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R Software Modulerwasp_percentiles.wasp
Title produced by softwarePercentiles
Date of computationWed, 10 Dec 2014 14:56:26 +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/t14182234087hxfcbpzqxxw1kz.htm/, Retrieved Sun, 19 May 2024 15:25:19 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=265314, Retrieved Sun, 19 May 2024 15:25:19 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact59
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Percentiles] [] [2014-12-10 14:56:26] [94ef54447bb0146b66f4a809a85d3ed7] [Current]
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Dataseries X:
93,75
84,38
56,25
87,50
84,38
87,50
65,63
68,75
62,50
71,88
56,25
56,25
78,13
78,13
78,13
75,00
40,63
53,13
12,50
50,00
65,63
62,50
68,75
0,00
56,25
90,63
46,88
68,75
68,75
53,13
84,38
46,88
81,25
56,25
84,38
53,13
59,38
40,63
50,00
6,25
81,25
68,75
71,88
56,25
56,25
59,38
68,75
43,75
71,88
62,50
40,63
50,00
21,88
53,13
59,38
71,88
59,38
50,00
62,50
78,13
53,13
37,50
75,00
43,75
56,25
59,38
50,00
59,38
12,50
62,50
75,00
53,13
68,75
59,38
68,75
71,88
53,13
75,00
62,50
78,13
62,50
65,63
68,75
78,13
87,50
90,63
62,50
62,50
59,38
59,38
81,25
31,25
53,13
93,75
68,75
71,88
50,00
56,25
78,13
56,25
75,00
71,88
75,00
46,88
62,50
81,25
71,88
71,88
68,75
46,88
68,75
31,25
62,50
71,88
84,38
71,88
78,13
62,50
75,00
71,88
68,75
65,63
78,13
84,38
71,88
71,88
59,38
46,88
62,50
50,00
78,13
78,13
59,38
50,00
59,38
59,38
71,88
65,63
59,38
62,50
9,38
71,88
46,88
75,00
75,00
75,00
87,50
71,88
78,13
78,13
62,50
78,13
71,88
62,50
50,00
71,88
34,38
71,88
90,63
50,00
71,88
62,50
12,50
75,00
50,00
9,38
71,88
62,50
59,38
75,00
84,38




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 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 & 2 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ jenkins.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=265314&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]'Gwilym Jenkins' @ jenkins.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=265314&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=265314&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'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)
0.014.43754.56.256.258.4416.251.756.25
0.029.389.389.389.3810.6289.389.389.38
0.0312.512.512.512.512.512.512.512.5
0.0412.512.512.512.520.00412.512.512.5
0.0527.033527.50231.2531.2531.2531.2525.62831.25
0.0632.063832.251634.3834.3835.00431.2533.378431.25
0.0737.406437.625237.537.540.31737.540.504837.5
0.0840.6340.6340.6340.6340.6340.6340.6340.63
0.0941.846842.127643.7543.7543.7540.6342.252440.63
0.144.06344.37646.8846.8846.8843.7546.25443.75
0.1146.8846.8846.8846.8846.8846.8846.8846.88
0.1246.8846.8846.8846.8846.8846.8846.8846.88
0.1346.8846.8846.8846.8847.19246.8846.8846.88
0.1449.812850505050505050
0.155050505050505050
0.165050505050505050
0.175050505050505050
0.185050505050505050
0.195050505050505050
0.250.62651.25253.1353.1353.135051.87850
0.2153.1353.1353.1353.1353.1353.1353.1353.13
0.2253.1353.1353.1353.1353.1353.1353.1353.13
0.2353.1353.1353.1353.1353.1353.1353.1353.13
0.2453.1353.1353.1353.1353.1353.1353.1353.13
0.2555.4756.2556.2556.2556.2556.2556.2556.25
0.2656.2556.2556.2556.2556.2556.2556.2556.25
0.2756.2556.2556.2556.2556.2556.2556.2556.25
0.2856.2556.2556.2556.2556.2556.2556.2556.25
0.2956.2556.2556.2556.2556.2556.2556.2556.25
0.356.2556.2556.2556.2556.2556.2556.2556.25
0.3159.3859.3859.3859.3859.3859.3859.3859.38
0.3259.3859.3859.3859.3859.3859.3859.3859.38
0.3359.3859.3859.3859.3859.3859.3859.3859.38
0.3459.3859.3859.3859.3859.3859.3859.3859.38
0.3559.3859.3859.3859.3859.3859.3859.3859.38
0.3659.3859.3859.3859.3859.3859.3859.3859.38
0.3759.3859.3859.3859.3859.3859.3859.3859.38
0.3859.3859.3859.3859.3859.3859.3859.3859.38
0.3959.3859.629659.3859.3860.31659.3862.250459.38
0.462.562.562.562.562.562.562.562.5
0.4162.562.562.562.562.562.562.562.5
0.4262.562.562.562.562.562.562.562.5
0.4362.562.562.562.562.562.562.562.5
0.4462.562.562.562.562.562.562.562.5
0.4562.562.562.562.562.562.562.562.5
0.4662.562.562.562.562.562.562.562.5
0.4762.562.562.562.562.562.562.562.5
0.4862.562.562.562.562.562.562.562.5
0.4962.562.562.562.562.562.562.562.5
0.564.06565.6365.6365.6365.6365.6365.6365.63
0.5165.6365.6365.6365.6365.6365.6365.6365.63
0.5265.6365.6365.6365.6365.6365.6365.6365.63
0.5367.595668.7568.7568.7568.7568.7568.7568.75
0.5468.7568.7568.7568.7568.7568.7568.7568.75
0.5568.7568.7568.7568.7568.7568.7568.7568.75
0.5668.7568.7568.7568.7568.7568.7568.7568.75
0.5768.7568.7568.7568.7568.7568.7568.7568.75
0.5868.7568.7568.7568.7568.7568.7568.7568.75
0.5968.7568.7568.7568.7568.7568.7568.7568.75
0.668.7569.37668.7568.7568.7568.7571.25468.75
0.6171.8871.8871.8871.8871.8871.8871.8871.88
0.6271.8871.8871.8871.8871.8871.8871.8871.88
0.6371.8871.8871.8871.8871.8871.8871.8871.88
0.6471.8871.8871.8871.8871.8871.8871.8871.88
0.6571.8871.8871.8871.8871.8871.8871.8871.88
0.6671.8871.8871.8871.8871.8871.8871.8871.88
0.6771.8871.8871.8871.8871.8871.8871.8871.88
0.6871.8871.8871.8871.8871.8871.8871.8871.88
0.6971.8871.8871.8871.8871.8871.8871.8871.88
0.771.8871.8871.8871.8871.8871.8871.8871.88
0.7171.8871.8871.8871.8871.8871.8871.8871.88
0.7271.8871.8871.8871.8871.8871.8871.8871.88
0.7371.8873.627271.8871.8872.19271.8873.252875
0.747575757575757575
0.757575757575757575
0.767575757575757575
0.777575757575757575
0.787575757575757575
0.797575757575757575
0.87576.8787575757576.25278.13
0.8178.1378.1378.1378.1378.1378.1378.1378.13
0.8278.1378.1378.1378.1378.1378.1378.1378.13
0.8378.1378.1378.1378.1378.1378.1378.1378.13
0.8478.1378.1378.1378.1378.1378.1378.1378.13
0.8578.1378.1378.1378.1378.1378.1378.1378.13
0.8678.1378.1378.1378.1378.1378.1378.1378.13
0.8778.1378.1378.1378.1378.1378.1378.1378.13
0.8878.1379.253278.1378.1378.1378.1380.126878.13
0.8981.2581.2581.2581.2581.2581.2581.2581.25
0.981.2581.2581.2581.2581.2581.2581.2581.25
0.9183.159384.3884.3884.3883.44184.3884.3884.38
0.9284.3884.3884.3884.3884.3884.3884.3884.38
0.9384.3884.3884.3884.3884.3884.3884.3884.38
0.9484.3884.3884.3884.3884.3884.3884.3884.38
0.9585.78487.587.587.585.9484.3887.587.5
0.9687.587.587.587.587.587.587.587.5
0.9787.590.129287.587.587.587.588.000890.63
0.9890.6390.6390.6390.6390.6390.6390.6390.63
0.9991.534893.7593.7593.7591.56690.6393.7593.75

\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 & 4.4375 & 4.5 & 6.25 & 6.25 & 8.441 & 6.25 & 1.75 & 6.25 \tabularnewline
0.02 & 9.38 & 9.38 & 9.38 & 9.38 & 10.628 & 9.38 & 9.38 & 9.38 \tabularnewline
0.03 & 12.5 & 12.5 & 12.5 & 12.5 & 12.5 & 12.5 & 12.5 & 12.5 \tabularnewline
0.04 & 12.5 & 12.5 & 12.5 & 12.5 & 20.004 & 12.5 & 12.5 & 12.5 \tabularnewline
0.05 & 27.0335 & 27.502 & 31.25 & 31.25 & 31.25 & 31.25 & 25.628 & 31.25 \tabularnewline
0.06 & 32.0638 & 32.2516 & 34.38 & 34.38 & 35.004 & 31.25 & 33.3784 & 31.25 \tabularnewline
0.07 & 37.4064 & 37.6252 & 37.5 & 37.5 & 40.317 & 37.5 & 40.5048 & 37.5 \tabularnewline
0.08 & 40.63 & 40.63 & 40.63 & 40.63 & 40.63 & 40.63 & 40.63 & 40.63 \tabularnewline
0.09 & 41.8468 & 42.1276 & 43.75 & 43.75 & 43.75 & 40.63 & 42.2524 & 40.63 \tabularnewline
0.1 & 44.063 & 44.376 & 46.88 & 46.88 & 46.88 & 43.75 & 46.254 & 43.75 \tabularnewline
0.11 & 46.88 & 46.88 & 46.88 & 46.88 & 46.88 & 46.88 & 46.88 & 46.88 \tabularnewline
0.12 & 46.88 & 46.88 & 46.88 & 46.88 & 46.88 & 46.88 & 46.88 & 46.88 \tabularnewline
0.13 & 46.88 & 46.88 & 46.88 & 46.88 & 47.192 & 46.88 & 46.88 & 46.88 \tabularnewline
0.14 & 49.8128 & 50 & 50 & 50 & 50 & 50 & 50 & 50 \tabularnewline
0.15 & 50 & 50 & 50 & 50 & 50 & 50 & 50 & 50 \tabularnewline
0.16 & 50 & 50 & 50 & 50 & 50 & 50 & 50 & 50 \tabularnewline
0.17 & 50 & 50 & 50 & 50 & 50 & 50 & 50 & 50 \tabularnewline
0.18 & 50 & 50 & 50 & 50 & 50 & 50 & 50 & 50 \tabularnewline
0.19 & 50 & 50 & 50 & 50 & 50 & 50 & 50 & 50 \tabularnewline
0.2 & 50.626 & 51.252 & 53.13 & 53.13 & 53.13 & 50 & 51.878 & 50 \tabularnewline
0.21 & 53.13 & 53.13 & 53.13 & 53.13 & 53.13 & 53.13 & 53.13 & 53.13 \tabularnewline
0.22 & 53.13 & 53.13 & 53.13 & 53.13 & 53.13 & 53.13 & 53.13 & 53.13 \tabularnewline
0.23 & 53.13 & 53.13 & 53.13 & 53.13 & 53.13 & 53.13 & 53.13 & 53.13 \tabularnewline
0.24 & 53.13 & 53.13 & 53.13 & 53.13 & 53.13 & 53.13 & 53.13 & 53.13 \tabularnewline
0.25 & 55.47 & 56.25 & 56.25 & 56.25 & 56.25 & 56.25 & 56.25 & 56.25 \tabularnewline
0.26 & 56.25 & 56.25 & 56.25 & 56.25 & 56.25 & 56.25 & 56.25 & 56.25 \tabularnewline
0.27 & 56.25 & 56.25 & 56.25 & 56.25 & 56.25 & 56.25 & 56.25 & 56.25 \tabularnewline
0.28 & 56.25 & 56.25 & 56.25 & 56.25 & 56.25 & 56.25 & 56.25 & 56.25 \tabularnewline
0.29 & 56.25 & 56.25 & 56.25 & 56.25 & 56.25 & 56.25 & 56.25 & 56.25 \tabularnewline
0.3 & 56.25 & 56.25 & 56.25 & 56.25 & 56.25 & 56.25 & 56.25 & 56.25 \tabularnewline
0.31 & 59.38 & 59.38 & 59.38 & 59.38 & 59.38 & 59.38 & 59.38 & 59.38 \tabularnewline
0.32 & 59.38 & 59.38 & 59.38 & 59.38 & 59.38 & 59.38 & 59.38 & 59.38 \tabularnewline
0.33 & 59.38 & 59.38 & 59.38 & 59.38 & 59.38 & 59.38 & 59.38 & 59.38 \tabularnewline
0.34 & 59.38 & 59.38 & 59.38 & 59.38 & 59.38 & 59.38 & 59.38 & 59.38 \tabularnewline
0.35 & 59.38 & 59.38 & 59.38 & 59.38 & 59.38 & 59.38 & 59.38 & 59.38 \tabularnewline
0.36 & 59.38 & 59.38 & 59.38 & 59.38 & 59.38 & 59.38 & 59.38 & 59.38 \tabularnewline
0.37 & 59.38 & 59.38 & 59.38 & 59.38 & 59.38 & 59.38 & 59.38 & 59.38 \tabularnewline
0.38 & 59.38 & 59.38 & 59.38 & 59.38 & 59.38 & 59.38 & 59.38 & 59.38 \tabularnewline
0.39 & 59.38 & 59.6296 & 59.38 & 59.38 & 60.316 & 59.38 & 62.2504 & 59.38 \tabularnewline
0.4 & 62.5 & 62.5 & 62.5 & 62.5 & 62.5 & 62.5 & 62.5 & 62.5 \tabularnewline
0.41 & 62.5 & 62.5 & 62.5 & 62.5 & 62.5 & 62.5 & 62.5 & 62.5 \tabularnewline
0.42 & 62.5 & 62.5 & 62.5 & 62.5 & 62.5 & 62.5 & 62.5 & 62.5 \tabularnewline
0.43 & 62.5 & 62.5 & 62.5 & 62.5 & 62.5 & 62.5 & 62.5 & 62.5 \tabularnewline
0.44 & 62.5 & 62.5 & 62.5 & 62.5 & 62.5 & 62.5 & 62.5 & 62.5 \tabularnewline
0.45 & 62.5 & 62.5 & 62.5 & 62.5 & 62.5 & 62.5 & 62.5 & 62.5 \tabularnewline
0.46 & 62.5 & 62.5 & 62.5 & 62.5 & 62.5 & 62.5 & 62.5 & 62.5 \tabularnewline
0.47 & 62.5 & 62.5 & 62.5 & 62.5 & 62.5 & 62.5 & 62.5 & 62.5 \tabularnewline
0.48 & 62.5 & 62.5 & 62.5 & 62.5 & 62.5 & 62.5 & 62.5 & 62.5 \tabularnewline
0.49 & 62.5 & 62.5 & 62.5 & 62.5 & 62.5 & 62.5 & 62.5 & 62.5 \tabularnewline
0.5 & 64.065 & 65.63 & 65.63 & 65.63 & 65.63 & 65.63 & 65.63 & 65.63 \tabularnewline
0.51 & 65.63 & 65.63 & 65.63 & 65.63 & 65.63 & 65.63 & 65.63 & 65.63 \tabularnewline
0.52 & 65.63 & 65.63 & 65.63 & 65.63 & 65.63 & 65.63 & 65.63 & 65.63 \tabularnewline
0.53 & 67.5956 & 68.75 & 68.75 & 68.75 & 68.75 & 68.75 & 68.75 & 68.75 \tabularnewline
0.54 & 68.75 & 68.75 & 68.75 & 68.75 & 68.75 & 68.75 & 68.75 & 68.75 \tabularnewline
0.55 & 68.75 & 68.75 & 68.75 & 68.75 & 68.75 & 68.75 & 68.75 & 68.75 \tabularnewline
0.56 & 68.75 & 68.75 & 68.75 & 68.75 & 68.75 & 68.75 & 68.75 & 68.75 \tabularnewline
0.57 & 68.75 & 68.75 & 68.75 & 68.75 & 68.75 & 68.75 & 68.75 & 68.75 \tabularnewline
0.58 & 68.75 & 68.75 & 68.75 & 68.75 & 68.75 & 68.75 & 68.75 & 68.75 \tabularnewline
0.59 & 68.75 & 68.75 & 68.75 & 68.75 & 68.75 & 68.75 & 68.75 & 68.75 \tabularnewline
0.6 & 68.75 & 69.376 & 68.75 & 68.75 & 68.75 & 68.75 & 71.254 & 68.75 \tabularnewline
0.61 & 71.88 & 71.88 & 71.88 & 71.88 & 71.88 & 71.88 & 71.88 & 71.88 \tabularnewline
0.62 & 71.88 & 71.88 & 71.88 & 71.88 & 71.88 & 71.88 & 71.88 & 71.88 \tabularnewline
0.63 & 71.88 & 71.88 & 71.88 & 71.88 & 71.88 & 71.88 & 71.88 & 71.88 \tabularnewline
0.64 & 71.88 & 71.88 & 71.88 & 71.88 & 71.88 & 71.88 & 71.88 & 71.88 \tabularnewline
0.65 & 71.88 & 71.88 & 71.88 & 71.88 & 71.88 & 71.88 & 71.88 & 71.88 \tabularnewline
0.66 & 71.88 & 71.88 & 71.88 & 71.88 & 71.88 & 71.88 & 71.88 & 71.88 \tabularnewline
0.67 & 71.88 & 71.88 & 71.88 & 71.88 & 71.88 & 71.88 & 71.88 & 71.88 \tabularnewline
0.68 & 71.88 & 71.88 & 71.88 & 71.88 & 71.88 & 71.88 & 71.88 & 71.88 \tabularnewline
0.69 & 71.88 & 71.88 & 71.88 & 71.88 & 71.88 & 71.88 & 71.88 & 71.88 \tabularnewline
0.7 & 71.88 & 71.88 & 71.88 & 71.88 & 71.88 & 71.88 & 71.88 & 71.88 \tabularnewline
0.71 & 71.88 & 71.88 & 71.88 & 71.88 & 71.88 & 71.88 & 71.88 & 71.88 \tabularnewline
0.72 & 71.88 & 71.88 & 71.88 & 71.88 & 71.88 & 71.88 & 71.88 & 71.88 \tabularnewline
0.73 & 71.88 & 73.6272 & 71.88 & 71.88 & 72.192 & 71.88 & 73.2528 & 75 \tabularnewline
0.74 & 75 & 75 & 75 & 75 & 75 & 75 & 75 & 75 \tabularnewline
0.75 & 75 & 75 & 75 & 75 & 75 & 75 & 75 & 75 \tabularnewline
0.76 & 75 & 75 & 75 & 75 & 75 & 75 & 75 & 75 \tabularnewline
0.77 & 75 & 75 & 75 & 75 & 75 & 75 & 75 & 75 \tabularnewline
0.78 & 75 & 75 & 75 & 75 & 75 & 75 & 75 & 75 \tabularnewline
0.79 & 75 & 75 & 75 & 75 & 75 & 75 & 75 & 75 \tabularnewline
0.8 & 75 & 76.878 & 75 & 75 & 75 & 75 & 76.252 & 78.13 \tabularnewline
0.81 & 78.13 & 78.13 & 78.13 & 78.13 & 78.13 & 78.13 & 78.13 & 78.13 \tabularnewline
0.82 & 78.13 & 78.13 & 78.13 & 78.13 & 78.13 & 78.13 & 78.13 & 78.13 \tabularnewline
0.83 & 78.13 & 78.13 & 78.13 & 78.13 & 78.13 & 78.13 & 78.13 & 78.13 \tabularnewline
0.84 & 78.13 & 78.13 & 78.13 & 78.13 & 78.13 & 78.13 & 78.13 & 78.13 \tabularnewline
0.85 & 78.13 & 78.13 & 78.13 & 78.13 & 78.13 & 78.13 & 78.13 & 78.13 \tabularnewline
0.86 & 78.13 & 78.13 & 78.13 & 78.13 & 78.13 & 78.13 & 78.13 & 78.13 \tabularnewline
0.87 & 78.13 & 78.13 & 78.13 & 78.13 & 78.13 & 78.13 & 78.13 & 78.13 \tabularnewline
0.88 & 78.13 & 79.2532 & 78.13 & 78.13 & 78.13 & 78.13 & 80.1268 & 78.13 \tabularnewline
0.89 & 81.25 & 81.25 & 81.25 & 81.25 & 81.25 & 81.25 & 81.25 & 81.25 \tabularnewline
0.9 & 81.25 & 81.25 & 81.25 & 81.25 & 81.25 & 81.25 & 81.25 & 81.25 \tabularnewline
0.91 & 83.1593 & 84.38 & 84.38 & 84.38 & 83.441 & 84.38 & 84.38 & 84.38 \tabularnewline
0.92 & 84.38 & 84.38 & 84.38 & 84.38 & 84.38 & 84.38 & 84.38 & 84.38 \tabularnewline
0.93 & 84.38 & 84.38 & 84.38 & 84.38 & 84.38 & 84.38 & 84.38 & 84.38 \tabularnewline
0.94 & 84.38 & 84.38 & 84.38 & 84.38 & 84.38 & 84.38 & 84.38 & 84.38 \tabularnewline
0.95 & 85.784 & 87.5 & 87.5 & 87.5 & 85.94 & 84.38 & 87.5 & 87.5 \tabularnewline
0.96 & 87.5 & 87.5 & 87.5 & 87.5 & 87.5 & 87.5 & 87.5 & 87.5 \tabularnewline
0.97 & 87.5 & 90.1292 & 87.5 & 87.5 & 87.5 & 87.5 & 88.0008 & 90.63 \tabularnewline
0.98 & 90.63 & 90.63 & 90.63 & 90.63 & 90.63 & 90.63 & 90.63 & 90.63 \tabularnewline
0.99 & 91.5348 & 93.75 & 93.75 & 93.75 & 91.566 & 90.63 & 93.75 & 93.75 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=265314&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]4.4375[/C][C]4.5[/C][C]6.25[/C][C]6.25[/C][C]8.441[/C][C]6.25[/C][C]1.75[/C][C]6.25[/C][/ROW]
[ROW][C]0.02[/C][C]9.38[/C][C]9.38[/C][C]9.38[/C][C]9.38[/C][C]10.628[/C][C]9.38[/C][C]9.38[/C][C]9.38[/C][/ROW]
[ROW][C]0.03[/C][C]12.5[/C][C]12.5[/C][C]12.5[/C][C]12.5[/C][C]12.5[/C][C]12.5[/C][C]12.5[/C][C]12.5[/C][/ROW]
[ROW][C]0.04[/C][C]12.5[/C][C]12.5[/C][C]12.5[/C][C]12.5[/C][C]20.004[/C][C]12.5[/C][C]12.5[/C][C]12.5[/C][/ROW]
[ROW][C]0.05[/C][C]27.0335[/C][C]27.502[/C][C]31.25[/C][C]31.25[/C][C]31.25[/C][C]31.25[/C][C]25.628[/C][C]31.25[/C][/ROW]
[ROW][C]0.06[/C][C]32.0638[/C][C]32.2516[/C][C]34.38[/C][C]34.38[/C][C]35.004[/C][C]31.25[/C][C]33.3784[/C][C]31.25[/C][/ROW]
[ROW][C]0.07[/C][C]37.4064[/C][C]37.6252[/C][C]37.5[/C][C]37.5[/C][C]40.317[/C][C]37.5[/C][C]40.5048[/C][C]37.5[/C][/ROW]
[ROW][C]0.08[/C][C]40.63[/C][C]40.63[/C][C]40.63[/C][C]40.63[/C][C]40.63[/C][C]40.63[/C][C]40.63[/C][C]40.63[/C][/ROW]
[ROW][C]0.09[/C][C]41.8468[/C][C]42.1276[/C][C]43.75[/C][C]43.75[/C][C]43.75[/C][C]40.63[/C][C]42.2524[/C][C]40.63[/C][/ROW]
[ROW][C]0.1[/C][C]44.063[/C][C]44.376[/C][C]46.88[/C][C]46.88[/C][C]46.88[/C][C]43.75[/C][C]46.254[/C][C]43.75[/C][/ROW]
[ROW][C]0.11[/C][C]46.88[/C][C]46.88[/C][C]46.88[/C][C]46.88[/C][C]46.88[/C][C]46.88[/C][C]46.88[/C][C]46.88[/C][/ROW]
[ROW][C]0.12[/C][C]46.88[/C][C]46.88[/C][C]46.88[/C][C]46.88[/C][C]46.88[/C][C]46.88[/C][C]46.88[/C][C]46.88[/C][/ROW]
[ROW][C]0.13[/C][C]46.88[/C][C]46.88[/C][C]46.88[/C][C]46.88[/C][C]47.192[/C][C]46.88[/C][C]46.88[/C][C]46.88[/C][/ROW]
[ROW][C]0.14[/C][C]49.8128[/C][C]50[/C][C]50[/C][C]50[/C][C]50[/C][C]50[/C][C]50[/C][C]50[/C][/ROW]
[ROW][C]0.15[/C][C]50[/C][C]50[/C][C]50[/C][C]50[/C][C]50[/C][C]50[/C][C]50[/C][C]50[/C][/ROW]
[ROW][C]0.16[/C][C]50[/C][C]50[/C][C]50[/C][C]50[/C][C]50[/C][C]50[/C][C]50[/C][C]50[/C][/ROW]
[ROW][C]0.17[/C][C]50[/C][C]50[/C][C]50[/C][C]50[/C][C]50[/C][C]50[/C][C]50[/C][C]50[/C][/ROW]
[ROW][C]0.18[/C][C]50[/C][C]50[/C][C]50[/C][C]50[/C][C]50[/C][C]50[/C][C]50[/C][C]50[/C][/ROW]
[ROW][C]0.19[/C][C]50[/C][C]50[/C][C]50[/C][C]50[/C][C]50[/C][C]50[/C][C]50[/C][C]50[/C][/ROW]
[ROW][C]0.2[/C][C]50.626[/C][C]51.252[/C][C]53.13[/C][C]53.13[/C][C]53.13[/C][C]50[/C][C]51.878[/C][C]50[/C][/ROW]
[ROW][C]0.21[/C][C]53.13[/C][C]53.13[/C][C]53.13[/C][C]53.13[/C][C]53.13[/C][C]53.13[/C][C]53.13[/C][C]53.13[/C][/ROW]
[ROW][C]0.22[/C][C]53.13[/C][C]53.13[/C][C]53.13[/C][C]53.13[/C][C]53.13[/C][C]53.13[/C][C]53.13[/C][C]53.13[/C][/ROW]
[ROW][C]0.23[/C][C]53.13[/C][C]53.13[/C][C]53.13[/C][C]53.13[/C][C]53.13[/C][C]53.13[/C][C]53.13[/C][C]53.13[/C][/ROW]
[ROW][C]0.24[/C][C]53.13[/C][C]53.13[/C][C]53.13[/C][C]53.13[/C][C]53.13[/C][C]53.13[/C][C]53.13[/C][C]53.13[/C][/ROW]
[ROW][C]0.25[/C][C]55.47[/C][C]56.25[/C][C]56.25[/C][C]56.25[/C][C]56.25[/C][C]56.25[/C][C]56.25[/C][C]56.25[/C][/ROW]
[ROW][C]0.26[/C][C]56.25[/C][C]56.25[/C][C]56.25[/C][C]56.25[/C][C]56.25[/C][C]56.25[/C][C]56.25[/C][C]56.25[/C][/ROW]
[ROW][C]0.27[/C][C]56.25[/C][C]56.25[/C][C]56.25[/C][C]56.25[/C][C]56.25[/C][C]56.25[/C][C]56.25[/C][C]56.25[/C][/ROW]
[ROW][C]0.28[/C][C]56.25[/C][C]56.25[/C][C]56.25[/C][C]56.25[/C][C]56.25[/C][C]56.25[/C][C]56.25[/C][C]56.25[/C][/ROW]
[ROW][C]0.29[/C][C]56.25[/C][C]56.25[/C][C]56.25[/C][C]56.25[/C][C]56.25[/C][C]56.25[/C][C]56.25[/C][C]56.25[/C][/ROW]
[ROW][C]0.3[/C][C]56.25[/C][C]56.25[/C][C]56.25[/C][C]56.25[/C][C]56.25[/C][C]56.25[/C][C]56.25[/C][C]56.25[/C][/ROW]
[ROW][C]0.31[/C][C]59.38[/C][C]59.38[/C][C]59.38[/C][C]59.38[/C][C]59.38[/C][C]59.38[/C][C]59.38[/C][C]59.38[/C][/ROW]
[ROW][C]0.32[/C][C]59.38[/C][C]59.38[/C][C]59.38[/C][C]59.38[/C][C]59.38[/C][C]59.38[/C][C]59.38[/C][C]59.38[/C][/ROW]
[ROW][C]0.33[/C][C]59.38[/C][C]59.38[/C][C]59.38[/C][C]59.38[/C][C]59.38[/C][C]59.38[/C][C]59.38[/C][C]59.38[/C][/ROW]
[ROW][C]0.34[/C][C]59.38[/C][C]59.38[/C][C]59.38[/C][C]59.38[/C][C]59.38[/C][C]59.38[/C][C]59.38[/C][C]59.38[/C][/ROW]
[ROW][C]0.35[/C][C]59.38[/C][C]59.38[/C][C]59.38[/C][C]59.38[/C][C]59.38[/C][C]59.38[/C][C]59.38[/C][C]59.38[/C][/ROW]
[ROW][C]0.36[/C][C]59.38[/C][C]59.38[/C][C]59.38[/C][C]59.38[/C][C]59.38[/C][C]59.38[/C][C]59.38[/C][C]59.38[/C][/ROW]
[ROW][C]0.37[/C][C]59.38[/C][C]59.38[/C][C]59.38[/C][C]59.38[/C][C]59.38[/C][C]59.38[/C][C]59.38[/C][C]59.38[/C][/ROW]
[ROW][C]0.38[/C][C]59.38[/C][C]59.38[/C][C]59.38[/C][C]59.38[/C][C]59.38[/C][C]59.38[/C][C]59.38[/C][C]59.38[/C][/ROW]
[ROW][C]0.39[/C][C]59.38[/C][C]59.6296[/C][C]59.38[/C][C]59.38[/C][C]60.316[/C][C]59.38[/C][C]62.2504[/C][C]59.38[/C][/ROW]
[ROW][C]0.4[/C][C]62.5[/C][C]62.5[/C][C]62.5[/C][C]62.5[/C][C]62.5[/C][C]62.5[/C][C]62.5[/C][C]62.5[/C][/ROW]
[ROW][C]0.41[/C][C]62.5[/C][C]62.5[/C][C]62.5[/C][C]62.5[/C][C]62.5[/C][C]62.5[/C][C]62.5[/C][C]62.5[/C][/ROW]
[ROW][C]0.42[/C][C]62.5[/C][C]62.5[/C][C]62.5[/C][C]62.5[/C][C]62.5[/C][C]62.5[/C][C]62.5[/C][C]62.5[/C][/ROW]
[ROW][C]0.43[/C][C]62.5[/C][C]62.5[/C][C]62.5[/C][C]62.5[/C][C]62.5[/C][C]62.5[/C][C]62.5[/C][C]62.5[/C][/ROW]
[ROW][C]0.44[/C][C]62.5[/C][C]62.5[/C][C]62.5[/C][C]62.5[/C][C]62.5[/C][C]62.5[/C][C]62.5[/C][C]62.5[/C][/ROW]
[ROW][C]0.45[/C][C]62.5[/C][C]62.5[/C][C]62.5[/C][C]62.5[/C][C]62.5[/C][C]62.5[/C][C]62.5[/C][C]62.5[/C][/ROW]
[ROW][C]0.46[/C][C]62.5[/C][C]62.5[/C][C]62.5[/C][C]62.5[/C][C]62.5[/C][C]62.5[/C][C]62.5[/C][C]62.5[/C][/ROW]
[ROW][C]0.47[/C][C]62.5[/C][C]62.5[/C][C]62.5[/C][C]62.5[/C][C]62.5[/C][C]62.5[/C][C]62.5[/C][C]62.5[/C][/ROW]
[ROW][C]0.48[/C][C]62.5[/C][C]62.5[/C][C]62.5[/C][C]62.5[/C][C]62.5[/C][C]62.5[/C][C]62.5[/C][C]62.5[/C][/ROW]
[ROW][C]0.49[/C][C]62.5[/C][C]62.5[/C][C]62.5[/C][C]62.5[/C][C]62.5[/C][C]62.5[/C][C]62.5[/C][C]62.5[/C][/ROW]
[ROW][C]0.5[/C][C]64.065[/C][C]65.63[/C][C]65.63[/C][C]65.63[/C][C]65.63[/C][C]65.63[/C][C]65.63[/C][C]65.63[/C][/ROW]
[ROW][C]0.51[/C][C]65.63[/C][C]65.63[/C][C]65.63[/C][C]65.63[/C][C]65.63[/C][C]65.63[/C][C]65.63[/C][C]65.63[/C][/ROW]
[ROW][C]0.52[/C][C]65.63[/C][C]65.63[/C][C]65.63[/C][C]65.63[/C][C]65.63[/C][C]65.63[/C][C]65.63[/C][C]65.63[/C][/ROW]
[ROW][C]0.53[/C][C]67.5956[/C][C]68.75[/C][C]68.75[/C][C]68.75[/C][C]68.75[/C][C]68.75[/C][C]68.75[/C][C]68.75[/C][/ROW]
[ROW][C]0.54[/C][C]68.75[/C][C]68.75[/C][C]68.75[/C][C]68.75[/C][C]68.75[/C][C]68.75[/C][C]68.75[/C][C]68.75[/C][/ROW]
[ROW][C]0.55[/C][C]68.75[/C][C]68.75[/C][C]68.75[/C][C]68.75[/C][C]68.75[/C][C]68.75[/C][C]68.75[/C][C]68.75[/C][/ROW]
[ROW][C]0.56[/C][C]68.75[/C][C]68.75[/C][C]68.75[/C][C]68.75[/C][C]68.75[/C][C]68.75[/C][C]68.75[/C][C]68.75[/C][/ROW]
[ROW][C]0.57[/C][C]68.75[/C][C]68.75[/C][C]68.75[/C][C]68.75[/C][C]68.75[/C][C]68.75[/C][C]68.75[/C][C]68.75[/C][/ROW]
[ROW][C]0.58[/C][C]68.75[/C][C]68.75[/C][C]68.75[/C][C]68.75[/C][C]68.75[/C][C]68.75[/C][C]68.75[/C][C]68.75[/C][/ROW]
[ROW][C]0.59[/C][C]68.75[/C][C]68.75[/C][C]68.75[/C][C]68.75[/C][C]68.75[/C][C]68.75[/C][C]68.75[/C][C]68.75[/C][/ROW]
[ROW][C]0.6[/C][C]68.75[/C][C]69.376[/C][C]68.75[/C][C]68.75[/C][C]68.75[/C][C]68.75[/C][C]71.254[/C][C]68.75[/C][/ROW]
[ROW][C]0.61[/C][C]71.88[/C][C]71.88[/C][C]71.88[/C][C]71.88[/C][C]71.88[/C][C]71.88[/C][C]71.88[/C][C]71.88[/C][/ROW]
[ROW][C]0.62[/C][C]71.88[/C][C]71.88[/C][C]71.88[/C][C]71.88[/C][C]71.88[/C][C]71.88[/C][C]71.88[/C][C]71.88[/C][/ROW]
[ROW][C]0.63[/C][C]71.88[/C][C]71.88[/C][C]71.88[/C][C]71.88[/C][C]71.88[/C][C]71.88[/C][C]71.88[/C][C]71.88[/C][/ROW]
[ROW][C]0.64[/C][C]71.88[/C][C]71.88[/C][C]71.88[/C][C]71.88[/C][C]71.88[/C][C]71.88[/C][C]71.88[/C][C]71.88[/C][/ROW]
[ROW][C]0.65[/C][C]71.88[/C][C]71.88[/C][C]71.88[/C][C]71.88[/C][C]71.88[/C][C]71.88[/C][C]71.88[/C][C]71.88[/C][/ROW]
[ROW][C]0.66[/C][C]71.88[/C][C]71.88[/C][C]71.88[/C][C]71.88[/C][C]71.88[/C][C]71.88[/C][C]71.88[/C][C]71.88[/C][/ROW]
[ROW][C]0.67[/C][C]71.88[/C][C]71.88[/C][C]71.88[/C][C]71.88[/C][C]71.88[/C][C]71.88[/C][C]71.88[/C][C]71.88[/C][/ROW]
[ROW][C]0.68[/C][C]71.88[/C][C]71.88[/C][C]71.88[/C][C]71.88[/C][C]71.88[/C][C]71.88[/C][C]71.88[/C][C]71.88[/C][/ROW]
[ROW][C]0.69[/C][C]71.88[/C][C]71.88[/C][C]71.88[/C][C]71.88[/C][C]71.88[/C][C]71.88[/C][C]71.88[/C][C]71.88[/C][/ROW]
[ROW][C]0.7[/C][C]71.88[/C][C]71.88[/C][C]71.88[/C][C]71.88[/C][C]71.88[/C][C]71.88[/C][C]71.88[/C][C]71.88[/C][/ROW]
[ROW][C]0.71[/C][C]71.88[/C][C]71.88[/C][C]71.88[/C][C]71.88[/C][C]71.88[/C][C]71.88[/C][C]71.88[/C][C]71.88[/C][/ROW]
[ROW][C]0.72[/C][C]71.88[/C][C]71.88[/C][C]71.88[/C][C]71.88[/C][C]71.88[/C][C]71.88[/C][C]71.88[/C][C]71.88[/C][/ROW]
[ROW][C]0.73[/C][C]71.88[/C][C]73.6272[/C][C]71.88[/C][C]71.88[/C][C]72.192[/C][C]71.88[/C][C]73.2528[/C][C]75[/C][/ROW]
[ROW][C]0.74[/C][C]75[/C][C]75[/C][C]75[/C][C]75[/C][C]75[/C][C]75[/C][C]75[/C][C]75[/C][/ROW]
[ROW][C]0.75[/C][C]75[/C][C]75[/C][C]75[/C][C]75[/C][C]75[/C][C]75[/C][C]75[/C][C]75[/C][/ROW]
[ROW][C]0.76[/C][C]75[/C][C]75[/C][C]75[/C][C]75[/C][C]75[/C][C]75[/C][C]75[/C][C]75[/C][/ROW]
[ROW][C]0.77[/C][C]75[/C][C]75[/C][C]75[/C][C]75[/C][C]75[/C][C]75[/C][C]75[/C][C]75[/C][/ROW]
[ROW][C]0.78[/C][C]75[/C][C]75[/C][C]75[/C][C]75[/C][C]75[/C][C]75[/C][C]75[/C][C]75[/C][/ROW]
[ROW][C]0.79[/C][C]75[/C][C]75[/C][C]75[/C][C]75[/C][C]75[/C][C]75[/C][C]75[/C][C]75[/C][/ROW]
[ROW][C]0.8[/C][C]75[/C][C]76.878[/C][C]75[/C][C]75[/C][C]75[/C][C]75[/C][C]76.252[/C][C]78.13[/C][/ROW]
[ROW][C]0.81[/C][C]78.13[/C][C]78.13[/C][C]78.13[/C][C]78.13[/C][C]78.13[/C][C]78.13[/C][C]78.13[/C][C]78.13[/C][/ROW]
[ROW][C]0.82[/C][C]78.13[/C][C]78.13[/C][C]78.13[/C][C]78.13[/C][C]78.13[/C][C]78.13[/C][C]78.13[/C][C]78.13[/C][/ROW]
[ROW][C]0.83[/C][C]78.13[/C][C]78.13[/C][C]78.13[/C][C]78.13[/C][C]78.13[/C][C]78.13[/C][C]78.13[/C][C]78.13[/C][/ROW]
[ROW][C]0.84[/C][C]78.13[/C][C]78.13[/C][C]78.13[/C][C]78.13[/C][C]78.13[/C][C]78.13[/C][C]78.13[/C][C]78.13[/C][/ROW]
[ROW][C]0.85[/C][C]78.13[/C][C]78.13[/C][C]78.13[/C][C]78.13[/C][C]78.13[/C][C]78.13[/C][C]78.13[/C][C]78.13[/C][/ROW]
[ROW][C]0.86[/C][C]78.13[/C][C]78.13[/C][C]78.13[/C][C]78.13[/C][C]78.13[/C][C]78.13[/C][C]78.13[/C][C]78.13[/C][/ROW]
[ROW][C]0.87[/C][C]78.13[/C][C]78.13[/C][C]78.13[/C][C]78.13[/C][C]78.13[/C][C]78.13[/C][C]78.13[/C][C]78.13[/C][/ROW]
[ROW][C]0.88[/C][C]78.13[/C][C]79.2532[/C][C]78.13[/C][C]78.13[/C][C]78.13[/C][C]78.13[/C][C]80.1268[/C][C]78.13[/C][/ROW]
[ROW][C]0.89[/C][C]81.25[/C][C]81.25[/C][C]81.25[/C][C]81.25[/C][C]81.25[/C][C]81.25[/C][C]81.25[/C][C]81.25[/C][/ROW]
[ROW][C]0.9[/C][C]81.25[/C][C]81.25[/C][C]81.25[/C][C]81.25[/C][C]81.25[/C][C]81.25[/C][C]81.25[/C][C]81.25[/C][/ROW]
[ROW][C]0.91[/C][C]83.1593[/C][C]84.38[/C][C]84.38[/C][C]84.38[/C][C]83.441[/C][C]84.38[/C][C]84.38[/C][C]84.38[/C][/ROW]
[ROW][C]0.92[/C][C]84.38[/C][C]84.38[/C][C]84.38[/C][C]84.38[/C][C]84.38[/C][C]84.38[/C][C]84.38[/C][C]84.38[/C][/ROW]
[ROW][C]0.93[/C][C]84.38[/C][C]84.38[/C][C]84.38[/C][C]84.38[/C][C]84.38[/C][C]84.38[/C][C]84.38[/C][C]84.38[/C][/ROW]
[ROW][C]0.94[/C][C]84.38[/C][C]84.38[/C][C]84.38[/C][C]84.38[/C][C]84.38[/C][C]84.38[/C][C]84.38[/C][C]84.38[/C][/ROW]
[ROW][C]0.95[/C][C]85.784[/C][C]87.5[/C][C]87.5[/C][C]87.5[/C][C]85.94[/C][C]84.38[/C][C]87.5[/C][C]87.5[/C][/ROW]
[ROW][C]0.96[/C][C]87.5[/C][C]87.5[/C][C]87.5[/C][C]87.5[/C][C]87.5[/C][C]87.5[/C][C]87.5[/C][C]87.5[/C][/ROW]
[ROW][C]0.97[/C][C]87.5[/C][C]90.1292[/C][C]87.5[/C][C]87.5[/C][C]87.5[/C][C]87.5[/C][C]88.0008[/C][C]90.63[/C][/ROW]
[ROW][C]0.98[/C][C]90.63[/C][C]90.63[/C][C]90.63[/C][C]90.63[/C][C]90.63[/C][C]90.63[/C][C]90.63[/C][C]90.63[/C][/ROW]
[ROW][C]0.99[/C][C]91.5348[/C][C]93.75[/C][C]93.75[/C][C]93.75[/C][C]91.566[/C][C]90.63[/C][C]93.75[/C][C]93.75[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=265314&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=265314&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)
0.014.43754.56.256.258.4416.251.756.25
0.029.389.389.389.3810.6289.389.389.38
0.0312.512.512.512.512.512.512.512.5
0.0412.512.512.512.520.00412.512.512.5
0.0527.033527.50231.2531.2531.2531.2525.62831.25
0.0632.063832.251634.3834.3835.00431.2533.378431.25
0.0737.406437.625237.537.540.31737.540.504837.5
0.0840.6340.6340.6340.6340.6340.6340.6340.63
0.0941.846842.127643.7543.7543.7540.6342.252440.63
0.144.06344.37646.8846.8846.8843.7546.25443.75
0.1146.8846.8846.8846.8846.8846.8846.8846.88
0.1246.8846.8846.8846.8846.8846.8846.8846.88
0.1346.8846.8846.8846.8847.19246.8846.8846.88
0.1449.812850505050505050
0.155050505050505050
0.165050505050505050
0.175050505050505050
0.185050505050505050
0.195050505050505050
0.250.62651.25253.1353.1353.135051.87850
0.2153.1353.1353.1353.1353.1353.1353.1353.13
0.2253.1353.1353.1353.1353.1353.1353.1353.13
0.2353.1353.1353.1353.1353.1353.1353.1353.13
0.2453.1353.1353.1353.1353.1353.1353.1353.13
0.2555.4756.2556.2556.2556.2556.2556.2556.25
0.2656.2556.2556.2556.2556.2556.2556.2556.25
0.2756.2556.2556.2556.2556.2556.2556.2556.25
0.2856.2556.2556.2556.2556.2556.2556.2556.25
0.2956.2556.2556.2556.2556.2556.2556.2556.25
0.356.2556.2556.2556.2556.2556.2556.2556.25
0.3159.3859.3859.3859.3859.3859.3859.3859.38
0.3259.3859.3859.3859.3859.3859.3859.3859.38
0.3359.3859.3859.3859.3859.3859.3859.3859.38
0.3459.3859.3859.3859.3859.3859.3859.3859.38
0.3559.3859.3859.3859.3859.3859.3859.3859.38
0.3659.3859.3859.3859.3859.3859.3859.3859.38
0.3759.3859.3859.3859.3859.3859.3859.3859.38
0.3859.3859.3859.3859.3859.3859.3859.3859.38
0.3959.3859.629659.3859.3860.31659.3862.250459.38
0.462.562.562.562.562.562.562.562.5
0.4162.562.562.562.562.562.562.562.5
0.4262.562.562.562.562.562.562.562.5
0.4362.562.562.562.562.562.562.562.5
0.4462.562.562.562.562.562.562.562.5
0.4562.562.562.562.562.562.562.562.5
0.4662.562.562.562.562.562.562.562.5
0.4762.562.562.562.562.562.562.562.5
0.4862.562.562.562.562.562.562.562.5
0.4962.562.562.562.562.562.562.562.5
0.564.06565.6365.6365.6365.6365.6365.6365.63
0.5165.6365.6365.6365.6365.6365.6365.6365.63
0.5265.6365.6365.6365.6365.6365.6365.6365.63
0.5367.595668.7568.7568.7568.7568.7568.7568.75
0.5468.7568.7568.7568.7568.7568.7568.7568.75
0.5568.7568.7568.7568.7568.7568.7568.7568.75
0.5668.7568.7568.7568.7568.7568.7568.7568.75
0.5768.7568.7568.7568.7568.7568.7568.7568.75
0.5868.7568.7568.7568.7568.7568.7568.7568.75
0.5968.7568.7568.7568.7568.7568.7568.7568.75
0.668.7569.37668.7568.7568.7568.7571.25468.75
0.6171.8871.8871.8871.8871.8871.8871.8871.88
0.6271.8871.8871.8871.8871.8871.8871.8871.88
0.6371.8871.8871.8871.8871.8871.8871.8871.88
0.6471.8871.8871.8871.8871.8871.8871.8871.88
0.6571.8871.8871.8871.8871.8871.8871.8871.88
0.6671.8871.8871.8871.8871.8871.8871.8871.88
0.6771.8871.8871.8871.8871.8871.8871.8871.88
0.6871.8871.8871.8871.8871.8871.8871.8871.88
0.6971.8871.8871.8871.8871.8871.8871.8871.88
0.771.8871.8871.8871.8871.8871.8871.8871.88
0.7171.8871.8871.8871.8871.8871.8871.8871.88
0.7271.8871.8871.8871.8871.8871.8871.8871.88
0.7371.8873.627271.8871.8872.19271.8873.252875
0.747575757575757575
0.757575757575757575
0.767575757575757575
0.777575757575757575
0.787575757575757575
0.797575757575757575
0.87576.8787575757576.25278.13
0.8178.1378.1378.1378.1378.1378.1378.1378.13
0.8278.1378.1378.1378.1378.1378.1378.1378.13
0.8378.1378.1378.1378.1378.1378.1378.1378.13
0.8478.1378.1378.1378.1378.1378.1378.1378.13
0.8578.1378.1378.1378.1378.1378.1378.1378.13
0.8678.1378.1378.1378.1378.1378.1378.1378.13
0.8778.1378.1378.1378.1378.1378.1378.1378.13
0.8878.1379.253278.1378.1378.1378.1380.126878.13
0.8981.2581.2581.2581.2581.2581.2581.2581.25
0.981.2581.2581.2581.2581.2581.2581.2581.25
0.9183.159384.3884.3884.3883.44184.3884.3884.38
0.9284.3884.3884.3884.3884.3884.3884.3884.38
0.9384.3884.3884.3884.3884.3884.3884.3884.38
0.9484.3884.3884.3884.3884.3884.3884.3884.38
0.9585.78487.587.587.585.9484.3887.587.5
0.9687.587.587.587.587.587.587.587.5
0.9787.590.129287.587.587.587.588.000890.63
0.9890.6390.6390.6390.6390.6390.6390.6390.63
0.9991.534893.7593.7593.7591.56690.6393.7593.75



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')