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Author's title

Author*Unverified author*
R Software Modulerwasp_centraltendency.wasp
Title produced by softwareCentral Tendency
Date of computationWed, 09 Oct 2013 08:18:28 -0400
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2013/Oct/09/t1381321127ahlt95635ekl6bk.htm/, Retrieved Mon, 29 Apr 2024 07:12:01 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=214420, Retrieved Mon, 29 Apr 2024 07:12:01 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact96
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Central Tendency] [] [2013-10-09 12:18:28] [a69cf87a9dee79cf54f729839ea0968e] [Current]
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Dataseries X:
1,58
1,59
1,55
1,52
1,51
1,5
1,56
1,59
1,59
1,59
1,6
1,57
1,55
1,54
1,58
1,57
1,56
1,62
1,59
1,61
1,63
1,74
1,77
1,82
1,78
1,75
1,76
1,72
1,78
1,82
1,91
1,82
1,91
1,81
1,59
1,48
1,47
1,56
1,5
1,47
1,49
1,57
1,57
1,63
1,67
1,61
1,66
1,66
1,72
1,73
1,75
1,74
1,75
1,75
1,71
1,7
1,77
1,81
1,91
1,98
1,96
1,89
1,98
2,02
2,01
1,91
1,94
1,93
1,98
2,01
1,97
1,96
2,11
2,13
2,17
2,17
2,05
1,84
1,87
2,03
2,17
2,17
2,2
2,13




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 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 & 2 seconds \tabularnewline
R Server & 'Sir Maurice George Kendall' @ kendall.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=214420&T=0

[TABLE]
[ROW][C]Summary of computational transaction[/C][/ROW]
[ROW][C]Raw Input[/C][C]view raw input (R code) [/C][/ROW]
[ROW][C]Raw Output[/C][C]view raw output of R engine [/C][/ROW]
[ROW][C]Computing time[/C][C]2 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Sir Maurice George Kendall' @ kendall.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=214420&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=214420&T=0

As an alternative you can also use a QR Code:  

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

Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'Sir Maurice George Kendall' @ kendall.wessa.net







Central Tendency - Ungrouped Data
MeasureValueS.E.Value/S.E.
Arithmetic Mean1.76476190476190.022278086626355279.2151469001907
Geometric Mean1.75340399646224
Harmonic Mean1.74239333312244
Quadratic Mean1.7763948241955
Winsorized Mean ( 1 / 28 )1.764404761904760.022196736249467179.4893781714024
Winsorized Mean ( 2 / 28 )1.764642857142860.022159287761468579.6344573949392
Winsorized Mean ( 3 / 28 )1.7650.02210488480631979.846604742109
Winsorized Mean ( 4 / 28 )1.765476190476190.022034633955924180.1227827976481
Winsorized Mean ( 5 / 28 )1.763095238095240.021526629088419581.9029877299142
Winsorized Mean ( 6 / 28 )1.763809523809520.021423056598954782.3323000460906
Winsorized Mean ( 7 / 28 )1.762976190476190.020967545723411784.0811897459084
Winsorized Mean ( 8 / 28 )1.759166666666670.019624419796820289.6417160293172
Winsorized Mean ( 9 / 28 )1.758095238095240.019106907155433792.0135961196246
Winsorized Mean ( 10 / 28 )1.756904761904760.018905035035622492.9331661430013
Winsorized Mean ( 11 / 28 )1.756904761904760.018517158152002794.8798269951991
Winsorized Mean ( 12 / 28 )1.756904761904760.018517158152002794.8798269951991
Winsorized Mean ( 13 / 28 )1.75226190476190.017776058978839198.5742625431104
Winsorized Mean ( 14 / 28 )1.753928571428570.017562296182243799.8689780213291
Winsorized Mean ( 15 / 28 )1.753928571428570.017562296182243799.8689780213291
Winsorized Mean ( 16 / 28 )1.752023809523810.0172697372777558101.450518982735
Winsorized Mean ( 17 / 28 )1.750.0169649160434879103.154061918965
Winsorized Mean ( 18 / 28 )1.752142857142860.0166948168139134104.95130774257
Winsorized Mean ( 19 / 28 )1.747619047619050.0160281764306092109.034178353665
Winsorized Mean ( 20 / 28 )1.747619047619050.0153890259082762113.562681487149
Winsorized Mean ( 21 / 28 )1.742619047619050.0146885031280532118.638300473985
Winsorized Mean ( 22 / 28 )1.742619047619050.0146885031280532118.638300473985
Winsorized Mean ( 23 / 28 )1.742619047619050.0146885031280532118.638300473985
Winsorized Mean ( 24 / 28 )1.742619047619050.0146885031280532118.638300473985
Winsorized Mean ( 25 / 28 )1.736666666666670.0138835139724005125.088408461939
Winsorized Mean ( 26 / 28 )1.733571428571430.0126763440141775136.75642019754
Winsorized Mean ( 27 / 28 )1.727142857142860.0110462069052173156.356192850879
Winsorized Mean ( 28 / 28 )1.720476190476190.0102449976065519167.933293549615
Trimmed Mean ( 1 / 28 )1.76304878048780.021893702457526780.5276669813193
Trimmed Mean ( 2 / 28 )1.7616250.021539222208669281.7868436907146
Trimmed Mean ( 3 / 28 )1.760.021146776283541383.2278157389794
Trimmed Mean ( 4 / 28 )1.758157894736840.02070910514752184.8978206548584
Trimmed Mean ( 5 / 28 )1.756081081081080.020217090551628286.8612165829001
Trimmed Mean ( 6 / 28 )1.754444444444440.019791448739980288.6465901255796
Trimmed Mean ( 7 / 28 )1.752571428571430.019311852542536390.7510775939911
Trimmed Mean ( 8 / 28 )1.750735294117650.018852409734202292.8653322732239
Trimmed Mean ( 9 / 28 )1.749393939393940.01860631116814294.0215351439076
Trimmed Mean ( 10 / 28 )1.7481250.018410113841762894.954600228187
Trimmed Mean ( 11 / 28 )1.746935483870970.018204125946159595.9637111409632
Trimmed Mean ( 12 / 28 )1.745666666666670.018016575335432896.8922580549203
Trimmed Mean ( 13 / 28 )1.744310344827590.01777576275773398.1285792683499
Trimmed Mean ( 14 / 28 )1.743392857142860.017609171137883499.0048221742941
Trimmed Mean ( 15 / 28 )1.742222222222220.017424423341039599.9873676231679
Trimmed Mean ( 16 / 28 )1.740961538461540.017178987689999101.342498747762
Trimmed Mean ( 17 / 28 )1.73980.0169139237413006102.861998588284
Trimmed Mean ( 18 / 28 )1.738750.0166248366919937104.587493532334
Trimmed Mean ( 19 / 28 )1.737391304347830.0162897519208658106.655479640692
Trimmed Mean ( 20 / 28 )1.736363636363640.0159845687646905108.627493298363
Trimmed Mean ( 21 / 28 )1.73523809523810.0156998490684138110.525781978961
Trimmed Mean ( 22 / 28 )1.73450.0154585881864402112.203001922352
Trimmed Mean ( 23 / 28 )1.733684210526320.0151118214756444114.723709072429
Trimmed Mean ( 24 / 28 )1.732777777777780.0146201161217845118.520110465872
Trimmed Mean ( 25 / 28 )1.731764705882350.0139228238745189124.383151111448
Trimmed Mean ( 26 / 28 )1.731250.0131810439402514131.343921456268
Trimmed Mean ( 27 / 28 )1.7310.0124968961663728138.514394050728
Trimmed Mean ( 28 / 28 )1.731428571428570.0120263630794652143.969424504151
Median1.745
Midrange1.835
Midmean - Weighted Average at Xnp1.73186046511628
Midmean - Weighted Average at X(n+1)p1.73186046511628
Midmean - Empirical Distribution Function1.73186046511628
Midmean - Empirical Distribution Function - Averaging1.73186046511628
Midmean - Empirical Distribution Function - Interpolation1.73186046511628
Midmean - Closest Observation1.73186046511628
Midmean - True Basic - Statistics Graphics Toolkit1.73186046511628
Midmean - MS Excel (old versions)1.73636363636364
Number of observations84

\begin{tabular}{lllllllll}
\hline
Central Tendency - Ungrouped Data \tabularnewline
Measure & Value & S.E. & Value/S.E. \tabularnewline
Arithmetic Mean & 1.7647619047619 & 0.0222780866263552 & 79.2151469001907 \tabularnewline
Geometric Mean & 1.75340399646224 &  &  \tabularnewline
Harmonic Mean & 1.74239333312244 &  &  \tabularnewline
Quadratic Mean & 1.7763948241955 &  &  \tabularnewline
Winsorized Mean ( 1 / 28 ) & 1.76440476190476 & 0.0221967362494671 & 79.4893781714024 \tabularnewline
Winsorized Mean ( 2 / 28 ) & 1.76464285714286 & 0.0221592877614685 & 79.6344573949392 \tabularnewline
Winsorized Mean ( 3 / 28 ) & 1.765 & 0.022104884806319 & 79.846604742109 \tabularnewline
Winsorized Mean ( 4 / 28 ) & 1.76547619047619 & 0.0220346339559241 & 80.1227827976481 \tabularnewline
Winsorized Mean ( 5 / 28 ) & 1.76309523809524 & 0.0215266290884195 & 81.9029877299142 \tabularnewline
Winsorized Mean ( 6 / 28 ) & 1.76380952380952 & 0.0214230565989547 & 82.3323000460906 \tabularnewline
Winsorized Mean ( 7 / 28 ) & 1.76297619047619 & 0.0209675457234117 & 84.0811897459084 \tabularnewline
Winsorized Mean ( 8 / 28 ) & 1.75916666666667 & 0.0196244197968202 & 89.6417160293172 \tabularnewline
Winsorized Mean ( 9 / 28 ) & 1.75809523809524 & 0.0191069071554337 & 92.0135961196246 \tabularnewline
Winsorized Mean ( 10 / 28 ) & 1.75690476190476 & 0.0189050350356224 & 92.9331661430013 \tabularnewline
Winsorized Mean ( 11 / 28 ) & 1.75690476190476 & 0.0185171581520027 & 94.8798269951991 \tabularnewline
Winsorized Mean ( 12 / 28 ) & 1.75690476190476 & 0.0185171581520027 & 94.8798269951991 \tabularnewline
Winsorized Mean ( 13 / 28 ) & 1.7522619047619 & 0.0177760589788391 & 98.5742625431104 \tabularnewline
Winsorized Mean ( 14 / 28 ) & 1.75392857142857 & 0.0175622961822437 & 99.8689780213291 \tabularnewline
Winsorized Mean ( 15 / 28 ) & 1.75392857142857 & 0.0175622961822437 & 99.8689780213291 \tabularnewline
Winsorized Mean ( 16 / 28 ) & 1.75202380952381 & 0.0172697372777558 & 101.450518982735 \tabularnewline
Winsorized Mean ( 17 / 28 ) & 1.75 & 0.0169649160434879 & 103.154061918965 \tabularnewline
Winsorized Mean ( 18 / 28 ) & 1.75214285714286 & 0.0166948168139134 & 104.95130774257 \tabularnewline
Winsorized Mean ( 19 / 28 ) & 1.74761904761905 & 0.0160281764306092 & 109.034178353665 \tabularnewline
Winsorized Mean ( 20 / 28 ) & 1.74761904761905 & 0.0153890259082762 & 113.562681487149 \tabularnewline
Winsorized Mean ( 21 / 28 ) & 1.74261904761905 & 0.0146885031280532 & 118.638300473985 \tabularnewline
Winsorized Mean ( 22 / 28 ) & 1.74261904761905 & 0.0146885031280532 & 118.638300473985 \tabularnewline
Winsorized Mean ( 23 / 28 ) & 1.74261904761905 & 0.0146885031280532 & 118.638300473985 \tabularnewline
Winsorized Mean ( 24 / 28 ) & 1.74261904761905 & 0.0146885031280532 & 118.638300473985 \tabularnewline
Winsorized Mean ( 25 / 28 ) & 1.73666666666667 & 0.0138835139724005 & 125.088408461939 \tabularnewline
Winsorized Mean ( 26 / 28 ) & 1.73357142857143 & 0.0126763440141775 & 136.75642019754 \tabularnewline
Winsorized Mean ( 27 / 28 ) & 1.72714285714286 & 0.0110462069052173 & 156.356192850879 \tabularnewline
Winsorized Mean ( 28 / 28 ) & 1.72047619047619 & 0.0102449976065519 & 167.933293549615 \tabularnewline
Trimmed Mean ( 1 / 28 ) & 1.7630487804878 & 0.0218937024575267 & 80.5276669813193 \tabularnewline
Trimmed Mean ( 2 / 28 ) & 1.761625 & 0.0215392222086692 & 81.7868436907146 \tabularnewline
Trimmed Mean ( 3 / 28 ) & 1.76 & 0.0211467762835413 & 83.2278157389794 \tabularnewline
Trimmed Mean ( 4 / 28 ) & 1.75815789473684 & 0.020709105147521 & 84.8978206548584 \tabularnewline
Trimmed Mean ( 5 / 28 ) & 1.75608108108108 & 0.0202170905516282 & 86.8612165829001 \tabularnewline
Trimmed Mean ( 6 / 28 ) & 1.75444444444444 & 0.0197914487399802 & 88.6465901255796 \tabularnewline
Trimmed Mean ( 7 / 28 ) & 1.75257142857143 & 0.0193118525425363 & 90.7510775939911 \tabularnewline
Trimmed Mean ( 8 / 28 ) & 1.75073529411765 & 0.0188524097342022 & 92.8653322732239 \tabularnewline
Trimmed Mean ( 9 / 28 ) & 1.74939393939394 & 0.018606311168142 & 94.0215351439076 \tabularnewline
Trimmed Mean ( 10 / 28 ) & 1.748125 & 0.0184101138417628 & 94.954600228187 \tabularnewline
Trimmed Mean ( 11 / 28 ) & 1.74693548387097 & 0.0182041259461595 & 95.9637111409632 \tabularnewline
Trimmed Mean ( 12 / 28 ) & 1.74566666666667 & 0.0180165753354328 & 96.8922580549203 \tabularnewline
Trimmed Mean ( 13 / 28 ) & 1.74431034482759 & 0.017775762757733 & 98.1285792683499 \tabularnewline
Trimmed Mean ( 14 / 28 ) & 1.74339285714286 & 0.0176091711378834 & 99.0048221742941 \tabularnewline
Trimmed Mean ( 15 / 28 ) & 1.74222222222222 & 0.0174244233410395 & 99.9873676231679 \tabularnewline
Trimmed Mean ( 16 / 28 ) & 1.74096153846154 & 0.017178987689999 & 101.342498747762 \tabularnewline
Trimmed Mean ( 17 / 28 ) & 1.7398 & 0.0169139237413006 & 102.861998588284 \tabularnewline
Trimmed Mean ( 18 / 28 ) & 1.73875 & 0.0166248366919937 & 104.587493532334 \tabularnewline
Trimmed Mean ( 19 / 28 ) & 1.73739130434783 & 0.0162897519208658 & 106.655479640692 \tabularnewline
Trimmed Mean ( 20 / 28 ) & 1.73636363636364 & 0.0159845687646905 & 108.627493298363 \tabularnewline
Trimmed Mean ( 21 / 28 ) & 1.7352380952381 & 0.0156998490684138 & 110.525781978961 \tabularnewline
Trimmed Mean ( 22 / 28 ) & 1.7345 & 0.0154585881864402 & 112.203001922352 \tabularnewline
Trimmed Mean ( 23 / 28 ) & 1.73368421052632 & 0.0151118214756444 & 114.723709072429 \tabularnewline
Trimmed Mean ( 24 / 28 ) & 1.73277777777778 & 0.0146201161217845 & 118.520110465872 \tabularnewline
Trimmed Mean ( 25 / 28 ) & 1.73176470588235 & 0.0139228238745189 & 124.383151111448 \tabularnewline
Trimmed Mean ( 26 / 28 ) & 1.73125 & 0.0131810439402514 & 131.343921456268 \tabularnewline
Trimmed Mean ( 27 / 28 ) & 1.731 & 0.0124968961663728 & 138.514394050728 \tabularnewline
Trimmed Mean ( 28 / 28 ) & 1.73142857142857 & 0.0120263630794652 & 143.969424504151 \tabularnewline
Median & 1.745 &  &  \tabularnewline
Midrange & 1.835 &  &  \tabularnewline
Midmean - Weighted Average at Xnp & 1.73186046511628 &  &  \tabularnewline
Midmean - Weighted Average at X(n+1)p & 1.73186046511628 &  &  \tabularnewline
Midmean - Empirical Distribution Function & 1.73186046511628 &  &  \tabularnewline
Midmean - Empirical Distribution Function - Averaging & 1.73186046511628 &  &  \tabularnewline
Midmean - Empirical Distribution Function - Interpolation & 1.73186046511628 &  &  \tabularnewline
Midmean - Closest Observation & 1.73186046511628 &  &  \tabularnewline
Midmean - True Basic - Statistics Graphics Toolkit & 1.73186046511628 &  &  \tabularnewline
Midmean - MS Excel (old versions) & 1.73636363636364 &  &  \tabularnewline
Number of observations & 84 &  &  \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=214420&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]1.7647619047619[/C][C]0.0222780866263552[/C][C]79.2151469001907[/C][/ROW]
[ROW][C]Geometric Mean[/C][C]1.75340399646224[/C][C][/C][C][/C][/ROW]
[ROW][C]Harmonic Mean[/C][C]1.74239333312244[/C][C][/C][C][/C][/ROW]
[ROW][C]Quadratic Mean[/C][C]1.7763948241955[/C][C][/C][C][/C][/ROW]
[ROW][C]Winsorized Mean ( 1 / 28 )[/C][C]1.76440476190476[/C][C]0.0221967362494671[/C][C]79.4893781714024[/C][/ROW]
[ROW][C]Winsorized Mean ( 2 / 28 )[/C][C]1.76464285714286[/C][C]0.0221592877614685[/C][C]79.6344573949392[/C][/ROW]
[ROW][C]Winsorized Mean ( 3 / 28 )[/C][C]1.765[/C][C]0.022104884806319[/C][C]79.846604742109[/C][/ROW]
[ROW][C]Winsorized Mean ( 4 / 28 )[/C][C]1.76547619047619[/C][C]0.0220346339559241[/C][C]80.1227827976481[/C][/ROW]
[ROW][C]Winsorized Mean ( 5 / 28 )[/C][C]1.76309523809524[/C][C]0.0215266290884195[/C][C]81.9029877299142[/C][/ROW]
[ROW][C]Winsorized Mean ( 6 / 28 )[/C][C]1.76380952380952[/C][C]0.0214230565989547[/C][C]82.3323000460906[/C][/ROW]
[ROW][C]Winsorized Mean ( 7 / 28 )[/C][C]1.76297619047619[/C][C]0.0209675457234117[/C][C]84.0811897459084[/C][/ROW]
[ROW][C]Winsorized Mean ( 8 / 28 )[/C][C]1.75916666666667[/C][C]0.0196244197968202[/C][C]89.6417160293172[/C][/ROW]
[ROW][C]Winsorized Mean ( 9 / 28 )[/C][C]1.75809523809524[/C][C]0.0191069071554337[/C][C]92.0135961196246[/C][/ROW]
[ROW][C]Winsorized Mean ( 10 / 28 )[/C][C]1.75690476190476[/C][C]0.0189050350356224[/C][C]92.9331661430013[/C][/ROW]
[ROW][C]Winsorized Mean ( 11 / 28 )[/C][C]1.75690476190476[/C][C]0.0185171581520027[/C][C]94.8798269951991[/C][/ROW]
[ROW][C]Winsorized Mean ( 12 / 28 )[/C][C]1.75690476190476[/C][C]0.0185171581520027[/C][C]94.8798269951991[/C][/ROW]
[ROW][C]Winsorized Mean ( 13 / 28 )[/C][C]1.7522619047619[/C][C]0.0177760589788391[/C][C]98.5742625431104[/C][/ROW]
[ROW][C]Winsorized Mean ( 14 / 28 )[/C][C]1.75392857142857[/C][C]0.0175622961822437[/C][C]99.8689780213291[/C][/ROW]
[ROW][C]Winsorized Mean ( 15 / 28 )[/C][C]1.75392857142857[/C][C]0.0175622961822437[/C][C]99.8689780213291[/C][/ROW]
[ROW][C]Winsorized Mean ( 16 / 28 )[/C][C]1.75202380952381[/C][C]0.0172697372777558[/C][C]101.450518982735[/C][/ROW]
[ROW][C]Winsorized Mean ( 17 / 28 )[/C][C]1.75[/C][C]0.0169649160434879[/C][C]103.154061918965[/C][/ROW]
[ROW][C]Winsorized Mean ( 18 / 28 )[/C][C]1.75214285714286[/C][C]0.0166948168139134[/C][C]104.95130774257[/C][/ROW]
[ROW][C]Winsorized Mean ( 19 / 28 )[/C][C]1.74761904761905[/C][C]0.0160281764306092[/C][C]109.034178353665[/C][/ROW]
[ROW][C]Winsorized Mean ( 20 / 28 )[/C][C]1.74761904761905[/C][C]0.0153890259082762[/C][C]113.562681487149[/C][/ROW]
[ROW][C]Winsorized Mean ( 21 / 28 )[/C][C]1.74261904761905[/C][C]0.0146885031280532[/C][C]118.638300473985[/C][/ROW]
[ROW][C]Winsorized Mean ( 22 / 28 )[/C][C]1.74261904761905[/C][C]0.0146885031280532[/C][C]118.638300473985[/C][/ROW]
[ROW][C]Winsorized Mean ( 23 / 28 )[/C][C]1.74261904761905[/C][C]0.0146885031280532[/C][C]118.638300473985[/C][/ROW]
[ROW][C]Winsorized Mean ( 24 / 28 )[/C][C]1.74261904761905[/C][C]0.0146885031280532[/C][C]118.638300473985[/C][/ROW]
[ROW][C]Winsorized Mean ( 25 / 28 )[/C][C]1.73666666666667[/C][C]0.0138835139724005[/C][C]125.088408461939[/C][/ROW]
[ROW][C]Winsorized Mean ( 26 / 28 )[/C][C]1.73357142857143[/C][C]0.0126763440141775[/C][C]136.75642019754[/C][/ROW]
[ROW][C]Winsorized Mean ( 27 / 28 )[/C][C]1.72714285714286[/C][C]0.0110462069052173[/C][C]156.356192850879[/C][/ROW]
[ROW][C]Winsorized Mean ( 28 / 28 )[/C][C]1.72047619047619[/C][C]0.0102449976065519[/C][C]167.933293549615[/C][/ROW]
[ROW][C]Trimmed Mean ( 1 / 28 )[/C][C]1.7630487804878[/C][C]0.0218937024575267[/C][C]80.5276669813193[/C][/ROW]
[ROW][C]Trimmed Mean ( 2 / 28 )[/C][C]1.761625[/C][C]0.0215392222086692[/C][C]81.7868436907146[/C][/ROW]
[ROW][C]Trimmed Mean ( 3 / 28 )[/C][C]1.76[/C][C]0.0211467762835413[/C][C]83.2278157389794[/C][/ROW]
[ROW][C]Trimmed Mean ( 4 / 28 )[/C][C]1.75815789473684[/C][C]0.020709105147521[/C][C]84.8978206548584[/C][/ROW]
[ROW][C]Trimmed Mean ( 5 / 28 )[/C][C]1.75608108108108[/C][C]0.0202170905516282[/C][C]86.8612165829001[/C][/ROW]
[ROW][C]Trimmed Mean ( 6 / 28 )[/C][C]1.75444444444444[/C][C]0.0197914487399802[/C][C]88.6465901255796[/C][/ROW]
[ROW][C]Trimmed Mean ( 7 / 28 )[/C][C]1.75257142857143[/C][C]0.0193118525425363[/C][C]90.7510775939911[/C][/ROW]
[ROW][C]Trimmed Mean ( 8 / 28 )[/C][C]1.75073529411765[/C][C]0.0188524097342022[/C][C]92.8653322732239[/C][/ROW]
[ROW][C]Trimmed Mean ( 9 / 28 )[/C][C]1.74939393939394[/C][C]0.018606311168142[/C][C]94.0215351439076[/C][/ROW]
[ROW][C]Trimmed Mean ( 10 / 28 )[/C][C]1.748125[/C][C]0.0184101138417628[/C][C]94.954600228187[/C][/ROW]
[ROW][C]Trimmed Mean ( 11 / 28 )[/C][C]1.74693548387097[/C][C]0.0182041259461595[/C][C]95.9637111409632[/C][/ROW]
[ROW][C]Trimmed Mean ( 12 / 28 )[/C][C]1.74566666666667[/C][C]0.0180165753354328[/C][C]96.8922580549203[/C][/ROW]
[ROW][C]Trimmed Mean ( 13 / 28 )[/C][C]1.74431034482759[/C][C]0.017775762757733[/C][C]98.1285792683499[/C][/ROW]
[ROW][C]Trimmed Mean ( 14 / 28 )[/C][C]1.74339285714286[/C][C]0.0176091711378834[/C][C]99.0048221742941[/C][/ROW]
[ROW][C]Trimmed Mean ( 15 / 28 )[/C][C]1.74222222222222[/C][C]0.0174244233410395[/C][C]99.9873676231679[/C][/ROW]
[ROW][C]Trimmed Mean ( 16 / 28 )[/C][C]1.74096153846154[/C][C]0.017178987689999[/C][C]101.342498747762[/C][/ROW]
[ROW][C]Trimmed Mean ( 17 / 28 )[/C][C]1.7398[/C][C]0.0169139237413006[/C][C]102.861998588284[/C][/ROW]
[ROW][C]Trimmed Mean ( 18 / 28 )[/C][C]1.73875[/C][C]0.0166248366919937[/C][C]104.587493532334[/C][/ROW]
[ROW][C]Trimmed Mean ( 19 / 28 )[/C][C]1.73739130434783[/C][C]0.0162897519208658[/C][C]106.655479640692[/C][/ROW]
[ROW][C]Trimmed Mean ( 20 / 28 )[/C][C]1.73636363636364[/C][C]0.0159845687646905[/C][C]108.627493298363[/C][/ROW]
[ROW][C]Trimmed Mean ( 21 / 28 )[/C][C]1.7352380952381[/C][C]0.0156998490684138[/C][C]110.525781978961[/C][/ROW]
[ROW][C]Trimmed Mean ( 22 / 28 )[/C][C]1.7345[/C][C]0.0154585881864402[/C][C]112.203001922352[/C][/ROW]
[ROW][C]Trimmed Mean ( 23 / 28 )[/C][C]1.73368421052632[/C][C]0.0151118214756444[/C][C]114.723709072429[/C][/ROW]
[ROW][C]Trimmed Mean ( 24 / 28 )[/C][C]1.73277777777778[/C][C]0.0146201161217845[/C][C]118.520110465872[/C][/ROW]
[ROW][C]Trimmed Mean ( 25 / 28 )[/C][C]1.73176470588235[/C][C]0.0139228238745189[/C][C]124.383151111448[/C][/ROW]
[ROW][C]Trimmed Mean ( 26 / 28 )[/C][C]1.73125[/C][C]0.0131810439402514[/C][C]131.343921456268[/C][/ROW]
[ROW][C]Trimmed Mean ( 27 / 28 )[/C][C]1.731[/C][C]0.0124968961663728[/C][C]138.514394050728[/C][/ROW]
[ROW][C]Trimmed Mean ( 28 / 28 )[/C][C]1.73142857142857[/C][C]0.0120263630794652[/C][C]143.969424504151[/C][/ROW]
[ROW][C]Median[/C][C]1.745[/C][C][/C][C][/C][/ROW]
[ROW][C]Midrange[/C][C]1.835[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - Weighted Average at Xnp[/C][C]1.73186046511628[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - Weighted Average at X(n+1)p[/C][C]1.73186046511628[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - Empirical Distribution Function[/C][C]1.73186046511628[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - Empirical Distribution Function - Averaging[/C][C]1.73186046511628[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - Empirical Distribution Function - Interpolation[/C][C]1.73186046511628[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - Closest Observation[/C][C]1.73186046511628[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - True Basic - Statistics Graphics Toolkit[/C][C]1.73186046511628[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - MS Excel (old versions)[/C][C]1.73636363636364[/C][C][/C][C][/C][/ROW]
[ROW][C]Number of observations[/C][C]84[/C][C][/C][C][/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=214420&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=214420&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 Mean1.76476190476190.022278086626355279.2151469001907
Geometric Mean1.75340399646224
Harmonic Mean1.74239333312244
Quadratic Mean1.7763948241955
Winsorized Mean ( 1 / 28 )1.764404761904760.022196736249467179.4893781714024
Winsorized Mean ( 2 / 28 )1.764642857142860.022159287761468579.6344573949392
Winsorized Mean ( 3 / 28 )1.7650.02210488480631979.846604742109
Winsorized Mean ( 4 / 28 )1.765476190476190.022034633955924180.1227827976481
Winsorized Mean ( 5 / 28 )1.763095238095240.021526629088419581.9029877299142
Winsorized Mean ( 6 / 28 )1.763809523809520.021423056598954782.3323000460906
Winsorized Mean ( 7 / 28 )1.762976190476190.020967545723411784.0811897459084
Winsorized Mean ( 8 / 28 )1.759166666666670.019624419796820289.6417160293172
Winsorized Mean ( 9 / 28 )1.758095238095240.019106907155433792.0135961196246
Winsorized Mean ( 10 / 28 )1.756904761904760.018905035035622492.9331661430013
Winsorized Mean ( 11 / 28 )1.756904761904760.018517158152002794.8798269951991
Winsorized Mean ( 12 / 28 )1.756904761904760.018517158152002794.8798269951991
Winsorized Mean ( 13 / 28 )1.75226190476190.017776058978839198.5742625431104
Winsorized Mean ( 14 / 28 )1.753928571428570.017562296182243799.8689780213291
Winsorized Mean ( 15 / 28 )1.753928571428570.017562296182243799.8689780213291
Winsorized Mean ( 16 / 28 )1.752023809523810.0172697372777558101.450518982735
Winsorized Mean ( 17 / 28 )1.750.0169649160434879103.154061918965
Winsorized Mean ( 18 / 28 )1.752142857142860.0166948168139134104.95130774257
Winsorized Mean ( 19 / 28 )1.747619047619050.0160281764306092109.034178353665
Winsorized Mean ( 20 / 28 )1.747619047619050.0153890259082762113.562681487149
Winsorized Mean ( 21 / 28 )1.742619047619050.0146885031280532118.638300473985
Winsorized Mean ( 22 / 28 )1.742619047619050.0146885031280532118.638300473985
Winsorized Mean ( 23 / 28 )1.742619047619050.0146885031280532118.638300473985
Winsorized Mean ( 24 / 28 )1.742619047619050.0146885031280532118.638300473985
Winsorized Mean ( 25 / 28 )1.736666666666670.0138835139724005125.088408461939
Winsorized Mean ( 26 / 28 )1.733571428571430.0126763440141775136.75642019754
Winsorized Mean ( 27 / 28 )1.727142857142860.0110462069052173156.356192850879
Winsorized Mean ( 28 / 28 )1.720476190476190.0102449976065519167.933293549615
Trimmed Mean ( 1 / 28 )1.76304878048780.021893702457526780.5276669813193
Trimmed Mean ( 2 / 28 )1.7616250.021539222208669281.7868436907146
Trimmed Mean ( 3 / 28 )1.760.021146776283541383.2278157389794
Trimmed Mean ( 4 / 28 )1.758157894736840.02070910514752184.8978206548584
Trimmed Mean ( 5 / 28 )1.756081081081080.020217090551628286.8612165829001
Trimmed Mean ( 6 / 28 )1.754444444444440.019791448739980288.6465901255796
Trimmed Mean ( 7 / 28 )1.752571428571430.019311852542536390.7510775939911
Trimmed Mean ( 8 / 28 )1.750735294117650.018852409734202292.8653322732239
Trimmed Mean ( 9 / 28 )1.749393939393940.01860631116814294.0215351439076
Trimmed Mean ( 10 / 28 )1.7481250.018410113841762894.954600228187
Trimmed Mean ( 11 / 28 )1.746935483870970.018204125946159595.9637111409632
Trimmed Mean ( 12 / 28 )1.745666666666670.018016575335432896.8922580549203
Trimmed Mean ( 13 / 28 )1.744310344827590.01777576275773398.1285792683499
Trimmed Mean ( 14 / 28 )1.743392857142860.017609171137883499.0048221742941
Trimmed Mean ( 15 / 28 )1.742222222222220.017424423341039599.9873676231679
Trimmed Mean ( 16 / 28 )1.740961538461540.017178987689999101.342498747762
Trimmed Mean ( 17 / 28 )1.73980.0169139237413006102.861998588284
Trimmed Mean ( 18 / 28 )1.738750.0166248366919937104.587493532334
Trimmed Mean ( 19 / 28 )1.737391304347830.0162897519208658106.655479640692
Trimmed Mean ( 20 / 28 )1.736363636363640.0159845687646905108.627493298363
Trimmed Mean ( 21 / 28 )1.73523809523810.0156998490684138110.525781978961
Trimmed Mean ( 22 / 28 )1.73450.0154585881864402112.203001922352
Trimmed Mean ( 23 / 28 )1.733684210526320.0151118214756444114.723709072429
Trimmed Mean ( 24 / 28 )1.732777777777780.0146201161217845118.520110465872
Trimmed Mean ( 25 / 28 )1.731764705882350.0139228238745189124.383151111448
Trimmed Mean ( 26 / 28 )1.731250.0131810439402514131.343921456268
Trimmed Mean ( 27 / 28 )1.7310.0124968961663728138.514394050728
Trimmed Mean ( 28 / 28 )1.731428571428570.0120263630794652143.969424504151
Median1.745
Midrange1.835
Midmean - Weighted Average at Xnp1.73186046511628
Midmean - Weighted Average at X(n+1)p1.73186046511628
Midmean - Empirical Distribution Function1.73186046511628
Midmean - Empirical Distribution Function - Averaging1.73186046511628
Midmean - Empirical Distribution Function - Interpolation1.73186046511628
Midmean - Closest Observation1.73186046511628
Midmean - True Basic - Statistics Graphics Toolkit1.73186046511628
Midmean - MS Excel (old versions)1.73636363636364
Number of observations84



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')