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 computationTue, 16 Oct 2012 06:47:31 -0400
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2012/Oct/16/t1350384485g37kr5v9qjw8let.htm/, Retrieved Tue, 30 Apr 2024 16:12:14 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=178546, Retrieved Tue, 30 Apr 2024 16:12:14 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact51
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Percentiles] [Intrinsic Motivat...] [2010-10-12 12:10:58] [b98453cac15ba1066b407e146608df68]
- R     [Percentiles] [Workshop 3 - Taak...] [2012-10-16 10:37:56] [4a105833c8ddfdeeca92280f04e021e6]
-    D    [Percentiles] [Workshop 3 - Taak...] [2012-10-16 10:42:38] [4a105833c8ddfdeeca92280f04e021e6]
-    D      [Percentiles] [Workshop 3 - Taak...] [2012-10-16 10:44:00] [4a105833c8ddfdeeca92280f04e021e6]
-    D        [Percentiles] [Workshop 3 - Taak...] [2012-10-16 10:45:13] [4a105833c8ddfdeeca92280f04e021e6]
- R  D            [Percentiles] [Workshop 3 - Taak...] [2012-10-16 10:47:31] [8f5998680e1bcb718ece477961fd7528] [Current]
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Dataseries X:
17
17
18
21
20
28
19
22
16
18
25
17
14
11
27
20
22
22
21
23
17
24
14
17
23
24
24
8
22
23
25
21
24
15
22
21
25
16
28
23
21
21
26
22
21
18
12
25
17
24
15
13
26
16
24
21
20
14
25
25
20
22
20
26
18
22
24
17
24
20
19
20
15
23
26
22
20
24
26
21
25
13
20
22
23
28
22
20
6
21
20
18
23
20
24
22
21
18
21
23
23
15
21
24
23
21
21
20
11
22
27
25
18
20
24
10
27
21
21
18
15
24
22
14
28
18
26
17
19
22
18
24
15
18
26
11
26
21
23
23
15
22
26
16
20
18
22
16
19
20
19
23
24
25
21
21
23
27
23
18
16
16




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=178546&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=178546&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=178546&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)
0.017.247.26889.2286.748
0.0210.2410.261111111010.7410
0.031111111111111111
0.0411.4811.52121212.441111.4812
0.051313131313.05131313
0.0613.7213.781414141413.2214
0.071414141414141414
0.081414.04141414.881414.9614
0.091515151515151515
0.11515151515151515
0.111515151515151515
0.121515151515.32151515
0.131616161616161616
0.141616161616161616
0.151616161616161616
0.161616161616161616
0.1716.5416.711717171716.2917
0.181717171717171717
0.191717171717171717
0.21717171717171717
0.211717171717171717
0.2217.6417.861818181817.1418
0.231818181818181818
0.241818181818181818
0.251818181818181818
0.261818181818181818
0.271818181818181818
0.281818181818181818
0.291818181818181818
0.318.618.91919191918.119
0.311919191919191919
0.321919191919191919
0.3319.4619.792020201919.2120
0.342020202020202020
0.352020202020202020
0.362020202020202020
0.372020202020202020
0.382020202020202020
0.392020202020202020
0.42020202020202020
0.412020202020202020
0.422020202020202020
0.4320.6621212121212121
0.442121212121212121
0.452121212121212121
0.462121212121212121
0.472121212121212121
0.482121212121212121
0.492121212121212121
0.52121212121212121
0.512121212121212121
0.522121212121212121
0.532121212121212121
0.542121212121212121
0.5521.121.65222221.552121.3522
0.562222222222222222
0.572222222222222222
0.582222222222222222
0.592222222222222222
0.62222222222222222
0.612222222222222222
0.622222222222222222
0.632222222222222222
0.642222222222222222
0.652222222222222222
0.6622.9223232323232323
0.672323232323232323
0.682323232323232323
0.692323232323232323
0.72323232323232323
0.712323232323232323
0.722323232323232323
0.732323232323232323
0.742323232323232323
0.7523.524242423.75242424
0.762424242424242424
0.772424242424242424
0.782424242424242424
0.792424242424242424
0.82424242424242424
0.812424242424242424
0.822424242424242424
0.832424242424242424
0.8424.0824.92252524.242424.0825
0.852525252525252525
0.862525252525252525
0.872525252525252525
0.882525252525252525
0.892525.072525252525.9325
0.925.826262625.9262626
0.912626262626262626
0.922626262626262626
0.932626262626262626
0.942626262626262626
0.952626.852626262626.1527
0.962727272727272727
0.972727.112727272727.8927
0.9827.7628282827.78282828
0.992828282828282828

\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 & 7.24 & 7.26 & 8 & 8 & 9.22 & 8 & 6.74 & 8 \tabularnewline
0.02 & 10.24 & 10.26 & 11 & 11 & 11 & 10 & 10.74 & 10 \tabularnewline
0.03 & 11 & 11 & 11 & 11 & 11 & 11 & 11 & 11 \tabularnewline
0.04 & 11.48 & 11.52 & 12 & 12 & 12.44 & 11 & 11.48 & 12 \tabularnewline
0.05 & 13 & 13 & 13 & 13 & 13.05 & 13 & 13 & 13 \tabularnewline
0.06 & 13.72 & 13.78 & 14 & 14 & 14 & 14 & 13.22 & 14 \tabularnewline
0.07 & 14 & 14 & 14 & 14 & 14 & 14 & 14 & 14 \tabularnewline
0.08 & 14 & 14.04 & 14 & 14 & 14.88 & 14 & 14.96 & 14 \tabularnewline
0.09 & 15 & 15 & 15 & 15 & 15 & 15 & 15 & 15 \tabularnewline
0.1 & 15 & 15 & 15 & 15 & 15 & 15 & 15 & 15 \tabularnewline
0.11 & 15 & 15 & 15 & 15 & 15 & 15 & 15 & 15 \tabularnewline
0.12 & 15 & 15 & 15 & 15 & 15.32 & 15 & 15 & 15 \tabularnewline
0.13 & 16 & 16 & 16 & 16 & 16 & 16 & 16 & 16 \tabularnewline
0.14 & 16 & 16 & 16 & 16 & 16 & 16 & 16 & 16 \tabularnewline
0.15 & 16 & 16 & 16 & 16 & 16 & 16 & 16 & 16 \tabularnewline
0.16 & 16 & 16 & 16 & 16 & 16 & 16 & 16 & 16 \tabularnewline
0.17 & 16.54 & 16.71 & 17 & 17 & 17 & 17 & 16.29 & 17 \tabularnewline
0.18 & 17 & 17 & 17 & 17 & 17 & 17 & 17 & 17 \tabularnewline
0.19 & 17 & 17 & 17 & 17 & 17 & 17 & 17 & 17 \tabularnewline
0.2 & 17 & 17 & 17 & 17 & 17 & 17 & 17 & 17 \tabularnewline
0.21 & 17 & 17 & 17 & 17 & 17 & 17 & 17 & 17 \tabularnewline
0.22 & 17.64 & 17.86 & 18 & 18 & 18 & 18 & 17.14 & 18 \tabularnewline
0.23 & 18 & 18 & 18 & 18 & 18 & 18 & 18 & 18 \tabularnewline
0.24 & 18 & 18 & 18 & 18 & 18 & 18 & 18 & 18 \tabularnewline
0.25 & 18 & 18 & 18 & 18 & 18 & 18 & 18 & 18 \tabularnewline
0.26 & 18 & 18 & 18 & 18 & 18 & 18 & 18 & 18 \tabularnewline
0.27 & 18 & 18 & 18 & 18 & 18 & 18 & 18 & 18 \tabularnewline
0.28 & 18 & 18 & 18 & 18 & 18 & 18 & 18 & 18 \tabularnewline
0.29 & 18 & 18 & 18 & 18 & 18 & 18 & 18 & 18 \tabularnewline
0.3 & 18.6 & 18.9 & 19 & 19 & 19 & 19 & 18.1 & 19 \tabularnewline
0.31 & 19 & 19 & 19 & 19 & 19 & 19 & 19 & 19 \tabularnewline
0.32 & 19 & 19 & 19 & 19 & 19 & 19 & 19 & 19 \tabularnewline
0.33 & 19.46 & 19.79 & 20 & 20 & 20 & 19 & 19.21 & 20 \tabularnewline
0.34 & 20 & 20 & 20 & 20 & 20 & 20 & 20 & 20 \tabularnewline
0.35 & 20 & 20 & 20 & 20 & 20 & 20 & 20 & 20 \tabularnewline
0.36 & 20 & 20 & 20 & 20 & 20 & 20 & 20 & 20 \tabularnewline
0.37 & 20 & 20 & 20 & 20 & 20 & 20 & 20 & 20 \tabularnewline
0.38 & 20 & 20 & 20 & 20 & 20 & 20 & 20 & 20 \tabularnewline
0.39 & 20 & 20 & 20 & 20 & 20 & 20 & 20 & 20 \tabularnewline
0.4 & 20 & 20 & 20 & 20 & 20 & 20 & 20 & 20 \tabularnewline
0.41 & 20 & 20 & 20 & 20 & 20 & 20 & 20 & 20 \tabularnewline
0.42 & 20 & 20 & 20 & 20 & 20 & 20 & 20 & 20 \tabularnewline
0.43 & 20.66 & 21 & 21 & 21 & 21 & 21 & 21 & 21 \tabularnewline
0.44 & 21 & 21 & 21 & 21 & 21 & 21 & 21 & 21 \tabularnewline
0.45 & 21 & 21 & 21 & 21 & 21 & 21 & 21 & 21 \tabularnewline
0.46 & 21 & 21 & 21 & 21 & 21 & 21 & 21 & 21 \tabularnewline
0.47 & 21 & 21 & 21 & 21 & 21 & 21 & 21 & 21 \tabularnewline
0.48 & 21 & 21 & 21 & 21 & 21 & 21 & 21 & 21 \tabularnewline
0.49 & 21 & 21 & 21 & 21 & 21 & 21 & 21 & 21 \tabularnewline
0.5 & 21 & 21 & 21 & 21 & 21 & 21 & 21 & 21 \tabularnewline
0.51 & 21 & 21 & 21 & 21 & 21 & 21 & 21 & 21 \tabularnewline
0.52 & 21 & 21 & 21 & 21 & 21 & 21 & 21 & 21 \tabularnewline
0.53 & 21 & 21 & 21 & 21 & 21 & 21 & 21 & 21 \tabularnewline
0.54 & 21 & 21 & 21 & 21 & 21 & 21 & 21 & 21 \tabularnewline
0.55 & 21.1 & 21.65 & 22 & 22 & 21.55 & 21 & 21.35 & 22 \tabularnewline
0.56 & 22 & 22 & 22 & 22 & 22 & 22 & 22 & 22 \tabularnewline
0.57 & 22 & 22 & 22 & 22 & 22 & 22 & 22 & 22 \tabularnewline
0.58 & 22 & 22 & 22 & 22 & 22 & 22 & 22 & 22 \tabularnewline
0.59 & 22 & 22 & 22 & 22 & 22 & 22 & 22 & 22 \tabularnewline
0.6 & 22 & 22 & 22 & 22 & 22 & 22 & 22 & 22 \tabularnewline
0.61 & 22 & 22 & 22 & 22 & 22 & 22 & 22 & 22 \tabularnewline
0.62 & 22 & 22 & 22 & 22 & 22 & 22 & 22 & 22 \tabularnewline
0.63 & 22 & 22 & 22 & 22 & 22 & 22 & 22 & 22 \tabularnewline
0.64 & 22 & 22 & 22 & 22 & 22 & 22 & 22 & 22 \tabularnewline
0.65 & 22 & 22 & 22 & 22 & 22 & 22 & 22 & 22 \tabularnewline
0.66 & 22.92 & 23 & 23 & 23 & 23 & 23 & 23 & 23 \tabularnewline
0.67 & 23 & 23 & 23 & 23 & 23 & 23 & 23 & 23 \tabularnewline
0.68 & 23 & 23 & 23 & 23 & 23 & 23 & 23 & 23 \tabularnewline
0.69 & 23 & 23 & 23 & 23 & 23 & 23 & 23 & 23 \tabularnewline
0.7 & 23 & 23 & 23 & 23 & 23 & 23 & 23 & 23 \tabularnewline
0.71 & 23 & 23 & 23 & 23 & 23 & 23 & 23 & 23 \tabularnewline
0.72 & 23 & 23 & 23 & 23 & 23 & 23 & 23 & 23 \tabularnewline
0.73 & 23 & 23 & 23 & 23 & 23 & 23 & 23 & 23 \tabularnewline
0.74 & 23 & 23 & 23 & 23 & 23 & 23 & 23 & 23 \tabularnewline
0.75 & 23.5 & 24 & 24 & 24 & 23.75 & 24 & 24 & 24 \tabularnewline
0.76 & 24 & 24 & 24 & 24 & 24 & 24 & 24 & 24 \tabularnewline
0.77 & 24 & 24 & 24 & 24 & 24 & 24 & 24 & 24 \tabularnewline
0.78 & 24 & 24 & 24 & 24 & 24 & 24 & 24 & 24 \tabularnewline
0.79 & 24 & 24 & 24 & 24 & 24 & 24 & 24 & 24 \tabularnewline
0.8 & 24 & 24 & 24 & 24 & 24 & 24 & 24 & 24 \tabularnewline
0.81 & 24 & 24 & 24 & 24 & 24 & 24 & 24 & 24 \tabularnewline
0.82 & 24 & 24 & 24 & 24 & 24 & 24 & 24 & 24 \tabularnewline
0.83 & 24 & 24 & 24 & 24 & 24 & 24 & 24 & 24 \tabularnewline
0.84 & 24.08 & 24.92 & 25 & 25 & 24.24 & 24 & 24.08 & 25 \tabularnewline
0.85 & 25 & 25 & 25 & 25 & 25 & 25 & 25 & 25 \tabularnewline
0.86 & 25 & 25 & 25 & 25 & 25 & 25 & 25 & 25 \tabularnewline
0.87 & 25 & 25 & 25 & 25 & 25 & 25 & 25 & 25 \tabularnewline
0.88 & 25 & 25 & 25 & 25 & 25 & 25 & 25 & 25 \tabularnewline
0.89 & 25 & 25.07 & 25 & 25 & 25 & 25 & 25.93 & 25 \tabularnewline
0.9 & 25.8 & 26 & 26 & 26 & 25.9 & 26 & 26 & 26 \tabularnewline
0.91 & 26 & 26 & 26 & 26 & 26 & 26 & 26 & 26 \tabularnewline
0.92 & 26 & 26 & 26 & 26 & 26 & 26 & 26 & 26 \tabularnewline
0.93 & 26 & 26 & 26 & 26 & 26 & 26 & 26 & 26 \tabularnewline
0.94 & 26 & 26 & 26 & 26 & 26 & 26 & 26 & 26 \tabularnewline
0.95 & 26 & 26.85 & 26 & 26 & 26 & 26 & 26.15 & 27 \tabularnewline
0.96 & 27 & 27 & 27 & 27 & 27 & 27 & 27 & 27 \tabularnewline
0.97 & 27 & 27.11 & 27 & 27 & 27 & 27 & 27.89 & 27 \tabularnewline
0.98 & 27.76 & 28 & 28 & 28 & 27.78 & 28 & 28 & 28 \tabularnewline
0.99 & 28 & 28 & 28 & 28 & 28 & 28 & 28 & 28 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=178546&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]7.24[/C][C]7.26[/C][C]8[/C][C]8[/C][C]9.22[/C][C]8[/C][C]6.74[/C][C]8[/C][/ROW]
[ROW][C]0.02[/C][C]10.24[/C][C]10.26[/C][C]11[/C][C]11[/C][C]11[/C][C]10[/C][C]10.74[/C][C]10[/C][/ROW]
[ROW][C]0.03[/C][C]11[/C][C]11[/C][C]11[/C][C]11[/C][C]11[/C][C]11[/C][C]11[/C][C]11[/C][/ROW]
[ROW][C]0.04[/C][C]11.48[/C][C]11.52[/C][C]12[/C][C]12[/C][C]12.44[/C][C]11[/C][C]11.48[/C][C]12[/C][/ROW]
[ROW][C]0.05[/C][C]13[/C][C]13[/C][C]13[/C][C]13[/C][C]13.05[/C][C]13[/C][C]13[/C][C]13[/C][/ROW]
[ROW][C]0.06[/C][C]13.72[/C][C]13.78[/C][C]14[/C][C]14[/C][C]14[/C][C]14[/C][C]13.22[/C][C]14[/C][/ROW]
[ROW][C]0.07[/C][C]14[/C][C]14[/C][C]14[/C][C]14[/C][C]14[/C][C]14[/C][C]14[/C][C]14[/C][/ROW]
[ROW][C]0.08[/C][C]14[/C][C]14.04[/C][C]14[/C][C]14[/C][C]14.88[/C][C]14[/C][C]14.96[/C][C]14[/C][/ROW]
[ROW][C]0.09[/C][C]15[/C][C]15[/C][C]15[/C][C]15[/C][C]15[/C][C]15[/C][C]15[/C][C]15[/C][/ROW]
[ROW][C]0.1[/C][C]15[/C][C]15[/C][C]15[/C][C]15[/C][C]15[/C][C]15[/C][C]15[/C][C]15[/C][/ROW]
[ROW][C]0.11[/C][C]15[/C][C]15[/C][C]15[/C][C]15[/C][C]15[/C][C]15[/C][C]15[/C][C]15[/C][/ROW]
[ROW][C]0.12[/C][C]15[/C][C]15[/C][C]15[/C][C]15[/C][C]15.32[/C][C]15[/C][C]15[/C][C]15[/C][/ROW]
[ROW][C]0.13[/C][C]16[/C][C]16[/C][C]16[/C][C]16[/C][C]16[/C][C]16[/C][C]16[/C][C]16[/C][/ROW]
[ROW][C]0.14[/C][C]16[/C][C]16[/C][C]16[/C][C]16[/C][C]16[/C][C]16[/C][C]16[/C][C]16[/C][/ROW]
[ROW][C]0.15[/C][C]16[/C][C]16[/C][C]16[/C][C]16[/C][C]16[/C][C]16[/C][C]16[/C][C]16[/C][/ROW]
[ROW][C]0.16[/C][C]16[/C][C]16[/C][C]16[/C][C]16[/C][C]16[/C][C]16[/C][C]16[/C][C]16[/C][/ROW]
[ROW][C]0.17[/C][C]16.54[/C][C]16.71[/C][C]17[/C][C]17[/C][C]17[/C][C]17[/C][C]16.29[/C][C]17[/C][/ROW]
[ROW][C]0.18[/C][C]17[/C][C]17[/C][C]17[/C][C]17[/C][C]17[/C][C]17[/C][C]17[/C][C]17[/C][/ROW]
[ROW][C]0.19[/C][C]17[/C][C]17[/C][C]17[/C][C]17[/C][C]17[/C][C]17[/C][C]17[/C][C]17[/C][/ROW]
[ROW][C]0.2[/C][C]17[/C][C]17[/C][C]17[/C][C]17[/C][C]17[/C][C]17[/C][C]17[/C][C]17[/C][/ROW]
[ROW][C]0.21[/C][C]17[/C][C]17[/C][C]17[/C][C]17[/C][C]17[/C][C]17[/C][C]17[/C][C]17[/C][/ROW]
[ROW][C]0.22[/C][C]17.64[/C][C]17.86[/C][C]18[/C][C]18[/C][C]18[/C][C]18[/C][C]17.14[/C][C]18[/C][/ROW]
[ROW][C]0.23[/C][C]18[/C][C]18[/C][C]18[/C][C]18[/C][C]18[/C][C]18[/C][C]18[/C][C]18[/C][/ROW]
[ROW][C]0.24[/C][C]18[/C][C]18[/C][C]18[/C][C]18[/C][C]18[/C][C]18[/C][C]18[/C][C]18[/C][/ROW]
[ROW][C]0.25[/C][C]18[/C][C]18[/C][C]18[/C][C]18[/C][C]18[/C][C]18[/C][C]18[/C][C]18[/C][/ROW]
[ROW][C]0.26[/C][C]18[/C][C]18[/C][C]18[/C][C]18[/C][C]18[/C][C]18[/C][C]18[/C][C]18[/C][/ROW]
[ROW][C]0.27[/C][C]18[/C][C]18[/C][C]18[/C][C]18[/C][C]18[/C][C]18[/C][C]18[/C][C]18[/C][/ROW]
[ROW][C]0.28[/C][C]18[/C][C]18[/C][C]18[/C][C]18[/C][C]18[/C][C]18[/C][C]18[/C][C]18[/C][/ROW]
[ROW][C]0.29[/C][C]18[/C][C]18[/C][C]18[/C][C]18[/C][C]18[/C][C]18[/C][C]18[/C][C]18[/C][/ROW]
[ROW][C]0.3[/C][C]18.6[/C][C]18.9[/C][C]19[/C][C]19[/C][C]19[/C][C]19[/C][C]18.1[/C][C]19[/C][/ROW]
[ROW][C]0.31[/C][C]19[/C][C]19[/C][C]19[/C][C]19[/C][C]19[/C][C]19[/C][C]19[/C][C]19[/C][/ROW]
[ROW][C]0.32[/C][C]19[/C][C]19[/C][C]19[/C][C]19[/C][C]19[/C][C]19[/C][C]19[/C][C]19[/C][/ROW]
[ROW][C]0.33[/C][C]19.46[/C][C]19.79[/C][C]20[/C][C]20[/C][C]20[/C][C]19[/C][C]19.21[/C][C]20[/C][/ROW]
[ROW][C]0.34[/C][C]20[/C][C]20[/C][C]20[/C][C]20[/C][C]20[/C][C]20[/C][C]20[/C][C]20[/C][/ROW]
[ROW][C]0.35[/C][C]20[/C][C]20[/C][C]20[/C][C]20[/C][C]20[/C][C]20[/C][C]20[/C][C]20[/C][/ROW]
[ROW][C]0.36[/C][C]20[/C][C]20[/C][C]20[/C][C]20[/C][C]20[/C][C]20[/C][C]20[/C][C]20[/C][/ROW]
[ROW][C]0.37[/C][C]20[/C][C]20[/C][C]20[/C][C]20[/C][C]20[/C][C]20[/C][C]20[/C][C]20[/C][/ROW]
[ROW][C]0.38[/C][C]20[/C][C]20[/C][C]20[/C][C]20[/C][C]20[/C][C]20[/C][C]20[/C][C]20[/C][/ROW]
[ROW][C]0.39[/C][C]20[/C][C]20[/C][C]20[/C][C]20[/C][C]20[/C][C]20[/C][C]20[/C][C]20[/C][/ROW]
[ROW][C]0.4[/C][C]20[/C][C]20[/C][C]20[/C][C]20[/C][C]20[/C][C]20[/C][C]20[/C][C]20[/C][/ROW]
[ROW][C]0.41[/C][C]20[/C][C]20[/C][C]20[/C][C]20[/C][C]20[/C][C]20[/C][C]20[/C][C]20[/C][/ROW]
[ROW][C]0.42[/C][C]20[/C][C]20[/C][C]20[/C][C]20[/C][C]20[/C][C]20[/C][C]20[/C][C]20[/C][/ROW]
[ROW][C]0.43[/C][C]20.66[/C][C]21[/C][C]21[/C][C]21[/C][C]21[/C][C]21[/C][C]21[/C][C]21[/C][/ROW]
[ROW][C]0.44[/C][C]21[/C][C]21[/C][C]21[/C][C]21[/C][C]21[/C][C]21[/C][C]21[/C][C]21[/C][/ROW]
[ROW][C]0.45[/C][C]21[/C][C]21[/C][C]21[/C][C]21[/C][C]21[/C][C]21[/C][C]21[/C][C]21[/C][/ROW]
[ROW][C]0.46[/C][C]21[/C][C]21[/C][C]21[/C][C]21[/C][C]21[/C][C]21[/C][C]21[/C][C]21[/C][/ROW]
[ROW][C]0.47[/C][C]21[/C][C]21[/C][C]21[/C][C]21[/C][C]21[/C][C]21[/C][C]21[/C][C]21[/C][/ROW]
[ROW][C]0.48[/C][C]21[/C][C]21[/C][C]21[/C][C]21[/C][C]21[/C][C]21[/C][C]21[/C][C]21[/C][/ROW]
[ROW][C]0.49[/C][C]21[/C][C]21[/C][C]21[/C][C]21[/C][C]21[/C][C]21[/C][C]21[/C][C]21[/C][/ROW]
[ROW][C]0.5[/C][C]21[/C][C]21[/C][C]21[/C][C]21[/C][C]21[/C][C]21[/C][C]21[/C][C]21[/C][/ROW]
[ROW][C]0.51[/C][C]21[/C][C]21[/C][C]21[/C][C]21[/C][C]21[/C][C]21[/C][C]21[/C][C]21[/C][/ROW]
[ROW][C]0.52[/C][C]21[/C][C]21[/C][C]21[/C][C]21[/C][C]21[/C][C]21[/C][C]21[/C][C]21[/C][/ROW]
[ROW][C]0.53[/C][C]21[/C][C]21[/C][C]21[/C][C]21[/C][C]21[/C][C]21[/C][C]21[/C][C]21[/C][/ROW]
[ROW][C]0.54[/C][C]21[/C][C]21[/C][C]21[/C][C]21[/C][C]21[/C][C]21[/C][C]21[/C][C]21[/C][/ROW]
[ROW][C]0.55[/C][C]21.1[/C][C]21.65[/C][C]22[/C][C]22[/C][C]21.55[/C][C]21[/C][C]21.35[/C][C]22[/C][/ROW]
[ROW][C]0.56[/C][C]22[/C][C]22[/C][C]22[/C][C]22[/C][C]22[/C][C]22[/C][C]22[/C][C]22[/C][/ROW]
[ROW][C]0.57[/C][C]22[/C][C]22[/C][C]22[/C][C]22[/C][C]22[/C][C]22[/C][C]22[/C][C]22[/C][/ROW]
[ROW][C]0.58[/C][C]22[/C][C]22[/C][C]22[/C][C]22[/C][C]22[/C][C]22[/C][C]22[/C][C]22[/C][/ROW]
[ROW][C]0.59[/C][C]22[/C][C]22[/C][C]22[/C][C]22[/C][C]22[/C][C]22[/C][C]22[/C][C]22[/C][/ROW]
[ROW][C]0.6[/C][C]22[/C][C]22[/C][C]22[/C][C]22[/C][C]22[/C][C]22[/C][C]22[/C][C]22[/C][/ROW]
[ROW][C]0.61[/C][C]22[/C][C]22[/C][C]22[/C][C]22[/C][C]22[/C][C]22[/C][C]22[/C][C]22[/C][/ROW]
[ROW][C]0.62[/C][C]22[/C][C]22[/C][C]22[/C][C]22[/C][C]22[/C][C]22[/C][C]22[/C][C]22[/C][/ROW]
[ROW][C]0.63[/C][C]22[/C][C]22[/C][C]22[/C][C]22[/C][C]22[/C][C]22[/C][C]22[/C][C]22[/C][/ROW]
[ROW][C]0.64[/C][C]22[/C][C]22[/C][C]22[/C][C]22[/C][C]22[/C][C]22[/C][C]22[/C][C]22[/C][/ROW]
[ROW][C]0.65[/C][C]22[/C][C]22[/C][C]22[/C][C]22[/C][C]22[/C][C]22[/C][C]22[/C][C]22[/C][/ROW]
[ROW][C]0.66[/C][C]22.92[/C][C]23[/C][C]23[/C][C]23[/C][C]23[/C][C]23[/C][C]23[/C][C]23[/C][/ROW]
[ROW][C]0.67[/C][C]23[/C][C]23[/C][C]23[/C][C]23[/C][C]23[/C][C]23[/C][C]23[/C][C]23[/C][/ROW]
[ROW][C]0.68[/C][C]23[/C][C]23[/C][C]23[/C][C]23[/C][C]23[/C][C]23[/C][C]23[/C][C]23[/C][/ROW]
[ROW][C]0.69[/C][C]23[/C][C]23[/C][C]23[/C][C]23[/C][C]23[/C][C]23[/C][C]23[/C][C]23[/C][/ROW]
[ROW][C]0.7[/C][C]23[/C][C]23[/C][C]23[/C][C]23[/C][C]23[/C][C]23[/C][C]23[/C][C]23[/C][/ROW]
[ROW][C]0.71[/C][C]23[/C][C]23[/C][C]23[/C][C]23[/C][C]23[/C][C]23[/C][C]23[/C][C]23[/C][/ROW]
[ROW][C]0.72[/C][C]23[/C][C]23[/C][C]23[/C][C]23[/C][C]23[/C][C]23[/C][C]23[/C][C]23[/C][/ROW]
[ROW][C]0.73[/C][C]23[/C][C]23[/C][C]23[/C][C]23[/C][C]23[/C][C]23[/C][C]23[/C][C]23[/C][/ROW]
[ROW][C]0.74[/C][C]23[/C][C]23[/C][C]23[/C][C]23[/C][C]23[/C][C]23[/C][C]23[/C][C]23[/C][/ROW]
[ROW][C]0.75[/C][C]23.5[/C][C]24[/C][C]24[/C][C]24[/C][C]23.75[/C][C]24[/C][C]24[/C][C]24[/C][/ROW]
[ROW][C]0.76[/C][C]24[/C][C]24[/C][C]24[/C][C]24[/C][C]24[/C][C]24[/C][C]24[/C][C]24[/C][/ROW]
[ROW][C]0.77[/C][C]24[/C][C]24[/C][C]24[/C][C]24[/C][C]24[/C][C]24[/C][C]24[/C][C]24[/C][/ROW]
[ROW][C]0.78[/C][C]24[/C][C]24[/C][C]24[/C][C]24[/C][C]24[/C][C]24[/C][C]24[/C][C]24[/C][/ROW]
[ROW][C]0.79[/C][C]24[/C][C]24[/C][C]24[/C][C]24[/C][C]24[/C][C]24[/C][C]24[/C][C]24[/C][/ROW]
[ROW][C]0.8[/C][C]24[/C][C]24[/C][C]24[/C][C]24[/C][C]24[/C][C]24[/C][C]24[/C][C]24[/C][/ROW]
[ROW][C]0.81[/C][C]24[/C][C]24[/C][C]24[/C][C]24[/C][C]24[/C][C]24[/C][C]24[/C][C]24[/C][/ROW]
[ROW][C]0.82[/C][C]24[/C][C]24[/C][C]24[/C][C]24[/C][C]24[/C][C]24[/C][C]24[/C][C]24[/C][/ROW]
[ROW][C]0.83[/C][C]24[/C][C]24[/C][C]24[/C][C]24[/C][C]24[/C][C]24[/C][C]24[/C][C]24[/C][/ROW]
[ROW][C]0.84[/C][C]24.08[/C][C]24.92[/C][C]25[/C][C]25[/C][C]24.24[/C][C]24[/C][C]24.08[/C][C]25[/C][/ROW]
[ROW][C]0.85[/C][C]25[/C][C]25[/C][C]25[/C][C]25[/C][C]25[/C][C]25[/C][C]25[/C][C]25[/C][/ROW]
[ROW][C]0.86[/C][C]25[/C][C]25[/C][C]25[/C][C]25[/C][C]25[/C][C]25[/C][C]25[/C][C]25[/C][/ROW]
[ROW][C]0.87[/C][C]25[/C][C]25[/C][C]25[/C][C]25[/C][C]25[/C][C]25[/C][C]25[/C][C]25[/C][/ROW]
[ROW][C]0.88[/C][C]25[/C][C]25[/C][C]25[/C][C]25[/C][C]25[/C][C]25[/C][C]25[/C][C]25[/C][/ROW]
[ROW][C]0.89[/C][C]25[/C][C]25.07[/C][C]25[/C][C]25[/C][C]25[/C][C]25[/C][C]25.93[/C][C]25[/C][/ROW]
[ROW][C]0.9[/C][C]25.8[/C][C]26[/C][C]26[/C][C]26[/C][C]25.9[/C][C]26[/C][C]26[/C][C]26[/C][/ROW]
[ROW][C]0.91[/C][C]26[/C][C]26[/C][C]26[/C][C]26[/C][C]26[/C][C]26[/C][C]26[/C][C]26[/C][/ROW]
[ROW][C]0.92[/C][C]26[/C][C]26[/C][C]26[/C][C]26[/C][C]26[/C][C]26[/C][C]26[/C][C]26[/C][/ROW]
[ROW][C]0.93[/C][C]26[/C][C]26[/C][C]26[/C][C]26[/C][C]26[/C][C]26[/C][C]26[/C][C]26[/C][/ROW]
[ROW][C]0.94[/C][C]26[/C][C]26[/C][C]26[/C][C]26[/C][C]26[/C][C]26[/C][C]26[/C][C]26[/C][/ROW]
[ROW][C]0.95[/C][C]26[/C][C]26.85[/C][C]26[/C][C]26[/C][C]26[/C][C]26[/C][C]26.15[/C][C]27[/C][/ROW]
[ROW][C]0.96[/C][C]27[/C][C]27[/C][C]27[/C][C]27[/C][C]27[/C][C]27[/C][C]27[/C][C]27[/C][/ROW]
[ROW][C]0.97[/C][C]27[/C][C]27.11[/C][C]27[/C][C]27[/C][C]27[/C][C]27[/C][C]27.89[/C][C]27[/C][/ROW]
[ROW][C]0.98[/C][C]27.76[/C][C]28[/C][C]28[/C][C]28[/C][C]27.78[/C][C]28[/C][C]28[/C][C]28[/C][/ROW]
[ROW][C]0.99[/C][C]28[/C][C]28[/C][C]28[/C][C]28[/C][C]28[/C][C]28[/C][C]28[/C][C]28[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=178546&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=178546&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)
0.017.247.26889.2286.748
0.0210.2410.261111111010.7410
0.031111111111111111
0.0411.4811.52121212.441111.4812
0.051313131313.05131313
0.0613.7213.781414141413.2214
0.071414141414141414
0.081414.04141414.881414.9614
0.091515151515151515
0.11515151515151515
0.111515151515151515
0.121515151515.32151515
0.131616161616161616
0.141616161616161616
0.151616161616161616
0.161616161616161616
0.1716.5416.711717171716.2917
0.181717171717171717
0.191717171717171717
0.21717171717171717
0.211717171717171717
0.2217.6417.861818181817.1418
0.231818181818181818
0.241818181818181818
0.251818181818181818
0.261818181818181818
0.271818181818181818
0.281818181818181818
0.291818181818181818
0.318.618.91919191918.119
0.311919191919191919
0.321919191919191919
0.3319.4619.792020201919.2120
0.342020202020202020
0.352020202020202020
0.362020202020202020
0.372020202020202020
0.382020202020202020
0.392020202020202020
0.42020202020202020
0.412020202020202020
0.422020202020202020
0.4320.6621212121212121
0.442121212121212121
0.452121212121212121
0.462121212121212121
0.472121212121212121
0.482121212121212121
0.492121212121212121
0.52121212121212121
0.512121212121212121
0.522121212121212121
0.532121212121212121
0.542121212121212121
0.5521.121.65222221.552121.3522
0.562222222222222222
0.572222222222222222
0.582222222222222222
0.592222222222222222
0.62222222222222222
0.612222222222222222
0.622222222222222222
0.632222222222222222
0.642222222222222222
0.652222222222222222
0.6622.9223232323232323
0.672323232323232323
0.682323232323232323
0.692323232323232323
0.72323232323232323
0.712323232323232323
0.722323232323232323
0.732323232323232323
0.742323232323232323
0.7523.524242423.75242424
0.762424242424242424
0.772424242424242424
0.782424242424242424
0.792424242424242424
0.82424242424242424
0.812424242424242424
0.822424242424242424
0.832424242424242424
0.8424.0824.92252524.242424.0825
0.852525252525252525
0.862525252525252525
0.872525252525252525
0.882525252525252525
0.892525.072525252525.9325
0.925.826262625.9262626
0.912626262626262626
0.922626262626262626
0.932626262626262626
0.942626262626262626
0.952626.852626262626.1527
0.962727272727272727
0.972727.112727272727.8927
0.9827.7628282827.78282828
0.992828282828282828



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.el