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Author*The author of this computation has been verified*
R Software Modulerwasp_percentiles.wasp
Title produced by softwarePercentiles
Date of computationTue, 20 Oct 2009 15:12:39 -0600
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2009/Oct/20/t1256073254ovlhkj1orft64d3.htm/, Retrieved Thu, 02 May 2024 18:58:07 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=49183, Retrieved Thu, 02 May 2024 18:58:07 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact86
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Percentiles] [ws3 part3 percent...] [2009-10-20 21:12:39] [b243db81ea3e1f02fb3382887fb0f701] [Current]
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Dataseries X:
165420174
168482695
174292040
170818956
167671299
181759548
182033308
188786285
197365400
206818784
205116596
198756428
195529152
196370080
216058096
216533548
211999410
214466142
213243366
221850324
233687748
241477992
232417350
228092760
220634858
219848754
221762645
218504292
220512853
226019388
234074223
240433024
249327920
253974132
237810524
228116330
228334883
212354640
226385037
220926592
227229489
225545628
229337603
241295944
252074644
251546033
234127032
228846076
231548590
223860522
228157303
212953011
231495500
232837280
237721260
246177408
260552015
257570872
239352080
239076089




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 1 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=49183&T=0

[TABLE]
[ROW][C]Summary of computational transaction[/C][/ROW]
[ROW][C]Raw Input[/C][C]view raw input (R code) [/C][/ROW]
[ROW][C]Raw Output[/C][C]view raw output of R engine [/C][/ROW]
[ROW][C]Computing time[/C][C]1 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Gwilym Jenkins' @ 72.249.127.135[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=49183&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=49183&T=0

As an alternative you can also use a QR Code:  

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

Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135







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)
0.02165870399165915421.5167671299167671299167817350.28165420174167176051.5165420174
0.04167995857.4168028313.24168482695168482695169323748.96167671299168125680.76167671299
0.06169884451.6170024627.26170818956170818956172694421.36170818956169277023.74170818956
0.08173597423.2173875269.92174292040174292040179668645.76174292040171235726.08174292040
0.1181759548181786924181759548181896428182005932181759548182005932181759548
0.12183383903.4184194260.64188786285188786285189325714.36182033308186625332.36182033308
0.14191483431.8192427433.18195529152195529152195747793.28188786285191888003.82195529152
0.16196033708.8196168257.28196370080196370080196808020.8196370080195730974.72196370080
0.18197166336197345493.6197365400197365400198227837.36197365400196389986.4197365400
0.2198756428200028461.6198756428201936512203844562.4198756428203844562.4198756428
0.22205457033.6205831514.96206818784206818784206784740.24205116596206103865.04205116596
0.24208891034.4210134384.64211999410211999410212056246.8206818784208683809.36211999410
0.26212212548212304907.8212354640212354640212558086.14212354640212049142.2212354640
0.28212833336.8212976239.4212953011212953011213103995.6212953011213220137.6212953011
0.3213243366213610198.8213243366213854754214099309.2213243366214099309.2213243366
0.32214784532.8215293958.08216058096216058096215867061.52214466142215230279.92216058096
0.34216248276.8216409930.48216533548216533548216651792.64216058096216181713.52216533548
0.36217715994.4218425462.24218504292218504292218826962.88218504292216612377.76218504292
0.38219579861.6219968291.82219848754219848754220127675.58219848754220393315.18219848754
0.4220512853220561655220512853220573855.5220586056220512853220586056220512853
0.42220693204.8220815733.08220926592220926592220862410.52220634858220745716.92220926592
0.44221261013.2221628876.52221762645221762645221729202.88220926592221060360.48221762645
0.46221815252.4221970935.88221850324221850324222131751.72221850324223739910.12221850324
0.48223458482.4224332351.68223860522223860522224399755.92223860522225073798.32223860522
0.5225545628225782508225545628225782508225782508225545628225782508225782508
0.52226092517.8226282655.28226385037226385037226268029.32226019388226121769.72226385037
0.54226722817.8227178821.88227229489227229489227111265.72226385037226435704.12227229489
0.56227747451.6228096531.2228092760228092760228093702.8228092760228112558.8228092760
0.58228111616228131899.74228116330228116330228125344.06228116330228141733.26228116330
0.6228157303228263851228157303228246093228228335228157303228228335228334883
0.62228437121.6228754061.26228846076228846076228631374.94228334883228426897.74228846076
0.64229042686.8229423918.88229337603229337603229219636.52228846076231409184.12229337603
0.66230632341.2231509303.4231495500231495500231366026.18231495500231534786.6231495500
0.68231537972231965594.8231548590231548590231652841.2231548590232000345.2231548590
0.7232417350232711301232417350232627315232543329232417350232543329232837280
0.72233007373.6233619710.56233687748233687748233245504.64232837280232905317.44233687748
0.74233842338234081616.26234074223234074223233942821.5233687748234119638.74234074223
0.76234105908.4235420954.08234127032234127032234118582.56234127032236427337.92234127032
0.78237002414.4237773033.12237721260237721260237723045.28237721260237758750.88237810524
0.8237810524238822976237810524238443306.5238063637237810524238063637239076089
0.82239131287.2239373698.88239352080239352080239180965.58239076089240411405.12239352080
0.84239784457.6240640124.8240433024240433024239957408.64239352080241088843.2240433024
0.86240950776241379686.08241295944241295944241071584.8241295944241394249.92241295944
0.88241441582.4244673594.88241477992241477992241463428.16241477992242981805.12246177408
0.9246177408249012868.8246177408247752664246492459.2246177408246492459.2249327920
0.92249771542.6251609466.32251546033251546033249948991.64249327920252011210.68251546033
0.94251757477.4252720469.92252074644252074644251789194.06251546033253328306.08252074644
0.96253214336.8255988306.4253974132253974132253290316.32253974132255556697.6257570872
0.98256851524259896163.54257570872257570872256923458.8257570872258226723.46260552015

\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 & 165870399 & 165915421.5 & 167671299 & 167671299 & 167817350.28 & 165420174 & 167176051.5 & 165420174 \tabularnewline
0.04 & 167995857.4 & 168028313.24 & 168482695 & 168482695 & 169323748.96 & 167671299 & 168125680.76 & 167671299 \tabularnewline
0.06 & 169884451.6 & 170024627.26 & 170818956 & 170818956 & 172694421.36 & 170818956 & 169277023.74 & 170818956 \tabularnewline
0.08 & 173597423.2 & 173875269.92 & 174292040 & 174292040 & 179668645.76 & 174292040 & 171235726.08 & 174292040 \tabularnewline
0.1 & 181759548 & 181786924 & 181759548 & 181896428 & 182005932 & 181759548 & 182005932 & 181759548 \tabularnewline
0.12 & 183383903.4 & 184194260.64 & 188786285 & 188786285 & 189325714.36 & 182033308 & 186625332.36 & 182033308 \tabularnewline
0.14 & 191483431.8 & 192427433.18 & 195529152 & 195529152 & 195747793.28 & 188786285 & 191888003.82 & 195529152 \tabularnewline
0.16 & 196033708.8 & 196168257.28 & 196370080 & 196370080 & 196808020.8 & 196370080 & 195730974.72 & 196370080 \tabularnewline
0.18 & 197166336 & 197345493.6 & 197365400 & 197365400 & 198227837.36 & 197365400 & 196389986.4 & 197365400 \tabularnewline
0.2 & 198756428 & 200028461.6 & 198756428 & 201936512 & 203844562.4 & 198756428 & 203844562.4 & 198756428 \tabularnewline
0.22 & 205457033.6 & 205831514.96 & 206818784 & 206818784 & 206784740.24 & 205116596 & 206103865.04 & 205116596 \tabularnewline
0.24 & 208891034.4 & 210134384.64 & 211999410 & 211999410 & 212056246.8 & 206818784 & 208683809.36 & 211999410 \tabularnewline
0.26 & 212212548 & 212304907.8 & 212354640 & 212354640 & 212558086.14 & 212354640 & 212049142.2 & 212354640 \tabularnewline
0.28 & 212833336.8 & 212976239.4 & 212953011 & 212953011 & 213103995.6 & 212953011 & 213220137.6 & 212953011 \tabularnewline
0.3 & 213243366 & 213610198.8 & 213243366 & 213854754 & 214099309.2 & 213243366 & 214099309.2 & 213243366 \tabularnewline
0.32 & 214784532.8 & 215293958.08 & 216058096 & 216058096 & 215867061.52 & 214466142 & 215230279.92 & 216058096 \tabularnewline
0.34 & 216248276.8 & 216409930.48 & 216533548 & 216533548 & 216651792.64 & 216058096 & 216181713.52 & 216533548 \tabularnewline
0.36 & 217715994.4 & 218425462.24 & 218504292 & 218504292 & 218826962.88 & 218504292 & 216612377.76 & 218504292 \tabularnewline
0.38 & 219579861.6 & 219968291.82 & 219848754 & 219848754 & 220127675.58 & 219848754 & 220393315.18 & 219848754 \tabularnewline
0.4 & 220512853 & 220561655 & 220512853 & 220573855.5 & 220586056 & 220512853 & 220586056 & 220512853 \tabularnewline
0.42 & 220693204.8 & 220815733.08 & 220926592 & 220926592 & 220862410.52 & 220634858 & 220745716.92 & 220926592 \tabularnewline
0.44 & 221261013.2 & 221628876.52 & 221762645 & 221762645 & 221729202.88 & 220926592 & 221060360.48 & 221762645 \tabularnewline
0.46 & 221815252.4 & 221970935.88 & 221850324 & 221850324 & 222131751.72 & 221850324 & 223739910.12 & 221850324 \tabularnewline
0.48 & 223458482.4 & 224332351.68 & 223860522 & 223860522 & 224399755.92 & 223860522 & 225073798.32 & 223860522 \tabularnewline
0.5 & 225545628 & 225782508 & 225545628 & 225782508 & 225782508 & 225545628 & 225782508 & 225782508 \tabularnewline
0.52 & 226092517.8 & 226282655.28 & 226385037 & 226385037 & 226268029.32 & 226019388 & 226121769.72 & 226385037 \tabularnewline
0.54 & 226722817.8 & 227178821.88 & 227229489 & 227229489 & 227111265.72 & 226385037 & 226435704.12 & 227229489 \tabularnewline
0.56 & 227747451.6 & 228096531.2 & 228092760 & 228092760 & 228093702.8 & 228092760 & 228112558.8 & 228092760 \tabularnewline
0.58 & 228111616 & 228131899.74 & 228116330 & 228116330 & 228125344.06 & 228116330 & 228141733.26 & 228116330 \tabularnewline
0.6 & 228157303 & 228263851 & 228157303 & 228246093 & 228228335 & 228157303 & 228228335 & 228334883 \tabularnewline
0.62 & 228437121.6 & 228754061.26 & 228846076 & 228846076 & 228631374.94 & 228334883 & 228426897.74 & 228846076 \tabularnewline
0.64 & 229042686.8 & 229423918.88 & 229337603 & 229337603 & 229219636.52 & 228846076 & 231409184.12 & 229337603 \tabularnewline
0.66 & 230632341.2 & 231509303.4 & 231495500 & 231495500 & 231366026.18 & 231495500 & 231534786.6 & 231495500 \tabularnewline
0.68 & 231537972 & 231965594.8 & 231548590 & 231548590 & 231652841.2 & 231548590 & 232000345.2 & 231548590 \tabularnewline
0.7 & 232417350 & 232711301 & 232417350 & 232627315 & 232543329 & 232417350 & 232543329 & 232837280 \tabularnewline
0.72 & 233007373.6 & 233619710.56 & 233687748 & 233687748 & 233245504.64 & 232837280 & 232905317.44 & 233687748 \tabularnewline
0.74 & 233842338 & 234081616.26 & 234074223 & 234074223 & 233942821.5 & 233687748 & 234119638.74 & 234074223 \tabularnewline
0.76 & 234105908.4 & 235420954.08 & 234127032 & 234127032 & 234118582.56 & 234127032 & 236427337.92 & 234127032 \tabularnewline
0.78 & 237002414.4 & 237773033.12 & 237721260 & 237721260 & 237723045.28 & 237721260 & 237758750.88 & 237810524 \tabularnewline
0.8 & 237810524 & 238822976 & 237810524 & 238443306.5 & 238063637 & 237810524 & 238063637 & 239076089 \tabularnewline
0.82 & 239131287.2 & 239373698.88 & 239352080 & 239352080 & 239180965.58 & 239076089 & 240411405.12 & 239352080 \tabularnewline
0.84 & 239784457.6 & 240640124.8 & 240433024 & 240433024 & 239957408.64 & 239352080 & 241088843.2 & 240433024 \tabularnewline
0.86 & 240950776 & 241379686.08 & 241295944 & 241295944 & 241071584.8 & 241295944 & 241394249.92 & 241295944 \tabularnewline
0.88 & 241441582.4 & 244673594.88 & 241477992 & 241477992 & 241463428.16 & 241477992 & 242981805.12 & 246177408 \tabularnewline
0.9 & 246177408 & 249012868.8 & 246177408 & 247752664 & 246492459.2 & 246177408 & 246492459.2 & 249327920 \tabularnewline
0.92 & 249771542.6 & 251609466.32 & 251546033 & 251546033 & 249948991.64 & 249327920 & 252011210.68 & 251546033 \tabularnewline
0.94 & 251757477.4 & 252720469.92 & 252074644 & 252074644 & 251789194.06 & 251546033 & 253328306.08 & 252074644 \tabularnewline
0.96 & 253214336.8 & 255988306.4 & 253974132 & 253974132 & 253290316.32 & 253974132 & 255556697.6 & 257570872 \tabularnewline
0.98 & 256851524 & 259896163.54 & 257570872 & 257570872 & 256923458.8 & 257570872 & 258226723.46 & 260552015 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=49183&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]165870399[/C][C]165915421.5[/C][C]167671299[/C][C]167671299[/C][C]167817350.28[/C][C]165420174[/C][C]167176051.5[/C][C]165420174[/C][/ROW]
[ROW][C]0.04[/C][C]167995857.4[/C][C]168028313.24[/C][C]168482695[/C][C]168482695[/C][C]169323748.96[/C][C]167671299[/C][C]168125680.76[/C][C]167671299[/C][/ROW]
[ROW][C]0.06[/C][C]169884451.6[/C][C]170024627.26[/C][C]170818956[/C][C]170818956[/C][C]172694421.36[/C][C]170818956[/C][C]169277023.74[/C][C]170818956[/C][/ROW]
[ROW][C]0.08[/C][C]173597423.2[/C][C]173875269.92[/C][C]174292040[/C][C]174292040[/C][C]179668645.76[/C][C]174292040[/C][C]171235726.08[/C][C]174292040[/C][/ROW]
[ROW][C]0.1[/C][C]181759548[/C][C]181786924[/C][C]181759548[/C][C]181896428[/C][C]182005932[/C][C]181759548[/C][C]182005932[/C][C]181759548[/C][/ROW]
[ROW][C]0.12[/C][C]183383903.4[/C][C]184194260.64[/C][C]188786285[/C][C]188786285[/C][C]189325714.36[/C][C]182033308[/C][C]186625332.36[/C][C]182033308[/C][/ROW]
[ROW][C]0.14[/C][C]191483431.8[/C][C]192427433.18[/C][C]195529152[/C][C]195529152[/C][C]195747793.28[/C][C]188786285[/C][C]191888003.82[/C][C]195529152[/C][/ROW]
[ROW][C]0.16[/C][C]196033708.8[/C][C]196168257.28[/C][C]196370080[/C][C]196370080[/C][C]196808020.8[/C][C]196370080[/C][C]195730974.72[/C][C]196370080[/C][/ROW]
[ROW][C]0.18[/C][C]197166336[/C][C]197345493.6[/C][C]197365400[/C][C]197365400[/C][C]198227837.36[/C][C]197365400[/C][C]196389986.4[/C][C]197365400[/C][/ROW]
[ROW][C]0.2[/C][C]198756428[/C][C]200028461.6[/C][C]198756428[/C][C]201936512[/C][C]203844562.4[/C][C]198756428[/C][C]203844562.4[/C][C]198756428[/C][/ROW]
[ROW][C]0.22[/C][C]205457033.6[/C][C]205831514.96[/C][C]206818784[/C][C]206818784[/C][C]206784740.24[/C][C]205116596[/C][C]206103865.04[/C][C]205116596[/C][/ROW]
[ROW][C]0.24[/C][C]208891034.4[/C][C]210134384.64[/C][C]211999410[/C][C]211999410[/C][C]212056246.8[/C][C]206818784[/C][C]208683809.36[/C][C]211999410[/C][/ROW]
[ROW][C]0.26[/C][C]212212548[/C][C]212304907.8[/C][C]212354640[/C][C]212354640[/C][C]212558086.14[/C][C]212354640[/C][C]212049142.2[/C][C]212354640[/C][/ROW]
[ROW][C]0.28[/C][C]212833336.8[/C][C]212976239.4[/C][C]212953011[/C][C]212953011[/C][C]213103995.6[/C][C]212953011[/C][C]213220137.6[/C][C]212953011[/C][/ROW]
[ROW][C]0.3[/C][C]213243366[/C][C]213610198.8[/C][C]213243366[/C][C]213854754[/C][C]214099309.2[/C][C]213243366[/C][C]214099309.2[/C][C]213243366[/C][/ROW]
[ROW][C]0.32[/C][C]214784532.8[/C][C]215293958.08[/C][C]216058096[/C][C]216058096[/C][C]215867061.52[/C][C]214466142[/C][C]215230279.92[/C][C]216058096[/C][/ROW]
[ROW][C]0.34[/C][C]216248276.8[/C][C]216409930.48[/C][C]216533548[/C][C]216533548[/C][C]216651792.64[/C][C]216058096[/C][C]216181713.52[/C][C]216533548[/C][/ROW]
[ROW][C]0.36[/C][C]217715994.4[/C][C]218425462.24[/C][C]218504292[/C][C]218504292[/C][C]218826962.88[/C][C]218504292[/C][C]216612377.76[/C][C]218504292[/C][/ROW]
[ROW][C]0.38[/C][C]219579861.6[/C][C]219968291.82[/C][C]219848754[/C][C]219848754[/C][C]220127675.58[/C][C]219848754[/C][C]220393315.18[/C][C]219848754[/C][/ROW]
[ROW][C]0.4[/C][C]220512853[/C][C]220561655[/C][C]220512853[/C][C]220573855.5[/C][C]220586056[/C][C]220512853[/C][C]220586056[/C][C]220512853[/C][/ROW]
[ROW][C]0.42[/C][C]220693204.8[/C][C]220815733.08[/C][C]220926592[/C][C]220926592[/C][C]220862410.52[/C][C]220634858[/C][C]220745716.92[/C][C]220926592[/C][/ROW]
[ROW][C]0.44[/C][C]221261013.2[/C][C]221628876.52[/C][C]221762645[/C][C]221762645[/C][C]221729202.88[/C][C]220926592[/C][C]221060360.48[/C][C]221762645[/C][/ROW]
[ROW][C]0.46[/C][C]221815252.4[/C][C]221970935.88[/C][C]221850324[/C][C]221850324[/C][C]222131751.72[/C][C]221850324[/C][C]223739910.12[/C][C]221850324[/C][/ROW]
[ROW][C]0.48[/C][C]223458482.4[/C][C]224332351.68[/C][C]223860522[/C][C]223860522[/C][C]224399755.92[/C][C]223860522[/C][C]225073798.32[/C][C]223860522[/C][/ROW]
[ROW][C]0.5[/C][C]225545628[/C][C]225782508[/C][C]225545628[/C][C]225782508[/C][C]225782508[/C][C]225545628[/C][C]225782508[/C][C]225782508[/C][/ROW]
[ROW][C]0.52[/C][C]226092517.8[/C][C]226282655.28[/C][C]226385037[/C][C]226385037[/C][C]226268029.32[/C][C]226019388[/C][C]226121769.72[/C][C]226385037[/C][/ROW]
[ROW][C]0.54[/C][C]226722817.8[/C][C]227178821.88[/C][C]227229489[/C][C]227229489[/C][C]227111265.72[/C][C]226385037[/C][C]226435704.12[/C][C]227229489[/C][/ROW]
[ROW][C]0.56[/C][C]227747451.6[/C][C]228096531.2[/C][C]228092760[/C][C]228092760[/C][C]228093702.8[/C][C]228092760[/C][C]228112558.8[/C][C]228092760[/C][/ROW]
[ROW][C]0.58[/C][C]228111616[/C][C]228131899.74[/C][C]228116330[/C][C]228116330[/C][C]228125344.06[/C][C]228116330[/C][C]228141733.26[/C][C]228116330[/C][/ROW]
[ROW][C]0.6[/C][C]228157303[/C][C]228263851[/C][C]228157303[/C][C]228246093[/C][C]228228335[/C][C]228157303[/C][C]228228335[/C][C]228334883[/C][/ROW]
[ROW][C]0.62[/C][C]228437121.6[/C][C]228754061.26[/C][C]228846076[/C][C]228846076[/C][C]228631374.94[/C][C]228334883[/C][C]228426897.74[/C][C]228846076[/C][/ROW]
[ROW][C]0.64[/C][C]229042686.8[/C][C]229423918.88[/C][C]229337603[/C][C]229337603[/C][C]229219636.52[/C][C]228846076[/C][C]231409184.12[/C][C]229337603[/C][/ROW]
[ROW][C]0.66[/C][C]230632341.2[/C][C]231509303.4[/C][C]231495500[/C][C]231495500[/C][C]231366026.18[/C][C]231495500[/C][C]231534786.6[/C][C]231495500[/C][/ROW]
[ROW][C]0.68[/C][C]231537972[/C][C]231965594.8[/C][C]231548590[/C][C]231548590[/C][C]231652841.2[/C][C]231548590[/C][C]232000345.2[/C][C]231548590[/C][/ROW]
[ROW][C]0.7[/C][C]232417350[/C][C]232711301[/C][C]232417350[/C][C]232627315[/C][C]232543329[/C][C]232417350[/C][C]232543329[/C][C]232837280[/C][/ROW]
[ROW][C]0.72[/C][C]233007373.6[/C][C]233619710.56[/C][C]233687748[/C][C]233687748[/C][C]233245504.64[/C][C]232837280[/C][C]232905317.44[/C][C]233687748[/C][/ROW]
[ROW][C]0.74[/C][C]233842338[/C][C]234081616.26[/C][C]234074223[/C][C]234074223[/C][C]233942821.5[/C][C]233687748[/C][C]234119638.74[/C][C]234074223[/C][/ROW]
[ROW][C]0.76[/C][C]234105908.4[/C][C]235420954.08[/C][C]234127032[/C][C]234127032[/C][C]234118582.56[/C][C]234127032[/C][C]236427337.92[/C][C]234127032[/C][/ROW]
[ROW][C]0.78[/C][C]237002414.4[/C][C]237773033.12[/C][C]237721260[/C][C]237721260[/C][C]237723045.28[/C][C]237721260[/C][C]237758750.88[/C][C]237810524[/C][/ROW]
[ROW][C]0.8[/C][C]237810524[/C][C]238822976[/C][C]237810524[/C][C]238443306.5[/C][C]238063637[/C][C]237810524[/C][C]238063637[/C][C]239076089[/C][/ROW]
[ROW][C]0.82[/C][C]239131287.2[/C][C]239373698.88[/C][C]239352080[/C][C]239352080[/C][C]239180965.58[/C][C]239076089[/C][C]240411405.12[/C][C]239352080[/C][/ROW]
[ROW][C]0.84[/C][C]239784457.6[/C][C]240640124.8[/C][C]240433024[/C][C]240433024[/C][C]239957408.64[/C][C]239352080[/C][C]241088843.2[/C][C]240433024[/C][/ROW]
[ROW][C]0.86[/C][C]240950776[/C][C]241379686.08[/C][C]241295944[/C][C]241295944[/C][C]241071584.8[/C][C]241295944[/C][C]241394249.92[/C][C]241295944[/C][/ROW]
[ROW][C]0.88[/C][C]241441582.4[/C][C]244673594.88[/C][C]241477992[/C][C]241477992[/C][C]241463428.16[/C][C]241477992[/C][C]242981805.12[/C][C]246177408[/C][/ROW]
[ROW][C]0.9[/C][C]246177408[/C][C]249012868.8[/C][C]246177408[/C][C]247752664[/C][C]246492459.2[/C][C]246177408[/C][C]246492459.2[/C][C]249327920[/C][/ROW]
[ROW][C]0.92[/C][C]249771542.6[/C][C]251609466.32[/C][C]251546033[/C][C]251546033[/C][C]249948991.64[/C][C]249327920[/C][C]252011210.68[/C][C]251546033[/C][/ROW]
[ROW][C]0.94[/C][C]251757477.4[/C][C]252720469.92[/C][C]252074644[/C][C]252074644[/C][C]251789194.06[/C][C]251546033[/C][C]253328306.08[/C][C]252074644[/C][/ROW]
[ROW][C]0.96[/C][C]253214336.8[/C][C]255988306.4[/C][C]253974132[/C][C]253974132[/C][C]253290316.32[/C][C]253974132[/C][C]255556697.6[/C][C]257570872[/C][/ROW]
[ROW][C]0.98[/C][C]256851524[/C][C]259896163.54[/C][C]257570872[/C][C]257570872[/C][C]256923458.8[/C][C]257570872[/C][C]258226723.46[/C][C]260552015[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=49183&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=49183&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)
0.02165870399165915421.5167671299167671299167817350.28165420174167176051.5165420174
0.04167995857.4168028313.24168482695168482695169323748.96167671299168125680.76167671299
0.06169884451.6170024627.26170818956170818956172694421.36170818956169277023.74170818956
0.08173597423.2173875269.92174292040174292040179668645.76174292040171235726.08174292040
0.1181759548181786924181759548181896428182005932181759548182005932181759548
0.12183383903.4184194260.64188786285188786285189325714.36182033308186625332.36182033308
0.14191483431.8192427433.18195529152195529152195747793.28188786285191888003.82195529152
0.16196033708.8196168257.28196370080196370080196808020.8196370080195730974.72196370080
0.18197166336197345493.6197365400197365400198227837.36197365400196389986.4197365400
0.2198756428200028461.6198756428201936512203844562.4198756428203844562.4198756428
0.22205457033.6205831514.96206818784206818784206784740.24205116596206103865.04205116596
0.24208891034.4210134384.64211999410211999410212056246.8206818784208683809.36211999410
0.26212212548212304907.8212354640212354640212558086.14212354640212049142.2212354640
0.28212833336.8212976239.4212953011212953011213103995.6212953011213220137.6212953011
0.3213243366213610198.8213243366213854754214099309.2213243366214099309.2213243366
0.32214784532.8215293958.08216058096216058096215867061.52214466142215230279.92216058096
0.34216248276.8216409930.48216533548216533548216651792.64216058096216181713.52216533548
0.36217715994.4218425462.24218504292218504292218826962.88218504292216612377.76218504292
0.38219579861.6219968291.82219848754219848754220127675.58219848754220393315.18219848754
0.4220512853220561655220512853220573855.5220586056220512853220586056220512853
0.42220693204.8220815733.08220926592220926592220862410.52220634858220745716.92220926592
0.44221261013.2221628876.52221762645221762645221729202.88220926592221060360.48221762645
0.46221815252.4221970935.88221850324221850324222131751.72221850324223739910.12221850324
0.48223458482.4224332351.68223860522223860522224399755.92223860522225073798.32223860522
0.5225545628225782508225545628225782508225782508225545628225782508225782508
0.52226092517.8226282655.28226385037226385037226268029.32226019388226121769.72226385037
0.54226722817.8227178821.88227229489227229489227111265.72226385037226435704.12227229489
0.56227747451.6228096531.2228092760228092760228093702.8228092760228112558.8228092760
0.58228111616228131899.74228116330228116330228125344.06228116330228141733.26228116330
0.6228157303228263851228157303228246093228228335228157303228228335228334883
0.62228437121.6228754061.26228846076228846076228631374.94228334883228426897.74228846076
0.64229042686.8229423918.88229337603229337603229219636.52228846076231409184.12229337603
0.66230632341.2231509303.4231495500231495500231366026.18231495500231534786.6231495500
0.68231537972231965594.8231548590231548590231652841.2231548590232000345.2231548590
0.7232417350232711301232417350232627315232543329232417350232543329232837280
0.72233007373.6233619710.56233687748233687748233245504.64232837280232905317.44233687748
0.74233842338234081616.26234074223234074223233942821.5233687748234119638.74234074223
0.76234105908.4235420954.08234127032234127032234118582.56234127032236427337.92234127032
0.78237002414.4237773033.12237721260237721260237723045.28237721260237758750.88237810524
0.8237810524238822976237810524238443306.5238063637237810524238063637239076089
0.82239131287.2239373698.88239352080239352080239180965.58239076089240411405.12239352080
0.84239784457.6240640124.8240433024240433024239957408.64239352080241088843.2240433024
0.86240950776241379686.08241295944241295944241071584.8241295944241394249.92241295944
0.88241441582.4244673594.88241477992241477992241463428.16241477992242981805.12246177408
0.9246177408249012868.8246177408247752664246492459.2246177408246492459.2249327920
0.92249771542.6251609466.32251546033251546033249948991.64249327920252011210.68251546033
0.94251757477.4252720469.92252074644252074644251789194.06251546033253328306.08252074644
0.96253214336.8255988306.4253974132253974132253290316.32253974132255556697.6257570872
0.98256851524259896163.54257570872257570872256923458.8257570872258226723.46260552015



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')