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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 16:42:58 +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/t1291135515we6z4mhibghjivk.htm/, Retrieved Mon, 29 Apr 2024 10:51:44 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=103667, Retrieved Mon, 29 Apr 2024 10:51:44 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact115
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] [9d72585f2b7b60ae977d4816136e1c95] [Current]
-    D        [Percentiles] [QQ plot paper] [2010-11-30 17:04:15] [247f085ab5b7724f755ad01dc754a3e8]
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Dataseries X:
13768040,14
17487530,67
16198106,13
17535166,38
16571771,60
16198892,67
16554237,93
19554176,37
15903762,33
18003781,65
18329610,38
16260733,42
14851949,20
18174068,44
18406552,23
18466459,42
16016524,60
17428458,32
17167191,42
19629987,60
17183629,01
18344657,85
19301440,71
18147463,68
16192909,22
18374420,60
20515191,95
18957217,20
16471529,53
18746813,27
19009453,59
19211178,55
20547653,75
19325754,03
20605542,58
20056915,06
16141449,72
20359793,22
19711553,27
15638580,70
14384486,00
13855616,12
14308336,46
15290621,44
14423755,53
13779681,49
15686348,94
14733828,17
12522497,94
16189383,57
16059123,25
16007123,26
15806842,33
15159951,13
15692144,17
18908869,11
16969881,42
16997477,78
19858875,65
17681170,13




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=103667&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=103667&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=103667&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)
0.0212771606.3812796517.22413768040.1413768040.1413770135.58312522497.9413494020.85612522497.94
0.0413772696.6813773162.33413779681.4913779681.4913807017.956813768040.1413774559.29613768040.14
0.0613825242.26813829798.345813855616.1213855616.1214100085.103613855616.1213805499.264213855616.12
0.0814217792.39214254010.019214308336.4614308336.4614363164.128814308336.4613909942.560814308336.46
0.11438448614388412.9531438448614404120.76514419828.5771438448614419828.57714384486
0.1214485770.05814522978.774814733828.1714733828.1714743277.852414423755.5314634604.925214423755.53
0.1414781076.58214797613.526214851949.214851949.214932029.701814733828.1714788163.843814851949.2
0.1615036750.35815086030.666815159951.1315159951.1315217446.066415159951.1314925869.663215159951.13
0.1815264487.37815288008.033815290621.4415290621.4415506356.181215290621.4415162564.536215290621.44
0.215638580.715648134.34815638580.715662464.8215676795.29215638580.715676795.29215638580.7
0.2215687507.98615688782.936615692144.1715692144.1715692028.265415686348.9415689710.173415686348.94
0.2415738023.43415765550.992415806842.3315806842.3315822349.5315692144.1715733435.507615806842.33
0.2615864994.3315890193.5315903762.3315903762.3315938905.046215903762.3315820411.1315903762.33
0.2815986451.07416007875.367216007123.2616007123.2616012011.956816007123.2616015772.492816007123.26
0.316016524.616029304.19516016524.616037823.92516046343.65516016524.616046343.65516016524.6
0.3216075588.54416101933.014416141449.7216141449.7216131570.543616059123.2516098639.955616141449.72
0.3416160623.2616176920.76916189383.5716189383.5716189595.10916141449.7216153912.52116189383.57
0.3616191498.9616192768.19416192909.2216192909.2216194156.478416192909.2216189524.59616192909.22
0.3816197066.74816198247.707216198106.1316198106.1316198436.476816198106.1316198751.092816198106.13
0.416198892.6716223628.9716198892.6716229813.04516235997.1216198892.6716235997.1216198892.67
0.4216302892.64216391427.008216471529.5316471529.5316425154.385816260733.4216340835.941816471529.53
0.4416504612.8916541004.58616554237.9316554237.9316550929.59416471529.5316484762.87416554237.93
0.4616564758.13216595658.189216571771.616571771.616627506.974816571771.616945994.830816571771.6
0.4816890259.45616977608.400816969881.4216969881.4216978712.255216969881.4216989750.799216969881.42
0.516997477.7817082334.616997477.7817082334.617082334.616997477.7817082334.617082334.6
0.5217170478.93817179026.484817183629.0117183629.0117178368.981217167191.4217171793.945217183629.01
0.5417281560.73417413768.561417428458.3217428458.3217394182.216617183629.0117198318.768617428458.32
0.5617463901.7317495152.383617487530.6717487530.6717489436.098417487530.6717527544.666417487530.67
0.5817525639.23817590647.80517535166.3817535166.3817567287.20517535166.3817625688.70517535166.38
0.617681170.1317874737.04217681170.1317842475.8917810214.73817681170.1317810214.73818003781.65
0.6218032518.05618121600.914618147463.6818147463.6818087117.227418003781.6518029644.415418147463.68
0.6418158105.58418180290.117618174068.4418174068.4418167683.297618147463.6818323388.702418174068.44
0.6618267393.60418333522.722218329610.3818329610.3818320277.863618329610.3818340745.507818329610.38
0.6818341648.35618358943.9718344657.8518344657.8518348229.3818344657.8518360134.4818344657.85
0.718374420.618396912.74118374420.618390486.41518384060.08918374420.618384060.08918406552.23
0.7218418533.66818461666.844818466459.4218466459.4218435307.681218406552.2318411344.805218466459.42
0.7418578600.9618769501.087618746813.2718746813.2718651492.96118466459.4218886181.292418746813.27
0.7618844046.77418926274.422418908869.1118908869.1118882940.175618908869.1118939811.887618908869.11
0.7818947547.58218987514.306218957217.218957217.218958261.927818957217.218979156.483819009453.59
0.819009453.5919170833.55819009453.5919110316.0719049798.58219009453.5919049798.58219211178.55
0.8219229230.98219301926.976419301440.7119301440.7119245478.170819211178.5519325267.763619301440.71
0.8419311166.03819380575.391619325754.0319325754.0319315056.169219301440.7119499355.008419325754.03
0.8619462807.43419589049.535819554176.3719554176.3719494786.561619554176.3719595114.434219554176.37
0.8819614825.35419685452.255619629987.619629987.619623922.701619629987.619656088.614419711553.27
0.919711553.2719844143.41219711553.2719785214.4619726285.50819711553.2719726285.50819858875.65
0.9219898483.53220093260.439220056915.0620056915.0619914326.684819858875.6520323447.840820056915.06
0.9420178066.32420412628.788220359793.2220359793.2220196239.013620056915.0620462356.381820359793.22
0.9620453032.45820533370.55820515191.9520515191.9520459248.407220515191.9520529475.14220547653.75
0.9820541161.3920592807.037420547653.7520547653.7520541810.62620547653.7520560389.292620605542.58

\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 & 12771606.38 & 12796517.224 & 13768040.14 & 13768040.14 & 13770135.583 & 12522497.94 & 13494020.856 & 12522497.94 \tabularnewline
0.04 & 13772696.68 & 13773162.334 & 13779681.49 & 13779681.49 & 13807017.9568 & 13768040.14 & 13774559.296 & 13768040.14 \tabularnewline
0.06 & 13825242.268 & 13829798.3458 & 13855616.12 & 13855616.12 & 14100085.1036 & 13855616.12 & 13805499.2642 & 13855616.12 \tabularnewline
0.08 & 14217792.392 & 14254010.0192 & 14308336.46 & 14308336.46 & 14363164.1288 & 14308336.46 & 13909942.5608 & 14308336.46 \tabularnewline
0.1 & 14384486 & 14388412.953 & 14384486 & 14404120.765 & 14419828.577 & 14384486 & 14419828.577 & 14384486 \tabularnewline
0.12 & 14485770.058 & 14522978.7748 & 14733828.17 & 14733828.17 & 14743277.8524 & 14423755.53 & 14634604.9252 & 14423755.53 \tabularnewline
0.14 & 14781076.582 & 14797613.5262 & 14851949.2 & 14851949.2 & 14932029.7018 & 14733828.17 & 14788163.8438 & 14851949.2 \tabularnewline
0.16 & 15036750.358 & 15086030.6668 & 15159951.13 & 15159951.13 & 15217446.0664 & 15159951.13 & 14925869.6632 & 15159951.13 \tabularnewline
0.18 & 15264487.378 & 15288008.0338 & 15290621.44 & 15290621.44 & 15506356.1812 & 15290621.44 & 15162564.5362 & 15290621.44 \tabularnewline
0.2 & 15638580.7 & 15648134.348 & 15638580.7 & 15662464.82 & 15676795.292 & 15638580.7 & 15676795.292 & 15638580.7 \tabularnewline
0.22 & 15687507.986 & 15688782.9366 & 15692144.17 & 15692144.17 & 15692028.2654 & 15686348.94 & 15689710.1734 & 15686348.94 \tabularnewline
0.24 & 15738023.434 & 15765550.9924 & 15806842.33 & 15806842.33 & 15822349.53 & 15692144.17 & 15733435.5076 & 15806842.33 \tabularnewline
0.26 & 15864994.33 & 15890193.53 & 15903762.33 & 15903762.33 & 15938905.0462 & 15903762.33 & 15820411.13 & 15903762.33 \tabularnewline
0.28 & 15986451.074 & 16007875.3672 & 16007123.26 & 16007123.26 & 16012011.9568 & 16007123.26 & 16015772.4928 & 16007123.26 \tabularnewline
0.3 & 16016524.6 & 16029304.195 & 16016524.6 & 16037823.925 & 16046343.655 & 16016524.6 & 16046343.655 & 16016524.6 \tabularnewline
0.32 & 16075588.544 & 16101933.0144 & 16141449.72 & 16141449.72 & 16131570.5436 & 16059123.25 & 16098639.9556 & 16141449.72 \tabularnewline
0.34 & 16160623.26 & 16176920.769 & 16189383.57 & 16189383.57 & 16189595.109 & 16141449.72 & 16153912.521 & 16189383.57 \tabularnewline
0.36 & 16191498.96 & 16192768.194 & 16192909.22 & 16192909.22 & 16194156.4784 & 16192909.22 & 16189524.596 & 16192909.22 \tabularnewline
0.38 & 16197066.748 & 16198247.7072 & 16198106.13 & 16198106.13 & 16198436.4768 & 16198106.13 & 16198751.0928 & 16198106.13 \tabularnewline
0.4 & 16198892.67 & 16223628.97 & 16198892.67 & 16229813.045 & 16235997.12 & 16198892.67 & 16235997.12 & 16198892.67 \tabularnewline
0.42 & 16302892.642 & 16391427.0082 & 16471529.53 & 16471529.53 & 16425154.3858 & 16260733.42 & 16340835.9418 & 16471529.53 \tabularnewline
0.44 & 16504612.89 & 16541004.586 & 16554237.93 & 16554237.93 & 16550929.594 & 16471529.53 & 16484762.874 & 16554237.93 \tabularnewline
0.46 & 16564758.132 & 16595658.1892 & 16571771.6 & 16571771.6 & 16627506.9748 & 16571771.6 & 16945994.8308 & 16571771.6 \tabularnewline
0.48 & 16890259.456 & 16977608.4008 & 16969881.42 & 16969881.42 & 16978712.2552 & 16969881.42 & 16989750.7992 & 16969881.42 \tabularnewline
0.5 & 16997477.78 & 17082334.6 & 16997477.78 & 17082334.6 & 17082334.6 & 16997477.78 & 17082334.6 & 17082334.6 \tabularnewline
0.52 & 17170478.938 & 17179026.4848 & 17183629.01 & 17183629.01 & 17178368.9812 & 17167191.42 & 17171793.9452 & 17183629.01 \tabularnewline
0.54 & 17281560.734 & 17413768.5614 & 17428458.32 & 17428458.32 & 17394182.2166 & 17183629.01 & 17198318.7686 & 17428458.32 \tabularnewline
0.56 & 17463901.73 & 17495152.3836 & 17487530.67 & 17487530.67 & 17489436.0984 & 17487530.67 & 17527544.6664 & 17487530.67 \tabularnewline
0.58 & 17525639.238 & 17590647.805 & 17535166.38 & 17535166.38 & 17567287.205 & 17535166.38 & 17625688.705 & 17535166.38 \tabularnewline
0.6 & 17681170.13 & 17874737.042 & 17681170.13 & 17842475.89 & 17810214.738 & 17681170.13 & 17810214.738 & 18003781.65 \tabularnewline
0.62 & 18032518.056 & 18121600.9146 & 18147463.68 & 18147463.68 & 18087117.2274 & 18003781.65 & 18029644.4154 & 18147463.68 \tabularnewline
0.64 & 18158105.584 & 18180290.1176 & 18174068.44 & 18174068.44 & 18167683.2976 & 18147463.68 & 18323388.7024 & 18174068.44 \tabularnewline
0.66 & 18267393.604 & 18333522.7222 & 18329610.38 & 18329610.38 & 18320277.8636 & 18329610.38 & 18340745.5078 & 18329610.38 \tabularnewline
0.68 & 18341648.356 & 18358943.97 & 18344657.85 & 18344657.85 & 18348229.38 & 18344657.85 & 18360134.48 & 18344657.85 \tabularnewline
0.7 & 18374420.6 & 18396912.741 & 18374420.6 & 18390486.415 & 18384060.089 & 18374420.6 & 18384060.089 & 18406552.23 \tabularnewline
0.72 & 18418533.668 & 18461666.8448 & 18466459.42 & 18466459.42 & 18435307.6812 & 18406552.23 & 18411344.8052 & 18466459.42 \tabularnewline
0.74 & 18578600.96 & 18769501.0876 & 18746813.27 & 18746813.27 & 18651492.961 & 18466459.42 & 18886181.2924 & 18746813.27 \tabularnewline
0.76 & 18844046.774 & 18926274.4224 & 18908869.11 & 18908869.11 & 18882940.1756 & 18908869.11 & 18939811.8876 & 18908869.11 \tabularnewline
0.78 & 18947547.582 & 18987514.3062 & 18957217.2 & 18957217.2 & 18958261.9278 & 18957217.2 & 18979156.4838 & 19009453.59 \tabularnewline
0.8 & 19009453.59 & 19170833.558 & 19009453.59 & 19110316.07 & 19049798.582 & 19009453.59 & 19049798.582 & 19211178.55 \tabularnewline
0.82 & 19229230.982 & 19301926.9764 & 19301440.71 & 19301440.71 & 19245478.1708 & 19211178.55 & 19325267.7636 & 19301440.71 \tabularnewline
0.84 & 19311166.038 & 19380575.3916 & 19325754.03 & 19325754.03 & 19315056.1692 & 19301440.71 & 19499355.0084 & 19325754.03 \tabularnewline
0.86 & 19462807.434 & 19589049.5358 & 19554176.37 & 19554176.37 & 19494786.5616 & 19554176.37 & 19595114.4342 & 19554176.37 \tabularnewline
0.88 & 19614825.354 & 19685452.2556 & 19629987.6 & 19629987.6 & 19623922.7016 & 19629987.6 & 19656088.6144 & 19711553.27 \tabularnewline
0.9 & 19711553.27 & 19844143.412 & 19711553.27 & 19785214.46 & 19726285.508 & 19711553.27 & 19726285.508 & 19858875.65 \tabularnewline
0.92 & 19898483.532 & 20093260.4392 & 20056915.06 & 20056915.06 & 19914326.6848 & 19858875.65 & 20323447.8408 & 20056915.06 \tabularnewline
0.94 & 20178066.324 & 20412628.7882 & 20359793.22 & 20359793.22 & 20196239.0136 & 20056915.06 & 20462356.3818 & 20359793.22 \tabularnewline
0.96 & 20453032.458 & 20533370.558 & 20515191.95 & 20515191.95 & 20459248.4072 & 20515191.95 & 20529475.142 & 20547653.75 \tabularnewline
0.98 & 20541161.39 & 20592807.0374 & 20547653.75 & 20547653.75 & 20541810.626 & 20547653.75 & 20560389.2926 & 20605542.58 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=103667&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]12771606.38[/C][C]12796517.224[/C][C]13768040.14[/C][C]13768040.14[/C][C]13770135.583[/C][C]12522497.94[/C][C]13494020.856[/C][C]12522497.94[/C][/ROW]
[ROW][C]0.04[/C][C]13772696.68[/C][C]13773162.334[/C][C]13779681.49[/C][C]13779681.49[/C][C]13807017.9568[/C][C]13768040.14[/C][C]13774559.296[/C][C]13768040.14[/C][/ROW]
[ROW][C]0.06[/C][C]13825242.268[/C][C]13829798.3458[/C][C]13855616.12[/C][C]13855616.12[/C][C]14100085.1036[/C][C]13855616.12[/C][C]13805499.2642[/C][C]13855616.12[/C][/ROW]
[ROW][C]0.08[/C][C]14217792.392[/C][C]14254010.0192[/C][C]14308336.46[/C][C]14308336.46[/C][C]14363164.1288[/C][C]14308336.46[/C][C]13909942.5608[/C][C]14308336.46[/C][/ROW]
[ROW][C]0.1[/C][C]14384486[/C][C]14388412.953[/C][C]14384486[/C][C]14404120.765[/C][C]14419828.577[/C][C]14384486[/C][C]14419828.577[/C][C]14384486[/C][/ROW]
[ROW][C]0.12[/C][C]14485770.058[/C][C]14522978.7748[/C][C]14733828.17[/C][C]14733828.17[/C][C]14743277.8524[/C][C]14423755.53[/C][C]14634604.9252[/C][C]14423755.53[/C][/ROW]
[ROW][C]0.14[/C][C]14781076.582[/C][C]14797613.5262[/C][C]14851949.2[/C][C]14851949.2[/C][C]14932029.7018[/C][C]14733828.17[/C][C]14788163.8438[/C][C]14851949.2[/C][/ROW]
[ROW][C]0.16[/C][C]15036750.358[/C][C]15086030.6668[/C][C]15159951.13[/C][C]15159951.13[/C][C]15217446.0664[/C][C]15159951.13[/C][C]14925869.6632[/C][C]15159951.13[/C][/ROW]
[ROW][C]0.18[/C][C]15264487.378[/C][C]15288008.0338[/C][C]15290621.44[/C][C]15290621.44[/C][C]15506356.1812[/C][C]15290621.44[/C][C]15162564.5362[/C][C]15290621.44[/C][/ROW]
[ROW][C]0.2[/C][C]15638580.7[/C][C]15648134.348[/C][C]15638580.7[/C][C]15662464.82[/C][C]15676795.292[/C][C]15638580.7[/C][C]15676795.292[/C][C]15638580.7[/C][/ROW]
[ROW][C]0.22[/C][C]15687507.986[/C][C]15688782.9366[/C][C]15692144.17[/C][C]15692144.17[/C][C]15692028.2654[/C][C]15686348.94[/C][C]15689710.1734[/C][C]15686348.94[/C][/ROW]
[ROW][C]0.24[/C][C]15738023.434[/C][C]15765550.9924[/C][C]15806842.33[/C][C]15806842.33[/C][C]15822349.53[/C][C]15692144.17[/C][C]15733435.5076[/C][C]15806842.33[/C][/ROW]
[ROW][C]0.26[/C][C]15864994.33[/C][C]15890193.53[/C][C]15903762.33[/C][C]15903762.33[/C][C]15938905.0462[/C][C]15903762.33[/C][C]15820411.13[/C][C]15903762.33[/C][/ROW]
[ROW][C]0.28[/C][C]15986451.074[/C][C]16007875.3672[/C][C]16007123.26[/C][C]16007123.26[/C][C]16012011.9568[/C][C]16007123.26[/C][C]16015772.4928[/C][C]16007123.26[/C][/ROW]
[ROW][C]0.3[/C][C]16016524.6[/C][C]16029304.195[/C][C]16016524.6[/C][C]16037823.925[/C][C]16046343.655[/C][C]16016524.6[/C][C]16046343.655[/C][C]16016524.6[/C][/ROW]
[ROW][C]0.32[/C][C]16075588.544[/C][C]16101933.0144[/C][C]16141449.72[/C][C]16141449.72[/C][C]16131570.5436[/C][C]16059123.25[/C][C]16098639.9556[/C][C]16141449.72[/C][/ROW]
[ROW][C]0.34[/C][C]16160623.26[/C][C]16176920.769[/C][C]16189383.57[/C][C]16189383.57[/C][C]16189595.109[/C][C]16141449.72[/C][C]16153912.521[/C][C]16189383.57[/C][/ROW]
[ROW][C]0.36[/C][C]16191498.96[/C][C]16192768.194[/C][C]16192909.22[/C][C]16192909.22[/C][C]16194156.4784[/C][C]16192909.22[/C][C]16189524.596[/C][C]16192909.22[/C][/ROW]
[ROW][C]0.38[/C][C]16197066.748[/C][C]16198247.7072[/C][C]16198106.13[/C][C]16198106.13[/C][C]16198436.4768[/C][C]16198106.13[/C][C]16198751.0928[/C][C]16198106.13[/C][/ROW]
[ROW][C]0.4[/C][C]16198892.67[/C][C]16223628.97[/C][C]16198892.67[/C][C]16229813.045[/C][C]16235997.12[/C][C]16198892.67[/C][C]16235997.12[/C][C]16198892.67[/C][/ROW]
[ROW][C]0.42[/C][C]16302892.642[/C][C]16391427.0082[/C][C]16471529.53[/C][C]16471529.53[/C][C]16425154.3858[/C][C]16260733.42[/C][C]16340835.9418[/C][C]16471529.53[/C][/ROW]
[ROW][C]0.44[/C][C]16504612.89[/C][C]16541004.586[/C][C]16554237.93[/C][C]16554237.93[/C][C]16550929.594[/C][C]16471529.53[/C][C]16484762.874[/C][C]16554237.93[/C][/ROW]
[ROW][C]0.46[/C][C]16564758.132[/C][C]16595658.1892[/C][C]16571771.6[/C][C]16571771.6[/C][C]16627506.9748[/C][C]16571771.6[/C][C]16945994.8308[/C][C]16571771.6[/C][/ROW]
[ROW][C]0.48[/C][C]16890259.456[/C][C]16977608.4008[/C][C]16969881.42[/C][C]16969881.42[/C][C]16978712.2552[/C][C]16969881.42[/C][C]16989750.7992[/C][C]16969881.42[/C][/ROW]
[ROW][C]0.5[/C][C]16997477.78[/C][C]17082334.6[/C][C]16997477.78[/C][C]17082334.6[/C][C]17082334.6[/C][C]16997477.78[/C][C]17082334.6[/C][C]17082334.6[/C][/ROW]
[ROW][C]0.52[/C][C]17170478.938[/C][C]17179026.4848[/C][C]17183629.01[/C][C]17183629.01[/C][C]17178368.9812[/C][C]17167191.42[/C][C]17171793.9452[/C][C]17183629.01[/C][/ROW]
[ROW][C]0.54[/C][C]17281560.734[/C][C]17413768.5614[/C][C]17428458.32[/C][C]17428458.32[/C][C]17394182.2166[/C][C]17183629.01[/C][C]17198318.7686[/C][C]17428458.32[/C][/ROW]
[ROW][C]0.56[/C][C]17463901.73[/C][C]17495152.3836[/C][C]17487530.67[/C][C]17487530.67[/C][C]17489436.0984[/C][C]17487530.67[/C][C]17527544.6664[/C][C]17487530.67[/C][/ROW]
[ROW][C]0.58[/C][C]17525639.238[/C][C]17590647.805[/C][C]17535166.38[/C][C]17535166.38[/C][C]17567287.205[/C][C]17535166.38[/C][C]17625688.705[/C][C]17535166.38[/C][/ROW]
[ROW][C]0.6[/C][C]17681170.13[/C][C]17874737.042[/C][C]17681170.13[/C][C]17842475.89[/C][C]17810214.738[/C][C]17681170.13[/C][C]17810214.738[/C][C]18003781.65[/C][/ROW]
[ROW][C]0.62[/C][C]18032518.056[/C][C]18121600.9146[/C][C]18147463.68[/C][C]18147463.68[/C][C]18087117.2274[/C][C]18003781.65[/C][C]18029644.4154[/C][C]18147463.68[/C][/ROW]
[ROW][C]0.64[/C][C]18158105.584[/C][C]18180290.1176[/C][C]18174068.44[/C][C]18174068.44[/C][C]18167683.2976[/C][C]18147463.68[/C][C]18323388.7024[/C][C]18174068.44[/C][/ROW]
[ROW][C]0.66[/C][C]18267393.604[/C][C]18333522.7222[/C][C]18329610.38[/C][C]18329610.38[/C][C]18320277.8636[/C][C]18329610.38[/C][C]18340745.5078[/C][C]18329610.38[/C][/ROW]
[ROW][C]0.68[/C][C]18341648.356[/C][C]18358943.97[/C][C]18344657.85[/C][C]18344657.85[/C][C]18348229.38[/C][C]18344657.85[/C][C]18360134.48[/C][C]18344657.85[/C][/ROW]
[ROW][C]0.7[/C][C]18374420.6[/C][C]18396912.741[/C][C]18374420.6[/C][C]18390486.415[/C][C]18384060.089[/C][C]18374420.6[/C][C]18384060.089[/C][C]18406552.23[/C][/ROW]
[ROW][C]0.72[/C][C]18418533.668[/C][C]18461666.8448[/C][C]18466459.42[/C][C]18466459.42[/C][C]18435307.6812[/C][C]18406552.23[/C][C]18411344.8052[/C][C]18466459.42[/C][/ROW]
[ROW][C]0.74[/C][C]18578600.96[/C][C]18769501.0876[/C][C]18746813.27[/C][C]18746813.27[/C][C]18651492.961[/C][C]18466459.42[/C][C]18886181.2924[/C][C]18746813.27[/C][/ROW]
[ROW][C]0.76[/C][C]18844046.774[/C][C]18926274.4224[/C][C]18908869.11[/C][C]18908869.11[/C][C]18882940.1756[/C][C]18908869.11[/C][C]18939811.8876[/C][C]18908869.11[/C][/ROW]
[ROW][C]0.78[/C][C]18947547.582[/C][C]18987514.3062[/C][C]18957217.2[/C][C]18957217.2[/C][C]18958261.9278[/C][C]18957217.2[/C][C]18979156.4838[/C][C]19009453.59[/C][/ROW]
[ROW][C]0.8[/C][C]19009453.59[/C][C]19170833.558[/C][C]19009453.59[/C][C]19110316.07[/C][C]19049798.582[/C][C]19009453.59[/C][C]19049798.582[/C][C]19211178.55[/C][/ROW]
[ROW][C]0.82[/C][C]19229230.982[/C][C]19301926.9764[/C][C]19301440.71[/C][C]19301440.71[/C][C]19245478.1708[/C][C]19211178.55[/C][C]19325267.7636[/C][C]19301440.71[/C][/ROW]
[ROW][C]0.84[/C][C]19311166.038[/C][C]19380575.3916[/C][C]19325754.03[/C][C]19325754.03[/C][C]19315056.1692[/C][C]19301440.71[/C][C]19499355.0084[/C][C]19325754.03[/C][/ROW]
[ROW][C]0.86[/C][C]19462807.434[/C][C]19589049.5358[/C][C]19554176.37[/C][C]19554176.37[/C][C]19494786.5616[/C][C]19554176.37[/C][C]19595114.4342[/C][C]19554176.37[/C][/ROW]
[ROW][C]0.88[/C][C]19614825.354[/C][C]19685452.2556[/C][C]19629987.6[/C][C]19629987.6[/C][C]19623922.7016[/C][C]19629987.6[/C][C]19656088.6144[/C][C]19711553.27[/C][/ROW]
[ROW][C]0.9[/C][C]19711553.27[/C][C]19844143.412[/C][C]19711553.27[/C][C]19785214.46[/C][C]19726285.508[/C][C]19711553.27[/C][C]19726285.508[/C][C]19858875.65[/C][/ROW]
[ROW][C]0.92[/C][C]19898483.532[/C][C]20093260.4392[/C][C]20056915.06[/C][C]20056915.06[/C][C]19914326.6848[/C][C]19858875.65[/C][C]20323447.8408[/C][C]20056915.06[/C][/ROW]
[ROW][C]0.94[/C][C]20178066.324[/C][C]20412628.7882[/C][C]20359793.22[/C][C]20359793.22[/C][C]20196239.0136[/C][C]20056915.06[/C][C]20462356.3818[/C][C]20359793.22[/C][/ROW]
[ROW][C]0.96[/C][C]20453032.458[/C][C]20533370.558[/C][C]20515191.95[/C][C]20515191.95[/C][C]20459248.4072[/C][C]20515191.95[/C][C]20529475.142[/C][C]20547653.75[/C][/ROW]
[ROW][C]0.98[/C][C]20541161.39[/C][C]20592807.0374[/C][C]20547653.75[/C][C]20547653.75[/C][C]20541810.626[/C][C]20547653.75[/C][C]20560389.2926[/C][C]20605542.58[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=103667&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=103667&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)
0.0212771606.3812796517.22413768040.1413768040.1413770135.58312522497.9413494020.85612522497.94
0.0413772696.6813773162.33413779681.4913779681.4913807017.956813768040.1413774559.29613768040.14
0.0613825242.26813829798.345813855616.1213855616.1214100085.103613855616.1213805499.264213855616.12
0.0814217792.39214254010.019214308336.4614308336.4614363164.128814308336.4613909942.560814308336.46
0.11438448614388412.9531438448614404120.76514419828.5771438448614419828.57714384486
0.1214485770.05814522978.774814733828.1714733828.1714743277.852414423755.5314634604.925214423755.53
0.1414781076.58214797613.526214851949.214851949.214932029.701814733828.1714788163.843814851949.2
0.1615036750.35815086030.666815159951.1315159951.1315217446.066415159951.1314925869.663215159951.13
0.1815264487.37815288008.033815290621.4415290621.4415506356.181215290621.4415162564.536215290621.44
0.215638580.715648134.34815638580.715662464.8215676795.29215638580.715676795.29215638580.7
0.2215687507.98615688782.936615692144.1715692144.1715692028.265415686348.9415689710.173415686348.94
0.2415738023.43415765550.992415806842.3315806842.3315822349.5315692144.1715733435.507615806842.33
0.2615864994.3315890193.5315903762.3315903762.3315938905.046215903762.3315820411.1315903762.33
0.2815986451.07416007875.367216007123.2616007123.2616012011.956816007123.2616015772.492816007123.26
0.316016524.616029304.19516016524.616037823.92516046343.65516016524.616046343.65516016524.6
0.3216075588.54416101933.014416141449.7216141449.7216131570.543616059123.2516098639.955616141449.72
0.3416160623.2616176920.76916189383.5716189383.5716189595.10916141449.7216153912.52116189383.57
0.3616191498.9616192768.19416192909.2216192909.2216194156.478416192909.2216189524.59616192909.22
0.3816197066.74816198247.707216198106.1316198106.1316198436.476816198106.1316198751.092816198106.13
0.416198892.6716223628.9716198892.6716229813.04516235997.1216198892.6716235997.1216198892.67
0.4216302892.64216391427.008216471529.5316471529.5316425154.385816260733.4216340835.941816471529.53
0.4416504612.8916541004.58616554237.9316554237.9316550929.59416471529.5316484762.87416554237.93
0.4616564758.13216595658.189216571771.616571771.616627506.974816571771.616945994.830816571771.6
0.4816890259.45616977608.400816969881.4216969881.4216978712.255216969881.4216989750.799216969881.42
0.516997477.7817082334.616997477.7817082334.617082334.616997477.7817082334.617082334.6
0.5217170478.93817179026.484817183629.0117183629.0117178368.981217167191.4217171793.945217183629.01
0.5417281560.73417413768.561417428458.3217428458.3217394182.216617183629.0117198318.768617428458.32
0.5617463901.7317495152.383617487530.6717487530.6717489436.098417487530.6717527544.666417487530.67
0.5817525639.23817590647.80517535166.3817535166.3817567287.20517535166.3817625688.70517535166.38
0.617681170.1317874737.04217681170.1317842475.8917810214.73817681170.1317810214.73818003781.65
0.6218032518.05618121600.914618147463.6818147463.6818087117.227418003781.6518029644.415418147463.68
0.6418158105.58418180290.117618174068.4418174068.4418167683.297618147463.6818323388.702418174068.44
0.6618267393.60418333522.722218329610.3818329610.3818320277.863618329610.3818340745.507818329610.38
0.6818341648.35618358943.9718344657.8518344657.8518348229.3818344657.8518360134.4818344657.85
0.718374420.618396912.74118374420.618390486.41518384060.08918374420.618384060.08918406552.23
0.7218418533.66818461666.844818466459.4218466459.4218435307.681218406552.2318411344.805218466459.42
0.7418578600.9618769501.087618746813.2718746813.2718651492.96118466459.4218886181.292418746813.27
0.7618844046.77418926274.422418908869.1118908869.1118882940.175618908869.1118939811.887618908869.11
0.7818947547.58218987514.306218957217.218957217.218958261.927818957217.218979156.483819009453.59
0.819009453.5919170833.55819009453.5919110316.0719049798.58219009453.5919049798.58219211178.55
0.8219229230.98219301926.976419301440.7119301440.7119245478.170819211178.5519325267.763619301440.71
0.8419311166.03819380575.391619325754.0319325754.0319315056.169219301440.7119499355.008419325754.03
0.8619462807.43419589049.535819554176.3719554176.3719494786.561619554176.3719595114.434219554176.37
0.8819614825.35419685452.255619629987.619629987.619623922.701619629987.619656088.614419711553.27
0.919711553.2719844143.41219711553.2719785214.4619726285.50819711553.2719726285.50819858875.65
0.9219898483.53220093260.439220056915.0620056915.0619914326.684819858875.6520323447.840820056915.06
0.9420178066.32420412628.788220359793.2220359793.2220196239.013620056915.0620462356.381820359793.22
0.9620453032.45820533370.55820515191.9520515191.9520459248.407220515191.9520529475.14220547653.75
0.9820541161.3920592807.037420547653.7520547653.7520541810.62620547653.7520560389.292620605542.58



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')