073
Harmonic Mean27.4910878732091
Quadratic Mean32.9230479046721
Winsorized Mean ( 1 / 32 )31.16666666666671.0287177620310330.2966156675796
Winsorized Mean ( 2 / 32 )31.1251.0197877746193930.5210562184046
Winsorized Mean ( 3 / 32 )31.156251.0144058978820530.7137902737456
Winsorized Mean ( 4 / 32 )31.156250.9991584315172131.1824922026526
Winsorized Mean ( 5 / 32 )31.156250.98088396905322831.7634409195949
Winsorized Mean ( 6 / 32 )31.093750.96916021309190732.0831887029305
Winsorized Mean ( 7 / 32 )31.093750.96916021309190732.0831887029305
Winsorized Mean ( 8 / 32 )31.093750.94161560081223333.021702245777
Winsorized Mean ( 9 / 32 )31.093750.94161560081223333.021702245777
Winsorized Mean ( 10 / 32 )31.19791666666670.92677281415118633.6629605339042
Winsorized Mean ( 11 / 32 )31.08333333333330.906563139084234.2870032910596
Winsorized Mean ( 12 / 32 )30.95833333333330.84732767055404836.5364361500084
Winsorized Mean ( 13 / 32 )30.95833333333330.84732767055404836.5364361500084
Winsorized Mean ( 14 / 32 )31.10416666666670.82802862039837237.5641202494935
Winsorized Mean ( 15 / 32 )30.94791666666670.75863014121175740.7944728075708
Winsorized Mean ( 16 / 32 )30.781250.73362281841078441.9578688496632
Winsorized Mean ( 17 / 32 )30.781250.73362281841078441.9578688496632
Winsorized Mean ( 18 / 32 )30.781250.73362281841078441.9578688496632
Winsorized Mean ( 19 / 32 )30.58333333333330.70519169141264543.3688225566989
Winsorized Mean ( 20 / 32 )30.58333333333330.65017991212329547.0382624302514
Winsorized Mean ( 21 / 32 )30.58333333333330.65017991212329547.0382624302514
Winsorized Mean ( 22 / 32 )30.58333333333330.59191679911624751.6682976036418
Winsorized Mean ( 23 / 32 )30.58333333333330.59191679911624751.6682976036418
Winsorized Mean ( 24 / 32 )30.58333333333330.59191679911624751.6682976036418
Winsorized Mean ( 25 / 32 )30.58333333333330.59191679911624751.6682976036418
Winsorized Mean ( 26 / 32 )30.04166666666670.5235499328275657.3807096190792
Winsorized Mean ( 27 / 32 )30.04166666666670.5235499328275657.3807096190792
Winsorized Mean ( 28 / 32 )30.33333333333330.48906163880405562.0235383979616
Winsorized Mean ( 29 / 32 )30.33333333333330.48906163880405562.0235383979616
Winsorized Mean ( 30 / 32 )30.33333333333330.48906163880405562.0235383979616
Winsorized Mean ( 31 / 32 )30.33333333333330.48906163880405562.0235383979616
Winsorized Mean ( 32 / 32 )30.33333333333330.41110320839567373.7852021435418
Trimmed Mean ( 1 / 32 )31.11702127659571.0078457245882230.8747862072933
Trimmed Mean ( 2 / 32 )31.06521739130430.98408311470253331.5676764768946
Trimmed Mean ( 3 / 32 )31.03333333333330.96239531590189732.2459313969653
Trimmed Mean ( 4 / 32 )30.98863636363640.93987125307501432.9711503168648
Trimmed Mean ( 5 / 32 )30.94186046511630.91922090534406233.6609625447267
Trimmed Mean ( 6 / 32 )30.89285714285710.90069423360573334.2989396292506
Trimmed Mean ( 7 / 32 )30.85365853658540.8822792796256234.9703991118068
Trimmed Mean ( 8 / 32 )30.81250.86091167272133635.790547365448
Trimmed Mean ( 9 / 32 )30.76923076923080.84198105296228536.5438517422423
Trimmed Mean ( 10 / 32 )30.72368421052630.81984138051008137.4751567082537
Trimmed Mean ( 11 / 32 )30.66216216216220.79666953618198938.487931029859
Trimmed Mean ( 12 / 32 )30.61111111111110.77332168609580239.5839295101817
Trimmed Mean ( 13 / 32 )30.57142857142860.75663289986898740.4045721204062
Trimmed Mean ( 14 / 32 )30.52941176470590.7367413325910741.4384403510198
Trimmed Mean ( 15 / 32 )30.4696969696970.71618638331806442.5443678900066
Trimmed Mean ( 16 / 32 )30.4218750.70352171348103143.2422687417455
Trimmed Mean ( 17 / 32 )30.38709677419350.69231439912758243.8920479084152
Trimmed Mean ( 18 / 32 )30.350.6784932625639244.7314684972878
Trimmed Mean ( 19 / 32 )30.31034482758620.66144669789112545.8243195169376
Trimmed Mean ( 20 / 32 )30.28571428571430.64552117558307846.9166859760382
Trimmed Mean ( 21 / 32 )30.25925925925930.63509365051404847.6453499964411
Trimmed Mean ( 22 / 32 )30.23076923076920.62176182835805848.6211405267549
Trimmed Mean ( 23 / 32 )30.20.61478385118142949.1229558843563
Trimmed Mean ( 24 / 32 )30.16666666666670.60533483300342249.8346783002592
Trimmed Mean ( 25 / 32 )30.13043478260870.5927164156849350.8344867550035
Trimmed Mean ( 26 / 32 )30.09090909090910.57596153799875652.2446502165117
Trimmed Mean ( 27 / 32 )30.09523809523810.56803093662123452.9816884169211
Trimmed Mean ( 28 / 32 )30.10.55677643628300254.0611959100593
Trimmed Mean ( 29 / 32 )30.07894736842110.54834754860812154.8538011061979
Trimmed Mean ( 30 / 32 )30.05555555555560.53592294584209656.081859880676
Trimmed Mean ( 31 / 32 )30.02941176470590.51792347991522857.9804023745381
Trimmed Mean ( 32 / 32 )300.49186937683796560.9918027279076
Median30
Midrange36
Midmean - Weighted Average at Xnp30.2307692307692
Midmean - Weighted Average at X(n+1)p30.2307692307692
Midmean - Empirical Distribution Function30.2307692307692
Midmean - Empirical Distribution Function - Averaging30.2307692307692
Midmean - Empirical Distribution Function - Interpolation30.2307692307692
Midmean - Closest Observation30.2307692307692
Midmean - True Basic - Statistics Graphics Toolkit30.2307692307692
Midmean - MS Excel (old versions)30.2307692307692
Number of observations96



Parameters (Session):
Parameters (R input):
R code (references can be found in the software module):
geomean <- function(x) {
return(exp(mean(log(x))))
}
harmean <- function(x) {
return(1/mean(1/x))
}
quamean <- function(x) {
return(sqrt(mean(x*x)))
}
winmean <- function(x) {
x <-sort(x[!is.na(x)])
n<-length(x)
denom <- 3
nodenom <- n/denom
if (nodenom>40) denom <- n/40
sqrtn = sqrt(n)
roundnodenom = floor(nodenom)
win <- array(NA,dim=c(roundnodenom,2))
for (j in 1:roundnodenom) {
win[j,1] <- (j*x[j+1]+sum(x[(j+1):(n-j)])+j*x[n-j])/n
win[j,2] <- sd(c(rep(x[j+1],j),x[(j+1):(n-j)],rep(x[n-j],j)))/sqrtn
}
return(win)
}
trimean <- function(x) {
x <-sort(x[!is.na(x)])
n<-length(x)
denom <- 3
nodenom <- n/denom
if (nodenom>40) denom <- n/40
sqrtn = sqrt(n)
roundnodenom = floor(nodenom)
tri <- array(NA,dim=c(roundnodenom,2))
for (j in 1:roundnodenom) {
tri[j,1] <- mean(x,trim=j/n)
tri[j,2] <- sd(x[(j+1):(n-j)]) / sqrt(n-j*2)
}
return(tri)
}
midrange <- function(x) {
return((max(x)+min(x))/2)
}
q1 <- function(data,n,p,i,f) {
np <- n*p;
i <<- floor(np)
f <<- np - i
qvalue <- (1-f)*data[i] + f*data[i+1]
}
q2 <- function(data,n,p,i,f) {
np <- (n+1)*p
i <<- floor(np)
f <<- np - i
qvalue <- (1-f)*data[i] + f*data[i+1]
}
q3 <- function(data,n,p,i,f) {
np <- n*p
i <<- floor(np)
f <<- np - i
if (f==0) {
qvalue <- data[i]
} else {
qvalue <- data[i+1]
}
}
q4 <- function(data,n,p,i,f) {
np <- n*p
i <<- floor(np)
f <<- np - i
if (f==0) {
qvalue <- (data[i]+data[i+1])/2
} else {
qvalue <- data[i+1]
}
}
q5 <- function(data,n,p,i,f) {
np <- (n-1)*p
i <<- floor(np)
f <<- np - i
if (f==0) {
qvalue <- data[i+1]
} else {
qvalue <- data[i+1] + f*(data[i+2]-data[i+1])
}
}
q6 <- function(data,n,p,i,f) {
np <- n*p+0.5
i <<- floor(np)
f <<- np - i
qvalue <- data[i]
}
q7 <- function(data,n,p,i,f) {
np <- (n+1)*p
i <<- floor(np)
f <<- np - i
if (f==0) {
qvalue <- data[i]
} else {
qvalue <- f*data[i] + (1-f)*data[i+1]
}
}
q8 <- function(data,n,p,i,f) {
np <- (n+1)*p
i <<- floor(np)
f <<- np - i
if (f==0) {
qvalue <- data[i]
} else {
if (f == 0.5) {
qvalue <- (data[i]+data[i+1])/2
} else {
if (f < 0.5) {
qvalue <- data[i]
} else {
qvalue <- data[i+1]
}
}
}
}
midmean <- function(x,def) {
x <-sort(x[!is.na(x)])
n<-length(x)
if (def==1) {
qvalue1 <- q1(x,n,0.25,i,f)
qvalue3 <- q1(x,n,0.75,i,f)
}
if (def==2) {
qvalue1 <- q2(x,n,0.25,i,f)
qvalue3 <- q2(x,n,0.75,i,f)
}
if (def==3) {
qvalue1 <- q3(x,n,0.25,i,f)
qvalue3 <- q3(x,n,0.75,i,f)
}
if (def==4) {
qvalue1 <- q4(x,n,0.25,i,f)
qvalue3 <- q4(x,n,0.75,i,f)
}
if (def==5) {
qvalue1 <- q5(x,n,0.25,i,f)
qvalue3 <- q5(x,n,0.75,i,f)
}
if (def==6) {
qvalue1 <- q6(x,n,0.25,i,f)
qvalue3 <- q6(x,n,0.75,i,f)
}
if (def==7) {
qvalue1 <- q7(x,n,0.25,i,f)
qvalue3 <- q7(x,n,0.75,i,f)
}
if (def==8) {
qvalue1 <- q8(x,n,0.25,i,f)
qvalue3 <- q8(x,n,0.75,i,f)
}
midm <- 0
myn <- 0
roundno4 <- round(n/4)
round3no4 <- round(3*n/4)
for (i in 1:n) {
if ((x[i]>=qvalue1) & (x[i]<=qvalue3)){
midm = midm + x[i]
myn = myn + 1
}
}
midm = midm / myn
return(midm)
}
(arm <- mean(x))
sqrtn <- sqrt(length(x))
(armse <- sd(x) / sqrtn)
(armose <- arm / armse)
(geo <- geomean(x))
(har <- harmean(x))
(qua <- quamean(x))
(win <- winmean(x))
(tri <- trimean(x))
(midr <- midrange(x))
midm <- array(NA,dim=8)
for (j in 1:8) midm[j] <- midmean(x,j)
midm
bitmap(file='test1.png')
lb <- win[,1] - 2*win[,2]
ub <- win[,1] + 2*win[,2]
if ((ylimmin == '') | (ylimmax == '')) plot(win[,1],type='b',main=main, xlab='j', pch=19, ylab='Winsorized Mean(j/n)', ylim=c(min(lb),max(ub))) else plot(win[,1],type='l',main=main, xlab='j', pch=19, ylab='Winsorized Mean(j/n)', ylim=c(ylimmin,ylimmax))
lines(ub,lty=3)
lines(lb,lty=3)
grid()
dev.off()
bitmap(file='test2.png')
lb <- tri[,1] - 2*tri[,2]
ub <- tri[,1] + 2*tri[,2]
if ((ylimmin == '') | (ylimmax == '')) plot(tri[,1],type='b',main=main, xlab='j', pch=19, ylab='Trimmed Mean(j/n)', ylim=c(min(lb),max(ub))) else plot(tri[,1],type='l',main=main, xlab='j', pch=19, ylab='Trimmed Mean(j/n)', ylim=c(ylimmin,ylimmax))
lines(ub,lty=3)
lines(lb,lty=3)
grid()
dev.off()
load(file='createtable')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Central Tendency - Ungrouped Data',4,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Measure',header=TRUE)
a<-table.element(a,'Value',header=TRUE)
a<-table.element(a,'S.E.',header=TRUE)
a<-table.element(a,'Value/S.E.',header=TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,hyperlink('arithmetic_mean.htm', 'Arithmetic Mean', 'click to view the definition of the Arithmetic Mean'),header=TRUE)
a<-table.element(a,arm)
a<-table.element(a,hyperlink('arithmetic_mean_standard_error.htm', armse, 'click to view the definition of the Standard Error of the Arithmetic Mean'))
a<-table.element(a,armose)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,hyperlink('geometric_mean.htm', 'Geometric Mean', 'click to view the definition of the Geometric Mean'),header=TRUE)
a<-table.element(a,geo)
a<-table.element(a,'')
a<-table.element(a,'')
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,hyperlink('harmonic_mean.htm', 'Harmonic Mean', 'click to view the definition of the Harmonic Mean'),header=TRUE)
a<-table.element(a,har)
a<-table.element(a,'')
a<-table.element(a,'')
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,hyperlink('quadratic_mean.htm', 'Quadratic Mean', 'click to view the definition of the Quadratic Mean'),header=TRUE)
a<-table.element(a,qua)
a<-table.element(a,'')
a<-table.element(a,'')
a<-table.row.end(a)
for (j in 1:length(win[,1])) {
a<-table.row.start(a)
mylabel <- paste('Winsorized Mean (',j)
mylabel <- paste(mylabel,'/')
mylabel <- paste(mylabel,length(win[,1]))
mylabel <- paste(mylabel,')')
a<-table.element(a,hyperlink('winsorized_mean.htm', mylabel, 'click to view the definition of the Winsorized Mean'),header=TRUE)
a<-table.element(a,win[j,1])
a<-table.element(a,win[j,2])
a<-table.element(a,win[j,1]/win[j,2])
a<-table.row.end(a)
}
for (j in 1:length(tri[,1])) {
a<-table.row.start(a)
mylabel <- paste('Trimmed Mean (',j)
mylabel <- paste(mylabel,'/')
mylabel <- paste(mylabel,length(tri[,1]))
mylabel <- paste(mylabel,')')
a<-table.element(a,hyperlink('arithmetic_mean.htm', mylabel, 'click to view the definition of the Trimmed Mean'),header=TRUE)
a<-table.element(a,tri[j,1])
a<-table.element(a,tri[j,2])
a<-table.element(a,tri[j,1]/tri[j,2])
a<-table.row.end(a)
}
a<-table.row.start(a)
a<-table.element(a,hyperlink('median_1.htm', 'Median', 'click to view the definition of the Median'),header=TRUE)
a<-table.element(a,median(x))
a<-table.element(a,'')
a<-table.element(a,'')
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,hyperlink('midrange.htm', 'Midrange', 'click to view the definition of the Midrange'),header=TRUE)
a<-table.element(a,midr)
a<-table.element(a,'')
a<-table.element(a,'')
a<-table.row.end(a)
a<-table.row.start(a)
mymid <- hyperlink('midmean.htm', 'Midmean', 'click to view the definition of the Midmean')
mylabel <- paste(mymid,hyperlink('method_1.htm','Weighted Average at Xnp',''),sep=' - ')
a<-table.element(a,mylabel,header=TRUE)
a<-table.element(a,midm[1])
a<-table.element(a,'')
a<-table.element(a,'')
a<-table.row.end(a)
a<-table.row.start(a)
mymid <- hyperlink('midmean.htm', 'Midmean', 'click to view the definition of the Midmean')
mylabel <- paste(mymid,hyperlink('method_2.htm','Weighted Average at X(n+1)p',''),sep=' - ')
a<-table.element(a,mylabel,header=TRUE)
a<-table.element(a,midm[2])
a<-table.element(a,'')
a<-table.element(a,'')
a<-table.row.end(a)
a<-table.row.start(a)
mymid <- hyperlink('midmean.htm', 'Midmean', 'click to view the definition of the Midmean')
mylabel <- paste(mymid,hyperlink('method_3.htm','Empirical Distribution Function',''),sep=' - ')
a<-table.element(a,mylabel,header=TRUE)
a<-table.element(a,midm[3])
a<-table.element(a,'')
a<-table.element(a,'')
a<-table.row.end(a)
a<-table.row.start(a)
mymid <- hyperlink('midmean.htm', 'Midmean', 'click to view the definition of the Midmean')
mylabel <- paste(mymid,hyperlink('method_4.htm','Empirical Distribution Function - Averaging',''),sep=' - ')
a<-table.element(a,mylabel,header=TRUE)
a<-table.element(a,midm[4])
a<-table.element(a,'')
a<-table.element(a,'')
a<-table.row.end(a)
a<-table.row.start(a)
mymid <- hyperlink('midmean.htm', 'Midmean', 'click to view the definition of the Midmean')
mylabel <- paste(mymid,hyperlink('method_5.htm','Empirical Distribution Function - Interpolation',''),sep=' - ')
a<-table.element(a,mylabel,header=TRUE)
a<-table.element(a,midm[5])
a<-table.element(a,'')
a<-table.element(a,'')
a<-table.row.end(a)
a<-table.row.start(a)
mymid <- hyperlink('midmean.htm', 'Midmean', 'click to view the definition of the Midmean')
mylabel <- paste(mymid,hyperlink('method_6.htm','Closest Observation',''),sep=' - ')
a<-table.element(a,mylabel,header=TRUE)
a<-table.element(a,midm[6])
a<-table.element(a,'')
a<-table.element(a,'')
a<-table.row.end(a)
a<-table.row.start(a)
mymid <- hyperlink('midmean.htm', 'Midmean', 'click to view the definition of the Midmean')
mylabel <- paste(mymid,hyperlink('method_7.htm','True Basic - Statistics Graphics Toolkit',''),sep=' - ')
a<-table.element(a,mylabel,header=TRUE)
a<-table.element(a,midm[7])
a<-table.element(a,'')
a<-table.element(a,'')
a<-table.row.end(a)
a<-table.row.start(a)
mymid <- hyperlink('midmean.htm', 'Midmean', 'click to view the definition of the Midmean')
mylabel <- paste(mymid,hyperlink('method_8.htm','MS Excel (old versions)',''),sep=' - ')
a<-table.element(a,mylabel,header=TRUE)
a<-table.element(a,midm[8])
a<-table.element(a,'')
a<-table.element(a,'')
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Number of observations',header=TRUE)
a<-table.element(a,length(x))
a<-table.element(a,'')
a<-table.element(a,'')
a<-table.row.end(a)
a<-table.end(a)
table.save(a,file='mytable.tab')