Free Statistics

of Irreproducible Research!

Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_percentiles.wasp
Title produced by softwarePercentiles
Date of computationMon, 05 Dec 2011 18:10:28 -0500
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2011/Dec/05/t1323126639ivsrxmmzhq7lien.htm/, Retrieved Fri, 03 May 2024 04:37:25 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=151329, Retrieved Fri, 03 May 2024 04:37:25 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact103
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Univariate Data Series] [web traffic] [2010-10-19 15:13:07] [b98453cac15ba1066b407e146608df68]
- RMP   [Variance Reduction Matrix] [Traffic] [2010-11-29 09:57:15] [b98453cac15ba1066b407e146608df68]
- RMP     [ARIMA Backward Selection] [Traffic] [2010-11-29 20:05:46] [b98453cac15ba1066b407e146608df68]
-   PD      [ARIMA Backward Selection] [] [2011-12-05 15:44:21] [d623f9be707a26b8ffaece1fc4d5a7ee]
- RMPD          [Percentiles] [] [2011-12-05 23:10:28] [4cf172296f32adf71d8383c359dbb80f] [Current]
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Dataseries X:
213008
120982
176537
184969
128552
52746
385534
33170
149061
165446
255558
180915
138816
279314
185362
330754
242201
248074
137731
217015
238060
352819
153935
132943
176297
174415
227308
223632
128603
238315
220067
171645
269655
84853
319589
215641
331650
167548
114673
275650
275861
155363
155774
128649
129301
368166
78800
183167
289575
154368
168809
24188
329267
65029
101097
223355
256087
248342
269536
214872
324427
254411
184360
214011
196553
178886
143250
189237
187681
120478
182192
73566
194979
167488
147958
289924
251351
185082
138570
152450
123905
364565
145790
201714
80953
122774
130585
298851
255899
148553
211322
187632
149018
220959
247964
162765
200476
232138
290838
315389
233269
232317
151811
43287
157799
168180
220195
252225
99466
100750
230772
262070
22938
152474
61857
132487
317394
21054
209641
31414
249237
184528
140189
112178
38214
158671
287703
172558
340803
253210
352257
158015
85439
236202
366492
84925
331866
131069
211775
170863
157949
314332
202656
173260
268676
112739
200511
228606
1
14688
98
455
0
0
184207
293412
0
203
7199
46660
17547
95227
969
156828




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'Herman Ole Andreas Wold' @ wold.wessa.net

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 2 seconds \tabularnewline
R Server & 'Herman Ole Andreas Wold' @ wold.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=151329&T=0

[TABLE]
[ROW][C]Summary of computational transaction[/C][/ROW]
[ROW][C]Raw Input[/C][C]view raw input (R code) [/C][/ROW]
[ROW][C]Raw Output[/C][C]view raw output of R engine [/C][/ROW]
[ROW][C]Computing time[/C][C]2 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Herman Ole Andreas Wold' @ wold.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=151329&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=151329&T=0

As an alternative you can also use a QR Code:  

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

Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'Herman Ole Andreas Wold' @ wold.wessa.net







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)
0.0100000000
0.020.280.31126.2200.70
0.0390.2493.159898191.45985.8598
0.04344.12354.2455455722.28455303.8455
0.0522152526.5719971998322.359695641.5969
0.0613489.7613939.1146881468816918.02146887947.914688
0.0719230.3619475.85210542105421826.441754719125.1521054
0.082308823188241882418824477.04229382393822938
0.0929679.7630330.1314143141432590.523141425271.931414
0.135187.635692382143821439735.9331703569235692
0.1143421.9243792.95466604666046423.894328746154.0543287
0.1250798.4851528.8527465274657848.165274647877.252746
0.1362872.0463284.4650296502966651.036185763601.661857
0.1473224.5274089.4735667356677857.887356678276.673566
0.1580091.880414.758095380953827088095379338.2580953
0.1684870.2884881.8849258492584966.128485384896.284853
0.1785377.3285928.4854398543992388.488543994737.685439
0.1897431.2898194.3994669946699902.569946696498.799466
0.19100805.52100871.45101097101097101086.59100750100975.55100750
0.2109961.8112178112178112178112514.6112178112178112178
0.21113589.96113996.1114673114673116008.15112739113415.9114673
0.22120518.32120629.2120982120982120911.44120478120830.8120478
0.23122272.24122684.4122774122774123328.19122774121071.6122774
0.24125577.92126693.2128552128552128558.12123905125763.8128552
0.25128603128614.5128603128626128637.5128603128637.5128603
0.26129066.28129235.8129301129301129788.92129301128714.2129301
0.27130720.52130851.2131069131069131083.18130585130802.8131069
0.28132373.56132578.2132487132487132778.84132487132851.8132487
0.29135624.28137012.8137731137731137957.53137731133661.2137731
0.3138619.2138693138816138816138791.4138570138693138693
0.31139969.32140648.15140189140189141811.33140189142790.85140189
0.32144469.2145282145790145790146136.88143250143758145790
0.33148029.4148225.75148553148553148428.05147958148285.25147958
0.34148906.4149022.3149018149018149036.06149018149056.7149018
0.35150161151123.5151811151811151842.95149061149748.5151811
0.36152450.96152459.6152474152474152466.32152450152464.4152450
0.37153467.48153956.65153935153935154069.23153935154346.35153935
0.38154686.4155064.5155363155363155303.3154368154666.5155363
0.39155757.56156142.9155774155774156374.78155774156459.1155774
0.4157410.6157799157799157799157829157799157799157799
0.41157964.84157991.9158015158015158003.78157949157972.1158015
0.42158592.28159899.2158671158671160554.24158671161536.8158671
0.43164159.12165311.95165446165446165629.78165446162899.05165446
0.44167497.6167524167548167548167531.2167488167512167548
0.45168053.6168337.25168180168180168400.15168180168651.75168180
0.46169712.76170657.6170863170863170821.92168809169014.4170863
0.47171718.04172147.15172558172558172201.93171645172055.85172558
0.48173063.44173491173260173260173537.2173260174184173260
0.49175092.52176014.7176297176297176052.34174415174697.3176297
0.5176537177711.5176537177711.5177711.5176537177711.5177711.5
0.51180184.56181106.55180915180915181081.01180915182000.45180915
0.52182465182972183167183167182933182192182387183167
0.53184123.8184275.85184207184207184266.67184207184291.15184207
0.54184454.08184572.1184528184528184536.82184528184924.9184528
0.55184991.6185053.75185082185082185042.45184969184997.25185082
0.56185317.2186270185362185362185997.6185362186724185362
0.57187655.52187758.8187681187681187676.59187632189159.2187681
0.58189926.04193256.4194979194979192337.68189237190959.6194979
0.59196175.24197926.05196553196553197219.91196553199102.95196553
0.6200490200511200511200511200504200476200511200511
0.61201751.68202326.3202656202656202119.06201714202043.7202656
0.62207405.8210145.3209641209641209741.86209641210817.7209641
0.63211466.96211752.35211775211775211634.57211322211344.65211775
0.64212958.68213609.8213008213008213328.96213008213409.2214011
0.65214527.6215064.25214872214872214828.95214872215448.75214872
0.66215970.76216877.6217015217015216437.92215641215778.4217015
0.67219700.76220137.4220067220067220093.88220067220124.6220195
0.68220592.28221438.2220959220959220836.76220959222875.8220959
0.69223399.32223590.45223632223632223485.19223355223396.55223632
0.7226572.8227957227308227308227437.8227308227957227308
0.71229559.04230976.9230772230772230187.18228606231933.1230772
0.72232152.32232281.2232317232317232202.44232138232173.8232317
0.73233002.44234588.85233269233269233259.48233269234882.15233269
0.74236870.88238085.5238060238060237353.96236202238289.5238060
0.75238315241229.5238315240258239286.5238315239286.5242201
0.76245889.32248008247964247964247272.44247964248030247964
0.77248149.04248386.75248342248342248210.68248074249192.25248342
0.78249165.4250716.8249237249237249532.96249237249871.2251351
0.79251840.44252569.75252225252225252023.98252225252865.25252225
0.8253450.2254411254411254411253690.4253210254411254411
0.81255374.48255779.65255558255558255568.23255558255677.35255899
0.82255989.24257881.9256087256087256023.08255899260275.1256087
0.83262862.72268345.7268676268676263985.74262070262400.3268676
0.84269329.6269607.4269536269536269467.2269536269583.6269655
0.85272053275702.75275650275650272952.25269655275808.25275650
0.86275999.12278968.7279314279314276482.54275861276206.3279314
0.87285018.52288732.6287703287703286109.09287703288545.4289575
0.88289686.68290106.8289924289924289728.56289575290655.2289924
0.89290801.44293025.9290838290838291018.18290838291224.1293412
0.9296675.4306591.5298851298851297219.3298851306591.5306591.5
0.91314585.68315689.75315389315389314680.81314332317093.25315389
0.92317153.4319150317394317394317313.8317394317833319589
0.93322104.76326605324427324427322443.42324427327089324427
0.94329504.92330843.6330754330754329594.14329267331560.4330754
0.95331470.8331812331650331650331515.6331650331704331866
0.96335798.28345384.6340803340803336155.76331866347675.4340803
0.97352301.96353406.3352819352819352318.82352257363977.7352819
0.98361276.12365913.9364565364565361511.04364565365143.1366492
0.99367094.64374244.8368166368166367111.38366492379455.2368166

\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
0.01 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 \tabularnewline
0.02 & 0.28 & 0.3 & 1 & 1 & 26.22 & 0 & 0.7 & 0 \tabularnewline
0.03 & 90.24 & 93.15 & 98 & 98 & 191.45 & 98 & 5.85 & 98 \tabularnewline
0.04 & 344.12 & 354.2 & 455 & 455 & 722.28 & 455 & 303.8 & 455 \tabularnewline
0.05 & 2215 & 2526.5 & 7199 & 7199 & 8322.35 & 969 & 5641.5 & 969 \tabularnewline
0.06 & 13489.76 & 13939.1 & 14688 & 14688 & 16918.02 & 14688 & 7947.9 & 14688 \tabularnewline
0.07 & 19230.36 & 19475.85 & 21054 & 21054 & 21826.44 & 17547 & 19125.15 & 21054 \tabularnewline
0.08 & 23088 & 23188 & 24188 & 24188 & 24477.04 & 22938 & 23938 & 22938 \tabularnewline
0.09 & 29679.76 & 30330.1 & 31414 & 31414 & 32590.52 & 31414 & 25271.9 & 31414 \tabularnewline
0.1 & 35187.6 & 35692 & 38214 & 38214 & 39735.9 & 33170 & 35692 & 35692 \tabularnewline
0.11 & 43421.92 & 43792.95 & 46660 & 46660 & 46423.89 & 43287 & 46154.05 & 43287 \tabularnewline
0.12 & 50798.48 & 51528.8 & 52746 & 52746 & 57848.16 & 52746 & 47877.2 & 52746 \tabularnewline
0.13 & 62872.04 & 63284.4 & 65029 & 65029 & 66651.03 & 61857 & 63601.6 & 61857 \tabularnewline
0.14 & 73224.52 & 74089.4 & 73566 & 73566 & 77857.88 & 73566 & 78276.6 & 73566 \tabularnewline
0.15 & 80091.8 & 80414.75 & 80953 & 80953 & 82708 & 80953 & 79338.25 & 80953 \tabularnewline
0.16 & 84870.28 & 84881.8 & 84925 & 84925 & 84966.12 & 84853 & 84896.2 & 84853 \tabularnewline
0.17 & 85377.32 & 85928.4 & 85439 & 85439 & 92388.48 & 85439 & 94737.6 & 85439 \tabularnewline
0.18 & 97431.28 & 98194.3 & 99466 & 99466 & 99902.56 & 99466 & 96498.7 & 99466 \tabularnewline
0.19 & 100805.52 & 100871.45 & 101097 & 101097 & 101086.59 & 100750 & 100975.55 & 100750 \tabularnewline
0.2 & 109961.8 & 112178 & 112178 & 112178 & 112514.6 & 112178 & 112178 & 112178 \tabularnewline
0.21 & 113589.96 & 113996.1 & 114673 & 114673 & 116008.15 & 112739 & 113415.9 & 114673 \tabularnewline
0.22 & 120518.32 & 120629.2 & 120982 & 120982 & 120911.44 & 120478 & 120830.8 & 120478 \tabularnewline
0.23 & 122272.24 & 122684.4 & 122774 & 122774 & 123328.19 & 122774 & 121071.6 & 122774 \tabularnewline
0.24 & 125577.92 & 126693.2 & 128552 & 128552 & 128558.12 & 123905 & 125763.8 & 128552 \tabularnewline
0.25 & 128603 & 128614.5 & 128603 & 128626 & 128637.5 & 128603 & 128637.5 & 128603 \tabularnewline
0.26 & 129066.28 & 129235.8 & 129301 & 129301 & 129788.92 & 129301 & 128714.2 & 129301 \tabularnewline
0.27 & 130720.52 & 130851.2 & 131069 & 131069 & 131083.18 & 130585 & 130802.8 & 131069 \tabularnewline
0.28 & 132373.56 & 132578.2 & 132487 & 132487 & 132778.84 & 132487 & 132851.8 & 132487 \tabularnewline
0.29 & 135624.28 & 137012.8 & 137731 & 137731 & 137957.53 & 137731 & 133661.2 & 137731 \tabularnewline
0.3 & 138619.2 & 138693 & 138816 & 138816 & 138791.4 & 138570 & 138693 & 138693 \tabularnewline
0.31 & 139969.32 & 140648.15 & 140189 & 140189 & 141811.33 & 140189 & 142790.85 & 140189 \tabularnewline
0.32 & 144469.2 & 145282 & 145790 & 145790 & 146136.88 & 143250 & 143758 & 145790 \tabularnewline
0.33 & 148029.4 & 148225.75 & 148553 & 148553 & 148428.05 & 147958 & 148285.25 & 147958 \tabularnewline
0.34 & 148906.4 & 149022.3 & 149018 & 149018 & 149036.06 & 149018 & 149056.7 & 149018 \tabularnewline
0.35 & 150161 & 151123.5 & 151811 & 151811 & 151842.95 & 149061 & 149748.5 & 151811 \tabularnewline
0.36 & 152450.96 & 152459.6 & 152474 & 152474 & 152466.32 & 152450 & 152464.4 & 152450 \tabularnewline
0.37 & 153467.48 & 153956.65 & 153935 & 153935 & 154069.23 & 153935 & 154346.35 & 153935 \tabularnewline
0.38 & 154686.4 & 155064.5 & 155363 & 155363 & 155303.3 & 154368 & 154666.5 & 155363 \tabularnewline
0.39 & 155757.56 & 156142.9 & 155774 & 155774 & 156374.78 & 155774 & 156459.1 & 155774 \tabularnewline
0.4 & 157410.6 & 157799 & 157799 & 157799 & 157829 & 157799 & 157799 & 157799 \tabularnewline
0.41 & 157964.84 & 157991.9 & 158015 & 158015 & 158003.78 & 157949 & 157972.1 & 158015 \tabularnewline
0.42 & 158592.28 & 159899.2 & 158671 & 158671 & 160554.24 & 158671 & 161536.8 & 158671 \tabularnewline
0.43 & 164159.12 & 165311.95 & 165446 & 165446 & 165629.78 & 165446 & 162899.05 & 165446 \tabularnewline
0.44 & 167497.6 & 167524 & 167548 & 167548 & 167531.2 & 167488 & 167512 & 167548 \tabularnewline
0.45 & 168053.6 & 168337.25 & 168180 & 168180 & 168400.15 & 168180 & 168651.75 & 168180 \tabularnewline
0.46 & 169712.76 & 170657.6 & 170863 & 170863 & 170821.92 & 168809 & 169014.4 & 170863 \tabularnewline
0.47 & 171718.04 & 172147.15 & 172558 & 172558 & 172201.93 & 171645 & 172055.85 & 172558 \tabularnewline
0.48 & 173063.44 & 173491 & 173260 & 173260 & 173537.2 & 173260 & 174184 & 173260 \tabularnewline
0.49 & 175092.52 & 176014.7 & 176297 & 176297 & 176052.34 & 174415 & 174697.3 & 176297 \tabularnewline
0.5 & 176537 & 177711.5 & 176537 & 177711.5 & 177711.5 & 176537 & 177711.5 & 177711.5 \tabularnewline
0.51 & 180184.56 & 181106.55 & 180915 & 180915 & 181081.01 & 180915 & 182000.45 & 180915 \tabularnewline
0.52 & 182465 & 182972 & 183167 & 183167 & 182933 & 182192 & 182387 & 183167 \tabularnewline
0.53 & 184123.8 & 184275.85 & 184207 & 184207 & 184266.67 & 184207 & 184291.15 & 184207 \tabularnewline
0.54 & 184454.08 & 184572.1 & 184528 & 184528 & 184536.82 & 184528 & 184924.9 & 184528 \tabularnewline
0.55 & 184991.6 & 185053.75 & 185082 & 185082 & 185042.45 & 184969 & 184997.25 & 185082 \tabularnewline
0.56 & 185317.2 & 186270 & 185362 & 185362 & 185997.6 & 185362 & 186724 & 185362 \tabularnewline
0.57 & 187655.52 & 187758.8 & 187681 & 187681 & 187676.59 & 187632 & 189159.2 & 187681 \tabularnewline
0.58 & 189926.04 & 193256.4 & 194979 & 194979 & 192337.68 & 189237 & 190959.6 & 194979 \tabularnewline
0.59 & 196175.24 & 197926.05 & 196553 & 196553 & 197219.91 & 196553 & 199102.95 & 196553 \tabularnewline
0.6 & 200490 & 200511 & 200511 & 200511 & 200504 & 200476 & 200511 & 200511 \tabularnewline
0.61 & 201751.68 & 202326.3 & 202656 & 202656 & 202119.06 & 201714 & 202043.7 & 202656 \tabularnewline
0.62 & 207405.8 & 210145.3 & 209641 & 209641 & 209741.86 & 209641 & 210817.7 & 209641 \tabularnewline
0.63 & 211466.96 & 211752.35 & 211775 & 211775 & 211634.57 & 211322 & 211344.65 & 211775 \tabularnewline
0.64 & 212958.68 & 213609.8 & 213008 & 213008 & 213328.96 & 213008 & 213409.2 & 214011 \tabularnewline
0.65 & 214527.6 & 215064.25 & 214872 & 214872 & 214828.95 & 214872 & 215448.75 & 214872 \tabularnewline
0.66 & 215970.76 & 216877.6 & 217015 & 217015 & 216437.92 & 215641 & 215778.4 & 217015 \tabularnewline
0.67 & 219700.76 & 220137.4 & 220067 & 220067 & 220093.88 & 220067 & 220124.6 & 220195 \tabularnewline
0.68 & 220592.28 & 221438.2 & 220959 & 220959 & 220836.76 & 220959 & 222875.8 & 220959 \tabularnewline
0.69 & 223399.32 & 223590.45 & 223632 & 223632 & 223485.19 & 223355 & 223396.55 & 223632 \tabularnewline
0.7 & 226572.8 & 227957 & 227308 & 227308 & 227437.8 & 227308 & 227957 & 227308 \tabularnewline
0.71 & 229559.04 & 230976.9 & 230772 & 230772 & 230187.18 & 228606 & 231933.1 & 230772 \tabularnewline
0.72 & 232152.32 & 232281.2 & 232317 & 232317 & 232202.44 & 232138 & 232173.8 & 232317 \tabularnewline
0.73 & 233002.44 & 234588.85 & 233269 & 233269 & 233259.48 & 233269 & 234882.15 & 233269 \tabularnewline
0.74 & 236870.88 & 238085.5 & 238060 & 238060 & 237353.96 & 236202 & 238289.5 & 238060 \tabularnewline
0.75 & 238315 & 241229.5 & 238315 & 240258 & 239286.5 & 238315 & 239286.5 & 242201 \tabularnewline
0.76 & 245889.32 & 248008 & 247964 & 247964 & 247272.44 & 247964 & 248030 & 247964 \tabularnewline
0.77 & 248149.04 & 248386.75 & 248342 & 248342 & 248210.68 & 248074 & 249192.25 & 248342 \tabularnewline
0.78 & 249165.4 & 250716.8 & 249237 & 249237 & 249532.96 & 249237 & 249871.2 & 251351 \tabularnewline
0.79 & 251840.44 & 252569.75 & 252225 & 252225 & 252023.98 & 252225 & 252865.25 & 252225 \tabularnewline
0.8 & 253450.2 & 254411 & 254411 & 254411 & 253690.4 & 253210 & 254411 & 254411 \tabularnewline
0.81 & 255374.48 & 255779.65 & 255558 & 255558 & 255568.23 & 255558 & 255677.35 & 255899 \tabularnewline
0.82 & 255989.24 & 257881.9 & 256087 & 256087 & 256023.08 & 255899 & 260275.1 & 256087 \tabularnewline
0.83 & 262862.72 & 268345.7 & 268676 & 268676 & 263985.74 & 262070 & 262400.3 & 268676 \tabularnewline
0.84 & 269329.6 & 269607.4 & 269536 & 269536 & 269467.2 & 269536 & 269583.6 & 269655 \tabularnewline
0.85 & 272053 & 275702.75 & 275650 & 275650 & 272952.25 & 269655 & 275808.25 & 275650 \tabularnewline
0.86 & 275999.12 & 278968.7 & 279314 & 279314 & 276482.54 & 275861 & 276206.3 & 279314 \tabularnewline
0.87 & 285018.52 & 288732.6 & 287703 & 287703 & 286109.09 & 287703 & 288545.4 & 289575 \tabularnewline
0.88 & 289686.68 & 290106.8 & 289924 & 289924 & 289728.56 & 289575 & 290655.2 & 289924 \tabularnewline
0.89 & 290801.44 & 293025.9 & 290838 & 290838 & 291018.18 & 290838 & 291224.1 & 293412 \tabularnewline
0.9 & 296675.4 & 306591.5 & 298851 & 298851 & 297219.3 & 298851 & 306591.5 & 306591.5 \tabularnewline
0.91 & 314585.68 & 315689.75 & 315389 & 315389 & 314680.81 & 314332 & 317093.25 & 315389 \tabularnewline
0.92 & 317153.4 & 319150 & 317394 & 317394 & 317313.8 & 317394 & 317833 & 319589 \tabularnewline
0.93 & 322104.76 & 326605 & 324427 & 324427 & 322443.42 & 324427 & 327089 & 324427 \tabularnewline
0.94 & 329504.92 & 330843.6 & 330754 & 330754 & 329594.14 & 329267 & 331560.4 & 330754 \tabularnewline
0.95 & 331470.8 & 331812 & 331650 & 331650 & 331515.6 & 331650 & 331704 & 331866 \tabularnewline
0.96 & 335798.28 & 345384.6 & 340803 & 340803 & 336155.76 & 331866 & 347675.4 & 340803 \tabularnewline
0.97 & 352301.96 & 353406.3 & 352819 & 352819 & 352318.82 & 352257 & 363977.7 & 352819 \tabularnewline
0.98 & 361276.12 & 365913.9 & 364565 & 364565 & 361511.04 & 364565 & 365143.1 & 366492 \tabularnewline
0.99 & 367094.64 & 374244.8 & 368166 & 368166 & 367111.38 & 366492 & 379455.2 & 368166 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=151329&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]0.01[/C][C]0[/C][C]0[/C][C]0[/C][C]0[/C][C]0[/C][C]0[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]0.02[/C][C]0.28[/C][C]0.3[/C][C]1[/C][C]1[/C][C]26.22[/C][C]0[/C][C]0.7[/C][C]0[/C][/ROW]
[ROW][C]0.03[/C][C]90.24[/C][C]93.15[/C][C]98[/C][C]98[/C][C]191.45[/C][C]98[/C][C]5.85[/C][C]98[/C][/ROW]
[ROW][C]0.04[/C][C]344.12[/C][C]354.2[/C][C]455[/C][C]455[/C][C]722.28[/C][C]455[/C][C]303.8[/C][C]455[/C][/ROW]
[ROW][C]0.05[/C][C]2215[/C][C]2526.5[/C][C]7199[/C][C]7199[/C][C]8322.35[/C][C]969[/C][C]5641.5[/C][C]969[/C][/ROW]
[ROW][C]0.06[/C][C]13489.76[/C][C]13939.1[/C][C]14688[/C][C]14688[/C][C]16918.02[/C][C]14688[/C][C]7947.9[/C][C]14688[/C][/ROW]
[ROW][C]0.07[/C][C]19230.36[/C][C]19475.85[/C][C]21054[/C][C]21054[/C][C]21826.44[/C][C]17547[/C][C]19125.15[/C][C]21054[/C][/ROW]
[ROW][C]0.08[/C][C]23088[/C][C]23188[/C][C]24188[/C][C]24188[/C][C]24477.04[/C][C]22938[/C][C]23938[/C][C]22938[/C][/ROW]
[ROW][C]0.09[/C][C]29679.76[/C][C]30330.1[/C][C]31414[/C][C]31414[/C][C]32590.52[/C][C]31414[/C][C]25271.9[/C][C]31414[/C][/ROW]
[ROW][C]0.1[/C][C]35187.6[/C][C]35692[/C][C]38214[/C][C]38214[/C][C]39735.9[/C][C]33170[/C][C]35692[/C][C]35692[/C][/ROW]
[ROW][C]0.11[/C][C]43421.92[/C][C]43792.95[/C][C]46660[/C][C]46660[/C][C]46423.89[/C][C]43287[/C][C]46154.05[/C][C]43287[/C][/ROW]
[ROW][C]0.12[/C][C]50798.48[/C][C]51528.8[/C][C]52746[/C][C]52746[/C][C]57848.16[/C][C]52746[/C][C]47877.2[/C][C]52746[/C][/ROW]
[ROW][C]0.13[/C][C]62872.04[/C][C]63284.4[/C][C]65029[/C][C]65029[/C][C]66651.03[/C][C]61857[/C][C]63601.6[/C][C]61857[/C][/ROW]
[ROW][C]0.14[/C][C]73224.52[/C][C]74089.4[/C][C]73566[/C][C]73566[/C][C]77857.88[/C][C]73566[/C][C]78276.6[/C][C]73566[/C][/ROW]
[ROW][C]0.15[/C][C]80091.8[/C][C]80414.75[/C][C]80953[/C][C]80953[/C][C]82708[/C][C]80953[/C][C]79338.25[/C][C]80953[/C][/ROW]
[ROW][C]0.16[/C][C]84870.28[/C][C]84881.8[/C][C]84925[/C][C]84925[/C][C]84966.12[/C][C]84853[/C][C]84896.2[/C][C]84853[/C][/ROW]
[ROW][C]0.17[/C][C]85377.32[/C][C]85928.4[/C][C]85439[/C][C]85439[/C][C]92388.48[/C][C]85439[/C][C]94737.6[/C][C]85439[/C][/ROW]
[ROW][C]0.18[/C][C]97431.28[/C][C]98194.3[/C][C]99466[/C][C]99466[/C][C]99902.56[/C][C]99466[/C][C]96498.7[/C][C]99466[/C][/ROW]
[ROW][C]0.19[/C][C]100805.52[/C][C]100871.45[/C][C]101097[/C][C]101097[/C][C]101086.59[/C][C]100750[/C][C]100975.55[/C][C]100750[/C][/ROW]
[ROW][C]0.2[/C][C]109961.8[/C][C]112178[/C][C]112178[/C][C]112178[/C][C]112514.6[/C][C]112178[/C][C]112178[/C][C]112178[/C][/ROW]
[ROW][C]0.21[/C][C]113589.96[/C][C]113996.1[/C][C]114673[/C][C]114673[/C][C]116008.15[/C][C]112739[/C][C]113415.9[/C][C]114673[/C][/ROW]
[ROW][C]0.22[/C][C]120518.32[/C][C]120629.2[/C][C]120982[/C][C]120982[/C][C]120911.44[/C][C]120478[/C][C]120830.8[/C][C]120478[/C][/ROW]
[ROW][C]0.23[/C][C]122272.24[/C][C]122684.4[/C][C]122774[/C][C]122774[/C][C]123328.19[/C][C]122774[/C][C]121071.6[/C][C]122774[/C][/ROW]
[ROW][C]0.24[/C][C]125577.92[/C][C]126693.2[/C][C]128552[/C][C]128552[/C][C]128558.12[/C][C]123905[/C][C]125763.8[/C][C]128552[/C][/ROW]
[ROW][C]0.25[/C][C]128603[/C][C]128614.5[/C][C]128603[/C][C]128626[/C][C]128637.5[/C][C]128603[/C][C]128637.5[/C][C]128603[/C][/ROW]
[ROW][C]0.26[/C][C]129066.28[/C][C]129235.8[/C][C]129301[/C][C]129301[/C][C]129788.92[/C][C]129301[/C][C]128714.2[/C][C]129301[/C][/ROW]
[ROW][C]0.27[/C][C]130720.52[/C][C]130851.2[/C][C]131069[/C][C]131069[/C][C]131083.18[/C][C]130585[/C][C]130802.8[/C][C]131069[/C][/ROW]
[ROW][C]0.28[/C][C]132373.56[/C][C]132578.2[/C][C]132487[/C][C]132487[/C][C]132778.84[/C][C]132487[/C][C]132851.8[/C][C]132487[/C][/ROW]
[ROW][C]0.29[/C][C]135624.28[/C][C]137012.8[/C][C]137731[/C][C]137731[/C][C]137957.53[/C][C]137731[/C][C]133661.2[/C][C]137731[/C][/ROW]
[ROW][C]0.3[/C][C]138619.2[/C][C]138693[/C][C]138816[/C][C]138816[/C][C]138791.4[/C][C]138570[/C][C]138693[/C][C]138693[/C][/ROW]
[ROW][C]0.31[/C][C]139969.32[/C][C]140648.15[/C][C]140189[/C][C]140189[/C][C]141811.33[/C][C]140189[/C][C]142790.85[/C][C]140189[/C][/ROW]
[ROW][C]0.32[/C][C]144469.2[/C][C]145282[/C][C]145790[/C][C]145790[/C][C]146136.88[/C][C]143250[/C][C]143758[/C][C]145790[/C][/ROW]
[ROW][C]0.33[/C][C]148029.4[/C][C]148225.75[/C][C]148553[/C][C]148553[/C][C]148428.05[/C][C]147958[/C][C]148285.25[/C][C]147958[/C][/ROW]
[ROW][C]0.34[/C][C]148906.4[/C][C]149022.3[/C][C]149018[/C][C]149018[/C][C]149036.06[/C][C]149018[/C][C]149056.7[/C][C]149018[/C][/ROW]
[ROW][C]0.35[/C][C]150161[/C][C]151123.5[/C][C]151811[/C][C]151811[/C][C]151842.95[/C][C]149061[/C][C]149748.5[/C][C]151811[/C][/ROW]
[ROW][C]0.36[/C][C]152450.96[/C][C]152459.6[/C][C]152474[/C][C]152474[/C][C]152466.32[/C][C]152450[/C][C]152464.4[/C][C]152450[/C][/ROW]
[ROW][C]0.37[/C][C]153467.48[/C][C]153956.65[/C][C]153935[/C][C]153935[/C][C]154069.23[/C][C]153935[/C][C]154346.35[/C][C]153935[/C][/ROW]
[ROW][C]0.38[/C][C]154686.4[/C][C]155064.5[/C][C]155363[/C][C]155363[/C][C]155303.3[/C][C]154368[/C][C]154666.5[/C][C]155363[/C][/ROW]
[ROW][C]0.39[/C][C]155757.56[/C][C]156142.9[/C][C]155774[/C][C]155774[/C][C]156374.78[/C][C]155774[/C][C]156459.1[/C][C]155774[/C][/ROW]
[ROW][C]0.4[/C][C]157410.6[/C][C]157799[/C][C]157799[/C][C]157799[/C][C]157829[/C][C]157799[/C][C]157799[/C][C]157799[/C][/ROW]
[ROW][C]0.41[/C][C]157964.84[/C][C]157991.9[/C][C]158015[/C][C]158015[/C][C]158003.78[/C][C]157949[/C][C]157972.1[/C][C]158015[/C][/ROW]
[ROW][C]0.42[/C][C]158592.28[/C][C]159899.2[/C][C]158671[/C][C]158671[/C][C]160554.24[/C][C]158671[/C][C]161536.8[/C][C]158671[/C][/ROW]
[ROW][C]0.43[/C][C]164159.12[/C][C]165311.95[/C][C]165446[/C][C]165446[/C][C]165629.78[/C][C]165446[/C][C]162899.05[/C][C]165446[/C][/ROW]
[ROW][C]0.44[/C][C]167497.6[/C][C]167524[/C][C]167548[/C][C]167548[/C][C]167531.2[/C][C]167488[/C][C]167512[/C][C]167548[/C][/ROW]
[ROW][C]0.45[/C][C]168053.6[/C][C]168337.25[/C][C]168180[/C][C]168180[/C][C]168400.15[/C][C]168180[/C][C]168651.75[/C][C]168180[/C][/ROW]
[ROW][C]0.46[/C][C]169712.76[/C][C]170657.6[/C][C]170863[/C][C]170863[/C][C]170821.92[/C][C]168809[/C][C]169014.4[/C][C]170863[/C][/ROW]
[ROW][C]0.47[/C][C]171718.04[/C][C]172147.15[/C][C]172558[/C][C]172558[/C][C]172201.93[/C][C]171645[/C][C]172055.85[/C][C]172558[/C][/ROW]
[ROW][C]0.48[/C][C]173063.44[/C][C]173491[/C][C]173260[/C][C]173260[/C][C]173537.2[/C][C]173260[/C][C]174184[/C][C]173260[/C][/ROW]
[ROW][C]0.49[/C][C]175092.52[/C][C]176014.7[/C][C]176297[/C][C]176297[/C][C]176052.34[/C][C]174415[/C][C]174697.3[/C][C]176297[/C][/ROW]
[ROW][C]0.5[/C][C]176537[/C][C]177711.5[/C][C]176537[/C][C]177711.5[/C][C]177711.5[/C][C]176537[/C][C]177711.5[/C][C]177711.5[/C][/ROW]
[ROW][C]0.51[/C][C]180184.56[/C][C]181106.55[/C][C]180915[/C][C]180915[/C][C]181081.01[/C][C]180915[/C][C]182000.45[/C][C]180915[/C][/ROW]
[ROW][C]0.52[/C][C]182465[/C][C]182972[/C][C]183167[/C][C]183167[/C][C]182933[/C][C]182192[/C][C]182387[/C][C]183167[/C][/ROW]
[ROW][C]0.53[/C][C]184123.8[/C][C]184275.85[/C][C]184207[/C][C]184207[/C][C]184266.67[/C][C]184207[/C][C]184291.15[/C][C]184207[/C][/ROW]
[ROW][C]0.54[/C][C]184454.08[/C][C]184572.1[/C][C]184528[/C][C]184528[/C][C]184536.82[/C][C]184528[/C][C]184924.9[/C][C]184528[/C][/ROW]
[ROW][C]0.55[/C][C]184991.6[/C][C]185053.75[/C][C]185082[/C][C]185082[/C][C]185042.45[/C][C]184969[/C][C]184997.25[/C][C]185082[/C][/ROW]
[ROW][C]0.56[/C][C]185317.2[/C][C]186270[/C][C]185362[/C][C]185362[/C][C]185997.6[/C][C]185362[/C][C]186724[/C][C]185362[/C][/ROW]
[ROW][C]0.57[/C][C]187655.52[/C][C]187758.8[/C][C]187681[/C][C]187681[/C][C]187676.59[/C][C]187632[/C][C]189159.2[/C][C]187681[/C][/ROW]
[ROW][C]0.58[/C][C]189926.04[/C][C]193256.4[/C][C]194979[/C][C]194979[/C][C]192337.68[/C][C]189237[/C][C]190959.6[/C][C]194979[/C][/ROW]
[ROW][C]0.59[/C][C]196175.24[/C][C]197926.05[/C][C]196553[/C][C]196553[/C][C]197219.91[/C][C]196553[/C][C]199102.95[/C][C]196553[/C][/ROW]
[ROW][C]0.6[/C][C]200490[/C][C]200511[/C][C]200511[/C][C]200511[/C][C]200504[/C][C]200476[/C][C]200511[/C][C]200511[/C][/ROW]
[ROW][C]0.61[/C][C]201751.68[/C][C]202326.3[/C][C]202656[/C][C]202656[/C][C]202119.06[/C][C]201714[/C][C]202043.7[/C][C]202656[/C][/ROW]
[ROW][C]0.62[/C][C]207405.8[/C][C]210145.3[/C][C]209641[/C][C]209641[/C][C]209741.86[/C][C]209641[/C][C]210817.7[/C][C]209641[/C][/ROW]
[ROW][C]0.63[/C][C]211466.96[/C][C]211752.35[/C][C]211775[/C][C]211775[/C][C]211634.57[/C][C]211322[/C][C]211344.65[/C][C]211775[/C][/ROW]
[ROW][C]0.64[/C][C]212958.68[/C][C]213609.8[/C][C]213008[/C][C]213008[/C][C]213328.96[/C][C]213008[/C][C]213409.2[/C][C]214011[/C][/ROW]
[ROW][C]0.65[/C][C]214527.6[/C][C]215064.25[/C][C]214872[/C][C]214872[/C][C]214828.95[/C][C]214872[/C][C]215448.75[/C][C]214872[/C][/ROW]
[ROW][C]0.66[/C][C]215970.76[/C][C]216877.6[/C][C]217015[/C][C]217015[/C][C]216437.92[/C][C]215641[/C][C]215778.4[/C][C]217015[/C][/ROW]
[ROW][C]0.67[/C][C]219700.76[/C][C]220137.4[/C][C]220067[/C][C]220067[/C][C]220093.88[/C][C]220067[/C][C]220124.6[/C][C]220195[/C][/ROW]
[ROW][C]0.68[/C][C]220592.28[/C][C]221438.2[/C][C]220959[/C][C]220959[/C][C]220836.76[/C][C]220959[/C][C]222875.8[/C][C]220959[/C][/ROW]
[ROW][C]0.69[/C][C]223399.32[/C][C]223590.45[/C][C]223632[/C][C]223632[/C][C]223485.19[/C][C]223355[/C][C]223396.55[/C][C]223632[/C][/ROW]
[ROW][C]0.7[/C][C]226572.8[/C][C]227957[/C][C]227308[/C][C]227308[/C][C]227437.8[/C][C]227308[/C][C]227957[/C][C]227308[/C][/ROW]
[ROW][C]0.71[/C][C]229559.04[/C][C]230976.9[/C][C]230772[/C][C]230772[/C][C]230187.18[/C][C]228606[/C][C]231933.1[/C][C]230772[/C][/ROW]
[ROW][C]0.72[/C][C]232152.32[/C][C]232281.2[/C][C]232317[/C][C]232317[/C][C]232202.44[/C][C]232138[/C][C]232173.8[/C][C]232317[/C][/ROW]
[ROW][C]0.73[/C][C]233002.44[/C][C]234588.85[/C][C]233269[/C][C]233269[/C][C]233259.48[/C][C]233269[/C][C]234882.15[/C][C]233269[/C][/ROW]
[ROW][C]0.74[/C][C]236870.88[/C][C]238085.5[/C][C]238060[/C][C]238060[/C][C]237353.96[/C][C]236202[/C][C]238289.5[/C][C]238060[/C][/ROW]
[ROW][C]0.75[/C][C]238315[/C][C]241229.5[/C][C]238315[/C][C]240258[/C][C]239286.5[/C][C]238315[/C][C]239286.5[/C][C]242201[/C][/ROW]
[ROW][C]0.76[/C][C]245889.32[/C][C]248008[/C][C]247964[/C][C]247964[/C][C]247272.44[/C][C]247964[/C][C]248030[/C][C]247964[/C][/ROW]
[ROW][C]0.77[/C][C]248149.04[/C][C]248386.75[/C][C]248342[/C][C]248342[/C][C]248210.68[/C][C]248074[/C][C]249192.25[/C][C]248342[/C][/ROW]
[ROW][C]0.78[/C][C]249165.4[/C][C]250716.8[/C][C]249237[/C][C]249237[/C][C]249532.96[/C][C]249237[/C][C]249871.2[/C][C]251351[/C][/ROW]
[ROW][C]0.79[/C][C]251840.44[/C][C]252569.75[/C][C]252225[/C][C]252225[/C][C]252023.98[/C][C]252225[/C][C]252865.25[/C][C]252225[/C][/ROW]
[ROW][C]0.8[/C][C]253450.2[/C][C]254411[/C][C]254411[/C][C]254411[/C][C]253690.4[/C][C]253210[/C][C]254411[/C][C]254411[/C][/ROW]
[ROW][C]0.81[/C][C]255374.48[/C][C]255779.65[/C][C]255558[/C][C]255558[/C][C]255568.23[/C][C]255558[/C][C]255677.35[/C][C]255899[/C][/ROW]
[ROW][C]0.82[/C][C]255989.24[/C][C]257881.9[/C][C]256087[/C][C]256087[/C][C]256023.08[/C][C]255899[/C][C]260275.1[/C][C]256087[/C][/ROW]
[ROW][C]0.83[/C][C]262862.72[/C][C]268345.7[/C][C]268676[/C][C]268676[/C][C]263985.74[/C][C]262070[/C][C]262400.3[/C][C]268676[/C][/ROW]
[ROW][C]0.84[/C][C]269329.6[/C][C]269607.4[/C][C]269536[/C][C]269536[/C][C]269467.2[/C][C]269536[/C][C]269583.6[/C][C]269655[/C][/ROW]
[ROW][C]0.85[/C][C]272053[/C][C]275702.75[/C][C]275650[/C][C]275650[/C][C]272952.25[/C][C]269655[/C][C]275808.25[/C][C]275650[/C][/ROW]
[ROW][C]0.86[/C][C]275999.12[/C][C]278968.7[/C][C]279314[/C][C]279314[/C][C]276482.54[/C][C]275861[/C][C]276206.3[/C][C]279314[/C][/ROW]
[ROW][C]0.87[/C][C]285018.52[/C][C]288732.6[/C][C]287703[/C][C]287703[/C][C]286109.09[/C][C]287703[/C][C]288545.4[/C][C]289575[/C][/ROW]
[ROW][C]0.88[/C][C]289686.68[/C][C]290106.8[/C][C]289924[/C][C]289924[/C][C]289728.56[/C][C]289575[/C][C]290655.2[/C][C]289924[/C][/ROW]
[ROW][C]0.89[/C][C]290801.44[/C][C]293025.9[/C][C]290838[/C][C]290838[/C][C]291018.18[/C][C]290838[/C][C]291224.1[/C][C]293412[/C][/ROW]
[ROW][C]0.9[/C][C]296675.4[/C][C]306591.5[/C][C]298851[/C][C]298851[/C][C]297219.3[/C][C]298851[/C][C]306591.5[/C][C]306591.5[/C][/ROW]
[ROW][C]0.91[/C][C]314585.68[/C][C]315689.75[/C][C]315389[/C][C]315389[/C][C]314680.81[/C][C]314332[/C][C]317093.25[/C][C]315389[/C][/ROW]
[ROW][C]0.92[/C][C]317153.4[/C][C]319150[/C][C]317394[/C][C]317394[/C][C]317313.8[/C][C]317394[/C][C]317833[/C][C]319589[/C][/ROW]
[ROW][C]0.93[/C][C]322104.76[/C][C]326605[/C][C]324427[/C][C]324427[/C][C]322443.42[/C][C]324427[/C][C]327089[/C][C]324427[/C][/ROW]
[ROW][C]0.94[/C][C]329504.92[/C][C]330843.6[/C][C]330754[/C][C]330754[/C][C]329594.14[/C][C]329267[/C][C]331560.4[/C][C]330754[/C][/ROW]
[ROW][C]0.95[/C][C]331470.8[/C][C]331812[/C][C]331650[/C][C]331650[/C][C]331515.6[/C][C]331650[/C][C]331704[/C][C]331866[/C][/ROW]
[ROW][C]0.96[/C][C]335798.28[/C][C]345384.6[/C][C]340803[/C][C]340803[/C][C]336155.76[/C][C]331866[/C][C]347675.4[/C][C]340803[/C][/ROW]
[ROW][C]0.97[/C][C]352301.96[/C][C]353406.3[/C][C]352819[/C][C]352819[/C][C]352318.82[/C][C]352257[/C][C]363977.7[/C][C]352819[/C][/ROW]
[ROW][C]0.98[/C][C]361276.12[/C][C]365913.9[/C][C]364565[/C][C]364565[/C][C]361511.04[/C][C]364565[/C][C]365143.1[/C][C]366492[/C][/ROW]
[ROW][C]0.99[/C][C]367094.64[/C][C]374244.8[/C][C]368166[/C][C]368166[/C][C]367111.38[/C][C]366492[/C][C]379455.2[/C][C]368166[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=151329&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=151329&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)
0.0100000000
0.020.280.31126.2200.70
0.0390.2493.159898191.45985.8598
0.04344.12354.2455455722.28455303.8455
0.0522152526.5719971998322.359695641.5969
0.0613489.7613939.1146881468816918.02146887947.914688
0.0719230.3619475.85210542105421826.441754719125.1521054
0.082308823188241882418824477.04229382393822938
0.0929679.7630330.1314143141432590.523141425271.931414
0.135187.635692382143821439735.9331703569235692
0.1143421.9243792.95466604666046423.894328746154.0543287
0.1250798.4851528.8527465274657848.165274647877.252746
0.1362872.0463284.4650296502966651.036185763601.661857
0.1473224.5274089.4735667356677857.887356678276.673566
0.1580091.880414.758095380953827088095379338.2580953
0.1684870.2884881.8849258492584966.128485384896.284853
0.1785377.3285928.4854398543992388.488543994737.685439
0.1897431.2898194.3994669946699902.569946696498.799466
0.19100805.52100871.45101097101097101086.59100750100975.55100750
0.2109961.8112178112178112178112514.6112178112178112178
0.21113589.96113996.1114673114673116008.15112739113415.9114673
0.22120518.32120629.2120982120982120911.44120478120830.8120478
0.23122272.24122684.4122774122774123328.19122774121071.6122774
0.24125577.92126693.2128552128552128558.12123905125763.8128552
0.25128603128614.5128603128626128637.5128603128637.5128603
0.26129066.28129235.8129301129301129788.92129301128714.2129301
0.27130720.52130851.2131069131069131083.18130585130802.8131069
0.28132373.56132578.2132487132487132778.84132487132851.8132487
0.29135624.28137012.8137731137731137957.53137731133661.2137731
0.3138619.2138693138816138816138791.4138570138693138693
0.31139969.32140648.15140189140189141811.33140189142790.85140189
0.32144469.2145282145790145790146136.88143250143758145790
0.33148029.4148225.75148553148553148428.05147958148285.25147958
0.34148906.4149022.3149018149018149036.06149018149056.7149018
0.35150161151123.5151811151811151842.95149061149748.5151811
0.36152450.96152459.6152474152474152466.32152450152464.4152450
0.37153467.48153956.65153935153935154069.23153935154346.35153935
0.38154686.4155064.5155363155363155303.3154368154666.5155363
0.39155757.56156142.9155774155774156374.78155774156459.1155774
0.4157410.6157799157799157799157829157799157799157799
0.41157964.84157991.9158015158015158003.78157949157972.1158015
0.42158592.28159899.2158671158671160554.24158671161536.8158671
0.43164159.12165311.95165446165446165629.78165446162899.05165446
0.44167497.6167524167548167548167531.2167488167512167548
0.45168053.6168337.25168180168180168400.15168180168651.75168180
0.46169712.76170657.6170863170863170821.92168809169014.4170863
0.47171718.04172147.15172558172558172201.93171645172055.85172558
0.48173063.44173491173260173260173537.2173260174184173260
0.49175092.52176014.7176297176297176052.34174415174697.3176297
0.5176537177711.5176537177711.5177711.5176537177711.5177711.5
0.51180184.56181106.55180915180915181081.01180915182000.45180915
0.52182465182972183167183167182933182192182387183167
0.53184123.8184275.85184207184207184266.67184207184291.15184207
0.54184454.08184572.1184528184528184536.82184528184924.9184528
0.55184991.6185053.75185082185082185042.45184969184997.25185082
0.56185317.2186270185362185362185997.6185362186724185362
0.57187655.52187758.8187681187681187676.59187632189159.2187681
0.58189926.04193256.4194979194979192337.68189237190959.6194979
0.59196175.24197926.05196553196553197219.91196553199102.95196553
0.6200490200511200511200511200504200476200511200511
0.61201751.68202326.3202656202656202119.06201714202043.7202656
0.62207405.8210145.3209641209641209741.86209641210817.7209641
0.63211466.96211752.35211775211775211634.57211322211344.65211775
0.64212958.68213609.8213008213008213328.96213008213409.2214011
0.65214527.6215064.25214872214872214828.95214872215448.75214872
0.66215970.76216877.6217015217015216437.92215641215778.4217015
0.67219700.76220137.4220067220067220093.88220067220124.6220195
0.68220592.28221438.2220959220959220836.76220959222875.8220959
0.69223399.32223590.45223632223632223485.19223355223396.55223632
0.7226572.8227957227308227308227437.8227308227957227308
0.71229559.04230976.9230772230772230187.18228606231933.1230772
0.72232152.32232281.2232317232317232202.44232138232173.8232317
0.73233002.44234588.85233269233269233259.48233269234882.15233269
0.74236870.88238085.5238060238060237353.96236202238289.5238060
0.75238315241229.5238315240258239286.5238315239286.5242201
0.76245889.32248008247964247964247272.44247964248030247964
0.77248149.04248386.75248342248342248210.68248074249192.25248342
0.78249165.4250716.8249237249237249532.96249237249871.2251351
0.79251840.44252569.75252225252225252023.98252225252865.25252225
0.8253450.2254411254411254411253690.4253210254411254411
0.81255374.48255779.65255558255558255568.23255558255677.35255899
0.82255989.24257881.9256087256087256023.08255899260275.1256087
0.83262862.72268345.7268676268676263985.74262070262400.3268676
0.84269329.6269607.4269536269536269467.2269536269583.6269655
0.85272053275702.75275650275650272952.25269655275808.25275650
0.86275999.12278968.7279314279314276482.54275861276206.3279314
0.87285018.52288732.6287703287703286109.09287703288545.4289575
0.88289686.68290106.8289924289924289728.56289575290655.2289924
0.89290801.44293025.9290838290838291018.18290838291224.1293412
0.9296675.4306591.5298851298851297219.3298851306591.5306591.5
0.91314585.68315689.75315389315389314680.81314332317093.25315389
0.92317153.4319150317394317394317313.8317394317833319589
0.93322104.76326605324427324427322443.42324427327089324427
0.94329504.92330843.6330754330754329594.14329267331560.4330754
0.95331470.8331812331650331650331515.6331650331704331866
0.96335798.28345384.6340803340803336155.76331866347675.4340803
0.97352301.96353406.3352819352819352318.82352257363977.7352819
0.98361276.12365913.9364565364565361511.04364565365143.1366492
0.99367094.64374244.8368166368166367111.38366492379455.2368166



Parameters (Session):
par1 = 1 ; par2 = 1 ; par3 = 2 ; par4 = 1 ;
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')