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Author*The author of this computation has been verified*
R Software Modulerwasp_percentiles.wasp
Title produced by softwarePercentiles
Date of computationTue, 16 Dec 2014 14:36:30 +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/16/t1418740599aqriwqc9gijja0w.htm/, Retrieved Thu, 31 Oct 2024 22:50:23 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=269633, Retrieved Thu, 31 Oct 2024 22:50:23 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact92
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Percentiles] [qq plot] [2014-12-16 14:36:30] [ec1b40d1a9751af99658fe8fca4f9eca] [Current]
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Dataseries X:
4.3
4.9
5.6
5.7
5.9
6.3
6.4
6.4
6.4
6.7
6.7
7.3
7.4
7.6
7.7
7.7
7.9
7.9
8
8.2
8.3
8.3
8.5
8.6
8.8
8.8
9
9
9.1
9.2
9.3
9.3
9.3
9.6
9.6
9.6
9.7
9.9
9.9
9.9
10
10.1
10.3
10.3
10.3
10.4
10.5
10.6
10.7
10.8
10.8
10.8
10.9
10.9
10.9
11.1
11.1
11.1
11.2
11.3
11.3
11.4
11.4
11.4
11.4
11.4
11.5
11.6
11.6
11.7
11.7
11.8
11.8
11.8
11.9
12
12.1
12.2
12.2
12.3
12.3
12.3
12.5
12.6
12.6
12.6
12.6
12.7
12.7
12.8
12.9
13
13
13
13.2
13.2
13.3
13.3
13.3
13.4
13.4
13.5
13.6
13.8
13.8
14.2
14.3
14.5
14.6
14.8
15.9
16.1




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Sir Ronald Aylmer Fisher' @ fisher.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 & 'Sir Ronald Aylmer Fisher' @ fisher.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=269633&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]'Sir Ronald Aylmer Fisher' @ fisher.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=269633&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=269633&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'Sir Ronald Aylmer Fisher' @ fisher.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)
0.014.3724.3784.94.94.9774.34.8224.3
0.025.0685.0825.65.65.6224.95.4184.9
0.035.6365.6395.75.75.7665.65.6615.6
0.045.7965.8045.95.96.0765.75.7965.9
0.056.146.166.36.36.3556.36.046.3
0.066.3726.3786.46.46.46.46.3226.4
0.076.46.46.46.46.46.46.46.4
0.086.46.4126.46.46.6646.46.6886.4
0.096.76.76.76.76.76.76.76.7
0.16.826.887.37.37.316.77.126.7
0.117.3327.3437.47.47.4427.37.3577.3
0.127.4887.5127.67.67.6327.47.4887.6
0.137.6567.6697.77.77.77.77.6317.7
0.147.77.77.77.77.8087.77.77.7
0.157.867.897.97.97.97.97.717.9
0.167.97.9087.97.97.9767.97.9927.9
0.178.0088.0428.28.28.17488.1588
0.188.2168.2348.38.38.2988.28.2668.2
0.198.38.38.38.38.3188.38.38.3
0.28.388.428.58.58.528.38.388.5
0.218.5528.5738.68.68.6628.68.5278.6
0.228.7288.7728.88.88.88.88.6288.8
0.238.88.88.88.88.9068.88.88.8
0.248.9769999999
0.2599.02599.059.07599.0759
0.269.1129.1389.29.29.1869.19.1629.1
0.279.2249.2519.39.39.2979.29.2499.3
0.289.39.39.39.39.39.39.39.3
0.299.39.39.39.39.3579.39.39.3
0.39.489.579.69.69.69.69.339.6
0.319.69.69.69.69.69.69.69.6
0.329.69.6169.69.69.6529.69.6849.6
0.339.6969.7589.79.79.8269.79.8429.7
0.349.99.99.99.99.99.99.99.9
0.359.99.99.99.99.99.99.99.9
0.369.9329.96810109.9969.99.93210
0.3710.04410.08110.110.110.1141010.01910.1
0.3810.21210.28810.310.310.310.310.11210.3
0.3910.310.310.310.310.310.310.310.3
0.410.310.3210.310.310.3410.310.3810.3
0.4110.39210.43310.410.410.45110.410.46710.4
0.4210.50410.54610.610.610.56210.510.55410.5
0.4310.61610.65910.710.710.67310.610.64110.7
0.4410.72810.77210.810.810.78410.710.72810.8
0.4510.810.810.810.810.810.810.810.8
0.4610.810.810.810.810.80610.810.810.8
0.4710.86410.910.910.910.910.910.910.9
0.4810.910.910.910.910.910.910.910.9
0.4910.910.97410.910.910.97810.911.02610.9
0.511.111.111.111.111.111.111.111.1
0.5111.111.111.111.111.111.111.111.1
0.5211.12411.17611.211.211.17211.111.12411.2
0.5311.23611.28911.311.311.28311.211.21111.3
0.5411.311.30211.311.311.311.311.39811.3
0.5511.3611.411.411.411.411.411.411.4
0.5611.411.411.411.411.411.411.411.4
0.5711.411.411.411.411.411.411.411.4
0.5811.411.411.411.411.411.411.411.4
0.5911.40811.46711.511.511.44911.411.43311.5
0.611.5211.5811.611.611.5611.511.5211.6
0.6111.611.611.611.611.611.611.611.6
0.6211.64411.711.711.711.68211.611.711.7
0.6311.711.71911.711.711.711.711.78111.7
0.6411.76811.811.811.811.811.811.811.8
0.6511.811.811.811.811.811.811.811.8
0.6611.811.85811.811.811.82611.811.84211.9
0.6711.90411.971121211.93711.911.92912
0.6812.01612.08412.112.112.0481212.01612.1
0.6912.12812.19712.212.212.15912.112.10312.2
0.712.212.2112.212.212.212.212.2912.2
0.7112.25212.312.312.312.28112.312.312.3
0.7212.312.312.312.312.312.312.312.3
0.7312.312.39812.312.312.30612.312.40212.3
0.7412.47612.56212.512.512.51412.512.53812.6
0.7512.612.612.612.612.612.612.612.6
0.7612.612.612.612.612.612.612.612.6
0.7712.612.60112.612.612.612.612.69912.6
0.7812.63612.712.712.712.65812.612.712.7
0.7912.712.72712.712.712.712.712.77312.7
0.812.7612.8412.812.812.7812.812.8612.8
0.8112.87212.95312.912.912.89112.912.94713
0.8212.98413131313131313
0.831313131313131313
0.8413.01613.18413.213.213.0481313.01613.2
0.8513.213.20513.213.213.213.213.29513.2
0.8613.23213.313.313.313.24613.213.313.3
0.8713.313.313.313.313.313.313.313.3
0.8813.313.34413.313.313.313.313.35613.3
0.8913.36813.413.413.413.37913.413.413.4
0.913.413.4713.413.413.413.413.4313.5
0.9113.49213.58313.513.513.50113.513.51713.6
0.9213.60813.79213.813.813.62413.613.60813.8
0.9313.813.83613.813.813.813.814.16413.8
0.9413.91214.22214.214.213.93613.814.27814.2
0.9514.2414.3714.314.314.24514.214.4314.3
0.9614.40414.54814.514.514.41214.514.55214.5
0.9714.56414.72214.614.614.56714.614.67814.8
0.9814.75215.61414.814.814.75614.815.08615.9
0.9915.76816.07415.915.915.77915.915.92616.1

\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 & 4.372 & 4.378 & 4.9 & 4.9 & 4.977 & 4.3 & 4.822 & 4.3 \tabularnewline
0.02 & 5.068 & 5.082 & 5.6 & 5.6 & 5.622 & 4.9 & 5.418 & 4.9 \tabularnewline
0.03 & 5.636 & 5.639 & 5.7 & 5.7 & 5.766 & 5.6 & 5.661 & 5.6 \tabularnewline
0.04 & 5.796 & 5.804 & 5.9 & 5.9 & 6.076 & 5.7 & 5.796 & 5.9 \tabularnewline
0.05 & 6.14 & 6.16 & 6.3 & 6.3 & 6.355 & 6.3 & 6.04 & 6.3 \tabularnewline
0.06 & 6.372 & 6.378 & 6.4 & 6.4 & 6.4 & 6.4 & 6.322 & 6.4 \tabularnewline
0.07 & 6.4 & 6.4 & 6.4 & 6.4 & 6.4 & 6.4 & 6.4 & 6.4 \tabularnewline
0.08 & 6.4 & 6.412 & 6.4 & 6.4 & 6.664 & 6.4 & 6.688 & 6.4 \tabularnewline
0.09 & 6.7 & 6.7 & 6.7 & 6.7 & 6.7 & 6.7 & 6.7 & 6.7 \tabularnewline
0.1 & 6.82 & 6.88 & 7.3 & 7.3 & 7.31 & 6.7 & 7.12 & 6.7 \tabularnewline
0.11 & 7.332 & 7.343 & 7.4 & 7.4 & 7.442 & 7.3 & 7.357 & 7.3 \tabularnewline
0.12 & 7.488 & 7.512 & 7.6 & 7.6 & 7.632 & 7.4 & 7.488 & 7.6 \tabularnewline
0.13 & 7.656 & 7.669 & 7.7 & 7.7 & 7.7 & 7.7 & 7.631 & 7.7 \tabularnewline
0.14 & 7.7 & 7.7 & 7.7 & 7.7 & 7.808 & 7.7 & 7.7 & 7.7 \tabularnewline
0.15 & 7.86 & 7.89 & 7.9 & 7.9 & 7.9 & 7.9 & 7.71 & 7.9 \tabularnewline
0.16 & 7.9 & 7.908 & 7.9 & 7.9 & 7.976 & 7.9 & 7.992 & 7.9 \tabularnewline
0.17 & 8.008 & 8.042 & 8.2 & 8.2 & 8.174 & 8 & 8.158 & 8 \tabularnewline
0.18 & 8.216 & 8.234 & 8.3 & 8.3 & 8.298 & 8.2 & 8.266 & 8.2 \tabularnewline
0.19 & 8.3 & 8.3 & 8.3 & 8.3 & 8.318 & 8.3 & 8.3 & 8.3 \tabularnewline
0.2 & 8.38 & 8.42 & 8.5 & 8.5 & 8.52 & 8.3 & 8.38 & 8.5 \tabularnewline
0.21 & 8.552 & 8.573 & 8.6 & 8.6 & 8.662 & 8.6 & 8.527 & 8.6 \tabularnewline
0.22 & 8.728 & 8.772 & 8.8 & 8.8 & 8.8 & 8.8 & 8.628 & 8.8 \tabularnewline
0.23 & 8.8 & 8.8 & 8.8 & 8.8 & 8.906 & 8.8 & 8.8 & 8.8 \tabularnewline
0.24 & 8.976 & 9 & 9 & 9 & 9 & 9 & 9 & 9 \tabularnewline
0.25 & 9 & 9.025 & 9 & 9.05 & 9.075 & 9 & 9.075 & 9 \tabularnewline
0.26 & 9.112 & 9.138 & 9.2 & 9.2 & 9.186 & 9.1 & 9.162 & 9.1 \tabularnewline
0.27 & 9.224 & 9.251 & 9.3 & 9.3 & 9.297 & 9.2 & 9.249 & 9.3 \tabularnewline
0.28 & 9.3 & 9.3 & 9.3 & 9.3 & 9.3 & 9.3 & 9.3 & 9.3 \tabularnewline
0.29 & 9.3 & 9.3 & 9.3 & 9.3 & 9.357 & 9.3 & 9.3 & 9.3 \tabularnewline
0.3 & 9.48 & 9.57 & 9.6 & 9.6 & 9.6 & 9.6 & 9.33 & 9.6 \tabularnewline
0.31 & 9.6 & 9.6 & 9.6 & 9.6 & 9.6 & 9.6 & 9.6 & 9.6 \tabularnewline
0.32 & 9.6 & 9.616 & 9.6 & 9.6 & 9.652 & 9.6 & 9.684 & 9.6 \tabularnewline
0.33 & 9.696 & 9.758 & 9.7 & 9.7 & 9.826 & 9.7 & 9.842 & 9.7 \tabularnewline
0.34 & 9.9 & 9.9 & 9.9 & 9.9 & 9.9 & 9.9 & 9.9 & 9.9 \tabularnewline
0.35 & 9.9 & 9.9 & 9.9 & 9.9 & 9.9 & 9.9 & 9.9 & 9.9 \tabularnewline
0.36 & 9.932 & 9.968 & 10 & 10 & 9.996 & 9.9 & 9.932 & 10 \tabularnewline
0.37 & 10.044 & 10.081 & 10.1 & 10.1 & 10.114 & 10 & 10.019 & 10.1 \tabularnewline
0.38 & 10.212 & 10.288 & 10.3 & 10.3 & 10.3 & 10.3 & 10.112 & 10.3 \tabularnewline
0.39 & 10.3 & 10.3 & 10.3 & 10.3 & 10.3 & 10.3 & 10.3 & 10.3 \tabularnewline
0.4 & 10.3 & 10.32 & 10.3 & 10.3 & 10.34 & 10.3 & 10.38 & 10.3 \tabularnewline
0.41 & 10.392 & 10.433 & 10.4 & 10.4 & 10.451 & 10.4 & 10.467 & 10.4 \tabularnewline
0.42 & 10.504 & 10.546 & 10.6 & 10.6 & 10.562 & 10.5 & 10.554 & 10.5 \tabularnewline
0.43 & 10.616 & 10.659 & 10.7 & 10.7 & 10.673 & 10.6 & 10.641 & 10.7 \tabularnewline
0.44 & 10.728 & 10.772 & 10.8 & 10.8 & 10.784 & 10.7 & 10.728 & 10.8 \tabularnewline
0.45 & 10.8 & 10.8 & 10.8 & 10.8 & 10.8 & 10.8 & 10.8 & 10.8 \tabularnewline
0.46 & 10.8 & 10.8 & 10.8 & 10.8 & 10.806 & 10.8 & 10.8 & 10.8 \tabularnewline
0.47 & 10.864 & 10.9 & 10.9 & 10.9 & 10.9 & 10.9 & 10.9 & 10.9 \tabularnewline
0.48 & 10.9 & 10.9 & 10.9 & 10.9 & 10.9 & 10.9 & 10.9 & 10.9 \tabularnewline
0.49 & 10.9 & 10.974 & 10.9 & 10.9 & 10.978 & 10.9 & 11.026 & 10.9 \tabularnewline
0.5 & 11.1 & 11.1 & 11.1 & 11.1 & 11.1 & 11.1 & 11.1 & 11.1 \tabularnewline
0.51 & 11.1 & 11.1 & 11.1 & 11.1 & 11.1 & 11.1 & 11.1 & 11.1 \tabularnewline
0.52 & 11.124 & 11.176 & 11.2 & 11.2 & 11.172 & 11.1 & 11.124 & 11.2 \tabularnewline
0.53 & 11.236 & 11.289 & 11.3 & 11.3 & 11.283 & 11.2 & 11.211 & 11.3 \tabularnewline
0.54 & 11.3 & 11.302 & 11.3 & 11.3 & 11.3 & 11.3 & 11.398 & 11.3 \tabularnewline
0.55 & 11.36 & 11.4 & 11.4 & 11.4 & 11.4 & 11.4 & 11.4 & 11.4 \tabularnewline
0.56 & 11.4 & 11.4 & 11.4 & 11.4 & 11.4 & 11.4 & 11.4 & 11.4 \tabularnewline
0.57 & 11.4 & 11.4 & 11.4 & 11.4 & 11.4 & 11.4 & 11.4 & 11.4 \tabularnewline
0.58 & 11.4 & 11.4 & 11.4 & 11.4 & 11.4 & 11.4 & 11.4 & 11.4 \tabularnewline
0.59 & 11.408 & 11.467 & 11.5 & 11.5 & 11.449 & 11.4 & 11.433 & 11.5 \tabularnewline
0.6 & 11.52 & 11.58 & 11.6 & 11.6 & 11.56 & 11.5 & 11.52 & 11.6 \tabularnewline
0.61 & 11.6 & 11.6 & 11.6 & 11.6 & 11.6 & 11.6 & 11.6 & 11.6 \tabularnewline
0.62 & 11.644 & 11.7 & 11.7 & 11.7 & 11.682 & 11.6 & 11.7 & 11.7 \tabularnewline
0.63 & 11.7 & 11.719 & 11.7 & 11.7 & 11.7 & 11.7 & 11.781 & 11.7 \tabularnewline
0.64 & 11.768 & 11.8 & 11.8 & 11.8 & 11.8 & 11.8 & 11.8 & 11.8 \tabularnewline
0.65 & 11.8 & 11.8 & 11.8 & 11.8 & 11.8 & 11.8 & 11.8 & 11.8 \tabularnewline
0.66 & 11.8 & 11.858 & 11.8 & 11.8 & 11.826 & 11.8 & 11.842 & 11.9 \tabularnewline
0.67 & 11.904 & 11.971 & 12 & 12 & 11.937 & 11.9 & 11.929 & 12 \tabularnewline
0.68 & 12.016 & 12.084 & 12.1 & 12.1 & 12.048 & 12 & 12.016 & 12.1 \tabularnewline
0.69 & 12.128 & 12.197 & 12.2 & 12.2 & 12.159 & 12.1 & 12.103 & 12.2 \tabularnewline
0.7 & 12.2 & 12.21 & 12.2 & 12.2 & 12.2 & 12.2 & 12.29 & 12.2 \tabularnewline
0.71 & 12.252 & 12.3 & 12.3 & 12.3 & 12.281 & 12.3 & 12.3 & 12.3 \tabularnewline
0.72 & 12.3 & 12.3 & 12.3 & 12.3 & 12.3 & 12.3 & 12.3 & 12.3 \tabularnewline
0.73 & 12.3 & 12.398 & 12.3 & 12.3 & 12.306 & 12.3 & 12.402 & 12.3 \tabularnewline
0.74 & 12.476 & 12.562 & 12.5 & 12.5 & 12.514 & 12.5 & 12.538 & 12.6 \tabularnewline
0.75 & 12.6 & 12.6 & 12.6 & 12.6 & 12.6 & 12.6 & 12.6 & 12.6 \tabularnewline
0.76 & 12.6 & 12.6 & 12.6 & 12.6 & 12.6 & 12.6 & 12.6 & 12.6 \tabularnewline
0.77 & 12.6 & 12.601 & 12.6 & 12.6 & 12.6 & 12.6 & 12.699 & 12.6 \tabularnewline
0.78 & 12.636 & 12.7 & 12.7 & 12.7 & 12.658 & 12.6 & 12.7 & 12.7 \tabularnewline
0.79 & 12.7 & 12.727 & 12.7 & 12.7 & 12.7 & 12.7 & 12.773 & 12.7 \tabularnewline
0.8 & 12.76 & 12.84 & 12.8 & 12.8 & 12.78 & 12.8 & 12.86 & 12.8 \tabularnewline
0.81 & 12.872 & 12.953 & 12.9 & 12.9 & 12.891 & 12.9 & 12.947 & 13 \tabularnewline
0.82 & 12.984 & 13 & 13 & 13 & 13 & 13 & 13 & 13 \tabularnewline
0.83 & 13 & 13 & 13 & 13 & 13 & 13 & 13 & 13 \tabularnewline
0.84 & 13.016 & 13.184 & 13.2 & 13.2 & 13.048 & 13 & 13.016 & 13.2 \tabularnewline
0.85 & 13.2 & 13.205 & 13.2 & 13.2 & 13.2 & 13.2 & 13.295 & 13.2 \tabularnewline
0.86 & 13.232 & 13.3 & 13.3 & 13.3 & 13.246 & 13.2 & 13.3 & 13.3 \tabularnewline
0.87 & 13.3 & 13.3 & 13.3 & 13.3 & 13.3 & 13.3 & 13.3 & 13.3 \tabularnewline
0.88 & 13.3 & 13.344 & 13.3 & 13.3 & 13.3 & 13.3 & 13.356 & 13.3 \tabularnewline
0.89 & 13.368 & 13.4 & 13.4 & 13.4 & 13.379 & 13.4 & 13.4 & 13.4 \tabularnewline
0.9 & 13.4 & 13.47 & 13.4 & 13.4 & 13.4 & 13.4 & 13.43 & 13.5 \tabularnewline
0.91 & 13.492 & 13.583 & 13.5 & 13.5 & 13.501 & 13.5 & 13.517 & 13.6 \tabularnewline
0.92 & 13.608 & 13.792 & 13.8 & 13.8 & 13.624 & 13.6 & 13.608 & 13.8 \tabularnewline
0.93 & 13.8 & 13.836 & 13.8 & 13.8 & 13.8 & 13.8 & 14.164 & 13.8 \tabularnewline
0.94 & 13.912 & 14.222 & 14.2 & 14.2 & 13.936 & 13.8 & 14.278 & 14.2 \tabularnewline
0.95 & 14.24 & 14.37 & 14.3 & 14.3 & 14.245 & 14.2 & 14.43 & 14.3 \tabularnewline
0.96 & 14.404 & 14.548 & 14.5 & 14.5 & 14.412 & 14.5 & 14.552 & 14.5 \tabularnewline
0.97 & 14.564 & 14.722 & 14.6 & 14.6 & 14.567 & 14.6 & 14.678 & 14.8 \tabularnewline
0.98 & 14.752 & 15.614 & 14.8 & 14.8 & 14.756 & 14.8 & 15.086 & 15.9 \tabularnewline
0.99 & 15.768 & 16.074 & 15.9 & 15.9 & 15.779 & 15.9 & 15.926 & 16.1 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=269633&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]4.372[/C][C]4.378[/C][C]4.9[/C][C]4.9[/C][C]4.977[/C][C]4.3[/C][C]4.822[/C][C]4.3[/C][/ROW]
[ROW][C]0.02[/C][C]5.068[/C][C]5.082[/C][C]5.6[/C][C]5.6[/C][C]5.622[/C][C]4.9[/C][C]5.418[/C][C]4.9[/C][/ROW]
[ROW][C]0.03[/C][C]5.636[/C][C]5.639[/C][C]5.7[/C][C]5.7[/C][C]5.766[/C][C]5.6[/C][C]5.661[/C][C]5.6[/C][/ROW]
[ROW][C]0.04[/C][C]5.796[/C][C]5.804[/C][C]5.9[/C][C]5.9[/C][C]6.076[/C][C]5.7[/C][C]5.796[/C][C]5.9[/C][/ROW]
[ROW][C]0.05[/C][C]6.14[/C][C]6.16[/C][C]6.3[/C][C]6.3[/C][C]6.355[/C][C]6.3[/C][C]6.04[/C][C]6.3[/C][/ROW]
[ROW][C]0.06[/C][C]6.372[/C][C]6.378[/C][C]6.4[/C][C]6.4[/C][C]6.4[/C][C]6.4[/C][C]6.322[/C][C]6.4[/C][/ROW]
[ROW][C]0.07[/C][C]6.4[/C][C]6.4[/C][C]6.4[/C][C]6.4[/C][C]6.4[/C][C]6.4[/C][C]6.4[/C][C]6.4[/C][/ROW]
[ROW][C]0.08[/C][C]6.4[/C][C]6.412[/C][C]6.4[/C][C]6.4[/C][C]6.664[/C][C]6.4[/C][C]6.688[/C][C]6.4[/C][/ROW]
[ROW][C]0.09[/C][C]6.7[/C][C]6.7[/C][C]6.7[/C][C]6.7[/C][C]6.7[/C][C]6.7[/C][C]6.7[/C][C]6.7[/C][/ROW]
[ROW][C]0.1[/C][C]6.82[/C][C]6.88[/C][C]7.3[/C][C]7.3[/C][C]7.31[/C][C]6.7[/C][C]7.12[/C][C]6.7[/C][/ROW]
[ROW][C]0.11[/C][C]7.332[/C][C]7.343[/C][C]7.4[/C][C]7.4[/C][C]7.442[/C][C]7.3[/C][C]7.357[/C][C]7.3[/C][/ROW]
[ROW][C]0.12[/C][C]7.488[/C][C]7.512[/C][C]7.6[/C][C]7.6[/C][C]7.632[/C][C]7.4[/C][C]7.488[/C][C]7.6[/C][/ROW]
[ROW][C]0.13[/C][C]7.656[/C][C]7.669[/C][C]7.7[/C][C]7.7[/C][C]7.7[/C][C]7.7[/C][C]7.631[/C][C]7.7[/C][/ROW]
[ROW][C]0.14[/C][C]7.7[/C][C]7.7[/C][C]7.7[/C][C]7.7[/C][C]7.808[/C][C]7.7[/C][C]7.7[/C][C]7.7[/C][/ROW]
[ROW][C]0.15[/C][C]7.86[/C][C]7.89[/C][C]7.9[/C][C]7.9[/C][C]7.9[/C][C]7.9[/C][C]7.71[/C][C]7.9[/C][/ROW]
[ROW][C]0.16[/C][C]7.9[/C][C]7.908[/C][C]7.9[/C][C]7.9[/C][C]7.976[/C][C]7.9[/C][C]7.992[/C][C]7.9[/C][/ROW]
[ROW][C]0.17[/C][C]8.008[/C][C]8.042[/C][C]8.2[/C][C]8.2[/C][C]8.174[/C][C]8[/C][C]8.158[/C][C]8[/C][/ROW]
[ROW][C]0.18[/C][C]8.216[/C][C]8.234[/C][C]8.3[/C][C]8.3[/C][C]8.298[/C][C]8.2[/C][C]8.266[/C][C]8.2[/C][/ROW]
[ROW][C]0.19[/C][C]8.3[/C][C]8.3[/C][C]8.3[/C][C]8.3[/C][C]8.318[/C][C]8.3[/C][C]8.3[/C][C]8.3[/C][/ROW]
[ROW][C]0.2[/C][C]8.38[/C][C]8.42[/C][C]8.5[/C][C]8.5[/C][C]8.52[/C][C]8.3[/C][C]8.38[/C][C]8.5[/C][/ROW]
[ROW][C]0.21[/C][C]8.552[/C][C]8.573[/C][C]8.6[/C][C]8.6[/C][C]8.662[/C][C]8.6[/C][C]8.527[/C][C]8.6[/C][/ROW]
[ROW][C]0.22[/C][C]8.728[/C][C]8.772[/C][C]8.8[/C][C]8.8[/C][C]8.8[/C][C]8.8[/C][C]8.628[/C][C]8.8[/C][/ROW]
[ROW][C]0.23[/C][C]8.8[/C][C]8.8[/C][C]8.8[/C][C]8.8[/C][C]8.906[/C][C]8.8[/C][C]8.8[/C][C]8.8[/C][/ROW]
[ROW][C]0.24[/C][C]8.976[/C][C]9[/C][C]9[/C][C]9[/C][C]9[/C][C]9[/C][C]9[/C][C]9[/C][/ROW]
[ROW][C]0.25[/C][C]9[/C][C]9.025[/C][C]9[/C][C]9.05[/C][C]9.075[/C][C]9[/C][C]9.075[/C][C]9[/C][/ROW]
[ROW][C]0.26[/C][C]9.112[/C][C]9.138[/C][C]9.2[/C][C]9.2[/C][C]9.186[/C][C]9.1[/C][C]9.162[/C][C]9.1[/C][/ROW]
[ROW][C]0.27[/C][C]9.224[/C][C]9.251[/C][C]9.3[/C][C]9.3[/C][C]9.297[/C][C]9.2[/C][C]9.249[/C][C]9.3[/C][/ROW]
[ROW][C]0.28[/C][C]9.3[/C][C]9.3[/C][C]9.3[/C][C]9.3[/C][C]9.3[/C][C]9.3[/C][C]9.3[/C][C]9.3[/C][/ROW]
[ROW][C]0.29[/C][C]9.3[/C][C]9.3[/C][C]9.3[/C][C]9.3[/C][C]9.357[/C][C]9.3[/C][C]9.3[/C][C]9.3[/C][/ROW]
[ROW][C]0.3[/C][C]9.48[/C][C]9.57[/C][C]9.6[/C][C]9.6[/C][C]9.6[/C][C]9.6[/C][C]9.33[/C][C]9.6[/C][/ROW]
[ROW][C]0.31[/C][C]9.6[/C][C]9.6[/C][C]9.6[/C][C]9.6[/C][C]9.6[/C][C]9.6[/C][C]9.6[/C][C]9.6[/C][/ROW]
[ROW][C]0.32[/C][C]9.6[/C][C]9.616[/C][C]9.6[/C][C]9.6[/C][C]9.652[/C][C]9.6[/C][C]9.684[/C][C]9.6[/C][/ROW]
[ROW][C]0.33[/C][C]9.696[/C][C]9.758[/C][C]9.7[/C][C]9.7[/C][C]9.826[/C][C]9.7[/C][C]9.842[/C][C]9.7[/C][/ROW]
[ROW][C]0.34[/C][C]9.9[/C][C]9.9[/C][C]9.9[/C][C]9.9[/C][C]9.9[/C][C]9.9[/C][C]9.9[/C][C]9.9[/C][/ROW]
[ROW][C]0.35[/C][C]9.9[/C][C]9.9[/C][C]9.9[/C][C]9.9[/C][C]9.9[/C][C]9.9[/C][C]9.9[/C][C]9.9[/C][/ROW]
[ROW][C]0.36[/C][C]9.932[/C][C]9.968[/C][C]10[/C][C]10[/C][C]9.996[/C][C]9.9[/C][C]9.932[/C][C]10[/C][/ROW]
[ROW][C]0.37[/C][C]10.044[/C][C]10.081[/C][C]10.1[/C][C]10.1[/C][C]10.114[/C][C]10[/C][C]10.019[/C][C]10.1[/C][/ROW]
[ROW][C]0.38[/C][C]10.212[/C][C]10.288[/C][C]10.3[/C][C]10.3[/C][C]10.3[/C][C]10.3[/C][C]10.112[/C][C]10.3[/C][/ROW]
[ROW][C]0.39[/C][C]10.3[/C][C]10.3[/C][C]10.3[/C][C]10.3[/C][C]10.3[/C][C]10.3[/C][C]10.3[/C][C]10.3[/C][/ROW]
[ROW][C]0.4[/C][C]10.3[/C][C]10.32[/C][C]10.3[/C][C]10.3[/C][C]10.34[/C][C]10.3[/C][C]10.38[/C][C]10.3[/C][/ROW]
[ROW][C]0.41[/C][C]10.392[/C][C]10.433[/C][C]10.4[/C][C]10.4[/C][C]10.451[/C][C]10.4[/C][C]10.467[/C][C]10.4[/C][/ROW]
[ROW][C]0.42[/C][C]10.504[/C][C]10.546[/C][C]10.6[/C][C]10.6[/C][C]10.562[/C][C]10.5[/C][C]10.554[/C][C]10.5[/C][/ROW]
[ROW][C]0.43[/C][C]10.616[/C][C]10.659[/C][C]10.7[/C][C]10.7[/C][C]10.673[/C][C]10.6[/C][C]10.641[/C][C]10.7[/C][/ROW]
[ROW][C]0.44[/C][C]10.728[/C][C]10.772[/C][C]10.8[/C][C]10.8[/C][C]10.784[/C][C]10.7[/C][C]10.728[/C][C]10.8[/C][/ROW]
[ROW][C]0.45[/C][C]10.8[/C][C]10.8[/C][C]10.8[/C][C]10.8[/C][C]10.8[/C][C]10.8[/C][C]10.8[/C][C]10.8[/C][/ROW]
[ROW][C]0.46[/C][C]10.8[/C][C]10.8[/C][C]10.8[/C][C]10.8[/C][C]10.806[/C][C]10.8[/C][C]10.8[/C][C]10.8[/C][/ROW]
[ROW][C]0.47[/C][C]10.864[/C][C]10.9[/C][C]10.9[/C][C]10.9[/C][C]10.9[/C][C]10.9[/C][C]10.9[/C][C]10.9[/C][/ROW]
[ROW][C]0.48[/C][C]10.9[/C][C]10.9[/C][C]10.9[/C][C]10.9[/C][C]10.9[/C][C]10.9[/C][C]10.9[/C][C]10.9[/C][/ROW]
[ROW][C]0.49[/C][C]10.9[/C][C]10.974[/C][C]10.9[/C][C]10.9[/C][C]10.978[/C][C]10.9[/C][C]11.026[/C][C]10.9[/C][/ROW]
[ROW][C]0.5[/C][C]11.1[/C][C]11.1[/C][C]11.1[/C][C]11.1[/C][C]11.1[/C][C]11.1[/C][C]11.1[/C][C]11.1[/C][/ROW]
[ROW][C]0.51[/C][C]11.1[/C][C]11.1[/C][C]11.1[/C][C]11.1[/C][C]11.1[/C][C]11.1[/C][C]11.1[/C][C]11.1[/C][/ROW]
[ROW][C]0.52[/C][C]11.124[/C][C]11.176[/C][C]11.2[/C][C]11.2[/C][C]11.172[/C][C]11.1[/C][C]11.124[/C][C]11.2[/C][/ROW]
[ROW][C]0.53[/C][C]11.236[/C][C]11.289[/C][C]11.3[/C][C]11.3[/C][C]11.283[/C][C]11.2[/C][C]11.211[/C][C]11.3[/C][/ROW]
[ROW][C]0.54[/C][C]11.3[/C][C]11.302[/C][C]11.3[/C][C]11.3[/C][C]11.3[/C][C]11.3[/C][C]11.398[/C][C]11.3[/C][/ROW]
[ROW][C]0.55[/C][C]11.36[/C][C]11.4[/C][C]11.4[/C][C]11.4[/C][C]11.4[/C][C]11.4[/C][C]11.4[/C][C]11.4[/C][/ROW]
[ROW][C]0.56[/C][C]11.4[/C][C]11.4[/C][C]11.4[/C][C]11.4[/C][C]11.4[/C][C]11.4[/C][C]11.4[/C][C]11.4[/C][/ROW]
[ROW][C]0.57[/C][C]11.4[/C][C]11.4[/C][C]11.4[/C][C]11.4[/C][C]11.4[/C][C]11.4[/C][C]11.4[/C][C]11.4[/C][/ROW]
[ROW][C]0.58[/C][C]11.4[/C][C]11.4[/C][C]11.4[/C][C]11.4[/C][C]11.4[/C][C]11.4[/C][C]11.4[/C][C]11.4[/C][/ROW]
[ROW][C]0.59[/C][C]11.408[/C][C]11.467[/C][C]11.5[/C][C]11.5[/C][C]11.449[/C][C]11.4[/C][C]11.433[/C][C]11.5[/C][/ROW]
[ROW][C]0.6[/C][C]11.52[/C][C]11.58[/C][C]11.6[/C][C]11.6[/C][C]11.56[/C][C]11.5[/C][C]11.52[/C][C]11.6[/C][/ROW]
[ROW][C]0.61[/C][C]11.6[/C][C]11.6[/C][C]11.6[/C][C]11.6[/C][C]11.6[/C][C]11.6[/C][C]11.6[/C][C]11.6[/C][/ROW]
[ROW][C]0.62[/C][C]11.644[/C][C]11.7[/C][C]11.7[/C][C]11.7[/C][C]11.682[/C][C]11.6[/C][C]11.7[/C][C]11.7[/C][/ROW]
[ROW][C]0.63[/C][C]11.7[/C][C]11.719[/C][C]11.7[/C][C]11.7[/C][C]11.7[/C][C]11.7[/C][C]11.781[/C][C]11.7[/C][/ROW]
[ROW][C]0.64[/C][C]11.768[/C][C]11.8[/C][C]11.8[/C][C]11.8[/C][C]11.8[/C][C]11.8[/C][C]11.8[/C][C]11.8[/C][/ROW]
[ROW][C]0.65[/C][C]11.8[/C][C]11.8[/C][C]11.8[/C][C]11.8[/C][C]11.8[/C][C]11.8[/C][C]11.8[/C][C]11.8[/C][/ROW]
[ROW][C]0.66[/C][C]11.8[/C][C]11.858[/C][C]11.8[/C][C]11.8[/C][C]11.826[/C][C]11.8[/C][C]11.842[/C][C]11.9[/C][/ROW]
[ROW][C]0.67[/C][C]11.904[/C][C]11.971[/C][C]12[/C][C]12[/C][C]11.937[/C][C]11.9[/C][C]11.929[/C][C]12[/C][/ROW]
[ROW][C]0.68[/C][C]12.016[/C][C]12.084[/C][C]12.1[/C][C]12.1[/C][C]12.048[/C][C]12[/C][C]12.016[/C][C]12.1[/C][/ROW]
[ROW][C]0.69[/C][C]12.128[/C][C]12.197[/C][C]12.2[/C][C]12.2[/C][C]12.159[/C][C]12.1[/C][C]12.103[/C][C]12.2[/C][/ROW]
[ROW][C]0.7[/C][C]12.2[/C][C]12.21[/C][C]12.2[/C][C]12.2[/C][C]12.2[/C][C]12.2[/C][C]12.29[/C][C]12.2[/C][/ROW]
[ROW][C]0.71[/C][C]12.252[/C][C]12.3[/C][C]12.3[/C][C]12.3[/C][C]12.281[/C][C]12.3[/C][C]12.3[/C][C]12.3[/C][/ROW]
[ROW][C]0.72[/C][C]12.3[/C][C]12.3[/C][C]12.3[/C][C]12.3[/C][C]12.3[/C][C]12.3[/C][C]12.3[/C][C]12.3[/C][/ROW]
[ROW][C]0.73[/C][C]12.3[/C][C]12.398[/C][C]12.3[/C][C]12.3[/C][C]12.306[/C][C]12.3[/C][C]12.402[/C][C]12.3[/C][/ROW]
[ROW][C]0.74[/C][C]12.476[/C][C]12.562[/C][C]12.5[/C][C]12.5[/C][C]12.514[/C][C]12.5[/C][C]12.538[/C][C]12.6[/C][/ROW]
[ROW][C]0.75[/C][C]12.6[/C][C]12.6[/C][C]12.6[/C][C]12.6[/C][C]12.6[/C][C]12.6[/C][C]12.6[/C][C]12.6[/C][/ROW]
[ROW][C]0.76[/C][C]12.6[/C][C]12.6[/C][C]12.6[/C][C]12.6[/C][C]12.6[/C][C]12.6[/C][C]12.6[/C][C]12.6[/C][/ROW]
[ROW][C]0.77[/C][C]12.6[/C][C]12.601[/C][C]12.6[/C][C]12.6[/C][C]12.6[/C][C]12.6[/C][C]12.699[/C][C]12.6[/C][/ROW]
[ROW][C]0.78[/C][C]12.636[/C][C]12.7[/C][C]12.7[/C][C]12.7[/C][C]12.658[/C][C]12.6[/C][C]12.7[/C][C]12.7[/C][/ROW]
[ROW][C]0.79[/C][C]12.7[/C][C]12.727[/C][C]12.7[/C][C]12.7[/C][C]12.7[/C][C]12.7[/C][C]12.773[/C][C]12.7[/C][/ROW]
[ROW][C]0.8[/C][C]12.76[/C][C]12.84[/C][C]12.8[/C][C]12.8[/C][C]12.78[/C][C]12.8[/C][C]12.86[/C][C]12.8[/C][/ROW]
[ROW][C]0.81[/C][C]12.872[/C][C]12.953[/C][C]12.9[/C][C]12.9[/C][C]12.891[/C][C]12.9[/C][C]12.947[/C][C]13[/C][/ROW]
[ROW][C]0.82[/C][C]12.984[/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]0.83[/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]0.84[/C][C]13.016[/C][C]13.184[/C][C]13.2[/C][C]13.2[/C][C]13.048[/C][C]13[/C][C]13.016[/C][C]13.2[/C][/ROW]
[ROW][C]0.85[/C][C]13.2[/C][C]13.205[/C][C]13.2[/C][C]13.2[/C][C]13.2[/C][C]13.2[/C][C]13.295[/C][C]13.2[/C][/ROW]
[ROW][C]0.86[/C][C]13.232[/C][C]13.3[/C][C]13.3[/C][C]13.3[/C][C]13.246[/C][C]13.2[/C][C]13.3[/C][C]13.3[/C][/ROW]
[ROW][C]0.87[/C][C]13.3[/C][C]13.3[/C][C]13.3[/C][C]13.3[/C][C]13.3[/C][C]13.3[/C][C]13.3[/C][C]13.3[/C][/ROW]
[ROW][C]0.88[/C][C]13.3[/C][C]13.344[/C][C]13.3[/C][C]13.3[/C][C]13.3[/C][C]13.3[/C][C]13.356[/C][C]13.3[/C][/ROW]
[ROW][C]0.89[/C][C]13.368[/C][C]13.4[/C][C]13.4[/C][C]13.4[/C][C]13.379[/C][C]13.4[/C][C]13.4[/C][C]13.4[/C][/ROW]
[ROW][C]0.9[/C][C]13.4[/C][C]13.47[/C][C]13.4[/C][C]13.4[/C][C]13.4[/C][C]13.4[/C][C]13.43[/C][C]13.5[/C][/ROW]
[ROW][C]0.91[/C][C]13.492[/C][C]13.583[/C][C]13.5[/C][C]13.5[/C][C]13.501[/C][C]13.5[/C][C]13.517[/C][C]13.6[/C][/ROW]
[ROW][C]0.92[/C][C]13.608[/C][C]13.792[/C][C]13.8[/C][C]13.8[/C][C]13.624[/C][C]13.6[/C][C]13.608[/C][C]13.8[/C][/ROW]
[ROW][C]0.93[/C][C]13.8[/C][C]13.836[/C][C]13.8[/C][C]13.8[/C][C]13.8[/C][C]13.8[/C][C]14.164[/C][C]13.8[/C][/ROW]
[ROW][C]0.94[/C][C]13.912[/C][C]14.222[/C][C]14.2[/C][C]14.2[/C][C]13.936[/C][C]13.8[/C][C]14.278[/C][C]14.2[/C][/ROW]
[ROW][C]0.95[/C][C]14.24[/C][C]14.37[/C][C]14.3[/C][C]14.3[/C][C]14.245[/C][C]14.2[/C][C]14.43[/C][C]14.3[/C][/ROW]
[ROW][C]0.96[/C][C]14.404[/C][C]14.548[/C][C]14.5[/C][C]14.5[/C][C]14.412[/C][C]14.5[/C][C]14.552[/C][C]14.5[/C][/ROW]
[ROW][C]0.97[/C][C]14.564[/C][C]14.722[/C][C]14.6[/C][C]14.6[/C][C]14.567[/C][C]14.6[/C][C]14.678[/C][C]14.8[/C][/ROW]
[ROW][C]0.98[/C][C]14.752[/C][C]15.614[/C][C]14.8[/C][C]14.8[/C][C]14.756[/C][C]14.8[/C][C]15.086[/C][C]15.9[/C][/ROW]
[ROW][C]0.99[/C][C]15.768[/C][C]16.074[/C][C]15.9[/C][C]15.9[/C][C]15.779[/C][C]15.9[/C][C]15.926[/C][C]16.1[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=269633&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=269633&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)
0.014.3724.3784.94.94.9774.34.8224.3
0.025.0685.0825.65.65.6224.95.4184.9
0.035.6365.6395.75.75.7665.65.6615.6
0.045.7965.8045.95.96.0765.75.7965.9
0.056.146.166.36.36.3556.36.046.3
0.066.3726.3786.46.46.46.46.3226.4
0.076.46.46.46.46.46.46.46.4
0.086.46.4126.46.46.6646.46.6886.4
0.096.76.76.76.76.76.76.76.7
0.16.826.887.37.37.316.77.126.7
0.117.3327.3437.47.47.4427.37.3577.3
0.127.4887.5127.67.67.6327.47.4887.6
0.137.6567.6697.77.77.77.77.6317.7
0.147.77.77.77.77.8087.77.77.7
0.157.867.897.97.97.97.97.717.9
0.167.97.9087.97.97.9767.97.9927.9
0.178.0088.0428.28.28.17488.1588
0.188.2168.2348.38.38.2988.28.2668.2
0.198.38.38.38.38.3188.38.38.3
0.28.388.428.58.58.528.38.388.5
0.218.5528.5738.68.68.6628.68.5278.6
0.228.7288.7728.88.88.88.88.6288.8
0.238.88.88.88.88.9068.88.88.8
0.248.9769999999
0.2599.02599.059.07599.0759
0.269.1129.1389.29.29.1869.19.1629.1
0.279.2249.2519.39.39.2979.29.2499.3
0.289.39.39.39.39.39.39.39.3
0.299.39.39.39.39.3579.39.39.3
0.39.489.579.69.69.69.69.339.6
0.319.69.69.69.69.69.69.69.6
0.329.69.6169.69.69.6529.69.6849.6
0.339.6969.7589.79.79.8269.79.8429.7
0.349.99.99.99.99.99.99.99.9
0.359.99.99.99.99.99.99.99.9
0.369.9329.96810109.9969.99.93210
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0.410.310.3210.310.310.3410.310.3810.3
0.4110.39210.43310.410.410.45110.410.46710.4
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0.4610.810.810.810.810.80610.810.810.8
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0.4810.910.910.910.910.910.910.910.9
0.4910.910.97410.910.910.97810.911.02610.9
0.511.111.111.111.111.111.111.111.1
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0.5311.23611.28911.311.311.28311.211.21111.3
0.5411.311.30211.311.311.311.311.39811.3
0.5511.3611.411.411.411.411.411.411.4
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0.5711.411.411.411.411.411.411.411.4
0.5811.411.411.411.411.411.411.411.4
0.5911.40811.46711.511.511.44911.411.43311.5
0.611.5211.5811.611.611.5611.511.5211.6
0.6111.611.611.611.611.611.611.611.6
0.6211.64411.711.711.711.68211.611.711.7
0.6311.711.71911.711.711.711.711.78111.7
0.6411.76811.811.811.811.811.811.811.8
0.6511.811.811.811.811.811.811.811.8
0.6611.811.85811.811.811.82611.811.84211.9
0.6711.90411.971121211.93711.911.92912
0.6812.01612.08412.112.112.0481212.01612.1
0.6912.12812.19712.212.212.15912.112.10312.2
0.712.212.2112.212.212.212.212.2912.2
0.7112.25212.312.312.312.28112.312.312.3
0.7212.312.312.312.312.312.312.312.3
0.7312.312.39812.312.312.30612.312.40212.3
0.7412.47612.56212.512.512.51412.512.53812.6
0.7512.612.612.612.612.612.612.612.6
0.7612.612.612.612.612.612.612.612.6
0.7712.612.60112.612.612.612.612.69912.6
0.7812.63612.712.712.712.65812.612.712.7
0.7912.712.72712.712.712.712.712.77312.7
0.812.7612.8412.812.812.7812.812.8612.8
0.8112.87212.95312.912.912.89112.912.94713
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0.831313131313131313
0.8413.01613.18413.213.213.0481313.01613.2
0.8513.213.20513.213.213.213.213.29513.2
0.8613.23213.313.313.313.24613.213.313.3
0.8713.313.313.313.313.313.313.313.3
0.8813.313.34413.313.313.313.313.35613.3
0.8913.36813.413.413.413.37913.413.413.4
0.913.413.4713.413.413.413.413.4313.5
0.9113.49213.58313.513.513.50113.513.51713.6
0.9213.60813.79213.813.813.62413.613.60813.8
0.9313.813.83613.813.813.813.814.16413.8
0.9413.91214.22214.214.213.93613.814.27814.2
0.9514.2414.3714.314.314.24514.214.4314.3
0.9614.40414.54814.514.514.41214.514.55214.5
0.9714.56414.72214.614.614.56714.614.67814.8
0.9814.75215.61414.814.814.75614.815.08615.9
0.9915.76816.07415.915.915.77915.915.92616.1



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')