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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 computationMon, 20 Dec 2010 15:15:00 +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/Dec/20/t1292857966ao9xpcl5yw9hfkk.htm/, Retrieved Fri, 03 May 2024 22:21:52 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=112991, Retrieved Fri, 03 May 2024 22:21:52 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact176
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Percentiles] [qq-plot usa] [2010-11-24 10:29:50] [dcd1a35a8985187cb1e9de87792355b2]
-       [Percentiles] [] [2010-11-26 12:42:08] [897115520fe7b6114489bc0eeed64548]
-    D    [Percentiles] [] [2010-11-26 15:22:37] [bfba28641a1925a39268a5d6ad3b00f2]
-           [Percentiles] [] [2010-11-26 20:09:04] [f9d37301ea08122b4d103fe011f2b292]
-    D          [Percentiles] [] [2010-12-20 15:15:00] [a90f4492977f0c16b1e3c8673c334a45] [Current]
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Dataseries X:
313737
312276
309391
302950
300316
304035
333476
337698
335932
323931
313927
314485
313218
309664
302963
298989
298423
301631
329765
335083
327616
309119
295916
291413
291542
284678
276475
272566
264981
263290
296806
303598
286994
276427
266424
267153
268381
262522
255542
253158
243803
250741
280445
285257
270976
261076
255603
260376
263903
264291
263276
262572
256167
264221
293860
300713
287224
275902
271115
277509
279681




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=112991&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=112991&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=112991&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)
0.02245329.36245468.12250741250741251224.4243803249075.88243803
0.04251804.48251901.16253158253158254111.6250741251997.84250741
0.06254731.44254874.48255542255542255578.6255542253825.52255542
0.08255595.68255600.56255603255603256054.2255603255544.44255603
0.1256587.9257008.8260376260376260376256167259534.2256167
0.12260600260684261076261076261365.2260376260768260376
0.14261856.84262059.28262522262522262542262522261538.72262522
0.16262560262568262572262572262994.4262572262526262572
0.18263261.92263278.24263276263276263287.2263276263287.76263276
0.2263412.6263535.2263903263903263903263290263657.8263290
0.22264036.56264106.52264221264221264235263903264017.48264221
0.24264265.8264282.6264291264291264567264291264229.4264291
0.26264884.4265154.16264981264981265846.8264981266250.84264981
0.28266482.32266686.44267153267153267007.2266424266890.56266424
0.3267521.4267889.8268381268381268381267153267644.2268381
0.32269730.4270560.8270976270976271003.8270976268796.2270976
0.34271078.86271231.08271115271115271695.4271115272449.92271115
0.36272507.96273633.52272566272566274567.6272566274834.48272566
0.38275996.5276196276427276427276322275902276133276427
0.4276446.2276465.4276475276475276475276427276436.6276475
0.42277116.08277595.88277509277509277943.4277509279594.12277509
0.44279333.48279894.92279681279681279986.6279681280231.08279681
0.46280698.98282646.16284678284678282984.8280445282476.84284678
0.48284840.12285118.04285257285257285141.2284678284816.96285257
0.5286125.5286994286994286994286994286994286994286994
0.52287159.6288229.36287224287224288061.8287224290407.64287224
0.54291161.66291474.92291413291413291464.6291413291480.08291413
0.56291912.88293210.96293860293860292932.8291542292191.04293860
0.58294641.28295833.76295916295916295504.8293860293942.24295916
0.6296450297129.4296806296806296806296806298099.6296806
0.62298131.94298672.04298423298423298536.2298423298739.96298423
0.64299042.08299891.36300316300316299519.8298989299413.64300316
0.66300419.22300681.24300713300713300554.2300316300347.76300713
0.68301153.64301842.04301631301631301447.4300713302738.96301631
0.7302554.3302955.2302950302950302950302950302957.8302950
0.72302961.96303369.4302963302963303090302963303191.6303598
0.74303659.18303982.56304035304035303772.8303598303650.44304035
0.76305865.24309151.64309119309119307085.4304035309358.36309119
0.78309276.76309489.28309391309391309336.6309391309565.72309391
0.8309609.4311231.2309664309664309664309664310708.8312276
0.82312294.84313067.28313218313218312464.4312276312426.72313218
0.84313342.56313752.2313737313737313425.6313218313911.8313737
0.86313824.4314105.56313927313927313851313737314306.44313927
0.88314306.44319774.76314485314485314373.4314485318641.24323931
0.9322986.4326879323931323931323931323931324668327616
0.92327873.88329913.44329765329765328045.8327616333327.56329765
0.94331026.74333925.96333476333476331249.4329765334633.04333476
0.96334375.92335524.48335083335083334440.2335083335490.52335932
0.98335745.22337274.16335932335932335762.2335932336355.84337698

\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 & 245329.36 & 245468.12 & 250741 & 250741 & 251224.4 & 243803 & 249075.88 & 243803 \tabularnewline
0.04 & 251804.48 & 251901.16 & 253158 & 253158 & 254111.6 & 250741 & 251997.84 & 250741 \tabularnewline
0.06 & 254731.44 & 254874.48 & 255542 & 255542 & 255578.6 & 255542 & 253825.52 & 255542 \tabularnewline
0.08 & 255595.68 & 255600.56 & 255603 & 255603 & 256054.2 & 255603 & 255544.44 & 255603 \tabularnewline
0.1 & 256587.9 & 257008.8 & 260376 & 260376 & 260376 & 256167 & 259534.2 & 256167 \tabularnewline
0.12 & 260600 & 260684 & 261076 & 261076 & 261365.2 & 260376 & 260768 & 260376 \tabularnewline
0.14 & 261856.84 & 262059.28 & 262522 & 262522 & 262542 & 262522 & 261538.72 & 262522 \tabularnewline
0.16 & 262560 & 262568 & 262572 & 262572 & 262994.4 & 262572 & 262526 & 262572 \tabularnewline
0.18 & 263261.92 & 263278.24 & 263276 & 263276 & 263287.2 & 263276 & 263287.76 & 263276 \tabularnewline
0.2 & 263412.6 & 263535.2 & 263903 & 263903 & 263903 & 263290 & 263657.8 & 263290 \tabularnewline
0.22 & 264036.56 & 264106.52 & 264221 & 264221 & 264235 & 263903 & 264017.48 & 264221 \tabularnewline
0.24 & 264265.8 & 264282.6 & 264291 & 264291 & 264567 & 264291 & 264229.4 & 264291 \tabularnewline
0.26 & 264884.4 & 265154.16 & 264981 & 264981 & 265846.8 & 264981 & 266250.84 & 264981 \tabularnewline
0.28 & 266482.32 & 266686.44 & 267153 & 267153 & 267007.2 & 266424 & 266890.56 & 266424 \tabularnewline
0.3 & 267521.4 & 267889.8 & 268381 & 268381 & 268381 & 267153 & 267644.2 & 268381 \tabularnewline
0.32 & 269730.4 & 270560.8 & 270976 & 270976 & 271003.8 & 270976 & 268796.2 & 270976 \tabularnewline
0.34 & 271078.86 & 271231.08 & 271115 & 271115 & 271695.4 & 271115 & 272449.92 & 271115 \tabularnewline
0.36 & 272507.96 & 273633.52 & 272566 & 272566 & 274567.6 & 272566 & 274834.48 & 272566 \tabularnewline
0.38 & 275996.5 & 276196 & 276427 & 276427 & 276322 & 275902 & 276133 & 276427 \tabularnewline
0.4 & 276446.2 & 276465.4 & 276475 & 276475 & 276475 & 276427 & 276436.6 & 276475 \tabularnewline
0.42 & 277116.08 & 277595.88 & 277509 & 277509 & 277943.4 & 277509 & 279594.12 & 277509 \tabularnewline
0.44 & 279333.48 & 279894.92 & 279681 & 279681 & 279986.6 & 279681 & 280231.08 & 279681 \tabularnewline
0.46 & 280698.98 & 282646.16 & 284678 & 284678 & 282984.8 & 280445 & 282476.84 & 284678 \tabularnewline
0.48 & 284840.12 & 285118.04 & 285257 & 285257 & 285141.2 & 284678 & 284816.96 & 285257 \tabularnewline
0.5 & 286125.5 & 286994 & 286994 & 286994 & 286994 & 286994 & 286994 & 286994 \tabularnewline
0.52 & 287159.6 & 288229.36 & 287224 & 287224 & 288061.8 & 287224 & 290407.64 & 287224 \tabularnewline
0.54 & 291161.66 & 291474.92 & 291413 & 291413 & 291464.6 & 291413 & 291480.08 & 291413 \tabularnewline
0.56 & 291912.88 & 293210.96 & 293860 & 293860 & 292932.8 & 291542 & 292191.04 & 293860 \tabularnewline
0.58 & 294641.28 & 295833.76 & 295916 & 295916 & 295504.8 & 293860 & 293942.24 & 295916 \tabularnewline
0.6 & 296450 & 297129.4 & 296806 & 296806 & 296806 & 296806 & 298099.6 & 296806 \tabularnewline
0.62 & 298131.94 & 298672.04 & 298423 & 298423 & 298536.2 & 298423 & 298739.96 & 298423 \tabularnewline
0.64 & 299042.08 & 299891.36 & 300316 & 300316 & 299519.8 & 298989 & 299413.64 & 300316 \tabularnewline
0.66 & 300419.22 & 300681.24 & 300713 & 300713 & 300554.2 & 300316 & 300347.76 & 300713 \tabularnewline
0.68 & 301153.64 & 301842.04 & 301631 & 301631 & 301447.4 & 300713 & 302738.96 & 301631 \tabularnewline
0.7 & 302554.3 & 302955.2 & 302950 & 302950 & 302950 & 302950 & 302957.8 & 302950 \tabularnewline
0.72 & 302961.96 & 303369.4 & 302963 & 302963 & 303090 & 302963 & 303191.6 & 303598 \tabularnewline
0.74 & 303659.18 & 303982.56 & 304035 & 304035 & 303772.8 & 303598 & 303650.44 & 304035 \tabularnewline
0.76 & 305865.24 & 309151.64 & 309119 & 309119 & 307085.4 & 304035 & 309358.36 & 309119 \tabularnewline
0.78 & 309276.76 & 309489.28 & 309391 & 309391 & 309336.6 & 309391 & 309565.72 & 309391 \tabularnewline
0.8 & 309609.4 & 311231.2 & 309664 & 309664 & 309664 & 309664 & 310708.8 & 312276 \tabularnewline
0.82 & 312294.84 & 313067.28 & 313218 & 313218 & 312464.4 & 312276 & 312426.72 & 313218 \tabularnewline
0.84 & 313342.56 & 313752.2 & 313737 & 313737 & 313425.6 & 313218 & 313911.8 & 313737 \tabularnewline
0.86 & 313824.4 & 314105.56 & 313927 & 313927 & 313851 & 313737 & 314306.44 & 313927 \tabularnewline
0.88 & 314306.44 & 319774.76 & 314485 & 314485 & 314373.4 & 314485 & 318641.24 & 323931 \tabularnewline
0.9 & 322986.4 & 326879 & 323931 & 323931 & 323931 & 323931 & 324668 & 327616 \tabularnewline
0.92 & 327873.88 & 329913.44 & 329765 & 329765 & 328045.8 & 327616 & 333327.56 & 329765 \tabularnewline
0.94 & 331026.74 & 333925.96 & 333476 & 333476 & 331249.4 & 329765 & 334633.04 & 333476 \tabularnewline
0.96 & 334375.92 & 335524.48 & 335083 & 335083 & 334440.2 & 335083 & 335490.52 & 335932 \tabularnewline
0.98 & 335745.22 & 337274.16 & 335932 & 335932 & 335762.2 & 335932 & 336355.84 & 337698 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=112991&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]245329.36[/C][C]245468.12[/C][C]250741[/C][C]250741[/C][C]251224.4[/C][C]243803[/C][C]249075.88[/C][C]243803[/C][/ROW]
[ROW][C]0.04[/C][C]251804.48[/C][C]251901.16[/C][C]253158[/C][C]253158[/C][C]254111.6[/C][C]250741[/C][C]251997.84[/C][C]250741[/C][/ROW]
[ROW][C]0.06[/C][C]254731.44[/C][C]254874.48[/C][C]255542[/C][C]255542[/C][C]255578.6[/C][C]255542[/C][C]253825.52[/C][C]255542[/C][/ROW]
[ROW][C]0.08[/C][C]255595.68[/C][C]255600.56[/C][C]255603[/C][C]255603[/C][C]256054.2[/C][C]255603[/C][C]255544.44[/C][C]255603[/C][/ROW]
[ROW][C]0.1[/C][C]256587.9[/C][C]257008.8[/C][C]260376[/C][C]260376[/C][C]260376[/C][C]256167[/C][C]259534.2[/C][C]256167[/C][/ROW]
[ROW][C]0.12[/C][C]260600[/C][C]260684[/C][C]261076[/C][C]261076[/C][C]261365.2[/C][C]260376[/C][C]260768[/C][C]260376[/C][/ROW]
[ROW][C]0.14[/C][C]261856.84[/C][C]262059.28[/C][C]262522[/C][C]262522[/C][C]262542[/C][C]262522[/C][C]261538.72[/C][C]262522[/C][/ROW]
[ROW][C]0.16[/C][C]262560[/C][C]262568[/C][C]262572[/C][C]262572[/C][C]262994.4[/C][C]262572[/C][C]262526[/C][C]262572[/C][/ROW]
[ROW][C]0.18[/C][C]263261.92[/C][C]263278.24[/C][C]263276[/C][C]263276[/C][C]263287.2[/C][C]263276[/C][C]263287.76[/C][C]263276[/C][/ROW]
[ROW][C]0.2[/C][C]263412.6[/C][C]263535.2[/C][C]263903[/C][C]263903[/C][C]263903[/C][C]263290[/C][C]263657.8[/C][C]263290[/C][/ROW]
[ROW][C]0.22[/C][C]264036.56[/C][C]264106.52[/C][C]264221[/C][C]264221[/C][C]264235[/C][C]263903[/C][C]264017.48[/C][C]264221[/C][/ROW]
[ROW][C]0.24[/C][C]264265.8[/C][C]264282.6[/C][C]264291[/C][C]264291[/C][C]264567[/C][C]264291[/C][C]264229.4[/C][C]264291[/C][/ROW]
[ROW][C]0.26[/C][C]264884.4[/C][C]265154.16[/C][C]264981[/C][C]264981[/C][C]265846.8[/C][C]264981[/C][C]266250.84[/C][C]264981[/C][/ROW]
[ROW][C]0.28[/C][C]266482.32[/C][C]266686.44[/C][C]267153[/C][C]267153[/C][C]267007.2[/C][C]266424[/C][C]266890.56[/C][C]266424[/C][/ROW]
[ROW][C]0.3[/C][C]267521.4[/C][C]267889.8[/C][C]268381[/C][C]268381[/C][C]268381[/C][C]267153[/C][C]267644.2[/C][C]268381[/C][/ROW]
[ROW][C]0.32[/C][C]269730.4[/C][C]270560.8[/C][C]270976[/C][C]270976[/C][C]271003.8[/C][C]270976[/C][C]268796.2[/C][C]270976[/C][/ROW]
[ROW][C]0.34[/C][C]271078.86[/C][C]271231.08[/C][C]271115[/C][C]271115[/C][C]271695.4[/C][C]271115[/C][C]272449.92[/C][C]271115[/C][/ROW]
[ROW][C]0.36[/C][C]272507.96[/C][C]273633.52[/C][C]272566[/C][C]272566[/C][C]274567.6[/C][C]272566[/C][C]274834.48[/C][C]272566[/C][/ROW]
[ROW][C]0.38[/C][C]275996.5[/C][C]276196[/C][C]276427[/C][C]276427[/C][C]276322[/C][C]275902[/C][C]276133[/C][C]276427[/C][/ROW]
[ROW][C]0.4[/C][C]276446.2[/C][C]276465.4[/C][C]276475[/C][C]276475[/C][C]276475[/C][C]276427[/C][C]276436.6[/C][C]276475[/C][/ROW]
[ROW][C]0.42[/C][C]277116.08[/C][C]277595.88[/C][C]277509[/C][C]277509[/C][C]277943.4[/C][C]277509[/C][C]279594.12[/C][C]277509[/C][/ROW]
[ROW][C]0.44[/C][C]279333.48[/C][C]279894.92[/C][C]279681[/C][C]279681[/C][C]279986.6[/C][C]279681[/C][C]280231.08[/C][C]279681[/C][/ROW]
[ROW][C]0.46[/C][C]280698.98[/C][C]282646.16[/C][C]284678[/C][C]284678[/C][C]282984.8[/C][C]280445[/C][C]282476.84[/C][C]284678[/C][/ROW]
[ROW][C]0.48[/C][C]284840.12[/C][C]285118.04[/C][C]285257[/C][C]285257[/C][C]285141.2[/C][C]284678[/C][C]284816.96[/C][C]285257[/C][/ROW]
[ROW][C]0.5[/C][C]286125.5[/C][C]286994[/C][C]286994[/C][C]286994[/C][C]286994[/C][C]286994[/C][C]286994[/C][C]286994[/C][/ROW]
[ROW][C]0.52[/C][C]287159.6[/C][C]288229.36[/C][C]287224[/C][C]287224[/C][C]288061.8[/C][C]287224[/C][C]290407.64[/C][C]287224[/C][/ROW]
[ROW][C]0.54[/C][C]291161.66[/C][C]291474.92[/C][C]291413[/C][C]291413[/C][C]291464.6[/C][C]291413[/C][C]291480.08[/C][C]291413[/C][/ROW]
[ROW][C]0.56[/C][C]291912.88[/C][C]293210.96[/C][C]293860[/C][C]293860[/C][C]292932.8[/C][C]291542[/C][C]292191.04[/C][C]293860[/C][/ROW]
[ROW][C]0.58[/C][C]294641.28[/C][C]295833.76[/C][C]295916[/C][C]295916[/C][C]295504.8[/C][C]293860[/C][C]293942.24[/C][C]295916[/C][/ROW]
[ROW][C]0.6[/C][C]296450[/C][C]297129.4[/C][C]296806[/C][C]296806[/C][C]296806[/C][C]296806[/C][C]298099.6[/C][C]296806[/C][/ROW]
[ROW][C]0.62[/C][C]298131.94[/C][C]298672.04[/C][C]298423[/C][C]298423[/C][C]298536.2[/C][C]298423[/C][C]298739.96[/C][C]298423[/C][/ROW]
[ROW][C]0.64[/C][C]299042.08[/C][C]299891.36[/C][C]300316[/C][C]300316[/C][C]299519.8[/C][C]298989[/C][C]299413.64[/C][C]300316[/C][/ROW]
[ROW][C]0.66[/C][C]300419.22[/C][C]300681.24[/C][C]300713[/C][C]300713[/C][C]300554.2[/C][C]300316[/C][C]300347.76[/C][C]300713[/C][/ROW]
[ROW][C]0.68[/C][C]301153.64[/C][C]301842.04[/C][C]301631[/C][C]301631[/C][C]301447.4[/C][C]300713[/C][C]302738.96[/C][C]301631[/C][/ROW]
[ROW][C]0.7[/C][C]302554.3[/C][C]302955.2[/C][C]302950[/C][C]302950[/C][C]302950[/C][C]302950[/C][C]302957.8[/C][C]302950[/C][/ROW]
[ROW][C]0.72[/C][C]302961.96[/C][C]303369.4[/C][C]302963[/C][C]302963[/C][C]303090[/C][C]302963[/C][C]303191.6[/C][C]303598[/C][/ROW]
[ROW][C]0.74[/C][C]303659.18[/C][C]303982.56[/C][C]304035[/C][C]304035[/C][C]303772.8[/C][C]303598[/C][C]303650.44[/C][C]304035[/C][/ROW]
[ROW][C]0.76[/C][C]305865.24[/C][C]309151.64[/C][C]309119[/C][C]309119[/C][C]307085.4[/C][C]304035[/C][C]309358.36[/C][C]309119[/C][/ROW]
[ROW][C]0.78[/C][C]309276.76[/C][C]309489.28[/C][C]309391[/C][C]309391[/C][C]309336.6[/C][C]309391[/C][C]309565.72[/C][C]309391[/C][/ROW]
[ROW][C]0.8[/C][C]309609.4[/C][C]311231.2[/C][C]309664[/C][C]309664[/C][C]309664[/C][C]309664[/C][C]310708.8[/C][C]312276[/C][/ROW]
[ROW][C]0.82[/C][C]312294.84[/C][C]313067.28[/C][C]313218[/C][C]313218[/C][C]312464.4[/C][C]312276[/C][C]312426.72[/C][C]313218[/C][/ROW]
[ROW][C]0.84[/C][C]313342.56[/C][C]313752.2[/C][C]313737[/C][C]313737[/C][C]313425.6[/C][C]313218[/C][C]313911.8[/C][C]313737[/C][/ROW]
[ROW][C]0.86[/C][C]313824.4[/C][C]314105.56[/C][C]313927[/C][C]313927[/C][C]313851[/C][C]313737[/C][C]314306.44[/C][C]313927[/C][/ROW]
[ROW][C]0.88[/C][C]314306.44[/C][C]319774.76[/C][C]314485[/C][C]314485[/C][C]314373.4[/C][C]314485[/C][C]318641.24[/C][C]323931[/C][/ROW]
[ROW][C]0.9[/C][C]322986.4[/C][C]326879[/C][C]323931[/C][C]323931[/C][C]323931[/C][C]323931[/C][C]324668[/C][C]327616[/C][/ROW]
[ROW][C]0.92[/C][C]327873.88[/C][C]329913.44[/C][C]329765[/C][C]329765[/C][C]328045.8[/C][C]327616[/C][C]333327.56[/C][C]329765[/C][/ROW]
[ROW][C]0.94[/C][C]331026.74[/C][C]333925.96[/C][C]333476[/C][C]333476[/C][C]331249.4[/C][C]329765[/C][C]334633.04[/C][C]333476[/C][/ROW]
[ROW][C]0.96[/C][C]334375.92[/C][C]335524.48[/C][C]335083[/C][C]335083[/C][C]334440.2[/C][C]335083[/C][C]335490.52[/C][C]335932[/C][/ROW]
[ROW][C]0.98[/C][C]335745.22[/C][C]337274.16[/C][C]335932[/C][C]335932[/C][C]335762.2[/C][C]335932[/C][C]336355.84[/C][C]337698[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=112991&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=112991&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)
0.02245329.36245468.12250741250741251224.4243803249075.88243803
0.04251804.48251901.16253158253158254111.6250741251997.84250741
0.06254731.44254874.48255542255542255578.6255542253825.52255542
0.08255595.68255600.56255603255603256054.2255603255544.44255603
0.1256587.9257008.8260376260376260376256167259534.2256167
0.12260600260684261076261076261365.2260376260768260376
0.14261856.84262059.28262522262522262542262522261538.72262522
0.16262560262568262572262572262994.4262572262526262572
0.18263261.92263278.24263276263276263287.2263276263287.76263276
0.2263412.6263535.2263903263903263903263290263657.8263290
0.22264036.56264106.52264221264221264235263903264017.48264221
0.24264265.8264282.6264291264291264567264291264229.4264291
0.26264884.4265154.16264981264981265846.8264981266250.84264981
0.28266482.32266686.44267153267153267007.2266424266890.56266424
0.3267521.4267889.8268381268381268381267153267644.2268381
0.32269730.4270560.8270976270976271003.8270976268796.2270976
0.34271078.86271231.08271115271115271695.4271115272449.92271115
0.36272507.96273633.52272566272566274567.6272566274834.48272566
0.38275996.5276196276427276427276322275902276133276427
0.4276446.2276465.4276475276475276475276427276436.6276475
0.42277116.08277595.88277509277509277943.4277509279594.12277509
0.44279333.48279894.92279681279681279986.6279681280231.08279681
0.46280698.98282646.16284678284678282984.8280445282476.84284678
0.48284840.12285118.04285257285257285141.2284678284816.96285257
0.5286125.5286994286994286994286994286994286994286994
0.52287159.6288229.36287224287224288061.8287224290407.64287224
0.54291161.66291474.92291413291413291464.6291413291480.08291413
0.56291912.88293210.96293860293860292932.8291542292191.04293860
0.58294641.28295833.76295916295916295504.8293860293942.24295916
0.6296450297129.4296806296806296806296806298099.6296806
0.62298131.94298672.04298423298423298536.2298423298739.96298423
0.64299042.08299891.36300316300316299519.8298989299413.64300316
0.66300419.22300681.24300713300713300554.2300316300347.76300713
0.68301153.64301842.04301631301631301447.4300713302738.96301631
0.7302554.3302955.2302950302950302950302950302957.8302950
0.72302961.96303369.4302963302963303090302963303191.6303598
0.74303659.18303982.56304035304035303772.8303598303650.44304035
0.76305865.24309151.64309119309119307085.4304035309358.36309119
0.78309276.76309489.28309391309391309336.6309391309565.72309391
0.8309609.4311231.2309664309664309664309664310708.8312276
0.82312294.84313067.28313218313218312464.4312276312426.72313218
0.84313342.56313752.2313737313737313425.6313218313911.8313737
0.86313824.4314105.56313927313927313851313737314306.44313927
0.88314306.44319774.76314485314485314373.4314485318641.24323931
0.9322986.4326879323931323931323931323931324668327616
0.92327873.88329913.44329765329765328045.8327616333327.56329765
0.94331026.74333925.96333476333476331249.4329765334633.04333476
0.96334375.92335524.48335083335083334440.2335083335490.52335932
0.98335745.22337274.16335932335932335762.2335932336355.84337698



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')