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 computationWed, 10 Dec 2014 15:03:55 +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/2014/Dec/10/t1418223847tywvk8j8o4ouwvq.htm/, Retrieved Sat, 18 May 2024 18:04:04 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=265322, Retrieved Sat, 18 May 2024 18:04:04 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact76
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]
- RM D  [Percentiles] [] [2014-12-10 15:01:25] [2add28fdfb91c9297fa0715b27e01e1f]
-    D      [Percentiles] [] [2014-12-10 15:03:55] [b4b65124834fa3a3e625dd03af063494] [Current]
-    D        [Percentiles] [] [2014-12-10 15:05:34] [2add28fdfb91c9297fa0715b27e01e1f]
-    D          [Percentiles] [] [2014-12-10 16:40:56] [2add28fdfb91c9297fa0715b27e01e1f]
-   PD          [Percentiles] [] [2014-12-10 16:43:33] [2add28fdfb91c9297fa0715b27e01e1f]
-   PD        [Percentiles] [] [2014-12-10 16:44:18] [2add28fdfb91c9297fa0715b27e01e1f]
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Dataseries X:
8
18
12
24
16
19
16
15
28
21
18
22
19
22
25
20
16
19
18
26
24
20
19
19
23
18
16
18
21
20
15
19
19
7
20
20
19
19
20
18
14
17
17
8
9
22
20
20
22
22
22
16
14
24
21
20
20
18
14
19
24
19
16
16
16
14
22
21
15
14
15
14
20
21
14
19
16
13
26
13
18
15
18
21
17
18
20
18
25
20
19
18
12
22
16
18
23
20
20
16
22
19
23
6
19
24
19
15
18
18
22
23
18
17
6
22
20
16
16
17
20
23
18
13
22
20
20
13
16
25
16
15
19
19
24
9
22
15
22
22
24
12
21
25
26
21
14
28
21
16
16
25
21
22
9
20
19
24
22
22
12
17
18
10
22
24
18
18
23
21
21
28
17
21
21
20
18
17
7
17
14
18
14
23
20
14
17
21
23
24
21
14
24
16
21
8
17
18
17
16
22
17
21
20
20
19
8
19
11
13
18
19
23
20
22
19
16
11
21
14
21
20
21
20
19
19
18
20
21
22
19
23
16
23
18
23
20
20
23
13
21
26
18
19
18
18
19
13
10
21
24
21
23
18
11
16
20
20
26
21
12
15
18
14
18
16
19
7
21
24
21
20
22
17
19
20
16
20
16
19
19
24
7
17
23
23
21
18
4
27
18
20
15
19
14
14
17
20
16
16
11
21
10
18
18
16
15
17
15
12
20
20
18
21
22
21
25
12
22
24
17
20
20
19
24
18
15
25
27
17
18
17
24
18
27
18
23
18
21
25
18
19
20
11
22
24
23
16
24
16
16
18
17
21
15
15
19
21
19
19
18
14
17
25
14
19
20
20
20
19
18
22
18
22
19
20
22
22
24
18
21
22
19
18
24
21
21
20
17
20
22
24
24
20
19
20
16
21
22
19
19
13
22
20
21
21
15
23
22
15
20
23
21
18
23
16
18
18
10
17
20
13
25
18
20
18
19
11
17
22
21
19
20
21
22
20
21
15
22
21
28
20
20
23
15
19
21
19
16
17
26
20
13
19
21
21
24
23
20
23
24
8
19
18
20
21
16
17
21
27
12
17
17
18
24
18
18
24
18
19
19
24
15
22
17
20
22




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Gwilym Jenkins' @ jenkins.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 & 1 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ jenkins.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=265322&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]'Gwilym Jenkins' @ jenkins.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=265322&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=265322&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'Gwilym Jenkins' @ jenkins.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)
0.0177777777
0.0288888888
0.0399999.58999
0.0410.4810.521111111010.4811
0.051111111111.3111111
0.061212121212121212
0.071313131313131313
0.081313131313131313
0.0913.8313.921414141413.0814
0.11414141414141414
0.111414141414141414
0.121414141414141414
0.131515151515151515
0.141515151515151515
0.151515151515151515
0.161515151515151515
0.171616161616161616
0.181616161616161616
0.191616161616161616
0.21616161616161616
0.211616161616161616
0.221616161616161616
0.231616161616161616
0.2416.8817171717171717
0.251717171717171717
0.261717171717171717
0.271717171717171717
0.281717171717171717
0.291717171717171717
0.317.117.4181817.81717.617
0.311818181818181818
0.321818181818181818
0.331818181818181818
0.341818181818181818
0.351818181818181818
0.361818181818181818
0.371818181818181818
0.381818181818181818
0.391818181818181818
0.41818181818181818
0.411818181818181818
0.421818181818.12181818
0.431919191919191919
0.441919191919191919
0.451919191919191919
0.461919191919191919
0.471919191919191919
0.481919191919191919
0.491919191919191919
0.51919191919191919
0.511919191919191919
0.521919191919191919
0.5319.1119.64202019.581919.3620
0.542020202020202020
0.552020202020202020
0.562020202020202020
0.572020202020202020
0.582020202020202020
0.592020202020202020
0.62020202020202020
0.612020202020202020
0.622020202020202020
0.632020202020202020
0.642020202020202020
0.652020202020202020
0.662121212121212121
0.672121212121212121
0.682121212121212121
0.692121212121212121
0.72121212121212121
0.712121212121212121
0.722121212121212121
0.732121212121212121
0.742121212121212121
0.752121212121212121
0.762121212121212121
0.772222222222222222
0.782222222222222222
0.792222222222222222
0.82222222222222222
0.812222222222222222
0.822222222222222222
0.832222222222222222
0.842222222222222222
0.852323232323232323
0.862323232323232323
0.872323232323232323
0.882323232323232323
0.892323232323232323
0.92424242424242424
0.912424242424242424
0.922424242424242424
0.932424242424242424
0.942424242424242424
0.952424.62424242424.425
0.962525252525252525
0.972525.362525252525.6425
0.982626262626262626
0.992727.122727272727.8827

\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 & 7 & 7 & 7 & 7 & 7 & 7 & 7 \tabularnewline
0.02 & 8 & 8 & 8 & 8 & 8 & 8 & 8 & 8 \tabularnewline
0.03 & 9 & 9 & 9 & 9 & 9.58 & 9 & 9 & 9 \tabularnewline
0.04 & 10.48 & 10.52 & 11 & 11 & 11 & 10 & 10.48 & 11 \tabularnewline
0.05 & 11 & 11 & 11 & 11 & 11.3 & 11 & 11 & 11 \tabularnewline
0.06 & 12 & 12 & 12 & 12 & 12 & 12 & 12 & 12 \tabularnewline
0.07 & 13 & 13 & 13 & 13 & 13 & 13 & 13 & 13 \tabularnewline
0.08 & 13 & 13 & 13 & 13 & 13 & 13 & 13 & 13 \tabularnewline
0.09 & 13.83 & 13.92 & 14 & 14 & 14 & 14 & 13.08 & 14 \tabularnewline
0.1 & 14 & 14 & 14 & 14 & 14 & 14 & 14 & 14 \tabularnewline
0.11 & 14 & 14 & 14 & 14 & 14 & 14 & 14 & 14 \tabularnewline
0.12 & 14 & 14 & 14 & 14 & 14 & 14 & 14 & 14 \tabularnewline
0.13 & 15 & 15 & 15 & 15 & 15 & 15 & 15 & 15 \tabularnewline
0.14 & 15 & 15 & 15 & 15 & 15 & 15 & 15 & 15 \tabularnewline
0.15 & 15 & 15 & 15 & 15 & 15 & 15 & 15 & 15 \tabularnewline
0.16 & 15 & 15 & 15 & 15 & 15 & 15 & 15 & 15 \tabularnewline
0.17 & 16 & 16 & 16 & 16 & 16 & 16 & 16 & 16 \tabularnewline
0.18 & 16 & 16 & 16 & 16 & 16 & 16 & 16 & 16 \tabularnewline
0.19 & 16 & 16 & 16 & 16 & 16 & 16 & 16 & 16 \tabularnewline
0.2 & 16 & 16 & 16 & 16 & 16 & 16 & 16 & 16 \tabularnewline
0.21 & 16 & 16 & 16 & 16 & 16 & 16 & 16 & 16 \tabularnewline
0.22 & 16 & 16 & 16 & 16 & 16 & 16 & 16 & 16 \tabularnewline
0.23 & 16 & 16 & 16 & 16 & 16 & 16 & 16 & 16 \tabularnewline
0.24 & 16.88 & 17 & 17 & 17 & 17 & 17 & 17 & 17 \tabularnewline
0.25 & 17 & 17 & 17 & 17 & 17 & 17 & 17 & 17 \tabularnewline
0.26 & 17 & 17 & 17 & 17 & 17 & 17 & 17 & 17 \tabularnewline
0.27 & 17 & 17 & 17 & 17 & 17 & 17 & 17 & 17 \tabularnewline
0.28 & 17 & 17 & 17 & 17 & 17 & 17 & 17 & 17 \tabularnewline
0.29 & 17 & 17 & 17 & 17 & 17 & 17 & 17 & 17 \tabularnewline
0.3 & 17.1 & 17.4 & 18 & 18 & 17.8 & 17 & 17.6 & 17 \tabularnewline
0.31 & 18 & 18 & 18 & 18 & 18 & 18 & 18 & 18 \tabularnewline
0.32 & 18 & 18 & 18 & 18 & 18 & 18 & 18 & 18 \tabularnewline
0.33 & 18 & 18 & 18 & 18 & 18 & 18 & 18 & 18 \tabularnewline
0.34 & 18 & 18 & 18 & 18 & 18 & 18 & 18 & 18 \tabularnewline
0.35 & 18 & 18 & 18 & 18 & 18 & 18 & 18 & 18 \tabularnewline
0.36 & 18 & 18 & 18 & 18 & 18 & 18 & 18 & 18 \tabularnewline
0.37 & 18 & 18 & 18 & 18 & 18 & 18 & 18 & 18 \tabularnewline
0.38 & 18 & 18 & 18 & 18 & 18 & 18 & 18 & 18 \tabularnewline
0.39 & 18 & 18 & 18 & 18 & 18 & 18 & 18 & 18 \tabularnewline
0.4 & 18 & 18 & 18 & 18 & 18 & 18 & 18 & 18 \tabularnewline
0.41 & 18 & 18 & 18 & 18 & 18 & 18 & 18 & 18 \tabularnewline
0.42 & 18 & 18 & 18 & 18 & 18.12 & 18 & 18 & 18 \tabularnewline
0.43 & 19 & 19 & 19 & 19 & 19 & 19 & 19 & 19 \tabularnewline
0.44 & 19 & 19 & 19 & 19 & 19 & 19 & 19 & 19 \tabularnewline
0.45 & 19 & 19 & 19 & 19 & 19 & 19 & 19 & 19 \tabularnewline
0.46 & 19 & 19 & 19 & 19 & 19 & 19 & 19 & 19 \tabularnewline
0.47 & 19 & 19 & 19 & 19 & 19 & 19 & 19 & 19 \tabularnewline
0.48 & 19 & 19 & 19 & 19 & 19 & 19 & 19 & 19 \tabularnewline
0.49 & 19 & 19 & 19 & 19 & 19 & 19 & 19 & 19 \tabularnewline
0.5 & 19 & 19 & 19 & 19 & 19 & 19 & 19 & 19 \tabularnewline
0.51 & 19 & 19 & 19 & 19 & 19 & 19 & 19 & 19 \tabularnewline
0.52 & 19 & 19 & 19 & 19 & 19 & 19 & 19 & 19 \tabularnewline
0.53 & 19.11 & 19.64 & 20 & 20 & 19.58 & 19 & 19.36 & 20 \tabularnewline
0.54 & 20 & 20 & 20 & 20 & 20 & 20 & 20 & 20 \tabularnewline
0.55 & 20 & 20 & 20 & 20 & 20 & 20 & 20 & 20 \tabularnewline
0.56 & 20 & 20 & 20 & 20 & 20 & 20 & 20 & 20 \tabularnewline
0.57 & 20 & 20 & 20 & 20 & 20 & 20 & 20 & 20 \tabularnewline
0.58 & 20 & 20 & 20 & 20 & 20 & 20 & 20 & 20 \tabularnewline
0.59 & 20 & 20 & 20 & 20 & 20 & 20 & 20 & 20 \tabularnewline
0.6 & 20 & 20 & 20 & 20 & 20 & 20 & 20 & 20 \tabularnewline
0.61 & 20 & 20 & 20 & 20 & 20 & 20 & 20 & 20 \tabularnewline
0.62 & 20 & 20 & 20 & 20 & 20 & 20 & 20 & 20 \tabularnewline
0.63 & 20 & 20 & 20 & 20 & 20 & 20 & 20 & 20 \tabularnewline
0.64 & 20 & 20 & 20 & 20 & 20 & 20 & 20 & 20 \tabularnewline
0.65 & 20 & 20 & 20 & 20 & 20 & 20 & 20 & 20 \tabularnewline
0.66 & 21 & 21 & 21 & 21 & 21 & 21 & 21 & 21 \tabularnewline
0.67 & 21 & 21 & 21 & 21 & 21 & 21 & 21 & 21 \tabularnewline
0.68 & 21 & 21 & 21 & 21 & 21 & 21 & 21 & 21 \tabularnewline
0.69 & 21 & 21 & 21 & 21 & 21 & 21 & 21 & 21 \tabularnewline
0.7 & 21 & 21 & 21 & 21 & 21 & 21 & 21 & 21 \tabularnewline
0.71 & 21 & 21 & 21 & 21 & 21 & 21 & 21 & 21 \tabularnewline
0.72 & 21 & 21 & 21 & 21 & 21 & 21 & 21 & 21 \tabularnewline
0.73 & 21 & 21 & 21 & 21 & 21 & 21 & 21 & 21 \tabularnewline
0.74 & 21 & 21 & 21 & 21 & 21 & 21 & 21 & 21 \tabularnewline
0.75 & 21 & 21 & 21 & 21 & 21 & 21 & 21 & 21 \tabularnewline
0.76 & 21 & 21 & 21 & 21 & 21 & 21 & 21 & 21 \tabularnewline
0.77 & 22 & 22 & 22 & 22 & 22 & 22 & 22 & 22 \tabularnewline
0.78 & 22 & 22 & 22 & 22 & 22 & 22 & 22 & 22 \tabularnewline
0.79 & 22 & 22 & 22 & 22 & 22 & 22 & 22 & 22 \tabularnewline
0.8 & 22 & 22 & 22 & 22 & 22 & 22 & 22 & 22 \tabularnewline
0.81 & 22 & 22 & 22 & 22 & 22 & 22 & 22 & 22 \tabularnewline
0.82 & 22 & 22 & 22 & 22 & 22 & 22 & 22 & 22 \tabularnewline
0.83 & 22 & 22 & 22 & 22 & 22 & 22 & 22 & 22 \tabularnewline
0.84 & 22 & 22 & 22 & 22 & 22 & 22 & 22 & 22 \tabularnewline
0.85 & 23 & 23 & 23 & 23 & 23 & 23 & 23 & 23 \tabularnewline
0.86 & 23 & 23 & 23 & 23 & 23 & 23 & 23 & 23 \tabularnewline
0.87 & 23 & 23 & 23 & 23 & 23 & 23 & 23 & 23 \tabularnewline
0.88 & 23 & 23 & 23 & 23 & 23 & 23 & 23 & 23 \tabularnewline
0.89 & 23 & 23 & 23 & 23 & 23 & 23 & 23 & 23 \tabularnewline
0.9 & 24 & 24 & 24 & 24 & 24 & 24 & 24 & 24 \tabularnewline
0.91 & 24 & 24 & 24 & 24 & 24 & 24 & 24 & 24 \tabularnewline
0.92 & 24 & 24 & 24 & 24 & 24 & 24 & 24 & 24 \tabularnewline
0.93 & 24 & 24 & 24 & 24 & 24 & 24 & 24 & 24 \tabularnewline
0.94 & 24 & 24 & 24 & 24 & 24 & 24 & 24 & 24 \tabularnewline
0.95 & 24 & 24.6 & 24 & 24 & 24 & 24 & 24.4 & 25 \tabularnewline
0.96 & 25 & 25 & 25 & 25 & 25 & 25 & 25 & 25 \tabularnewline
0.97 & 25 & 25.36 & 25 & 25 & 25 & 25 & 25.64 & 25 \tabularnewline
0.98 & 26 & 26 & 26 & 26 & 26 & 26 & 26 & 26 \tabularnewline
0.99 & 27 & 27.12 & 27 & 27 & 27 & 27 & 27.88 & 27 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=265322&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[/C][C]7[/C][C]7[/C][C]7[/C][C]7[/C][C]7[/C][C]7[/C][C]7[/C][/ROW]
[ROW][C]0.02[/C][C]8[/C][C]8[/C][C]8[/C][C]8[/C][C]8[/C][C]8[/C][C]8[/C][C]8[/C][/ROW]
[ROW][C]0.03[/C][C]9[/C][C]9[/C][C]9[/C][C]9[/C][C]9.58[/C][C]9[/C][C]9[/C][C]9[/C][/ROW]
[ROW][C]0.04[/C][C]10.48[/C][C]10.52[/C][C]11[/C][C]11[/C][C]11[/C][C]10[/C][C]10.48[/C][C]11[/C][/ROW]
[ROW][C]0.05[/C][C]11[/C][C]11[/C][C]11[/C][C]11[/C][C]11.3[/C][C]11[/C][C]11[/C][C]11[/C][/ROW]
[ROW][C]0.06[/C][C]12[/C][C]12[/C][C]12[/C][C]12[/C][C]12[/C][C]12[/C][C]12[/C][C]12[/C][/ROW]
[ROW][C]0.07[/C][C]13[/C][C]13[/C][C]13[/C][C]13[/C][C]13[/C][C]13[/C][C]13[/C][C]13[/C][/ROW]
[ROW][C]0.08[/C][C]13[/C][C]13[/C][C]13[/C][C]13[/C][C]13[/C][C]13[/C][C]13[/C][C]13[/C][/ROW]
[ROW][C]0.09[/C][C]13.83[/C][C]13.92[/C][C]14[/C][C]14[/C][C]14[/C][C]14[/C][C]13.08[/C][C]14[/C][/ROW]
[ROW][C]0.1[/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]0.11[/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]0.12[/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]0.13[/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]0.14[/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]0.15[/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]0.16[/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]0.17[/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]0.18[/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]0.19[/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]0.2[/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]0.21[/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]0.22[/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]0.23[/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]0.24[/C][C]16.88[/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]0.25[/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]0.26[/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]0.27[/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]0.28[/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]0.29[/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]0.3[/C][C]17.1[/C][C]17.4[/C][C]18[/C][C]18[/C][C]17.8[/C][C]17[/C][C]17.6[/C][C]17[/C][/ROW]
[ROW][C]0.31[/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]0.32[/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]0.33[/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]0.34[/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]0.35[/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]0.36[/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]0.37[/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]0.38[/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]0.39[/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]0.4[/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]0.41[/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]0.42[/C][C]18[/C][C]18[/C][C]18[/C][C]18[/C][C]18.12[/C][C]18[/C][C]18[/C][C]18[/C][/ROW]
[ROW][C]0.43[/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]0.44[/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]0.45[/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]0.46[/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]0.47[/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]0.48[/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]0.49[/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]0.5[/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]0.51[/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]0.52[/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]0.53[/C][C]19.11[/C][C]19.64[/C][C]20[/C][C]20[/C][C]19.58[/C][C]19[/C][C]19.36[/C][C]20[/C][/ROW]
[ROW][C]0.54[/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]0.55[/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]0.56[/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]0.57[/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]0.58[/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]0.59[/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]0.6[/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]0.61[/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]0.62[/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]0.63[/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]0.64[/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]0.65[/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]0.66[/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]0.67[/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]0.68[/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]0.69[/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]0.7[/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]0.71[/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]0.72[/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]0.73[/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]0.74[/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]0.75[/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]0.76[/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]0.77[/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]0.78[/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]0.79[/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]0.8[/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]0.81[/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]0.82[/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]0.83[/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]0.84[/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]0.85[/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]0.86[/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]0.87[/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]0.88[/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]0.89[/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]0.9[/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]0.91[/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]0.92[/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]0.93[/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]0.94[/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]0.95[/C][C]24[/C][C]24.6[/C][C]24[/C][C]24[/C][C]24[/C][C]24[/C][C]24.4[/C][C]25[/C][/ROW]
[ROW][C]0.96[/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]0.97[/C][C]25[/C][C]25.36[/C][C]25[/C][C]25[/C][C]25[/C][C]25[/C][C]25.64[/C][C]25[/C][/ROW]
[ROW][C]0.98[/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]0.99[/C][C]27[/C][C]27.12[/C][C]27[/C][C]27[/C][C]27[/C][C]27[/C][C]27.88[/C][C]27[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=265322&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=265322&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)
0.0177777777
0.0288888888
0.0399999.58999
0.0410.4810.521111111010.4811
0.051111111111.3111111
0.061212121212121212
0.071313131313131313
0.081313131313131313
0.0913.8313.921414141413.0814
0.11414141414141414
0.111414141414141414
0.121414141414141414
0.131515151515151515
0.141515151515151515
0.151515151515151515
0.161515151515151515
0.171616161616161616
0.181616161616161616
0.191616161616161616
0.21616161616161616
0.211616161616161616
0.221616161616161616
0.231616161616161616
0.2416.8817171717171717
0.251717171717171717
0.261717171717171717
0.271717171717171717
0.281717171717171717
0.291717171717171717
0.317.117.4181817.81717.617
0.311818181818181818
0.321818181818181818
0.331818181818181818
0.341818181818181818
0.351818181818181818
0.361818181818181818
0.371818181818181818
0.381818181818181818
0.391818181818181818
0.41818181818181818
0.411818181818181818
0.421818181818.12181818
0.431919191919191919
0.441919191919191919
0.451919191919191919
0.461919191919191919
0.471919191919191919
0.481919191919191919
0.491919191919191919
0.51919191919191919
0.511919191919191919
0.521919191919191919
0.5319.1119.64202019.581919.3620
0.542020202020202020
0.552020202020202020
0.562020202020202020
0.572020202020202020
0.582020202020202020
0.592020202020202020
0.62020202020202020
0.612020202020202020
0.622020202020202020
0.632020202020202020
0.642020202020202020
0.652020202020202020
0.662121212121212121
0.672121212121212121
0.682121212121212121
0.692121212121212121
0.72121212121212121
0.712121212121212121
0.722121212121212121
0.732121212121212121
0.742121212121212121
0.752121212121212121
0.762121212121212121
0.772222222222222222
0.782222222222222222
0.792222222222222222
0.82222222222222222
0.812222222222222222
0.822222222222222222
0.832222222222222222
0.842222222222222222
0.852323232323232323
0.862323232323232323
0.872323232323232323
0.882323232323232323
0.892323232323232323
0.92424242424242424
0.912424242424242424
0.922424242424242424
0.932424242424242424
0.942424242424242424
0.952424.62424242424.425
0.962525252525252525
0.972525.362525252525.6425
0.982626262626262626
0.992727.122727272727.8827



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')