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, 19 Oct 2010 19:30:15 +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/Oct/19/t1287516527hklz5ued7ps669q.htm/, Retrieved Mon, 29 Apr 2024 04:50:15 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=86977, Retrieved Mon, 29 Apr 2024 04:50:15 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact83
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]
-   PD  [Percentiles] [] [2010-10-19 19:26:06] [1908ef7bb1a3d37a854f5aaad1a1c348]
-    D    [Percentiles] [] [2010-10-19 19:27:11] [1908ef7bb1a3d37a854f5aaad1a1c348]
-    D      [Percentiles] [] [2010-10-19 19:28:22] [1908ef7bb1a3d37a854f5aaad1a1c348]
-    D        [Percentiles] [] [2010-10-19 19:29:17] [1908ef7bb1a3d37a854f5aaad1a1c348]
-    D            [Percentiles] [] [2010-10-19 19:30:15] [23ca1b0f6f6de1e008a90be3f55e3db8] [Current]
-    D              [Percentiles] [] [2010-10-19 19:31:12] [1908ef7bb1a3d37a854f5aaad1a1c348]
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Dataseries X:
23
20
20
21
24
22
23
20
25
23
27
27
22
24
25
22
28
28
27
25
16
28
21
24
27
14
14
27
20
21
22
21
12
20
24
19
28
23
27
22
27
26
22
21
19
24
19
26
22
28
21
23
28
10
24
21
21
24
24
25
25
23
21
16
17
25
24
23
25
23
28
26
22
19
26
18
18
25
27
12
15
21
23
22
21
24
27
22
28
26
10
19
22
21
24
25
21
20
21
24
23
18
24
24
19
20
18
20
27
23
26
23
17
21
25
23
27
24
20
27
21
24
21
15
25
25
22
24
21
22
23
22
20
23
25
23
22
25
26
22
24
24
25
20
26
21
26
21
22
16
26
28
18
25
23
21
20
25
22
21
16
18




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'RServer@AstonUniversity' @ vre.aston.ac.uk

\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 & 'RServer@AstonUniversity' @ vre.aston.ac.uk \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=86977&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]'RServer@AstonUniversity' @ vre.aston.ac.uk[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=86977&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=86977&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'RServer@AstonUniversity' @ vre.aston.ac.uk







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)
0.011010101011.22101010
0.021212121212.44121212
0.0313.7213.781414141412.2214
0.0414.4814.521515151414.4815
0.0515.115.151616161515.8515
0.061616161616161616
0.071616161616.27161616
0.0816.9617171717171717
0.0917.5817.671818181817.3318
0.11818181818181818
0.111818181818181818
0.121818181818.32181818
0.131919191919191919
0.141919191919191919
0.151919191919191919
0.161919.08191919.761919.9219
0.172020202020202020
0.182020202020202020
0.192020202020202020
0.22020202020202020
0.212020202020202020
0.222020202020202020
0.232020202020.03202020
0.2420.8821212121212121
0.252121212121212121
0.262121212121212121
0.272121212121212121
0.282121212121212121
0.292121212121212121
0.32121212121212121
0.312121212121212121
0.322121212121212121
0.332121212121212121
0.342121212121212121
0.352121212121212121
0.362121212121212121
0.372121.31212121.572121.6921
0.382222222222222222
0.392222222222222222
0.42222222222222222
0.412222222222222222
0.422222222222222222
0.432222222222222222
0.442222222222222222
0.452222222222222222
0.462222222222222222
0.472222222222222222
0.482222.24222222.282222.7622
0.492323232323232323
0.52323232323232323
0.512323232323232323
0.522323232323232323
0.532323232323232323
0.542323232323232323
0.552323232323232323
0.562323232323232323
0.572323232323232323
0.582323232323232323
0.5923.5824242423.99242424
0.62424242424242424
0.612424242424242424
0.622424242424242424
0.632424242424242424
0.642424242424242424
0.652424242424242424
0.662424242424242424
0.672424242424242424
0.682424242424242424
0.692424242424242424
0.72424.12424242424.924
0.712525252525252525
0.722525252525252525
0.732525252525252525
0.742525252525252525
0.752525252525252525
0.762525252525252525
0.772525252525252525
0.782525252525252525
0.792525252525252525
0.82525252525252525
0.8125.2226262625.41252626
0.822626262626262626
0.832626262626262626
0.842626262626262626
0.852626262626262626
0.862626262626262626
0.872626.81262626.072626.1927
0.882727272727272727
0.892727272727272727
0.92727272727272727
0.912727272727272727
0.922727272727272727
0.932727272727272727
0.942727.222727272727.7827
0.9527.928282827.95282828
0.962828282828282828
0.972828282828282828
0.982828282828282828
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 & 10 & 10 & 10 & 10 & 11.22 & 10 & 10 & 10 \tabularnewline
0.02 & 12 & 12 & 12 & 12 & 12.44 & 12 & 12 & 12 \tabularnewline
0.03 & 13.72 & 13.78 & 14 & 14 & 14 & 14 & 12.22 & 14 \tabularnewline
0.04 & 14.48 & 14.52 & 15 & 15 & 15 & 14 & 14.48 & 15 \tabularnewline
0.05 & 15.1 & 15.15 & 16 & 16 & 16 & 15 & 15.85 & 15 \tabularnewline
0.06 & 16 & 16 & 16 & 16 & 16 & 16 & 16 & 16 \tabularnewline
0.07 & 16 & 16 & 16 & 16 & 16.27 & 16 & 16 & 16 \tabularnewline
0.08 & 16.96 & 17 & 17 & 17 & 17 & 17 & 17 & 17 \tabularnewline
0.09 & 17.58 & 17.67 & 18 & 18 & 18 & 18 & 17.33 & 18 \tabularnewline
0.1 & 18 & 18 & 18 & 18 & 18 & 18 & 18 & 18 \tabularnewline
0.11 & 18 & 18 & 18 & 18 & 18 & 18 & 18 & 18 \tabularnewline
0.12 & 18 & 18 & 18 & 18 & 18.32 & 18 & 18 & 18 \tabularnewline
0.13 & 19 & 19 & 19 & 19 & 19 & 19 & 19 & 19 \tabularnewline
0.14 & 19 & 19 & 19 & 19 & 19 & 19 & 19 & 19 \tabularnewline
0.15 & 19 & 19 & 19 & 19 & 19 & 19 & 19 & 19 \tabularnewline
0.16 & 19 & 19.08 & 19 & 19 & 19.76 & 19 & 19.92 & 19 \tabularnewline
0.17 & 20 & 20 & 20 & 20 & 20 & 20 & 20 & 20 \tabularnewline
0.18 & 20 & 20 & 20 & 20 & 20 & 20 & 20 & 20 \tabularnewline
0.19 & 20 & 20 & 20 & 20 & 20 & 20 & 20 & 20 \tabularnewline
0.2 & 20 & 20 & 20 & 20 & 20 & 20 & 20 & 20 \tabularnewline
0.21 & 20 & 20 & 20 & 20 & 20 & 20 & 20 & 20 \tabularnewline
0.22 & 20 & 20 & 20 & 20 & 20 & 20 & 20 & 20 \tabularnewline
0.23 & 20 & 20 & 20 & 20 & 20.03 & 20 & 20 & 20 \tabularnewline
0.24 & 20.88 & 21 & 21 & 21 & 21 & 21 & 21 & 21 \tabularnewline
0.25 & 21 & 21 & 21 & 21 & 21 & 21 & 21 & 21 \tabularnewline
0.26 & 21 & 21 & 21 & 21 & 21 & 21 & 21 & 21 \tabularnewline
0.27 & 21 & 21 & 21 & 21 & 21 & 21 & 21 & 21 \tabularnewline
0.28 & 21 & 21 & 21 & 21 & 21 & 21 & 21 & 21 \tabularnewline
0.29 & 21 & 21 & 21 & 21 & 21 & 21 & 21 & 21 \tabularnewline
0.3 & 21 & 21 & 21 & 21 & 21 & 21 & 21 & 21 \tabularnewline
0.31 & 21 & 21 & 21 & 21 & 21 & 21 & 21 & 21 \tabularnewline
0.32 & 21 & 21 & 21 & 21 & 21 & 21 & 21 & 21 \tabularnewline
0.33 & 21 & 21 & 21 & 21 & 21 & 21 & 21 & 21 \tabularnewline
0.34 & 21 & 21 & 21 & 21 & 21 & 21 & 21 & 21 \tabularnewline
0.35 & 21 & 21 & 21 & 21 & 21 & 21 & 21 & 21 \tabularnewline
0.36 & 21 & 21 & 21 & 21 & 21 & 21 & 21 & 21 \tabularnewline
0.37 & 21 & 21.31 & 21 & 21 & 21.57 & 21 & 21.69 & 21 \tabularnewline
0.38 & 22 & 22 & 22 & 22 & 22 & 22 & 22 & 22 \tabularnewline
0.39 & 22 & 22 & 22 & 22 & 22 & 22 & 22 & 22 \tabularnewline
0.4 & 22 & 22 & 22 & 22 & 22 & 22 & 22 & 22 \tabularnewline
0.41 & 22 & 22 & 22 & 22 & 22 & 22 & 22 & 22 \tabularnewline
0.42 & 22 & 22 & 22 & 22 & 22 & 22 & 22 & 22 \tabularnewline
0.43 & 22 & 22 & 22 & 22 & 22 & 22 & 22 & 22 \tabularnewline
0.44 & 22 & 22 & 22 & 22 & 22 & 22 & 22 & 22 \tabularnewline
0.45 & 22 & 22 & 22 & 22 & 22 & 22 & 22 & 22 \tabularnewline
0.46 & 22 & 22 & 22 & 22 & 22 & 22 & 22 & 22 \tabularnewline
0.47 & 22 & 22 & 22 & 22 & 22 & 22 & 22 & 22 \tabularnewline
0.48 & 22 & 22.24 & 22 & 22 & 22.28 & 22 & 22.76 & 22 \tabularnewline
0.49 & 23 & 23 & 23 & 23 & 23 & 23 & 23 & 23 \tabularnewline
0.5 & 23 & 23 & 23 & 23 & 23 & 23 & 23 & 23 \tabularnewline
0.51 & 23 & 23 & 23 & 23 & 23 & 23 & 23 & 23 \tabularnewline
0.52 & 23 & 23 & 23 & 23 & 23 & 23 & 23 & 23 \tabularnewline
0.53 & 23 & 23 & 23 & 23 & 23 & 23 & 23 & 23 \tabularnewline
0.54 & 23 & 23 & 23 & 23 & 23 & 23 & 23 & 23 \tabularnewline
0.55 & 23 & 23 & 23 & 23 & 23 & 23 & 23 & 23 \tabularnewline
0.56 & 23 & 23 & 23 & 23 & 23 & 23 & 23 & 23 \tabularnewline
0.57 & 23 & 23 & 23 & 23 & 23 & 23 & 23 & 23 \tabularnewline
0.58 & 23 & 23 & 23 & 23 & 23 & 23 & 23 & 23 \tabularnewline
0.59 & 23.58 & 24 & 24 & 24 & 23.99 & 24 & 24 & 24 \tabularnewline
0.6 & 24 & 24 & 24 & 24 & 24 & 24 & 24 & 24 \tabularnewline
0.61 & 24 & 24 & 24 & 24 & 24 & 24 & 24 & 24 \tabularnewline
0.62 & 24 & 24 & 24 & 24 & 24 & 24 & 24 & 24 \tabularnewline
0.63 & 24 & 24 & 24 & 24 & 24 & 24 & 24 & 24 \tabularnewline
0.64 & 24 & 24 & 24 & 24 & 24 & 24 & 24 & 24 \tabularnewline
0.65 & 24 & 24 & 24 & 24 & 24 & 24 & 24 & 24 \tabularnewline
0.66 & 24 & 24 & 24 & 24 & 24 & 24 & 24 & 24 \tabularnewline
0.67 & 24 & 24 & 24 & 24 & 24 & 24 & 24 & 24 \tabularnewline
0.68 & 24 & 24 & 24 & 24 & 24 & 24 & 24 & 24 \tabularnewline
0.69 & 24 & 24 & 24 & 24 & 24 & 24 & 24 & 24 \tabularnewline
0.7 & 24 & 24.1 & 24 & 24 & 24 & 24 & 24.9 & 24 \tabularnewline
0.71 & 25 & 25 & 25 & 25 & 25 & 25 & 25 & 25 \tabularnewline
0.72 & 25 & 25 & 25 & 25 & 25 & 25 & 25 & 25 \tabularnewline
0.73 & 25 & 25 & 25 & 25 & 25 & 25 & 25 & 25 \tabularnewline
0.74 & 25 & 25 & 25 & 25 & 25 & 25 & 25 & 25 \tabularnewline
0.75 & 25 & 25 & 25 & 25 & 25 & 25 & 25 & 25 \tabularnewline
0.76 & 25 & 25 & 25 & 25 & 25 & 25 & 25 & 25 \tabularnewline
0.77 & 25 & 25 & 25 & 25 & 25 & 25 & 25 & 25 \tabularnewline
0.78 & 25 & 25 & 25 & 25 & 25 & 25 & 25 & 25 \tabularnewline
0.79 & 25 & 25 & 25 & 25 & 25 & 25 & 25 & 25 \tabularnewline
0.8 & 25 & 25 & 25 & 25 & 25 & 25 & 25 & 25 \tabularnewline
0.81 & 25.22 & 26 & 26 & 26 & 25.41 & 25 & 26 & 26 \tabularnewline
0.82 & 26 & 26 & 26 & 26 & 26 & 26 & 26 & 26 \tabularnewline
0.83 & 26 & 26 & 26 & 26 & 26 & 26 & 26 & 26 \tabularnewline
0.84 & 26 & 26 & 26 & 26 & 26 & 26 & 26 & 26 \tabularnewline
0.85 & 26 & 26 & 26 & 26 & 26 & 26 & 26 & 26 \tabularnewline
0.86 & 26 & 26 & 26 & 26 & 26 & 26 & 26 & 26 \tabularnewline
0.87 & 26 & 26.81 & 26 & 26 & 26.07 & 26 & 26.19 & 27 \tabularnewline
0.88 & 27 & 27 & 27 & 27 & 27 & 27 & 27 & 27 \tabularnewline
0.89 & 27 & 27 & 27 & 27 & 27 & 27 & 27 & 27 \tabularnewline
0.9 & 27 & 27 & 27 & 27 & 27 & 27 & 27 & 27 \tabularnewline
0.91 & 27 & 27 & 27 & 27 & 27 & 27 & 27 & 27 \tabularnewline
0.92 & 27 & 27 & 27 & 27 & 27 & 27 & 27 & 27 \tabularnewline
0.93 & 27 & 27 & 27 & 27 & 27 & 27 & 27 & 27 \tabularnewline
0.94 & 27 & 27.22 & 27 & 27 & 27 & 27 & 27.78 & 27 \tabularnewline
0.95 & 27.9 & 28 & 28 & 28 & 27.95 & 28 & 28 & 28 \tabularnewline
0.96 & 28 & 28 & 28 & 28 & 28 & 28 & 28 & 28 \tabularnewline
0.97 & 28 & 28 & 28 & 28 & 28 & 28 & 28 & 28 \tabularnewline
0.98 & 28 & 28 & 28 & 28 & 28 & 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=86977&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]10[/C][C]10[/C][C]10[/C][C]10[/C][C]11.22[/C][C]10[/C][C]10[/C][C]10[/C][/ROW]
[ROW][C]0.02[/C][C]12[/C][C]12[/C][C]12[/C][C]12[/C][C]12.44[/C][C]12[/C][C]12[/C][C]12[/C][/ROW]
[ROW][C]0.03[/C][C]13.72[/C][C]13.78[/C][C]14[/C][C]14[/C][C]14[/C][C]14[/C][C]12.22[/C][C]14[/C][/ROW]
[ROW][C]0.04[/C][C]14.48[/C][C]14.52[/C][C]15[/C][C]15[/C][C]15[/C][C]14[/C][C]14.48[/C][C]15[/C][/ROW]
[ROW][C]0.05[/C][C]15.1[/C][C]15.15[/C][C]16[/C][C]16[/C][C]16[/C][C]15[/C][C]15.85[/C][C]15[/C][/ROW]
[ROW][C]0.06[/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]0.07[/C][C]16[/C][C]16[/C][C]16[/C][C]16[/C][C]16.27[/C][C]16[/C][C]16[/C][C]16[/C][/ROW]
[ROW][C]0.08[/C][C]16.96[/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]0.09[/C][C]17.58[/C][C]17.67[/C][C]18[/C][C]18[/C][C]18[/C][C]18[/C][C]17.33[/C][C]18[/C][/ROW]
[ROW][C]0.1[/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]0.11[/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]0.12[/C][C]18[/C][C]18[/C][C]18[/C][C]18[/C][C]18.32[/C][C]18[/C][C]18[/C][C]18[/C][/ROW]
[ROW][C]0.13[/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]0.14[/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]0.15[/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]0.16[/C][C]19[/C][C]19.08[/C][C]19[/C][C]19[/C][C]19.76[/C][C]19[/C][C]19.92[/C][C]19[/C][/ROW]
[ROW][C]0.17[/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]0.18[/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]0.19[/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]0.2[/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]0.21[/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]0.22[/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]0.23[/C][C]20[/C][C]20[/C][C]20[/C][C]20[/C][C]20.03[/C][C]20[/C][C]20[/C][C]20[/C][/ROW]
[ROW][C]0.24[/C][C]20.88[/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]0.25[/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]0.26[/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]0.27[/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]0.28[/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]0.29[/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]0.3[/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]0.31[/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]0.32[/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]0.33[/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]0.34[/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]0.35[/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]0.36[/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]0.37[/C][C]21[/C][C]21.31[/C][C]21[/C][C]21[/C][C]21.57[/C][C]21[/C][C]21.69[/C][C]21[/C][/ROW]
[ROW][C]0.38[/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]0.39[/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]0.4[/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]0.41[/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]0.42[/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]0.43[/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]0.44[/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]0.45[/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]0.46[/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]0.47[/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]0.48[/C][C]22[/C][C]22.24[/C][C]22[/C][C]22[/C][C]22.28[/C][C]22[/C][C]22.76[/C][C]22[/C][/ROW]
[ROW][C]0.49[/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]0.5[/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]0.51[/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]0.52[/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]0.53[/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]0.54[/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]0.55[/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]0.56[/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]0.57[/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]0.58[/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]0.59[/C][C]23.58[/C][C]24[/C][C]24[/C][C]24[/C][C]23.99[/C][C]24[/C][C]24[/C][C]24[/C][/ROW]
[ROW][C]0.6[/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]0.61[/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]0.62[/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]0.63[/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]0.64[/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]0.65[/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]0.66[/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]0.67[/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]0.68[/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]0.69[/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]0.7[/C][C]24[/C][C]24.1[/C][C]24[/C][C]24[/C][C]24[/C][C]24[/C][C]24.9[/C][C]24[/C][/ROW]
[ROW][C]0.71[/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]0.72[/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]0.73[/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]0.74[/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]0.75[/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]0.76[/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]0.77[/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]0.78[/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]0.79[/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]0.8[/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]0.81[/C][C]25.22[/C][C]26[/C][C]26[/C][C]26[/C][C]25.41[/C][C]25[/C][C]26[/C][C]26[/C][/ROW]
[ROW][C]0.82[/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]0.83[/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]0.84[/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]0.85[/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]0.86[/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]0.87[/C][C]26[/C][C]26.81[/C][C]26[/C][C]26[/C][C]26.07[/C][C]26[/C][C]26.19[/C][C]27[/C][/ROW]
[ROW][C]0.88[/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]0.89[/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]0.9[/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]0.91[/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]0.92[/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]0.93[/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]0.94[/C][C]27[/C][C]27.22[/C][C]27[/C][C]27[/C][C]27[/C][C]27[/C][C]27.78[/C][C]27[/C][/ROW]
[ROW][C]0.95[/C][C]27.9[/C][C]28[/C][C]28[/C][C]28[/C][C]27.95[/C][C]28[/C][C]28[/C][C]28[/C][/ROW]
[ROW][C]0.96[/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]
[ROW][C]0.97[/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]
[ROW][C]0.98[/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]
[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=86977&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=86977&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)
0.011010101011.22101010
0.021212121212.44121212
0.0313.7213.781414141412.2214
0.0414.4814.521515151414.4815
0.0515.115.151616161515.8515
0.061616161616161616
0.071616161616.27161616
0.0816.9617171717171717
0.0917.5817.671818181817.3318
0.11818181818181818
0.111818181818181818
0.121818181818.32181818
0.131919191919191919
0.141919191919191919
0.151919191919191919
0.161919.08191919.761919.9219
0.172020202020202020
0.182020202020202020
0.192020202020202020
0.22020202020202020
0.212020202020202020
0.222020202020202020
0.232020202020.03202020
0.2420.8821212121212121
0.252121212121212121
0.262121212121212121
0.272121212121212121
0.282121212121212121
0.292121212121212121
0.32121212121212121
0.312121212121212121
0.322121212121212121
0.332121212121212121
0.342121212121212121
0.352121212121212121
0.362121212121212121
0.372121.31212121.572121.6921
0.382222222222222222
0.392222222222222222
0.42222222222222222
0.412222222222222222
0.422222222222222222
0.432222222222222222
0.442222222222222222
0.452222222222222222
0.462222222222222222
0.472222222222222222
0.482222.24222222.282222.7622
0.492323232323232323
0.52323232323232323
0.512323232323232323
0.522323232323232323
0.532323232323232323
0.542323232323232323
0.552323232323232323
0.562323232323232323
0.572323232323232323
0.582323232323232323
0.5923.5824242423.99242424
0.62424242424242424
0.612424242424242424
0.622424242424242424
0.632424242424242424
0.642424242424242424
0.652424242424242424
0.662424242424242424
0.672424242424242424
0.682424242424242424
0.692424242424242424
0.72424.12424242424.924
0.712525252525252525
0.722525252525252525
0.732525252525252525
0.742525252525252525
0.752525252525252525
0.762525252525252525
0.772525252525252525
0.782525252525252525
0.792525252525252525
0.82525252525252525
0.8125.2226262625.41252626
0.822626262626262626
0.832626262626262626
0.842626262626262626
0.852626262626262626
0.862626262626262626
0.872626.81262626.072626.1927
0.882727272727272727
0.892727272727272727
0.92727272727272727
0.912727272727272727
0.922727272727272727
0.932727272727272727
0.942727.222727272727.7827
0.9527.928282827.95282828
0.962828282828282828
0.972828282828282828
0.982828282828282828
0.992828282828282828



Parameters (Session):
par1 = 8 ; par2 = 0 ;
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')