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Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_centraltendency.wasp
Title produced by softwareCentral Tendency
Date of computationThu, 17 Dec 2015 11:47:16 +0000
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2015/Dec/17/t1450352853za0q784qxfcnfi3.htm/, Retrieved Thu, 16 May 2024 14:04:57 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=286760, Retrieved Thu, 16 May 2024 14:04:57 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact106
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Testing Mean with unknown Variance - Critical Value] [] [2015-10-24 09:52:55] [32b17a345b130fdf5cc88718ed94a974]
- R P   [Testing Mean with unknown Variance - Critical Value] [] [2015-11-07 09:00:23] [32b17a345b130fdf5cc88718ed94a974]
- RMPD      [Central Tendency] [] [2015-12-17 11:47:16] [5fd2fca6b664199b2dd86155c5786748] [Current]
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Dataseries X:
-420,3
102,7
264,1
-206
-52,29
-155,3
-206,7
77,53
625,8
403,3
235,8
331,9
-228,5
-6,156
-38,23
103,2
147,9
44,31
-266,9
330
188,3
-148,2
-29,15
78,47
200,9
-131,3
-220,4
267,1
-109,4
52,99
-320,3
77,6
-95,51
139,9
-14,38
48,93
-215,3
169,4
-329,6
5,414
110,6
-139,2
245,4
-32,79
-140
-222
130,4
-238,2
419,6
-248,5
440
-287
-125,5
1,584
319,8
-100,5
-77,48
149,7
-152,6
-129,5
-275,8
-235,9
-11,72
301,8
310,2
-93,95
-230,6
-215,1
-30,17
215,1
-69,67
59,69
-59,59
219,5
213,1
-197,1
-366,8
-102,4
-57,51
109,2
64,85
-150,6
0,6003
217,8
-166,6
-268,3
118,1
-166,3
67,5
303,5
-128,1




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Sir Maurice George Kendall' @ kendall.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 & 'Sir Maurice George Kendall' @ kendall.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=286760&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]'Sir Maurice George Kendall' @ kendall.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=286760&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=286760&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'Sir Maurice George Kendall' @ kendall.wessa.net







Central Tendency - Ungrouped Data
MeasureValueS.E.Value/S.E.
Arithmetic Mean0.0018934065934066322.09322523279578.57007781098441e-05
Geometric MeanNaN
Harmonic Mean44.477756383587
Quadratic Mean209.594737792767
Winsorized Mean ( 1 / 30 )-1.4519527472527521.4188376085623-0.0677885874942307
Winsorized Mean ( 2 / 30 )-1.0827219780219821.1699899786225-0.0511441894453097
Winsorized Mean ( 3 / 30 )-1.3134912087912121.0008357164511-0.0625447113879509
Winsorized Mean ( 4 / 30 )-2.9882164835164820.1355492534424-0.148405014728149
Winsorized Mean ( 5 / 30 )-2.4772274725274720.0213735254537-0.123729147222498
Winsorized Mean ( 6 / 30 )-2.6552494505494519.8242285323382-0.133939610624347
Winsorized Mean ( 7 / 30 )-3.2860186813186819.6760960614584-0.167005623018651
Winsorized Mean ( 8 / 30 )-2.2574472527472519.3373305892094-0.116740376461628
Winsorized Mean ( 9 / 30 )-1.4068978021977919.165787277671-0.0734067315792914
Winsorized Mean ( 10 / 30 )-4.9673373626373618.48351266759-0.268744229085166
Winsorized Mean ( 11 / 30 )-4.6893153846153818.3360015816528-0.25574361802562
Winsorized Mean ( 12 / 30 )-6.8783263736263717.904051488755-0.384177088518006
Winsorized Mean ( 13 / 30 )-7.3211835164835217.5642990695952-0.416821843415142
Winsorized Mean ( 14 / 30 )-9.5827219780219717.1517846693377-0.558701159253301
Winsorized Mean ( 15 / 30 )-9.0222824175824216.9961257535585-0.530843472706916
Winsorized Mean ( 16 / 30 )-9.4618428571428616.9211825663888-0.55917148934598
Winsorized Mean ( 17 / 30 )-8.2662384615384516.6562251193418-0.496285226833264
Winsorized Mean ( 18 / 30 )-10.540963736263716.2855428506352-0.647258972755251
Winsorized Mean ( 19 / 30 )-11.313491208791215.6630725417687-0.722303441972928
Winsorized Mean ( 20 / 30 )-8.7640406593406514.2233113134807-0.616174424237919
Winsorized Mean ( 21 / 30 )-13.240963736263713.595339600779-0.973934018941687
Winsorized Mean ( 22 / 30 )-11.016787912087913.2095074309806-0.834004444878083
Winsorized Mean ( 23 / 30 )-12.356348351648312.8585667138825-0.960942897182164
Winsorized Mean ( 24 / 30 )-14.334370329670312.4681312646181-1.14968073606573
Winsorized Mean ( 25 / 30 )-17.054150549450511.9577006081946-1.42620651814642
Winsorized Mean ( 26 / 30 )-16.854150549450511.4067685307386-1.47755698768082
Winsorized Mean ( 27 / 30 )-17.032172527472511.3268056942474-1.50370483852501
Winsorized Mean ( 28 / 30 )-16.447557142857210.8097764713055-1.52154461163162
Winsorized Mean ( 29 / 30 )-16.033271428571410.7225931801492-1.49527928171833
Winsorized Mean ( 30 / 30 )-23.55964505494519.70887737105487-2.42660857219018
Trimmed Mean ( 1 / 30 )-2.3070528089887620.9237464499225-0.110260025111197
Trimmed Mean ( 2 / 30 )-3.2014678160919520.3560730048073-0.157273351070017
Trimmed Mean ( 3 / 30 )-4.3356219.8555982339966-0.218357560870494
Trimmed Mean ( 4 / 30 )-5.4400927710843419.3518475992769-0.281114903534462
Trimmed Mean ( 5 / 30 )-6.1287370370370419.0665398743554-0.321439394742002
Trimmed Mean ( 6 / 30 )-6.9699708860759518.7655915700355-0.371422923709234
Trimmed Mean ( 7 / 30 )-7.8198402597402618.4628204831896-0.423545268549853
Trimmed Mean ( 8 / 30 )-8.6057026666666718.1410855440116-0.474376389758408
Trimmed Mean ( 9 / 30 )-9.594917.8328782551363-0.538045505763292
Trimmed Mean ( 10 / 30 )-10.760953521126817.5004747131908-0.614894949850465
Trimmed Mean ( 11 / 30 )-11.525039130434817.2379323449103-0.668585935936668
Trimmed Mean ( 12 / 30 )-12.369070149253716.948319581399-0.729811005147019
Trimmed Mean ( 13 / 30 )-13.009656923076916.6771926377189-0.78008674515475
Trimmed Mean ( 14 / 30 )-13.641709523809516.4066291802073-0.831475458729005
Trimmed Mean ( 15 / 30 )-14.074224590163916.1473050279931-0.871614462336885
Trimmed Mean ( 16 / 30 )-14.593689830508515.8530878803329-0.920558186560812
Trimmed Mean ( 17 / 30 )-15.10574912280715.5016519819002-0.97446060203419
Trimmed Mean ( 18 / 30 )-15.771412727272715.1116037179844-1.04366240814686
Trimmed Mean ( 19 / 30 )-16.270333962264214.6943246351073-1.10725292698321
Trimmed Mean ( 20 / 30 )-16.73583725490214.2873155503279-1.17137730989065
Trimmed Mean ( 21 / 30 )-17.476075510204114.0363983612137-1.24505411291939
Trimmed Mean ( 22 / 30 )-17.866546808510613.8260737169411-1.29223575501545
Trimmed Mean ( 23 / 30 )-18.496171111111113.6126845645792-1.35874529548998
Trimmed Mean ( 24 / 30 )-19.061109302325613.3903270584648-1.42349841188352
Trimmed Mean ( 25 / 30 )-19.498236585365913.1633363149084-1.4812533934336
Trimmed Mean ( 26 / 30 )-19.726351282051312.9534869545865-1.52286031948074
Trimmed Mean ( 27 / 30 )-19.998045945945912.7700712272586-1.56600895876436
Trimmed Mean ( 28 / 30 )-20.283648571428612.5125627650662-1.62106268334242
Trimmed Mean ( 29 / 30 )-20.283648571428612.260349609706-1.65441029147904
Trimmed Mean ( 30 / 30 )-21.129925806451611.8984591640886-1.77585395848776
Median-29.15
Midrange102.75
Midmean - Weighted Average at Xnp-21.4701673913044
Midmean - Weighted Average at X(n+1)p-17.8665468085107
Midmean - Empirical Distribution Function-17.8665468085107
Midmean - Empirical Distribution Function - Averaging-17.8665468085107
Midmean - Empirical Distribution Function - Interpolation-18.4961711111111
Midmean - Closest Observation-21.4701673913044
Midmean - True Basic - Statistics Graphics Toolkit-17.8665468085107
Midmean - MS Excel (old versions)-17.8665468085107
Number of observations91

\begin{tabular}{lllllllll}
\hline
Central Tendency - Ungrouped Data \tabularnewline
Measure & Value & S.E. & Value/S.E. \tabularnewline
Arithmetic Mean & 0.00189340659340663 & 22.0932252327957 & 8.57007781098441e-05 \tabularnewline
Geometric Mean & NaN &  &  \tabularnewline
Harmonic Mean & 44.477756383587 &  &  \tabularnewline
Quadratic Mean & 209.594737792767 &  &  \tabularnewline
Winsorized Mean ( 1 / 30 ) & -1.45195274725275 & 21.4188376085623 & -0.0677885874942307 \tabularnewline
Winsorized Mean ( 2 / 30 ) & -1.08272197802198 & 21.1699899786225 & -0.0511441894453097 \tabularnewline
Winsorized Mean ( 3 / 30 ) & -1.31349120879121 & 21.0008357164511 & -0.0625447113879509 \tabularnewline
Winsorized Mean ( 4 / 30 ) & -2.98821648351648 & 20.1355492534424 & -0.148405014728149 \tabularnewline
Winsorized Mean ( 5 / 30 ) & -2.47722747252747 & 20.0213735254537 & -0.123729147222498 \tabularnewline
Winsorized Mean ( 6 / 30 ) & -2.65524945054945 & 19.8242285323382 & -0.133939610624347 \tabularnewline
Winsorized Mean ( 7 / 30 ) & -3.28601868131868 & 19.6760960614584 & -0.167005623018651 \tabularnewline
Winsorized Mean ( 8 / 30 ) & -2.25744725274725 & 19.3373305892094 & -0.116740376461628 \tabularnewline
Winsorized Mean ( 9 / 30 ) & -1.40689780219779 & 19.165787277671 & -0.0734067315792914 \tabularnewline
Winsorized Mean ( 10 / 30 ) & -4.96733736263736 & 18.48351266759 & -0.268744229085166 \tabularnewline
Winsorized Mean ( 11 / 30 ) & -4.68931538461538 & 18.3360015816528 & -0.25574361802562 \tabularnewline
Winsorized Mean ( 12 / 30 ) & -6.87832637362637 & 17.904051488755 & -0.384177088518006 \tabularnewline
Winsorized Mean ( 13 / 30 ) & -7.32118351648352 & 17.5642990695952 & -0.416821843415142 \tabularnewline
Winsorized Mean ( 14 / 30 ) & -9.58272197802197 & 17.1517846693377 & -0.558701159253301 \tabularnewline
Winsorized Mean ( 15 / 30 ) & -9.02228241758242 & 16.9961257535585 & -0.530843472706916 \tabularnewline
Winsorized Mean ( 16 / 30 ) & -9.46184285714286 & 16.9211825663888 & -0.55917148934598 \tabularnewline
Winsorized Mean ( 17 / 30 ) & -8.26623846153845 & 16.6562251193418 & -0.496285226833264 \tabularnewline
Winsorized Mean ( 18 / 30 ) & -10.5409637362637 & 16.2855428506352 & -0.647258972755251 \tabularnewline
Winsorized Mean ( 19 / 30 ) & -11.3134912087912 & 15.6630725417687 & -0.722303441972928 \tabularnewline
Winsorized Mean ( 20 / 30 ) & -8.76404065934065 & 14.2233113134807 & -0.616174424237919 \tabularnewline
Winsorized Mean ( 21 / 30 ) & -13.2409637362637 & 13.595339600779 & -0.973934018941687 \tabularnewline
Winsorized Mean ( 22 / 30 ) & -11.0167879120879 & 13.2095074309806 & -0.834004444878083 \tabularnewline
Winsorized Mean ( 23 / 30 ) & -12.3563483516483 & 12.8585667138825 & -0.960942897182164 \tabularnewline
Winsorized Mean ( 24 / 30 ) & -14.3343703296703 & 12.4681312646181 & -1.14968073606573 \tabularnewline
Winsorized Mean ( 25 / 30 ) & -17.0541505494505 & 11.9577006081946 & -1.42620651814642 \tabularnewline
Winsorized Mean ( 26 / 30 ) & -16.8541505494505 & 11.4067685307386 & -1.47755698768082 \tabularnewline
Winsorized Mean ( 27 / 30 ) & -17.0321725274725 & 11.3268056942474 & -1.50370483852501 \tabularnewline
Winsorized Mean ( 28 / 30 ) & -16.4475571428572 & 10.8097764713055 & -1.52154461163162 \tabularnewline
Winsorized Mean ( 29 / 30 ) & -16.0332714285714 & 10.7225931801492 & -1.49527928171833 \tabularnewline
Winsorized Mean ( 30 / 30 ) & -23.5596450549451 & 9.70887737105487 & -2.42660857219018 \tabularnewline
Trimmed Mean ( 1 / 30 ) & -2.30705280898876 & 20.9237464499225 & -0.110260025111197 \tabularnewline
Trimmed Mean ( 2 / 30 ) & -3.20146781609195 & 20.3560730048073 & -0.157273351070017 \tabularnewline
Trimmed Mean ( 3 / 30 ) & -4.33562 & 19.8555982339966 & -0.218357560870494 \tabularnewline
Trimmed Mean ( 4 / 30 ) & -5.44009277108434 & 19.3518475992769 & -0.281114903534462 \tabularnewline
Trimmed Mean ( 5 / 30 ) & -6.12873703703704 & 19.0665398743554 & -0.321439394742002 \tabularnewline
Trimmed Mean ( 6 / 30 ) & -6.96997088607595 & 18.7655915700355 & -0.371422923709234 \tabularnewline
Trimmed Mean ( 7 / 30 ) & -7.81984025974026 & 18.4628204831896 & -0.423545268549853 \tabularnewline
Trimmed Mean ( 8 / 30 ) & -8.60570266666667 & 18.1410855440116 & -0.474376389758408 \tabularnewline
Trimmed Mean ( 9 / 30 ) & -9.5949 & 17.8328782551363 & -0.538045505763292 \tabularnewline
Trimmed Mean ( 10 / 30 ) & -10.7609535211268 & 17.5004747131908 & -0.614894949850465 \tabularnewline
Trimmed Mean ( 11 / 30 ) & -11.5250391304348 & 17.2379323449103 & -0.668585935936668 \tabularnewline
Trimmed Mean ( 12 / 30 ) & -12.3690701492537 & 16.948319581399 & -0.729811005147019 \tabularnewline
Trimmed Mean ( 13 / 30 ) & -13.0096569230769 & 16.6771926377189 & -0.78008674515475 \tabularnewline
Trimmed Mean ( 14 / 30 ) & -13.6417095238095 & 16.4066291802073 & -0.831475458729005 \tabularnewline
Trimmed Mean ( 15 / 30 ) & -14.0742245901639 & 16.1473050279931 & -0.871614462336885 \tabularnewline
Trimmed Mean ( 16 / 30 ) & -14.5936898305085 & 15.8530878803329 & -0.920558186560812 \tabularnewline
Trimmed Mean ( 17 / 30 ) & -15.105749122807 & 15.5016519819002 & -0.97446060203419 \tabularnewline
Trimmed Mean ( 18 / 30 ) & -15.7714127272727 & 15.1116037179844 & -1.04366240814686 \tabularnewline
Trimmed Mean ( 19 / 30 ) & -16.2703339622642 & 14.6943246351073 & -1.10725292698321 \tabularnewline
Trimmed Mean ( 20 / 30 ) & -16.735837254902 & 14.2873155503279 & -1.17137730989065 \tabularnewline
Trimmed Mean ( 21 / 30 ) & -17.4760755102041 & 14.0363983612137 & -1.24505411291939 \tabularnewline
Trimmed Mean ( 22 / 30 ) & -17.8665468085106 & 13.8260737169411 & -1.29223575501545 \tabularnewline
Trimmed Mean ( 23 / 30 ) & -18.4961711111111 & 13.6126845645792 & -1.35874529548998 \tabularnewline
Trimmed Mean ( 24 / 30 ) & -19.0611093023256 & 13.3903270584648 & -1.42349841188352 \tabularnewline
Trimmed Mean ( 25 / 30 ) & -19.4982365853659 & 13.1633363149084 & -1.4812533934336 \tabularnewline
Trimmed Mean ( 26 / 30 ) & -19.7263512820513 & 12.9534869545865 & -1.52286031948074 \tabularnewline
Trimmed Mean ( 27 / 30 ) & -19.9980459459459 & 12.7700712272586 & -1.56600895876436 \tabularnewline
Trimmed Mean ( 28 / 30 ) & -20.2836485714286 & 12.5125627650662 & -1.62106268334242 \tabularnewline
Trimmed Mean ( 29 / 30 ) & -20.2836485714286 & 12.260349609706 & -1.65441029147904 \tabularnewline
Trimmed Mean ( 30 / 30 ) & -21.1299258064516 & 11.8984591640886 & -1.77585395848776 \tabularnewline
Median & -29.15 &  &  \tabularnewline
Midrange & 102.75 &  &  \tabularnewline
Midmean - Weighted Average at Xnp & -21.4701673913044 &  &  \tabularnewline
Midmean - Weighted Average at X(n+1)p & -17.8665468085107 &  &  \tabularnewline
Midmean - Empirical Distribution Function & -17.8665468085107 &  &  \tabularnewline
Midmean - Empirical Distribution Function - Averaging & -17.8665468085107 &  &  \tabularnewline
Midmean - Empirical Distribution Function - Interpolation & -18.4961711111111 &  &  \tabularnewline
Midmean - Closest Observation & -21.4701673913044 &  &  \tabularnewline
Midmean - True Basic - Statistics Graphics Toolkit & -17.8665468085107 &  &  \tabularnewline
Midmean - MS Excel (old versions) & -17.8665468085107 &  &  \tabularnewline
Number of observations & 91 &  &  \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=286760&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]0.00189340659340663[/C][C]22.0932252327957[/C][C]8.57007781098441e-05[/C][/ROW]
[ROW][C]Geometric Mean[/C][C]NaN[/C][C][/C][C][/C][/ROW]
[ROW][C]Harmonic Mean[/C][C]44.477756383587[/C][C][/C][C][/C][/ROW]
[ROW][C]Quadratic Mean[/C][C]209.594737792767[/C][C][/C][C][/C][/ROW]
[ROW][C]Winsorized Mean ( 1 / 30 )[/C][C]-1.45195274725275[/C][C]21.4188376085623[/C][C]-0.0677885874942307[/C][/ROW]
[ROW][C]Winsorized Mean ( 2 / 30 )[/C][C]-1.08272197802198[/C][C]21.1699899786225[/C][C]-0.0511441894453097[/C][/ROW]
[ROW][C]Winsorized Mean ( 3 / 30 )[/C][C]-1.31349120879121[/C][C]21.0008357164511[/C][C]-0.0625447113879509[/C][/ROW]
[ROW][C]Winsorized Mean ( 4 / 30 )[/C][C]-2.98821648351648[/C][C]20.1355492534424[/C][C]-0.148405014728149[/C][/ROW]
[ROW][C]Winsorized Mean ( 5 / 30 )[/C][C]-2.47722747252747[/C][C]20.0213735254537[/C][C]-0.123729147222498[/C][/ROW]
[ROW][C]Winsorized Mean ( 6 / 30 )[/C][C]-2.65524945054945[/C][C]19.8242285323382[/C][C]-0.133939610624347[/C][/ROW]
[ROW][C]Winsorized Mean ( 7 / 30 )[/C][C]-3.28601868131868[/C][C]19.6760960614584[/C][C]-0.167005623018651[/C][/ROW]
[ROW][C]Winsorized Mean ( 8 / 30 )[/C][C]-2.25744725274725[/C][C]19.3373305892094[/C][C]-0.116740376461628[/C][/ROW]
[ROW][C]Winsorized Mean ( 9 / 30 )[/C][C]-1.40689780219779[/C][C]19.165787277671[/C][C]-0.0734067315792914[/C][/ROW]
[ROW][C]Winsorized Mean ( 10 / 30 )[/C][C]-4.96733736263736[/C][C]18.48351266759[/C][C]-0.268744229085166[/C][/ROW]
[ROW][C]Winsorized Mean ( 11 / 30 )[/C][C]-4.68931538461538[/C][C]18.3360015816528[/C][C]-0.25574361802562[/C][/ROW]
[ROW][C]Winsorized Mean ( 12 / 30 )[/C][C]-6.87832637362637[/C][C]17.904051488755[/C][C]-0.384177088518006[/C][/ROW]
[ROW][C]Winsorized Mean ( 13 / 30 )[/C][C]-7.32118351648352[/C][C]17.5642990695952[/C][C]-0.416821843415142[/C][/ROW]
[ROW][C]Winsorized Mean ( 14 / 30 )[/C][C]-9.58272197802197[/C][C]17.1517846693377[/C][C]-0.558701159253301[/C][/ROW]
[ROW][C]Winsorized Mean ( 15 / 30 )[/C][C]-9.02228241758242[/C][C]16.9961257535585[/C][C]-0.530843472706916[/C][/ROW]
[ROW][C]Winsorized Mean ( 16 / 30 )[/C][C]-9.46184285714286[/C][C]16.9211825663888[/C][C]-0.55917148934598[/C][/ROW]
[ROW][C]Winsorized Mean ( 17 / 30 )[/C][C]-8.26623846153845[/C][C]16.6562251193418[/C][C]-0.496285226833264[/C][/ROW]
[ROW][C]Winsorized Mean ( 18 / 30 )[/C][C]-10.5409637362637[/C][C]16.2855428506352[/C][C]-0.647258972755251[/C][/ROW]
[ROW][C]Winsorized Mean ( 19 / 30 )[/C][C]-11.3134912087912[/C][C]15.6630725417687[/C][C]-0.722303441972928[/C][/ROW]
[ROW][C]Winsorized Mean ( 20 / 30 )[/C][C]-8.76404065934065[/C][C]14.2233113134807[/C][C]-0.616174424237919[/C][/ROW]
[ROW][C]Winsorized Mean ( 21 / 30 )[/C][C]-13.2409637362637[/C][C]13.595339600779[/C][C]-0.973934018941687[/C][/ROW]
[ROW][C]Winsorized Mean ( 22 / 30 )[/C][C]-11.0167879120879[/C][C]13.2095074309806[/C][C]-0.834004444878083[/C][/ROW]
[ROW][C]Winsorized Mean ( 23 / 30 )[/C][C]-12.3563483516483[/C][C]12.8585667138825[/C][C]-0.960942897182164[/C][/ROW]
[ROW][C]Winsorized Mean ( 24 / 30 )[/C][C]-14.3343703296703[/C][C]12.4681312646181[/C][C]-1.14968073606573[/C][/ROW]
[ROW][C]Winsorized Mean ( 25 / 30 )[/C][C]-17.0541505494505[/C][C]11.9577006081946[/C][C]-1.42620651814642[/C][/ROW]
[ROW][C]Winsorized Mean ( 26 / 30 )[/C][C]-16.8541505494505[/C][C]11.4067685307386[/C][C]-1.47755698768082[/C][/ROW]
[ROW][C]Winsorized Mean ( 27 / 30 )[/C][C]-17.0321725274725[/C][C]11.3268056942474[/C][C]-1.50370483852501[/C][/ROW]
[ROW][C]Winsorized Mean ( 28 / 30 )[/C][C]-16.4475571428572[/C][C]10.8097764713055[/C][C]-1.52154461163162[/C][/ROW]
[ROW][C]Winsorized Mean ( 29 / 30 )[/C][C]-16.0332714285714[/C][C]10.7225931801492[/C][C]-1.49527928171833[/C][/ROW]
[ROW][C]Winsorized Mean ( 30 / 30 )[/C][C]-23.5596450549451[/C][C]9.70887737105487[/C][C]-2.42660857219018[/C][/ROW]
[ROW][C]Trimmed Mean ( 1 / 30 )[/C][C]-2.30705280898876[/C][C]20.9237464499225[/C][C]-0.110260025111197[/C][/ROW]
[ROW][C]Trimmed Mean ( 2 / 30 )[/C][C]-3.20146781609195[/C][C]20.3560730048073[/C][C]-0.157273351070017[/C][/ROW]
[ROW][C]Trimmed Mean ( 3 / 30 )[/C][C]-4.33562[/C][C]19.8555982339966[/C][C]-0.218357560870494[/C][/ROW]
[ROW][C]Trimmed Mean ( 4 / 30 )[/C][C]-5.44009277108434[/C][C]19.3518475992769[/C][C]-0.281114903534462[/C][/ROW]
[ROW][C]Trimmed Mean ( 5 / 30 )[/C][C]-6.12873703703704[/C][C]19.0665398743554[/C][C]-0.321439394742002[/C][/ROW]
[ROW][C]Trimmed Mean ( 6 / 30 )[/C][C]-6.96997088607595[/C][C]18.7655915700355[/C][C]-0.371422923709234[/C][/ROW]
[ROW][C]Trimmed Mean ( 7 / 30 )[/C][C]-7.81984025974026[/C][C]18.4628204831896[/C][C]-0.423545268549853[/C][/ROW]
[ROW][C]Trimmed Mean ( 8 / 30 )[/C][C]-8.60570266666667[/C][C]18.1410855440116[/C][C]-0.474376389758408[/C][/ROW]
[ROW][C]Trimmed Mean ( 9 / 30 )[/C][C]-9.5949[/C][C]17.8328782551363[/C][C]-0.538045505763292[/C][/ROW]
[ROW][C]Trimmed Mean ( 10 / 30 )[/C][C]-10.7609535211268[/C][C]17.5004747131908[/C][C]-0.614894949850465[/C][/ROW]
[ROW][C]Trimmed Mean ( 11 / 30 )[/C][C]-11.5250391304348[/C][C]17.2379323449103[/C][C]-0.668585935936668[/C][/ROW]
[ROW][C]Trimmed Mean ( 12 / 30 )[/C][C]-12.3690701492537[/C][C]16.948319581399[/C][C]-0.729811005147019[/C][/ROW]
[ROW][C]Trimmed Mean ( 13 / 30 )[/C][C]-13.0096569230769[/C][C]16.6771926377189[/C][C]-0.78008674515475[/C][/ROW]
[ROW][C]Trimmed Mean ( 14 / 30 )[/C][C]-13.6417095238095[/C][C]16.4066291802073[/C][C]-0.831475458729005[/C][/ROW]
[ROW][C]Trimmed Mean ( 15 / 30 )[/C][C]-14.0742245901639[/C][C]16.1473050279931[/C][C]-0.871614462336885[/C][/ROW]
[ROW][C]Trimmed Mean ( 16 / 30 )[/C][C]-14.5936898305085[/C][C]15.8530878803329[/C][C]-0.920558186560812[/C][/ROW]
[ROW][C]Trimmed Mean ( 17 / 30 )[/C][C]-15.105749122807[/C][C]15.5016519819002[/C][C]-0.97446060203419[/C][/ROW]
[ROW][C]Trimmed Mean ( 18 / 30 )[/C][C]-15.7714127272727[/C][C]15.1116037179844[/C][C]-1.04366240814686[/C][/ROW]
[ROW][C]Trimmed Mean ( 19 / 30 )[/C][C]-16.2703339622642[/C][C]14.6943246351073[/C][C]-1.10725292698321[/C][/ROW]
[ROW][C]Trimmed Mean ( 20 / 30 )[/C][C]-16.735837254902[/C][C]14.2873155503279[/C][C]-1.17137730989065[/C][/ROW]
[ROW][C]Trimmed Mean ( 21 / 30 )[/C][C]-17.4760755102041[/C][C]14.0363983612137[/C][C]-1.24505411291939[/C][/ROW]
[ROW][C]Trimmed Mean ( 22 / 30 )[/C][C]-17.8665468085106[/C][C]13.8260737169411[/C][C]-1.29223575501545[/C][/ROW]
[ROW][C]Trimmed Mean ( 23 / 30 )[/C][C]-18.4961711111111[/C][C]13.6126845645792[/C][C]-1.35874529548998[/C][/ROW]
[ROW][C]Trimmed Mean ( 24 / 30 )[/C][C]-19.0611093023256[/C][C]13.3903270584648[/C][C]-1.42349841188352[/C][/ROW]
[ROW][C]Trimmed Mean ( 25 / 30 )[/C][C]-19.4982365853659[/C][C]13.1633363149084[/C][C]-1.4812533934336[/C][/ROW]
[ROW][C]Trimmed Mean ( 26 / 30 )[/C][C]-19.7263512820513[/C][C]12.9534869545865[/C][C]-1.52286031948074[/C][/ROW]
[ROW][C]Trimmed Mean ( 27 / 30 )[/C][C]-19.9980459459459[/C][C]12.7700712272586[/C][C]-1.56600895876436[/C][/ROW]
[ROW][C]Trimmed Mean ( 28 / 30 )[/C][C]-20.2836485714286[/C][C]12.5125627650662[/C][C]-1.62106268334242[/C][/ROW]
[ROW][C]Trimmed Mean ( 29 / 30 )[/C][C]-20.2836485714286[/C][C]12.260349609706[/C][C]-1.65441029147904[/C][/ROW]
[ROW][C]Trimmed Mean ( 30 / 30 )[/C][C]-21.1299258064516[/C][C]11.8984591640886[/C][C]-1.77585395848776[/C][/ROW]
[ROW][C]Median[/C][C]-29.15[/C][C][/C][C][/C][/ROW]
[ROW][C]Midrange[/C][C]102.75[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - Weighted Average at Xnp[/C][C]-21.4701673913044[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - Weighted Average at X(n+1)p[/C][C]-17.8665468085107[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - Empirical Distribution Function[/C][C]-17.8665468085107[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - Empirical Distribution Function - Averaging[/C][C]-17.8665468085107[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - Empirical Distribution Function - Interpolation[/C][C]-18.4961711111111[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - Closest Observation[/C][C]-21.4701673913044[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - True Basic - Statistics Graphics Toolkit[/C][C]-17.8665468085107[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - MS Excel (old versions)[/C][C]-17.8665468085107[/C][C][/C][C][/C][/ROW]
[ROW][C]Number of observations[/C][C]91[/C][C][/C][C][/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=286760&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=286760&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 Mean0.0018934065934066322.09322523279578.57007781098441e-05
Geometric MeanNaN
Harmonic Mean44.477756383587
Quadratic Mean209.594737792767
Winsorized Mean ( 1 / 30 )-1.4519527472527521.4188376085623-0.0677885874942307
Winsorized Mean ( 2 / 30 )-1.0827219780219821.1699899786225-0.0511441894453097
Winsorized Mean ( 3 / 30 )-1.3134912087912121.0008357164511-0.0625447113879509
Winsorized Mean ( 4 / 30 )-2.9882164835164820.1355492534424-0.148405014728149
Winsorized Mean ( 5 / 30 )-2.4772274725274720.0213735254537-0.123729147222498
Winsorized Mean ( 6 / 30 )-2.6552494505494519.8242285323382-0.133939610624347
Winsorized Mean ( 7 / 30 )-3.2860186813186819.6760960614584-0.167005623018651
Winsorized Mean ( 8 / 30 )-2.2574472527472519.3373305892094-0.116740376461628
Winsorized Mean ( 9 / 30 )-1.4068978021977919.165787277671-0.0734067315792914
Winsorized Mean ( 10 / 30 )-4.9673373626373618.48351266759-0.268744229085166
Winsorized Mean ( 11 / 30 )-4.6893153846153818.3360015816528-0.25574361802562
Winsorized Mean ( 12 / 30 )-6.8783263736263717.904051488755-0.384177088518006
Winsorized Mean ( 13 / 30 )-7.3211835164835217.5642990695952-0.416821843415142
Winsorized Mean ( 14 / 30 )-9.5827219780219717.1517846693377-0.558701159253301
Winsorized Mean ( 15 / 30 )-9.0222824175824216.9961257535585-0.530843472706916
Winsorized Mean ( 16 / 30 )-9.4618428571428616.9211825663888-0.55917148934598
Winsorized Mean ( 17 / 30 )-8.2662384615384516.6562251193418-0.496285226833264
Winsorized Mean ( 18 / 30 )-10.540963736263716.2855428506352-0.647258972755251
Winsorized Mean ( 19 / 30 )-11.313491208791215.6630725417687-0.722303441972928
Winsorized Mean ( 20 / 30 )-8.7640406593406514.2233113134807-0.616174424237919
Winsorized Mean ( 21 / 30 )-13.240963736263713.595339600779-0.973934018941687
Winsorized Mean ( 22 / 30 )-11.016787912087913.2095074309806-0.834004444878083
Winsorized Mean ( 23 / 30 )-12.356348351648312.8585667138825-0.960942897182164
Winsorized Mean ( 24 / 30 )-14.334370329670312.4681312646181-1.14968073606573
Winsorized Mean ( 25 / 30 )-17.054150549450511.9577006081946-1.42620651814642
Winsorized Mean ( 26 / 30 )-16.854150549450511.4067685307386-1.47755698768082
Winsorized Mean ( 27 / 30 )-17.032172527472511.3268056942474-1.50370483852501
Winsorized Mean ( 28 / 30 )-16.447557142857210.8097764713055-1.52154461163162
Winsorized Mean ( 29 / 30 )-16.033271428571410.7225931801492-1.49527928171833
Winsorized Mean ( 30 / 30 )-23.55964505494519.70887737105487-2.42660857219018
Trimmed Mean ( 1 / 30 )-2.3070528089887620.9237464499225-0.110260025111197
Trimmed Mean ( 2 / 30 )-3.2014678160919520.3560730048073-0.157273351070017
Trimmed Mean ( 3 / 30 )-4.3356219.8555982339966-0.218357560870494
Trimmed Mean ( 4 / 30 )-5.4400927710843419.3518475992769-0.281114903534462
Trimmed Mean ( 5 / 30 )-6.1287370370370419.0665398743554-0.321439394742002
Trimmed Mean ( 6 / 30 )-6.9699708860759518.7655915700355-0.371422923709234
Trimmed Mean ( 7 / 30 )-7.8198402597402618.4628204831896-0.423545268549853
Trimmed Mean ( 8 / 30 )-8.6057026666666718.1410855440116-0.474376389758408
Trimmed Mean ( 9 / 30 )-9.594917.8328782551363-0.538045505763292
Trimmed Mean ( 10 / 30 )-10.760953521126817.5004747131908-0.614894949850465
Trimmed Mean ( 11 / 30 )-11.525039130434817.2379323449103-0.668585935936668
Trimmed Mean ( 12 / 30 )-12.369070149253716.948319581399-0.729811005147019
Trimmed Mean ( 13 / 30 )-13.009656923076916.6771926377189-0.78008674515475
Trimmed Mean ( 14 / 30 )-13.641709523809516.4066291802073-0.831475458729005
Trimmed Mean ( 15 / 30 )-14.074224590163916.1473050279931-0.871614462336885
Trimmed Mean ( 16 / 30 )-14.593689830508515.8530878803329-0.920558186560812
Trimmed Mean ( 17 / 30 )-15.10574912280715.5016519819002-0.97446060203419
Trimmed Mean ( 18 / 30 )-15.771412727272715.1116037179844-1.04366240814686
Trimmed Mean ( 19 / 30 )-16.270333962264214.6943246351073-1.10725292698321
Trimmed Mean ( 20 / 30 )-16.73583725490214.2873155503279-1.17137730989065
Trimmed Mean ( 21 / 30 )-17.476075510204114.0363983612137-1.24505411291939
Trimmed Mean ( 22 / 30 )-17.866546808510613.8260737169411-1.29223575501545
Trimmed Mean ( 23 / 30 )-18.496171111111113.6126845645792-1.35874529548998
Trimmed Mean ( 24 / 30 )-19.061109302325613.3903270584648-1.42349841188352
Trimmed Mean ( 25 / 30 )-19.498236585365913.1633363149084-1.4812533934336
Trimmed Mean ( 26 / 30 )-19.726351282051312.9534869545865-1.52286031948074
Trimmed Mean ( 27 / 30 )-19.998045945945912.7700712272586-1.56600895876436
Trimmed Mean ( 28 / 30 )-20.283648571428612.5125627650662-1.62106268334242
Trimmed Mean ( 29 / 30 )-20.283648571428612.260349609706-1.65441029147904
Trimmed Mean ( 30 / 30 )-21.129925806451611.8984591640886-1.77585395848776
Median-29.15
Midrange102.75
Midmean - Weighted Average at Xnp-21.4701673913044
Midmean - Weighted Average at X(n+1)p-17.8665468085107
Midmean - Empirical Distribution Function-17.8665468085107
Midmean - Empirical Distribution Function - Averaging-17.8665468085107
Midmean - Empirical Distribution Function - Interpolation-18.4961711111111
Midmean - Closest Observation-21.4701673913044
Midmean - True Basic - Statistics Graphics Toolkit-17.8665468085107
Midmean - MS Excel (old versions)-17.8665468085107
Number of observations91



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')