Free Statistics

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Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_percentiles.wasp
Title produced by softwarePercentiles
Date of computationTue, 30 Nov 2010 17:04:15 +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/2010/Nov/30/t1291136529behg4npnckbtl62.htm/, Retrieved Mon, 29 Apr 2024 16:04:11 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=103685, Retrieved Mon, 29 Apr 2024 16:04:11 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact123
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Percentiles] [Intrinsic Motivat...] [2010-10-12 12:10:58] [b98453cac15ba1066b407e146608df68]
-    D  [Percentiles] [Intrinsic 2 QQ] [2010-10-19 15:27:08] [247f085ab5b7724f755ad01dc754a3e8]
-    D    [Percentiles] [QQ plot paper] [2010-11-30 16:42:58] [247f085ab5b7724f755ad01dc754a3e8]
-    D        [Percentiles] [QQ plot paper] [2010-11-30 17:04:15] [9d72585f2b7b60ae977d4816136e1c95] [Current]
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Dataseries X:
14731798,37
16471559,62
15213975,95
17637387,4
17972385,83
16896235,55
16697955,94
19691579,52
15930700,75
17444615,98
17699369,88
15189796,81
15672722,75
17180794,3
17664893,45
17862884,98
16162288,88
17463628,82
16772112,17
19106861,48
16721314,25
18161267,85
18509941,2
17802737,97
16409869,75
17967742,04
20286602,27
19537280,81
18021889,62
20194317,23
19049596,62
20244720,94
21473302,24
19673603,19
21053177,29
20159479,84
18203628,31
21289464,94
20432335,71
17180395,07
15816786,32
15071819,75
14521120,61
15668789,39
14346884,11
13881008,13
15465943,69
14238232,92
13557713,21
16127590,29
16793894,2
16014007,43
16867867,15
16014583,21
15878594,85
18664899,14
17962530,06
17332692,2
19542066,35
17203555,19




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'George Udny Yule' @ 72.249.76.132

\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 & 'George Udny Yule' @ 72.249.76.132 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=103685&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]'George Udny Yule' @ 72.249.76.132[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=103685&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=103685&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'George Udny Yule' @ 72.249.76.132







Percentiles - Ungrouped Data
pWeighted Average at XnpWeighted Average at X(n+1)pEmpirical Distribution FunctionEmpirical Distribution Function - AveragingEmpirical Distribution Function - InterpolationClosest ObservationTrue Basic - Statistics Graphics ToolkitMS Excel (old versions)
0.0213622372.19413628838.092413881008.1313881008.1313945308.592213557713.2113809883.247613557713.21
0.0414023898.04614038187.037614238232.9214238232.9214277347.348413881008.1314081054.012413881008.13
0.0614303423.63414309942.705414346884.1114346884.1114440971.8214346884.1114275174.324614346884.11
0.0814486273.3114500212.2314521120.6114521120.6114672808.597214521120.6114367792.4914521120.61
0.114731798.3714765800.50814731798.3714901809.0615037817.61214731798.3715037817.61214731798.37
0.1215095415.16215109572.409215189796.8115189796.8115191731.141215071819.7515152044.150815071819.75
0.1415199468.46615202853.545615213975.9515213975.9515279487.562415189796.8115200919.214415213975.95
0.1615365156.59415405471.432415465943.6915465943.6915555195.79815465943.6915274448.207615465943.69
0.1815628220.2515664732.47615668789.3915668789.3915671228.073215668789.3915470000.60415668789.39
0.215672722.7515701535.46415672722.7515744754.53515787973.60615672722.7515787973.60615672722.75
0.2215829148.02615842745.902615878594.8515878594.8515877358.679415816786.3215852635.267415816786.32
0.2415899437.2115911942.62615930700.7515930700.7515944029.818815878594.8515897352.97415930700.75
0.2615980684.75816002344.494816014007.4316014007.4316014203.195216014007.4315942363.685216014007.43
0.2816014468.05416023623.776416014583.2116014583.2116073346.891616014583.2116118549.723616014583.21
0.316127590.2916137999.86716127590.2916144939.58516151879.30316127590.2916151879.30316127590.29
0.3216211805.05416291030.932416409869.7516409869.7516380160.045616162288.8816281127.697616409869.75
0.3416434545.69816455520.253816471559.6216471559.6216485143.399216409869.7516425909.116216471559.62
0.3616607397.41216688900.087216697955.9416697955.9416703561.934416697955.9416480615.472816697955.94
0.3816716642.58816730457.875616721314.2516721314.2516742649.376416721314.2516762968.544416721314.25
0.416772112.1716780824.98216772112.1716783003.18516785181.38816772112.1716785181.38816772112.17
0.4216808688.7916839757.42916867867.1516867867.1516851593.10116793894.216822003.92116867867.15
0.4416879214.5116891696.60616896235.5516896235.5516895100.81416867867.1516872406.09416896235.55
0.4617066731.26217180419.023817180395.0717180395.0717180450.962217180395.0717180770.346217180395.07
0.4817180714.45417187167.349217180794.317180794.317188077.784817180794.317197182.140817180794.3
0.517203555.1917268123.69517203555.1917268123.69517268123.69517203555.1917268123.69517268123.695
0.5217355076.95617413277.321617444615.9817444615.9817408800.370417332692.217364030.858417444615.98
0.5417452221.11617462488.049617463628.8217463628.8217460967.022417444615.9817445756.750417463628.82
0.5617567883.96817641788.36817637387.417637387.417638487.64217637387.417660492.48217637387.4
0.5817659392.2417677994.493417664893.4517664893.4517672478.264617664893.4517686268.836617664893.45
0.617699369.8817761390.73417699369.8817751053.92517740717.11617699369.8817740717.11617802737.97
0.6217814767.37217852058.518217862884.9817862884.9817837623.235817802737.9717813564.431817862884.98
0.6417902743.01217962738.539217962530.0617962530.0617938615.240817862884.9817967533.560817962530.06
0.6617965657.24817968949.425417967742.0417967742.0417967429.321217967742.0417971178.444617967742.04
0.6817971457.07217996147.649217972385.8317972385.8317978326.284817972385.8317998127.800817972385.83
0.718021889.6218119454.38118021889.6218091578.73518063703.08918021889.6218063703.08918161267.85
0.7218169739.94218200239.473218203628.3118203628.3118181600.870818161267.8518164656.686818203628.31
0.7418326153.46618531635.311618509941.218509941.218405794.817418203628.3118643205.028418509941.2
0.7618602915.96418803390.232818664899.1418664899.1418640105.869618664899.1418911105.527218664899.14
0.7818972657.12419082810.238819049596.6219049596.6219050741.917219049596.6219073647.861219106861.48
0.819106861.4819451196.94419106861.4819322071.14519192945.34619106861.4819192945.34619537280.81
0.8219538237.91819544697.086819542066.3519542066.3519539099.315219537280.8119670972.453219542066.35
0.8419594681.08619677917.509219673603.1919673603.1919615726.980419542066.3519687265.200819673603.19
0.8619684388.98819906813.667219691579.5219691579.5219686905.674219691579.5219944245.692819691579.52
0.8820065899.77620183169.265220159479.8420159479.8420122047.814420159479.8420170627.804820194317.23
0.920194317.2320239680.56920194317.2320219519.08520199357.60120194317.2320199357.60120244720.94
0.9220253097.20620304090.282820286602.2720286602.2720256447.712420244720.9420414847.697220286602.27
0.9420344895.64620643421.847220432335.7120432335.7120353639.652420286602.2720842091.152820432335.71
0.9620804840.65821185498.37421053177.2921053177.2920829674.321221053177.2921157143.85621289464.94
0.9821242207.4121432858.03421289464.9421289464.9421246933.16321289464.9421329909.14621473302.24

\begin{tabular}{lllllllll}
\hline
Percentiles - Ungrouped Data \tabularnewline
p & Weighted Average at Xnp & Weighted Average at X(n+1)p & Empirical Distribution Function & Empirical Distribution Function - Averaging & Empirical Distribution Function - Interpolation & Closest Observation & True Basic - Statistics Graphics Toolkit & MS Excel (old versions) \tabularnewline
0.02 & 13622372.194 & 13628838.0924 & 13881008.13 & 13881008.13 & 13945308.5922 & 13557713.21 & 13809883.2476 & 13557713.21 \tabularnewline
0.04 & 14023898.046 & 14038187.0376 & 14238232.92 & 14238232.92 & 14277347.3484 & 13881008.13 & 14081054.0124 & 13881008.13 \tabularnewline
0.06 & 14303423.634 & 14309942.7054 & 14346884.11 & 14346884.11 & 14440971.82 & 14346884.11 & 14275174.3246 & 14346884.11 \tabularnewline
0.08 & 14486273.31 & 14500212.23 & 14521120.61 & 14521120.61 & 14672808.5972 & 14521120.61 & 14367792.49 & 14521120.61 \tabularnewline
0.1 & 14731798.37 & 14765800.508 & 14731798.37 & 14901809.06 & 15037817.612 & 14731798.37 & 15037817.612 & 14731798.37 \tabularnewline
0.12 & 15095415.162 & 15109572.4092 & 15189796.81 & 15189796.81 & 15191731.1412 & 15071819.75 & 15152044.1508 & 15071819.75 \tabularnewline
0.14 & 15199468.466 & 15202853.5456 & 15213975.95 & 15213975.95 & 15279487.5624 & 15189796.81 & 15200919.2144 & 15213975.95 \tabularnewline
0.16 & 15365156.594 & 15405471.4324 & 15465943.69 & 15465943.69 & 15555195.798 & 15465943.69 & 15274448.2076 & 15465943.69 \tabularnewline
0.18 & 15628220.25 & 15664732.476 & 15668789.39 & 15668789.39 & 15671228.0732 & 15668789.39 & 15470000.604 & 15668789.39 \tabularnewline
0.2 & 15672722.75 & 15701535.464 & 15672722.75 & 15744754.535 & 15787973.606 & 15672722.75 & 15787973.606 & 15672722.75 \tabularnewline
0.22 & 15829148.026 & 15842745.9026 & 15878594.85 & 15878594.85 & 15877358.6794 & 15816786.32 & 15852635.2674 & 15816786.32 \tabularnewline
0.24 & 15899437.21 & 15911942.626 & 15930700.75 & 15930700.75 & 15944029.8188 & 15878594.85 & 15897352.974 & 15930700.75 \tabularnewline
0.26 & 15980684.758 & 16002344.4948 & 16014007.43 & 16014007.43 & 16014203.1952 & 16014007.43 & 15942363.6852 & 16014007.43 \tabularnewline
0.28 & 16014468.054 & 16023623.7764 & 16014583.21 & 16014583.21 & 16073346.8916 & 16014583.21 & 16118549.7236 & 16014583.21 \tabularnewline
0.3 & 16127590.29 & 16137999.867 & 16127590.29 & 16144939.585 & 16151879.303 & 16127590.29 & 16151879.303 & 16127590.29 \tabularnewline
0.32 & 16211805.054 & 16291030.9324 & 16409869.75 & 16409869.75 & 16380160.0456 & 16162288.88 & 16281127.6976 & 16409869.75 \tabularnewline
0.34 & 16434545.698 & 16455520.2538 & 16471559.62 & 16471559.62 & 16485143.3992 & 16409869.75 & 16425909.1162 & 16471559.62 \tabularnewline
0.36 & 16607397.412 & 16688900.0872 & 16697955.94 & 16697955.94 & 16703561.9344 & 16697955.94 & 16480615.4728 & 16697955.94 \tabularnewline
0.38 & 16716642.588 & 16730457.8756 & 16721314.25 & 16721314.25 & 16742649.3764 & 16721314.25 & 16762968.5444 & 16721314.25 \tabularnewline
0.4 & 16772112.17 & 16780824.982 & 16772112.17 & 16783003.185 & 16785181.388 & 16772112.17 & 16785181.388 & 16772112.17 \tabularnewline
0.42 & 16808688.79 & 16839757.429 & 16867867.15 & 16867867.15 & 16851593.101 & 16793894.2 & 16822003.921 & 16867867.15 \tabularnewline
0.44 & 16879214.51 & 16891696.606 & 16896235.55 & 16896235.55 & 16895100.814 & 16867867.15 & 16872406.094 & 16896235.55 \tabularnewline
0.46 & 17066731.262 & 17180419.0238 & 17180395.07 & 17180395.07 & 17180450.9622 & 17180395.07 & 17180770.3462 & 17180395.07 \tabularnewline
0.48 & 17180714.454 & 17187167.3492 & 17180794.3 & 17180794.3 & 17188077.7848 & 17180794.3 & 17197182.1408 & 17180794.3 \tabularnewline
0.5 & 17203555.19 & 17268123.695 & 17203555.19 & 17268123.695 & 17268123.695 & 17203555.19 & 17268123.695 & 17268123.695 \tabularnewline
0.52 & 17355076.956 & 17413277.3216 & 17444615.98 & 17444615.98 & 17408800.3704 & 17332692.2 & 17364030.8584 & 17444615.98 \tabularnewline
0.54 & 17452221.116 & 17462488.0496 & 17463628.82 & 17463628.82 & 17460967.0224 & 17444615.98 & 17445756.7504 & 17463628.82 \tabularnewline
0.56 & 17567883.968 & 17641788.368 & 17637387.4 & 17637387.4 & 17638487.642 & 17637387.4 & 17660492.482 & 17637387.4 \tabularnewline
0.58 & 17659392.24 & 17677994.4934 & 17664893.45 & 17664893.45 & 17672478.2646 & 17664893.45 & 17686268.8366 & 17664893.45 \tabularnewline
0.6 & 17699369.88 & 17761390.734 & 17699369.88 & 17751053.925 & 17740717.116 & 17699369.88 & 17740717.116 & 17802737.97 \tabularnewline
0.62 & 17814767.372 & 17852058.5182 & 17862884.98 & 17862884.98 & 17837623.2358 & 17802737.97 & 17813564.4318 & 17862884.98 \tabularnewline
0.64 & 17902743.012 & 17962738.5392 & 17962530.06 & 17962530.06 & 17938615.2408 & 17862884.98 & 17967533.5608 & 17962530.06 \tabularnewline
0.66 & 17965657.248 & 17968949.4254 & 17967742.04 & 17967742.04 & 17967429.3212 & 17967742.04 & 17971178.4446 & 17967742.04 \tabularnewline
0.68 & 17971457.072 & 17996147.6492 & 17972385.83 & 17972385.83 & 17978326.2848 & 17972385.83 & 17998127.8008 & 17972385.83 \tabularnewline
0.7 & 18021889.62 & 18119454.381 & 18021889.62 & 18091578.735 & 18063703.089 & 18021889.62 & 18063703.089 & 18161267.85 \tabularnewline
0.72 & 18169739.942 & 18200239.4732 & 18203628.31 & 18203628.31 & 18181600.8708 & 18161267.85 & 18164656.6868 & 18203628.31 \tabularnewline
0.74 & 18326153.466 & 18531635.3116 & 18509941.2 & 18509941.2 & 18405794.8174 & 18203628.31 & 18643205.0284 & 18509941.2 \tabularnewline
0.76 & 18602915.964 & 18803390.2328 & 18664899.14 & 18664899.14 & 18640105.8696 & 18664899.14 & 18911105.5272 & 18664899.14 \tabularnewline
0.78 & 18972657.124 & 19082810.2388 & 19049596.62 & 19049596.62 & 19050741.9172 & 19049596.62 & 19073647.8612 & 19106861.48 \tabularnewline
0.8 & 19106861.48 & 19451196.944 & 19106861.48 & 19322071.145 & 19192945.346 & 19106861.48 & 19192945.346 & 19537280.81 \tabularnewline
0.82 & 19538237.918 & 19544697.0868 & 19542066.35 & 19542066.35 & 19539099.3152 & 19537280.81 & 19670972.4532 & 19542066.35 \tabularnewline
0.84 & 19594681.086 & 19677917.5092 & 19673603.19 & 19673603.19 & 19615726.9804 & 19542066.35 & 19687265.2008 & 19673603.19 \tabularnewline
0.86 & 19684388.988 & 19906813.6672 & 19691579.52 & 19691579.52 & 19686905.6742 & 19691579.52 & 19944245.6928 & 19691579.52 \tabularnewline
0.88 & 20065899.776 & 20183169.2652 & 20159479.84 & 20159479.84 & 20122047.8144 & 20159479.84 & 20170627.8048 & 20194317.23 \tabularnewline
0.9 & 20194317.23 & 20239680.569 & 20194317.23 & 20219519.085 & 20199357.601 & 20194317.23 & 20199357.601 & 20244720.94 \tabularnewline
0.92 & 20253097.206 & 20304090.2828 & 20286602.27 & 20286602.27 & 20256447.7124 & 20244720.94 & 20414847.6972 & 20286602.27 \tabularnewline
0.94 & 20344895.646 & 20643421.8472 & 20432335.71 & 20432335.71 & 20353639.6524 & 20286602.27 & 20842091.1528 & 20432335.71 \tabularnewline
0.96 & 20804840.658 & 21185498.374 & 21053177.29 & 21053177.29 & 20829674.3212 & 21053177.29 & 21157143.856 & 21289464.94 \tabularnewline
0.98 & 21242207.41 & 21432858.034 & 21289464.94 & 21289464.94 & 21246933.163 & 21289464.94 & 21329909.146 & 21473302.24 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=103685&T=1

[TABLE]
[ROW][C]Percentiles - Ungrouped Data[/C][/ROW]
[ROW][C]p[/C][C]Weighted Average at Xnp[/C][C]Weighted Average at X(n+1)p[/C][C]Empirical Distribution Function[/C][C]Empirical Distribution Function - Averaging[/C][C]Empirical Distribution Function - Interpolation[/C][C]Closest Observation[/C][C]True Basic - Statistics Graphics Toolkit[/C][C]MS Excel (old versions)[/C][/ROW]
[ROW][C]0.02[/C][C]13622372.194[/C][C]13628838.0924[/C][C]13881008.13[/C][C]13881008.13[/C][C]13945308.5922[/C][C]13557713.21[/C][C]13809883.2476[/C][C]13557713.21[/C][/ROW]
[ROW][C]0.04[/C][C]14023898.046[/C][C]14038187.0376[/C][C]14238232.92[/C][C]14238232.92[/C][C]14277347.3484[/C][C]13881008.13[/C][C]14081054.0124[/C][C]13881008.13[/C][/ROW]
[ROW][C]0.06[/C][C]14303423.634[/C][C]14309942.7054[/C][C]14346884.11[/C][C]14346884.11[/C][C]14440971.82[/C][C]14346884.11[/C][C]14275174.3246[/C][C]14346884.11[/C][/ROW]
[ROW][C]0.08[/C][C]14486273.31[/C][C]14500212.23[/C][C]14521120.61[/C][C]14521120.61[/C][C]14672808.5972[/C][C]14521120.61[/C][C]14367792.49[/C][C]14521120.61[/C][/ROW]
[ROW][C]0.1[/C][C]14731798.37[/C][C]14765800.508[/C][C]14731798.37[/C][C]14901809.06[/C][C]15037817.612[/C][C]14731798.37[/C][C]15037817.612[/C][C]14731798.37[/C][/ROW]
[ROW][C]0.12[/C][C]15095415.162[/C][C]15109572.4092[/C][C]15189796.81[/C][C]15189796.81[/C][C]15191731.1412[/C][C]15071819.75[/C][C]15152044.1508[/C][C]15071819.75[/C][/ROW]
[ROW][C]0.14[/C][C]15199468.466[/C][C]15202853.5456[/C][C]15213975.95[/C][C]15213975.95[/C][C]15279487.5624[/C][C]15189796.81[/C][C]15200919.2144[/C][C]15213975.95[/C][/ROW]
[ROW][C]0.16[/C][C]15365156.594[/C][C]15405471.4324[/C][C]15465943.69[/C][C]15465943.69[/C][C]15555195.798[/C][C]15465943.69[/C][C]15274448.2076[/C][C]15465943.69[/C][/ROW]
[ROW][C]0.18[/C][C]15628220.25[/C][C]15664732.476[/C][C]15668789.39[/C][C]15668789.39[/C][C]15671228.0732[/C][C]15668789.39[/C][C]15470000.604[/C][C]15668789.39[/C][/ROW]
[ROW][C]0.2[/C][C]15672722.75[/C][C]15701535.464[/C][C]15672722.75[/C][C]15744754.535[/C][C]15787973.606[/C][C]15672722.75[/C][C]15787973.606[/C][C]15672722.75[/C][/ROW]
[ROW][C]0.22[/C][C]15829148.026[/C][C]15842745.9026[/C][C]15878594.85[/C][C]15878594.85[/C][C]15877358.6794[/C][C]15816786.32[/C][C]15852635.2674[/C][C]15816786.32[/C][/ROW]
[ROW][C]0.24[/C][C]15899437.21[/C][C]15911942.626[/C][C]15930700.75[/C][C]15930700.75[/C][C]15944029.8188[/C][C]15878594.85[/C][C]15897352.974[/C][C]15930700.75[/C][/ROW]
[ROW][C]0.26[/C][C]15980684.758[/C][C]16002344.4948[/C][C]16014007.43[/C][C]16014007.43[/C][C]16014203.1952[/C][C]16014007.43[/C][C]15942363.6852[/C][C]16014007.43[/C][/ROW]
[ROW][C]0.28[/C][C]16014468.054[/C][C]16023623.7764[/C][C]16014583.21[/C][C]16014583.21[/C][C]16073346.8916[/C][C]16014583.21[/C][C]16118549.7236[/C][C]16014583.21[/C][/ROW]
[ROW][C]0.3[/C][C]16127590.29[/C][C]16137999.867[/C][C]16127590.29[/C][C]16144939.585[/C][C]16151879.303[/C][C]16127590.29[/C][C]16151879.303[/C][C]16127590.29[/C][/ROW]
[ROW][C]0.32[/C][C]16211805.054[/C][C]16291030.9324[/C][C]16409869.75[/C][C]16409869.75[/C][C]16380160.0456[/C][C]16162288.88[/C][C]16281127.6976[/C][C]16409869.75[/C][/ROW]
[ROW][C]0.34[/C][C]16434545.698[/C][C]16455520.2538[/C][C]16471559.62[/C][C]16471559.62[/C][C]16485143.3992[/C][C]16409869.75[/C][C]16425909.1162[/C][C]16471559.62[/C][/ROW]
[ROW][C]0.36[/C][C]16607397.412[/C][C]16688900.0872[/C][C]16697955.94[/C][C]16697955.94[/C][C]16703561.9344[/C][C]16697955.94[/C][C]16480615.4728[/C][C]16697955.94[/C][/ROW]
[ROW][C]0.38[/C][C]16716642.588[/C][C]16730457.8756[/C][C]16721314.25[/C][C]16721314.25[/C][C]16742649.3764[/C][C]16721314.25[/C][C]16762968.5444[/C][C]16721314.25[/C][/ROW]
[ROW][C]0.4[/C][C]16772112.17[/C][C]16780824.982[/C][C]16772112.17[/C][C]16783003.185[/C][C]16785181.388[/C][C]16772112.17[/C][C]16785181.388[/C][C]16772112.17[/C][/ROW]
[ROW][C]0.42[/C][C]16808688.79[/C][C]16839757.429[/C][C]16867867.15[/C][C]16867867.15[/C][C]16851593.101[/C][C]16793894.2[/C][C]16822003.921[/C][C]16867867.15[/C][/ROW]
[ROW][C]0.44[/C][C]16879214.51[/C][C]16891696.606[/C][C]16896235.55[/C][C]16896235.55[/C][C]16895100.814[/C][C]16867867.15[/C][C]16872406.094[/C][C]16896235.55[/C][/ROW]
[ROW][C]0.46[/C][C]17066731.262[/C][C]17180419.0238[/C][C]17180395.07[/C][C]17180395.07[/C][C]17180450.9622[/C][C]17180395.07[/C][C]17180770.3462[/C][C]17180395.07[/C][/ROW]
[ROW][C]0.48[/C][C]17180714.454[/C][C]17187167.3492[/C][C]17180794.3[/C][C]17180794.3[/C][C]17188077.7848[/C][C]17180794.3[/C][C]17197182.1408[/C][C]17180794.3[/C][/ROW]
[ROW][C]0.5[/C][C]17203555.19[/C][C]17268123.695[/C][C]17203555.19[/C][C]17268123.695[/C][C]17268123.695[/C][C]17203555.19[/C][C]17268123.695[/C][C]17268123.695[/C][/ROW]
[ROW][C]0.52[/C][C]17355076.956[/C][C]17413277.3216[/C][C]17444615.98[/C][C]17444615.98[/C][C]17408800.3704[/C][C]17332692.2[/C][C]17364030.8584[/C][C]17444615.98[/C][/ROW]
[ROW][C]0.54[/C][C]17452221.116[/C][C]17462488.0496[/C][C]17463628.82[/C][C]17463628.82[/C][C]17460967.0224[/C][C]17444615.98[/C][C]17445756.7504[/C][C]17463628.82[/C][/ROW]
[ROW][C]0.56[/C][C]17567883.968[/C][C]17641788.368[/C][C]17637387.4[/C][C]17637387.4[/C][C]17638487.642[/C][C]17637387.4[/C][C]17660492.482[/C][C]17637387.4[/C][/ROW]
[ROW][C]0.58[/C][C]17659392.24[/C][C]17677994.4934[/C][C]17664893.45[/C][C]17664893.45[/C][C]17672478.2646[/C][C]17664893.45[/C][C]17686268.8366[/C][C]17664893.45[/C][/ROW]
[ROW][C]0.6[/C][C]17699369.88[/C][C]17761390.734[/C][C]17699369.88[/C][C]17751053.925[/C][C]17740717.116[/C][C]17699369.88[/C][C]17740717.116[/C][C]17802737.97[/C][/ROW]
[ROW][C]0.62[/C][C]17814767.372[/C][C]17852058.5182[/C][C]17862884.98[/C][C]17862884.98[/C][C]17837623.2358[/C][C]17802737.97[/C][C]17813564.4318[/C][C]17862884.98[/C][/ROW]
[ROW][C]0.64[/C][C]17902743.012[/C][C]17962738.5392[/C][C]17962530.06[/C][C]17962530.06[/C][C]17938615.2408[/C][C]17862884.98[/C][C]17967533.5608[/C][C]17962530.06[/C][/ROW]
[ROW][C]0.66[/C][C]17965657.248[/C][C]17968949.4254[/C][C]17967742.04[/C][C]17967742.04[/C][C]17967429.3212[/C][C]17967742.04[/C][C]17971178.4446[/C][C]17967742.04[/C][/ROW]
[ROW][C]0.68[/C][C]17971457.072[/C][C]17996147.6492[/C][C]17972385.83[/C][C]17972385.83[/C][C]17978326.2848[/C][C]17972385.83[/C][C]17998127.8008[/C][C]17972385.83[/C][/ROW]
[ROW][C]0.7[/C][C]18021889.62[/C][C]18119454.381[/C][C]18021889.62[/C][C]18091578.735[/C][C]18063703.089[/C][C]18021889.62[/C][C]18063703.089[/C][C]18161267.85[/C][/ROW]
[ROW][C]0.72[/C][C]18169739.942[/C][C]18200239.4732[/C][C]18203628.31[/C][C]18203628.31[/C][C]18181600.8708[/C][C]18161267.85[/C][C]18164656.6868[/C][C]18203628.31[/C][/ROW]
[ROW][C]0.74[/C][C]18326153.466[/C][C]18531635.3116[/C][C]18509941.2[/C][C]18509941.2[/C][C]18405794.8174[/C][C]18203628.31[/C][C]18643205.0284[/C][C]18509941.2[/C][/ROW]
[ROW][C]0.76[/C][C]18602915.964[/C][C]18803390.2328[/C][C]18664899.14[/C][C]18664899.14[/C][C]18640105.8696[/C][C]18664899.14[/C][C]18911105.5272[/C][C]18664899.14[/C][/ROW]
[ROW][C]0.78[/C][C]18972657.124[/C][C]19082810.2388[/C][C]19049596.62[/C][C]19049596.62[/C][C]19050741.9172[/C][C]19049596.62[/C][C]19073647.8612[/C][C]19106861.48[/C][/ROW]
[ROW][C]0.8[/C][C]19106861.48[/C][C]19451196.944[/C][C]19106861.48[/C][C]19322071.145[/C][C]19192945.346[/C][C]19106861.48[/C][C]19192945.346[/C][C]19537280.81[/C][/ROW]
[ROW][C]0.82[/C][C]19538237.918[/C][C]19544697.0868[/C][C]19542066.35[/C][C]19542066.35[/C][C]19539099.3152[/C][C]19537280.81[/C][C]19670972.4532[/C][C]19542066.35[/C][/ROW]
[ROW][C]0.84[/C][C]19594681.086[/C][C]19677917.5092[/C][C]19673603.19[/C][C]19673603.19[/C][C]19615726.9804[/C][C]19542066.35[/C][C]19687265.2008[/C][C]19673603.19[/C][/ROW]
[ROW][C]0.86[/C][C]19684388.988[/C][C]19906813.6672[/C][C]19691579.52[/C][C]19691579.52[/C][C]19686905.6742[/C][C]19691579.52[/C][C]19944245.6928[/C][C]19691579.52[/C][/ROW]
[ROW][C]0.88[/C][C]20065899.776[/C][C]20183169.2652[/C][C]20159479.84[/C][C]20159479.84[/C][C]20122047.8144[/C][C]20159479.84[/C][C]20170627.8048[/C][C]20194317.23[/C][/ROW]
[ROW][C]0.9[/C][C]20194317.23[/C][C]20239680.569[/C][C]20194317.23[/C][C]20219519.085[/C][C]20199357.601[/C][C]20194317.23[/C][C]20199357.601[/C][C]20244720.94[/C][/ROW]
[ROW][C]0.92[/C][C]20253097.206[/C][C]20304090.2828[/C][C]20286602.27[/C][C]20286602.27[/C][C]20256447.7124[/C][C]20244720.94[/C][C]20414847.6972[/C][C]20286602.27[/C][/ROW]
[ROW][C]0.94[/C][C]20344895.646[/C][C]20643421.8472[/C][C]20432335.71[/C][C]20432335.71[/C][C]20353639.6524[/C][C]20286602.27[/C][C]20842091.1528[/C][C]20432335.71[/C][/ROW]
[ROW][C]0.96[/C][C]20804840.658[/C][C]21185498.374[/C][C]21053177.29[/C][C]21053177.29[/C][C]20829674.3212[/C][C]21053177.29[/C][C]21157143.856[/C][C]21289464.94[/C][/ROW]
[ROW][C]0.98[/C][C]21242207.41[/C][C]21432858.034[/C][C]21289464.94[/C][C]21289464.94[/C][C]21246933.163[/C][C]21289464.94[/C][C]21329909.146[/C][C]21473302.24[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=103685&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=103685&T=1

As an alternative you can also use a QR Code:  

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

Percentiles - Ungrouped Data
pWeighted Average at XnpWeighted Average at X(n+1)pEmpirical Distribution FunctionEmpirical Distribution Function - AveragingEmpirical Distribution Function - InterpolationClosest ObservationTrue Basic - Statistics Graphics ToolkitMS Excel (old versions)
0.0213622372.19413628838.092413881008.1313881008.1313945308.592213557713.2113809883.247613557713.21
0.0414023898.04614038187.037614238232.9214238232.9214277347.348413881008.1314081054.012413881008.13
0.0614303423.63414309942.705414346884.1114346884.1114440971.8214346884.1114275174.324614346884.11
0.0814486273.3114500212.2314521120.6114521120.6114672808.597214521120.6114367792.4914521120.61
0.114731798.3714765800.50814731798.3714901809.0615037817.61214731798.3715037817.61214731798.37
0.1215095415.16215109572.409215189796.8115189796.8115191731.141215071819.7515152044.150815071819.75
0.1415199468.46615202853.545615213975.9515213975.9515279487.562415189796.8115200919.214415213975.95
0.1615365156.59415405471.432415465943.6915465943.6915555195.79815465943.6915274448.207615465943.69
0.1815628220.2515664732.47615668789.3915668789.3915671228.073215668789.3915470000.60415668789.39
0.215672722.7515701535.46415672722.7515744754.53515787973.60615672722.7515787973.60615672722.75
0.2215829148.02615842745.902615878594.8515878594.8515877358.679415816786.3215852635.267415816786.32
0.2415899437.2115911942.62615930700.7515930700.7515944029.818815878594.8515897352.97415930700.75
0.2615980684.75816002344.494816014007.4316014007.4316014203.195216014007.4315942363.685216014007.43
0.2816014468.05416023623.776416014583.2116014583.2116073346.891616014583.2116118549.723616014583.21
0.316127590.2916137999.86716127590.2916144939.58516151879.30316127590.2916151879.30316127590.29
0.3216211805.05416291030.932416409869.7516409869.7516380160.045616162288.8816281127.697616409869.75
0.3416434545.69816455520.253816471559.6216471559.6216485143.399216409869.7516425909.116216471559.62
0.3616607397.41216688900.087216697955.9416697955.9416703561.934416697955.9416480615.472816697955.94
0.3816716642.58816730457.875616721314.2516721314.2516742649.376416721314.2516762968.544416721314.25
0.416772112.1716780824.98216772112.1716783003.18516785181.38816772112.1716785181.38816772112.17
0.4216808688.7916839757.42916867867.1516867867.1516851593.10116793894.216822003.92116867867.15
0.4416879214.5116891696.60616896235.5516896235.5516895100.81416867867.1516872406.09416896235.55
0.4617066731.26217180419.023817180395.0717180395.0717180450.962217180395.0717180770.346217180395.07
0.4817180714.45417187167.349217180794.317180794.317188077.784817180794.317197182.140817180794.3
0.517203555.1917268123.69517203555.1917268123.69517268123.69517203555.1917268123.69517268123.695
0.5217355076.95617413277.321617444615.9817444615.9817408800.370417332692.217364030.858417444615.98
0.5417452221.11617462488.049617463628.8217463628.8217460967.022417444615.9817445756.750417463628.82
0.5617567883.96817641788.36817637387.417637387.417638487.64217637387.417660492.48217637387.4
0.5817659392.2417677994.493417664893.4517664893.4517672478.264617664893.4517686268.836617664893.45
0.617699369.8817761390.73417699369.8817751053.92517740717.11617699369.8817740717.11617802737.97
0.6217814767.37217852058.518217862884.9817862884.9817837623.235817802737.9717813564.431817862884.98
0.6417902743.01217962738.539217962530.0617962530.0617938615.240817862884.9817967533.560817962530.06
0.6617965657.24817968949.425417967742.0417967742.0417967429.321217967742.0417971178.444617967742.04
0.6817971457.07217996147.649217972385.8317972385.8317978326.284817972385.8317998127.800817972385.83
0.718021889.6218119454.38118021889.6218091578.73518063703.08918021889.6218063703.08918161267.85
0.7218169739.94218200239.473218203628.3118203628.3118181600.870818161267.8518164656.686818203628.31
0.7418326153.46618531635.311618509941.218509941.218405794.817418203628.3118643205.028418509941.2
0.7618602915.96418803390.232818664899.1418664899.1418640105.869618664899.1418911105.527218664899.14
0.7818972657.12419082810.238819049596.6219049596.6219050741.917219049596.6219073647.861219106861.48
0.819106861.4819451196.94419106861.4819322071.14519192945.34619106861.4819192945.34619537280.81
0.8219538237.91819544697.086819542066.3519542066.3519539099.315219537280.8119670972.453219542066.35
0.8419594681.08619677917.509219673603.1919673603.1919615726.980419542066.3519687265.200819673603.19
0.8619684388.98819906813.667219691579.5219691579.5219686905.674219691579.5219944245.692819691579.52
0.8820065899.77620183169.265220159479.8420159479.8420122047.814420159479.8420170627.804820194317.23
0.920194317.2320239680.56920194317.2320219519.08520199357.60120194317.2320199357.60120244720.94
0.9220253097.20620304090.282820286602.2720286602.2720256447.712420244720.9420414847.697220286602.27
0.9420344895.64620643421.847220432335.7120432335.7120353639.652420286602.2720842091.152820432335.71
0.9620804840.65821185498.37421053177.2921053177.2920829674.321221053177.2921157143.85621289464.94
0.9821242207.4121432858.03421289464.9421289464.9421246933.16321289464.9421329909.14621473302.24



Parameters (Session):
Parameters (R input):
R code (references can be found in the software module):
x <-sort(x[!is.na(x)])
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]
}
}
}
}
lx <- length(x)
qval <- array(NA,dim=c(99,8))
mystep <- 25
mystart <- 25
if (lx>10){
mystep=10
mystart=10
}
if (lx>20){
mystep=5
mystart=5
}
if (lx>50){
mystep=2
mystart=2
}
if (lx>=100){
mystep=1
mystart=1
}
for (perc in seq(mystart,99,mystep)) {
qval[perc,1] <- q1(x,lx,perc/100,i,f)
qval[perc,2] <- q2(x,lx,perc/100,i,f)
qval[perc,3] <- q3(x,lx,perc/100,i,f)
qval[perc,4] <- q4(x,lx,perc/100,i,f)
qval[perc,5] <- q5(x,lx,perc/100,i,f)
qval[perc,6] <- q6(x,lx,perc/100,i,f)
qval[perc,7] <- q7(x,lx,perc/100,i,f)
qval[perc,8] <- q8(x,lx,perc/100,i,f)
}
bitmap(file='test1.png')
myqqnorm <- qqnorm(x,col=2)
qqline(x)
grid()
dev.off()
load(file='createtable')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Percentiles - Ungrouped Data',9,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'p',1,TRUE)
a<-table.element(a,hyperlink('method_1.htm', 'Weighted Average at Xnp',''),1,TRUE)
a<-table.element(a,hyperlink('method_2.htm','Weighted Average at X(n+1)p',''),1,TRUE)
a<-table.element(a,hyperlink('method_3.htm','Empirical Distribution Function',''),1,TRUE)
a<-table.element(a,hyperlink('method_4.htm','Empirical Distribution Function - Averaging',''),1,TRUE)
a<-table.element(a,hyperlink('method_5.htm','Empirical Distribution Function - Interpolation',''),1,TRUE)
a<-table.element(a,hyperlink('method_6.htm','Closest Observation',''),1,TRUE)
a<-table.element(a,hyperlink('method_7.htm','True Basic - Statistics Graphics Toolkit',''),1,TRUE)
a<-table.element(a,hyperlink('method_8.htm','MS Excel (old versions)',''),1,TRUE)
a<-table.row.end(a)
for (perc in seq(mystart,99,mystep)) {
a<-table.row.start(a)
a<-table.element(a,round(perc/100,2),1,TRUE)
for (j in 1:8) {
a<-table.element(a,round(qval[perc,j],6))
}
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable.tab')