Free Statistics

of Irreproducible Research!

Author's title

Author*Unverified author*
R Software Moduleperc.wasp
Title produced by softwarePercentiles and Normal Probability Plot
Date of computationSat, 20 Oct 2007 07:49:00 -0700
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2007/Oct/20/3ihutoj5bmj94xb1192891521.htm/, Retrieved Thu, 02 May 2024 15:00:41 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=1096, Retrieved Thu, 02 May 2024 15:00:41 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsQ6
Estimated Impact492
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
F       [Percentiles and Normal Probability Plot] [Q6 P(a
- RMPD    [Percentiles] [confidence interv...] [2008-10-17 12:08:08] [1df53680523b3d683eb04eb09d7bca8b]
F   P       [Percentiles] [confidence interv...] [2008-10-19 16:09:53] [74be16979710d4c4e7c6647856088456]
F             [Percentiles] [Vraag 6] [2008-10-21 05:39:09] [645b47e0eb1e1e0301fa1dba1a86991a]
-   P       [Percentiles] [] [2008-10-20 14:27:01] [4c8dfb519edec2da3492d7e6be9a5685]
- RMPD    [Back to Back Histogram] [BTB histogram Bel...] [2008-10-17 14:17:08] [252acdb58d8522ab27f61fa1e87b5efe]
- RMPD    [Back to Back Histogram] [BTB histogram Bel...] [2008-10-17 14:25:09] [252acdb58d8522ab27f61fa1e87b5efe]
- RMPD    [Back to Back Histogram] [BTB histogram Bel...] [2008-10-17 14:31:17] [252acdb58d8522ab27f61fa1e87b5efe]
F RM D    [Percentiles] [Percentielen van ...] [2008-10-17 16:36:35] [cf45c678b7899ee33d7b061948f80651]
- RM D    [Percentiles] [80% betrouwbaarhe...] [2008-10-18 15:16:42] [d32f94eec6fe2d8c421bd223368a5ced]
F           [Percentiles] [Q6] [2008-10-20 14:04:45] [e562c84ebfc887cc5a7a99782625ca3b]
F             [Percentiles] [Q6 Percentielen] [2008-10-20 18:12:01] [23bfa928dab4b48567707937094f7011]
F RM D    [Percentiles] [Investigating Ass...] [2008-10-19 09:36:18] [6743688719638b0cb1c0a6e0bf433315]
-           [Percentiles] [Q6 - percetiles] [2008-10-20 18:09:39] [b187fac1a1b0cb3920f54366df47fea3]
F           [Percentiles] [Investigating Ass...] [2008-10-27 08:04:01] [33f4701c7363e8b81858dafbf0350eed]
F RM D    [Percentiles] [Percentiles Total...] [2008-10-19 09:49:15] [4396f984ebeab43316cd6baa88a4fd40]
F RM D    [Percentiles] [Percentielen (Q6)...] [2008-10-19 12:56:57] [93834488277b53a4510bfd06084ae13b]
F           [Percentiles] [Task 1 Q6] [2008-10-19 14:33:49] [86761fc994bdf34e4f4ab5b8e1d9e1c3]
F RM D    [Percentiles] [Q6 Percentiles] [2008-10-20 09:57:11] [38f43994ada0e6172896e12525dcc585]
-           [Percentiles] [Compute a and b i...] [2008-10-21 06:44:08] [cd4f4e2e27ac3340ba571e82a95c1ca6]
F RM D    [Percentiles] [80 % confidence i...] [2008-10-20 13:30:09] [1d988b04e8982749ec309eda662241b4]
F RM D    [Percentiles] [Confidence interv...] [2008-10-20 13:39:24] [a7f04e0e73ce3683561193958d653479]
- RM D    [Percentiles] [Percentiles] [2008-10-20 14:02:47] [1ce0d16c8f4225c977b42c8fa93bc163]
F RM D    [Percentiles] [Totale productie ...] [2008-10-20 14:03:45] [1376d48f59a7212e8dd85a587491a69b]
F R P       [Percentiles] [Q6] [2008-10-20 15:21:00] [135a75983a35e9dc23fc7f7955d2ce4a]
F RMPD    [Harrell-Davis Quantiles] [Harrel Davis Quan...] [2008-10-20 14:10:05] [1ce0d16c8f4225c977b42c8fa93bc163]
- RM D    [Percentiles] [Task 2 vraag 2] [2008-10-20 16:42:56] [e5d91604aae608e98a8ea24759233f66]
- RM D    [Percentiles] [Reproduce Q6] [2008-10-20 17:15:32] [063e4b67ad7d3a8a83eccec794cd5aa7]
F RM D    [Percentiles] [Q6-Percentiles] [2008-10-20 18:14:35] [b187fac1a1b0cb3920f54366df47fea3]
F           [Percentiles] [task 1 Q6] [2008-10-20 19:19:48] [1e82cb4c98d4057b5653dbe7a07f2cda]
F RM D    [Percentiles] [percentiles] [2008-10-20 18:35:37] [7173087adebe3e3a714c80ea2417b3eb]
F RM D    [Percentiles] [• Q6: Compute a a...] [2008-10-20 18:37:02] [491a70d26f8c977398d8a0c1c87d3dd4]
F RM D    [Percentiles] [Q6 Percentiles] [2008-10-20 18:53:19] [2d4aec5ed1856c4828162be37be304d9]
F RM D    [Percentiles] [Totale productie-...] [2008-10-20 20:15:26] [dff692ae32125bdbbfc005d665e23b83]
F  M D    [Percentiles] [Q6 Percentiles To...] [2008-10-26 19:03:16] [d134696a922d84037f02d49ded84b0bd]
F RM D    [Tukey lambda PPCC Plot] [Q1 investigating ...] [2008-10-27 19:50:59] [3754dd41128068acfc463ebbabce5a9c]
Feedback Forum
2008-10-22 13:22:33 [Ellen Smolders] [reply
De student heeft deze opdracht goed uitgevoerd, de grafiek en de oplossing is correct.
2008-10-24 15:42:01 [Bob Leysen] [reply
De opdracht is correct uitgevoerd. Vanboven staat 'unverified author'.
2008-10-26 13:30:04 [Natascha Meeus] [reply
De opdracht is inderdaad goed uitgevoerd. De grafiek en het antwoord zijn correct.
2008-10-27 08:06:55 [Jeroen Michel] [reply
Hier is geen juiste output weergegeven (use of percentiles). Hier is wel degelijk de fout gemaakt door een verkeerde blog uit te voeren (unverified author). Ondertussen weet ik waar de fout is ingeslopen bij het posten. Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL http://www.freestatistics.org/blog/date/2008/Oct/27/t122509469072bx1sw4de0r4nl.htm , Retrieved Mon, 27 Oct 2008 08:04:55 +0000. De voorgaande link is correct. Dit geeft echter de juiste output weer waar tevens de grafiek is op waar te nemen. Voorts zie ik dus niet in waarom de voorgaande studenten melden dat de juiste grafiek is waar te nemen. Door de foute blog was deze echter niet waar te nemen.
2008-10-27 18:36:31 [Jeroen Aerts] [reply
Geweldig dat je de oplossing hebt gevonden Jeroen Michel, ik heb het even nagekeken en je hebt gelijk. Je berekening in de posts klopt.
2008-10-27 20:17:47 [Dries Van Gheluwe] [reply
Hier moet ik toch de uitleg van Jeroen volgen en die oplossing weergeven.
2008-10-28 06:54:06 [An De Koninck] [reply
Vraag 6 werd goed beantwoord, maar er kon bij vermeld worden dat de cijfergegevens van klein naar groot worden geordend en dat dus de chronologie wegvalt.

Post a new message
Dataseries X:
110.40
96.40
101.90
106.20
81.00
94.70
101.00
109.40
102.30
90.70
96.20
96.10
106.00
103.10
102.00
104.70
86.00
92.10
106.90
112.60
101.70
92.00
97.40
97.00
105.40
102.70
98.10
104.50
87.40
89.90
109.80
111.70
98.60
96.90
95.10
97.00
112.70
102.90
97.40
111.40
87.40
96.80
114.10
110.30
103.90
101.60
94.60
95.90
104.70
102.80
98.10
113.90
80.90
95.70
113.20
105.90
108.80
102.30
99.00
100.70
115.50




Percentiles - Ungrouped Data
%Weighted 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)
0.0280.922080.924081.000081.000082.000080.900080.976080.9000
0.0483.200083.400086.000086.000086.560081.000083.600081.0000
0.0686.924087.008087.400087.400087.400087.400086.392087.4000
0.0887.400087.400087.400087.400089.400087.400087.400087.4000
0.1089.980090.060090.700090.700090.700089.900090.540089.9000
0.1291.116091.272092.000092.000092.020090.700091.428090.7000
0.1492.054092.068092.100092.100093.100092.100092.032092.1000
0.1694.000094.400094.600094.600094.660094.600092.300094.6000
0.1894.698094.764094.700094.700095.020094.700095.036094.7000
0.2095.220095.340095.700095.700095.700095.100095.460095.1000
0.2295.784095.828095.900095.900095.940095.700095.772095.9000
0.2496.028096.076096.100096.100096.140096.100095.924096.1000
0.2696.186096.224096.200096.200096.320096.200096.376096.2000
0.2896.432096.544096.800096.800096.720096.400096.656096.4000
0.3096.830096.860096.900096.900096.900096.800096.840096.9000
0.3296.952096.984097.000097.000097.000097.000096.916097.0000
0.3497.000097.032097.000097.000097.160097.000097.368097.0000
0.3697.384097.400097.400097.400097.400097.400097.400097.4000
0.3897.526097.792098.100098.100097.960097.400097.708098.1000
0.4098.100098.100098.100098.100098.100098.100098.100098.1000
0.4298.410098.616098.600098.600098.680098.600098.984098.6000
0.4498.936099.476099.000099.000099.680099.0000100.224099.0000
0.46100.7180100.8560101.0000101.0000100.8800100.7000100.8440101.0000
0.48101.1680101.4560101.6000101.6000101.4800101.0000101.1440101.6000
0.50101.6500101.7000101.7000101.7000101.7000101.7000101.7000101.7000
0.52101.8440101.9240101.9000101.9000101.9200101.9000101.9760101.9000
0.54101.9940102.1440102.0000102.0000102.1200102.0000102.1560102.0000
0.56102.3000102.3000102.3000102.3000102.3000102.3000102.3000102.3000
0.58102.4520102.6840102.7000102.7000102.6200102.3000102.3160102.7000
0.60102.7600102.8200102.8000102.8000102.8000102.8000102.8800102.8000
0.62102.8820102.9880102.9000102.9000102.9400102.9000103.0120102.9000
0.64103.1320103.6440103.9000103.9000103.4200103.1000103.3560103.9000
0.66104.0560104.4520104.5000104.5000104.2600103.9000103.9480104.5000
0.68104.5960104.7000104.7000104.7000104.6600104.5000104.7000104.7000
0.70104.7000104.9800104.7000104.7000104.7000104.7000105.1200104.7000
0.72105.3440105.7200105.4000105.4000105.5000105.4000105.5800105.9000
0.74105.9140105.9880106.0000106.0000105.9400105.9000105.9120106.0000
0.76106.0720106.2840106.2000106.2000106.1200106.0000106.8160106.2000
0.78106.6060107.5840106.9000106.9000106.7600106.9000108.1160106.9000
0.80108.4200109.1600108.8000108.8000108.8000108.8000109.0400109.4000
0.82109.4080109.7360109.8000109.8000109.4800109.4000109.4640109.8000
0.84109.9200110.3080110.3000110.3000110.0000109.8000110.3920110.3000
0.86110.3460110.7200110.4000110.4000110.3600110.3000111.0800110.4000
0.88111.0800111.5680111.4000111.4000111.2000111.4000111.5320111.7000
0.90111.6700112.4200111.7000111.7000111.7000111.7000111.8800112.6000
0.92112.6120112.7200112.7000112.7000112.6200112.6000113.1800112.7000
0.94112.8700113.3960113.2000113.2000112.9000112.7000113.7040113.2000
0.96113.5920114.0040113.9000113.9000113.6200113.9000113.9960114.1000
0.98114.0560115.1640114.1000114.1000114.0600114.1000114.4360115.5000

\begin{tabular}{lllllllll}
\hline

Percentiles - Ungrouped Data \tabularnewline

%
Weighted 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) \tabularnewline 0.0280.922080.924081.000081.000082.000080.900080.976080.9000 \tabularnewline 0.0483.200083.400086.000086.000086.560081.000083.600081.0000 \tabularnewline 0.0686.924087.008087.400087.400087.400087.400086.392087.4000 \tabularnewline 0.0887.400087.400087.400087.400089.400087.400087.400087.4000 \tabularnewline 0.1089.980090.060090.700090.700090.700089.900090.540089.9000 \tabularnewline 0.1291.116091.272092.000092.000092.020090.700091.428090.7000 \tabularnewline 0.1492.054092.068092.100092.100093.100092.100092.032092.1000 \tabularnewline 0.1694.000094.400094.600094.600094.660094.600092.300094.6000 \tabularnewline 0.1894.698094.764094.700094.700095.020094.700095.036094.7000 \tabularnewline 0.2095.220095.340095.700095.700095.700095.100095.460095.1000 \tabularnewline 0.2295.784095.828095.900095.900095.940095.700095.772095.9000 \tabularnewline 0.2496.028096.076096.100096.100096.140096.100095.924096.1000 \tabularnewline 0.2696.186096.224096.200096.200096.320096.200096.376096.2000 \tabularnewline 0.2896.432096.544096.800096.800096.720096.400096.656096.4000 \tabularnewline 0.3096.830096.860096.900096.900096.900096.800096.840096.9000 \tabularnewline 0.3296.952096.984097.000097.000097.000097.000096.916097.0000 \tabularnewline 0.3497.000097.032097.000097.000097.160097.000097.368097.0000 \tabularnewline 0.3697.384097.400097.400097.400097.400097.400097.400097.4000 \tabularnewline 0.3897.526097.792098.100098.100097.960097.400097.708098.1000 \tabularnewline 0.4098.100098.100098.100098.100098.100098.100098.100098.1000 \tabularnewline 0.4298.410098.616098.600098.600098.680098.600098.984098.6000 \tabularnewline 0.4498.936099.476099.000099.000099.680099.0000100.224099.0000 \tabularnewline 0.46100.7180100.8560101.0000101.0000100.8800100.7000100.8440101.0000 \tabularnewline 0.48101.1680101.4560101.6000101.6000101.4800101.0000101.1440101.6000 \tabularnewline 0.50101.6500101.7000101.7000101.7000101.7000101.7000101.7000101.7000 \tabularnewline 0.52101.8440101.9240101.9000101.9000101.9200101.9000101.9760101.9000 \tabularnewline 0.54101.9940102.1440102.0000102.0000102.1200102.0000102.1560102.0000 \tabularnewline 0.56102.3000102.3000102.3000102.3000102.3000102.3000102.3000102.3000 \tabularnewline 0.58102.4520102.6840102.7000102.7000102.6200102.3000102.3160102.7000 \tabularnewline 0.60102.7600102.8200102.8000102.8000102.8000102.8000102.8800102.8000 \tabularnewline 0.62102.8820102.9880102.9000102.9000102.9400102.9000103.0120102.9000 \tabularnewline 0.64103.1320103.6440103.9000103.9000103.4200103.1000103.3560103.9000 \tabularnewline 0.66104.0560104.4520104.5000104.5000104.2600103.9000103.9480104.5000 \tabularnewline 0.68104.5960104.7000104.7000104.7000104.6600104.5000104.7000104.7000 \tabularnewline 0.70104.7000104.9800104.7000104.7000104.7000104.7000105.1200104.7000 \tabularnewline 0.72105.3440105.7200105.4000105.4000105.5000105.4000105.5800105.9000 \tabularnewline 0.74105.9140105.9880106.0000106.0000105.9400105.9000105.9120106.0000 \tabularnewline 0.76106.0720106.2840106.2000106.2000106.1200106.0000106.8160106.2000 \tabularnewline 0.78106.6060107.5840106.9000106.9000106.7600106.9000108.1160106.9000 \tabularnewline 0.80108.4200109.1600108.8000108.8000108.8000108.8000109.0400109.4000 \tabularnewline 0.82109.4080109.7360109.8000109.8000109.4800109.4000109.4640109.8000 \tabularnewline 0.84109.9200110.3080110.3000110.3000110.0000109.8000110.3920110.3000 \tabularnewline 0.86110.3460110.7200110.4000110.4000110.3600110.3000111.0800110.4000 \tabularnewline 0.88111.0800111.5680111.4000111.4000111.2000111.4000111.5320111.7000 \tabularnewline 0.90111.6700112.4200111.7000111.7000111.7000111.7000111.8800112.6000 \tabularnewline 0.92112.6120112.7200112.7000112.7000112.6200112.6000113.1800112.7000 \tabularnewline 0.94112.8700113.3960113.2000113.2000112.9000112.7000113.7040113.2000 \tabularnewline 0.96113.5920114.0040113.9000113.9000113.6200113.9000113.9960114.1000 \tabularnewline 0.98114.0560115.1640114.1000114.1000114.0600114.1000114.4360115.5000 \tabularnewline \hline \end{tabular} %Source: https://freestatistics.org/blog/index.php?pk=1096&T=0

[TABLE]

[ROW][C]Percentiles - Ungrouped Data[/C][/ROW]

[ROW][C]%[/C]
Weighted Average at Xnp[/C]Weighted Average at X(n+1)p[/C]Empirical Distribution Function[/C]Empirical Distribution Function - Averaging[/C]Empirical Distribution Function - Interpolation[/C]Closest Observation[/C]True Basic - Statistics Graphics Toolkit[/C]MS Excel (old versions)[/C][/ROW] [ROW]0.02[/C]80.9220[/C]80.9240[/C]81.0000[/C]81.0000[/C]82.0000[/C]80.9000[/C]80.9760[/C]80.9000[/C][/ROW] [ROW]0.04[/C]83.2000[/C]83.4000[/C]86.0000[/C]86.0000[/C]86.5600[/C]81.0000[/C]83.6000[/C]81.0000[/C][/ROW] [ROW]0.06[/C]86.9240[/C]87.0080[/C]87.4000[/C]87.4000[/C]87.4000[/C]87.4000[/C]86.3920[/C]87.4000[/C][/ROW] [ROW]0.08[/C]87.4000[/C]87.4000[/C]87.4000[/C]87.4000[/C]89.4000[/C]87.4000[/C]87.4000[/C]87.4000[/C][/ROW] [ROW]0.10[/C]89.9800[/C]90.0600[/C]90.7000[/C]90.7000[/C]90.7000[/C]89.9000[/C]90.5400[/C]89.9000[/C][/ROW] [ROW]0.12[/C]91.1160[/C]91.2720[/C]92.0000[/C]92.0000[/C]92.0200[/C]90.7000[/C]91.4280[/C]90.7000[/C][/ROW] [ROW]0.14[/C]92.0540[/C]92.0680[/C]92.1000[/C]92.1000[/C]93.1000[/C]92.1000[/C]92.0320[/C]92.1000[/C][/ROW] [ROW]0.16[/C]94.0000[/C]94.4000[/C]94.6000[/C]94.6000[/C]94.6600[/C]94.6000[/C]92.3000[/C]94.6000[/C][/ROW] [ROW]0.18[/C]94.6980[/C]94.7640[/C]94.7000[/C]94.7000[/C]95.0200[/C]94.7000[/C]95.0360[/C]94.7000[/C][/ROW] [ROW]0.20[/C]95.2200[/C]95.3400[/C]95.7000[/C]95.7000[/C]95.7000[/C]95.1000[/C]95.4600[/C]95.1000[/C][/ROW] [ROW]0.22[/C]95.7840[/C]95.8280[/C]95.9000[/C]95.9000[/C]95.9400[/C]95.7000[/C]95.7720[/C]95.9000[/C][/ROW] [ROW]0.24[/C]96.0280[/C]96.0760[/C]96.1000[/C]96.1000[/C]96.1400[/C]96.1000[/C]95.9240[/C]96.1000[/C][/ROW] [ROW]0.26[/C]96.1860[/C]96.2240[/C]96.2000[/C]96.2000[/C]96.3200[/C]96.2000[/C]96.3760[/C]96.2000[/C][/ROW] [ROW]0.28[/C]96.4320[/C]96.5440[/C]96.8000[/C]96.8000[/C]96.7200[/C]96.4000[/C]96.6560[/C]96.4000[/C][/ROW] [ROW]0.30[/C]96.8300[/C]96.8600[/C]96.9000[/C]96.9000[/C]96.9000[/C]96.8000[/C]96.8400[/C]96.9000[/C][/ROW] [ROW]0.32[/C]96.9520[/C]96.9840[/C]97.0000[/C]97.0000[/C]97.0000[/C]97.0000[/C]96.9160[/C]97.0000[/C][/ROW] [ROW]0.34[/C]97.0000[/C]97.0320[/C]97.0000[/C]97.0000[/C]97.1600[/C]97.0000[/C]97.3680[/C]97.0000[/C][/ROW] [ROW]0.36[/C]97.3840[/C]97.4000[/C]97.4000[/C]97.4000[/C]97.4000[/C]97.4000[/C]97.4000[/C]97.4000[/C][/ROW] [ROW]0.38[/C]97.5260[/C]97.7920[/C]98.1000[/C]98.1000[/C]97.9600[/C]97.4000[/C]97.7080[/C]98.1000[/C][/ROW] [ROW]0.40[/C]98.1000[/C]98.1000[/C]98.1000[/C]98.1000[/C]98.1000[/C]98.1000[/C]98.1000[/C]98.1000[/C][/ROW] [ROW]0.42[/C]98.4100[/C]98.6160[/C]98.6000[/C]98.6000[/C]98.6800[/C]98.6000[/C]98.9840[/C]98.6000[/C][/ROW] [ROW]0.44[/C]98.9360[/C]99.4760[/C]99.0000[/C]99.0000[/C]99.6800[/C]99.0000[/C]100.2240[/C]99.0000[/C][/ROW] [ROW]0.46[/C]100.7180[/C]100.8560[/C]101.0000[/C]101.0000[/C]100.8800[/C]100.7000[/C]100.8440[/C]101.0000[/C][/ROW] [ROW]0.48[/C]101.1680[/C]101.4560[/C]101.6000[/C]101.6000[/C]101.4800[/C]101.0000[/C]101.1440[/C]101.6000[/C][/ROW] [ROW]0.50[/C]101.6500[/C]101.7000[/C]101.7000[/C]101.7000[/C]101.7000[/C]101.7000[/C]101.7000[/C]101.7000[/C][/ROW] [ROW]0.52[/C]101.8440[/C]101.9240[/C]101.9000[/C]101.9000[/C]101.9200[/C]101.9000[/C]101.9760[/C]101.9000[/C][/ROW] [ROW]0.54[/C]101.9940[/C]102.1440[/C]102.0000[/C]102.0000[/C]102.1200[/C]102.0000[/C]102.1560[/C]102.0000[/C][/ROW] [ROW]0.56[/C]102.3000[/C]102.3000[/C]102.3000[/C]102.3000[/C]102.3000[/C]102.3000[/C]102.3000[/C]102.3000[/C][/ROW] [ROW]0.58[/C]102.4520[/C]102.6840[/C]102.7000[/C]102.7000[/C]102.6200[/C]102.3000[/C]102.3160[/C]102.7000[/C][/ROW] [ROW]0.60[/C]102.7600[/C]102.8200[/C]102.8000[/C]102.8000[/C]102.8000[/C]102.8000[/C]102.8800[/C]102.8000[/C][/ROW] [ROW]0.62[/C]102.8820[/C]102.9880[/C]102.9000[/C]102.9000[/C]102.9400[/C]102.9000[/C]103.0120[/C]102.9000[/C][/ROW] [ROW]0.64[/C]103.1320[/C]103.6440[/C]103.9000[/C]103.9000[/C]103.4200[/C]103.1000[/C]103.3560[/C]103.9000[/C][/ROW] [ROW]0.66[/C]104.0560[/C]104.4520[/C]104.5000[/C]104.5000[/C]104.2600[/C]103.9000[/C]103.9480[/C]104.5000[/C][/ROW] [ROW]0.68[/C]104.5960[/C]104.7000[/C]104.7000[/C]104.7000[/C]104.6600[/C]104.5000[/C]104.7000[/C]104.7000[/C][/ROW] [ROW]0.70[/C]104.7000[/C]104.9800[/C]104.7000[/C]104.7000[/C]104.7000[/C]104.7000[/C]105.1200[/C]104.7000[/C][/ROW] [ROW]0.72[/C]105.3440[/C]105.7200[/C]105.4000[/C]105.4000[/C]105.5000[/C]105.4000[/C]105.5800[/C]105.9000[/C][/ROW] [ROW]0.74[/C]105.9140[/C]105.9880[/C]106.0000[/C]106.0000[/C]105.9400[/C]105.9000[/C]105.9120[/C]106.0000[/C][/ROW] [ROW]0.76[/C]106.0720[/C]106.2840[/C]106.2000[/C]106.2000[/C]106.1200[/C]106.0000[/C]106.8160[/C]106.2000[/C][/ROW] [ROW]0.78[/C]106.6060[/C]107.5840[/C]106.9000[/C]106.9000[/C]106.7600[/C]106.9000[/C]108.1160[/C]106.9000[/C][/ROW] [ROW]0.80[/C]108.4200[/C]109.1600[/C]108.8000[/C]108.8000[/C]108.8000[/C]108.8000[/C]109.0400[/C]109.4000[/C][/ROW] [ROW]0.82[/C]109.4080[/C]109.7360[/C]109.8000[/C]109.8000[/C]109.4800[/C]109.4000[/C]109.4640[/C]109.8000[/C][/ROW] [ROW]0.84[/C]109.9200[/C]110.3080[/C]110.3000[/C]110.3000[/C]110.0000[/C]109.8000[/C]110.3920[/C]110.3000[/C][/ROW] [ROW]0.86[/C]110.3460[/C]110.7200[/C]110.4000[/C]110.4000[/C]110.3600[/C]110.3000[/C]111.0800[/C]110.4000[/C][/ROW] [ROW]0.88[/C]111.0800[/C]111.5680[/C]111.4000[/C]111.4000[/C]111.2000[/C]111.4000[/C]111.5320[/C]111.7000[/C][/ROW] [ROW]0.90[/C]111.6700[/C]112.4200[/C]111.7000[/C]111.7000[/C]111.7000[/C]111.7000[/C]111.8800[/C]112.6000[/C][/ROW] [ROW]0.92[/C]112.6120[/C]112.7200[/C]112.7000[/C]112.7000[/C]112.6200[/C]112.6000[/C]113.1800[/C]112.7000[/C][/ROW] [ROW]0.94[/C]112.8700[/C]113.3960[/C]113.2000[/C]113.2000[/C]112.9000[/C]112.7000[/C]113.7040[/C]113.2000[/C][/ROW] [ROW]0.96[/C]113.5920[/C]114.0040[/C]113.9000[/C]113.9000[/C]113.6200[/C]113.9000[/C]113.9960[/C]114.1000[/C][/ROW] [ROW]0.98[/C]114.0560[/C]115.1640[/C]114.1000[/C]114.1000[/C]114.0600[/C]114.1000[/C]114.4360[/C]115.5000[/C][/ROW] [/TABLE] Source: https://freestatistics.org/blog/index.php?pk=1096&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=1096&T=0

As an alternative you can also use a QR Code:  

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

Percentiles - Ungrouped Data
%Weighted 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)
0.0280.922080.924081.000081.000082.000080.900080.976080.9000
0.0483.200083.400086.000086.000086.560081.000083.600081.0000
0.0686.924087.008087.400087.400087.400087.400086.392087.4000
0.0887.400087.400087.400087.400089.400087.400087.400087.4000
0.1089.980090.060090.700090.700090.700089.900090.540089.9000
0.1291.116091.272092.000092.000092.020090.700091.428090.7000
0.1492.054092.068092.100092.100093.100092.100092.032092.1000
0.1694.000094.400094.600094.600094.660094.600092.300094.6000
0.1894.698094.764094.700094.700095.020094.700095.036094.7000
0.2095.220095.340095.700095.700095.700095.100095.460095.1000
0.2295.784095.828095.900095.900095.940095.700095.772095.9000
0.2496.028096.076096.100096.100096.140096.100095.924096.1000
0.2696.186096.224096.200096.200096.320096.200096.376096.2000
0.2896.432096.544096.800096.800096.720096.400096.656096.4000
0.3096.830096.860096.900096.900096.900096.800096.840096.9000
0.3296.952096.984097.000097.000097.000097.000096.916097.0000
0.3497.000097.032097.000097.000097.160097.000097.368097.0000
0.3697.384097.400097.400097.400097.400097.400097.400097.4000
0.3897.526097.792098.100098.100097.960097.400097.708098.1000
0.4098.100098.100098.100098.100098.100098.100098.100098.1000
0.4298.410098.616098.600098.600098.680098.600098.984098.6000
0.4498.936099.476099.000099.000099.680099.0000100.224099.0000
0.46100.7180100.8560101.0000101.0000100.8800100.7000100.8440101.0000
0.48101.1680101.4560101.6000101.6000101.4800101.0000101.1440101.6000
0.50101.6500101.7000101.7000101.7000101.7000101.7000101.7000101.7000
0.52101.8440101.9240101.9000101.9000101.9200101.9000101.9760101.9000
0.54101.9940102.1440102.0000102.0000102.1200102.0000102.1560102.0000
0.56102.3000102.3000102.3000102.3000102.3000102.3000102.3000102.3000
0.58102.4520102.6840102.7000102.7000102.6200102.3000102.3160102.7000
0.60102.7600102.8200102.8000102.8000102.8000102.8000102.8800102.8000
0.62102.8820102.9880102.9000102.9000102.9400102.9000103.0120102.9000
0.64103.1320103.6440103.9000103.9000103.4200103.1000103.3560103.9000
0.66104.0560104.4520104.5000104.5000104.2600103.9000103.9480104.5000
0.68104.5960104.7000104.7000104.7000104.6600104.5000104.7000104.7000
0.70104.7000104.9800104.7000104.7000104.7000104.7000105.1200104.7000
0.72105.3440105.7200105.4000105.4000105.5000105.4000105.5800105.9000
0.74105.9140105.9880106.0000106.0000105.9400105.9000105.9120106.0000
0.76106.0720106.2840106.2000106.2000106.1200106.0000106.8160106.2000
0.78106.6060107.5840106.9000106.9000106.7600106.9000108.1160106.9000
0.80108.4200109.1600108.8000108.8000108.8000108.8000109.0400109.4000
0.82109.4080109.7360109.8000109.8000109.4800109.4000109.4640109.8000
0.84109.9200110.3080110.3000110.3000110.0000109.8000110.3920110.3000
0.86110.3460110.7200110.4000110.4000110.3600110.3000111.0800110.4000
0.88111.0800111.5680111.4000111.4000111.2000111.4000111.5320111.7000
0.90111.6700112.4200111.7000111.7000111.7000111.7000111.8800112.6000
0.92112.6120112.7200112.7000112.7000112.6200112.6000113.1800112.7000
0.94112.8700113.3960113.2000113.2000112.9000112.7000113.7040113.2000
0.96113.5920114.0040113.9000113.9000113.6200113.9000113.9960114.1000
0.98114.0560115.1640114.1000114.1000114.0600114.1000114.4360115.5000



Parameters (Session):
Parameters (R input):
R code (references can be found in the software module):