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 13:10:19 +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/t1418217033zi1ihppx6d78mw6.htm/, Retrieved Sun, 19 May 2024 16:09:07 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=265098, Retrieved Sun, 19 May 2024 16:09:07 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact55
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Histogram] [1.1 AMSI - histogram] [2014-12-09 11:36:56] [4d39cf209776852399955073f9d0ee7a]
- RMPD  [Percentiles] [1.1 Normal Q-Q pl...] [2014-12-10 11:54:39] [765bd0d5d4a0c852014c120c6930661d]
- R  D    [Percentiles] [1.1 AMSE : Normal...] [2014-12-10 13:03:38] [765bd0d5d4a0c852014c120c6930661d]
-    D        [Percentiles] [1.1 AMSE : Normal...] [2014-12-10 13:10:19] [706bcb1d0c5210dc074174906fafd7a3] [Current]
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Post a new message
Dataseries X:
NA
NA
NA
NA
57
NA
NA
63
NA
65
47
NA
NA
NA
NA
NA
NA
NA
NA
68
NA
NA
NA
NA
NA
NA
71
NA
NA
NA
NA
NA
59
68
48
NA
59
60
59
NA
79
NA
NA
59
NA
NA
NA
71
57
66
63
NA
58
NA
48
NA
73
NA
61
68
NA
62
NA
NA
NA
NA
NA
62
NA
69
58
58
NA
72
NA
62
65
69
66
NA
NA
NA
NA
66
55
NA
72
62
64
64
NA
NA
68
70
NA
69
NA
NA
NA
73
NA
NA
NA
74
78
75
NA
NA
50
NA
NA
65
78
78
NA
NA
70
63
63
NA
NA
67
66
62
NA
NA
NA
NA
73
NA
NA
NA
69
84
NA
58
NA
NA
NA
57
NA
68
NA
NA
69
NA
60
NA
66
NA
81
72
NA
NA
74
NA
NA
65
NA
51
80
NA
NA
74
NA
70
69
NA
55
71
NA
NA
NA
69
NA
NA
NA
NA
63
NA
39
68
NA
68
NA
67
70
NA
66
NA
NA
59
62
75
NA
73
NA
NA
NA
NA
73
NA
61
NA
63
78
65
77
69
68
NA
NA
NA
76
67
69
59
73
NA
NA
NA
NA
78
NA
68
NA
NA
68
NA
67
55
73
66
75
77
NA
75
57
NA
NA
NA
NA
66
NA
NA
60
64
74
59
NA
69
63
73
55
77
70
NA
NA
NA
66
77
NA
78
NA
NA
NA
NA
NA
72
50
72
71
80
NA
64
69
NA
75
79
NA
60
NA
NA
53
NA
69
NA
68
NA
NA
NA
73
NA
NA
64
NA
NA
NA
NA
79
NA
76
66
NA
57
NA
NA
58
74
NA
NA
NA
NA
62
NA
NA
NA
NA
66
66
NA
65
NA
NA
66
NA
77
NA
65
67
NA
NA
NA
NA
84
58
NA
75
NA
72
NA
NA
NA
NA
NA
NA
NA
NA
75
NA
72
75
NA
NA
NA
NA
NA
NA
NA
72
NA
NA
NA
72
NA
NA
NA
NA
75
NA
NA
66
73
NA
NA
NA
NA
70
NA
64
NA
NA
NA
NA
NA
NA
NA
NA
NA
NA
NA
NA
NA
NA
NA
NA
NA
NA




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=265098&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=265098&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=265098&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)
0.0144.5244.6474747.684741.447
0.024848484848.72484848
0.035050505050.04505050
0.0450.7650.8515152.445150.251
0.0553.954555555535454
0.065555555555555555
0.075555555556.52555555
0.085757575757575757
0.095757575757575757
0.15757575757.8575757
0.115858585858585858
0.125858585858585858
0.135858585858585858
0.1458.6658.85959595958.259
0.155959595959595959
0.165959595959595959
0.175959595959595959
0.1859.4259.66060605959.460
0.196060606060606060
0.26060606060.6606060
0.216161616161.28616161
0.226262626262626262
0.236262626262626262
0.246262626262626262
0.256262626262626262
0.2662.9463636363636363
0.276363636363636363
0.286363636363636363
0.296363636363636363
0.363.764646464646464
0.316464646464646464
0.326464646464646464
0.336464.1646464.446464.964
0.346565656565656565
0.356565656565656565
0.366565656565656565
0.376565656565.16656565
0.386666666666666666
0.396666666666666666
0.46666666666666666
0.416666666666666666
0.426666666666666666
0.436666666666666666
0.446666666666666666
0.456666666666666666
0.4666.7467676767676767
0.476767676767676767
0.486767676767676767
0.4967.8168686868686868
0.56868686868686868
0.516868686868686868
0.526868686868686868
0.536868686868686868
0.546868686868686868
0.556868.5686868.46868.569
0.566969696969696969
0.576969696969696969
0.586969696969696969
0.596969696969696969
0.66969696969696969
0.616969696969696969
0.626969.4696969.166969.669
0.637070707070707070
0.647070707070707070
0.657070707070707070
0.6670.5471717170.88717171
0.677171717171717171
0.687171.6717171.247171.472
0.697272727272727272
0.77272727272727272
0.717272727272727272
0.727272727272727272
0.737272.17272727272.972
0.747373737373737373
0.757373737373737373
0.767373737373737373
0.777373737373737373
0.787373737373737373
0.797373.37373737373.773
0.87474747474747474
0.817474747474747474
0.827474.47474747474.674
0.837575757575757575
0.847575757575757575
0.857575757575757575
0.867575757575757575
0.877575757575757575
0.8875.7276767675.84767676
0.8976.4177777776.52767777
0.97777777777777777
0.917777777777777777
0.9277.4878787877.56777878
0.937878787878787878
0.947878787878787878
0.957878.57878787878.578.5
0.967979797979797979
0.977979.97979797979.180
0.988080.68080808080.481
0.9981.9384848481.96818484

\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 & 44.52 & 44.6 & 47 & 47 & 47.68 & 47 & 41.4 & 47 \tabularnewline
0.02 & 48 & 48 & 48 & 48 & 48.72 & 48 & 48 & 48 \tabularnewline
0.03 & 50 & 50 & 50 & 50 & 50.04 & 50 & 50 & 50 \tabularnewline
0.04 & 50.76 & 50.8 & 51 & 51 & 52.44 & 51 & 50.2 & 51 \tabularnewline
0.05 & 53.9 & 54 & 55 & 55 & 55 & 53 & 54 & 54 \tabularnewline
0.06 & 55 & 55 & 55 & 55 & 55 & 55 & 55 & 55 \tabularnewline
0.07 & 55 & 55 & 55 & 55 & 56.52 & 55 & 55 & 55 \tabularnewline
0.08 & 57 & 57 & 57 & 57 & 57 & 57 & 57 & 57 \tabularnewline
0.09 & 57 & 57 & 57 & 57 & 57 & 57 & 57 & 57 \tabularnewline
0.1 & 57 & 57 & 57 & 57 & 57.8 & 57 & 57 & 57 \tabularnewline
0.11 & 58 & 58 & 58 & 58 & 58 & 58 & 58 & 58 \tabularnewline
0.12 & 58 & 58 & 58 & 58 & 58 & 58 & 58 & 58 \tabularnewline
0.13 & 58 & 58 & 58 & 58 & 58 & 58 & 58 & 58 \tabularnewline
0.14 & 58.66 & 58.8 & 59 & 59 & 59 & 59 & 58.2 & 59 \tabularnewline
0.15 & 59 & 59 & 59 & 59 & 59 & 59 & 59 & 59 \tabularnewline
0.16 & 59 & 59 & 59 & 59 & 59 & 59 & 59 & 59 \tabularnewline
0.17 & 59 & 59 & 59 & 59 & 59 & 59 & 59 & 59 \tabularnewline
0.18 & 59.42 & 59.6 & 60 & 60 & 60 & 59 & 59.4 & 60 \tabularnewline
0.19 & 60 & 60 & 60 & 60 & 60 & 60 & 60 & 60 \tabularnewline
0.2 & 60 & 60 & 60 & 60 & 60.6 & 60 & 60 & 60 \tabularnewline
0.21 & 61 & 61 & 61 & 61 & 61.28 & 61 & 61 & 61 \tabularnewline
0.22 & 62 & 62 & 62 & 62 & 62 & 62 & 62 & 62 \tabularnewline
0.23 & 62 & 62 & 62 & 62 & 62 & 62 & 62 & 62 \tabularnewline
0.24 & 62 & 62 & 62 & 62 & 62 & 62 & 62 & 62 \tabularnewline
0.25 & 62 & 62 & 62 & 62 & 62 & 62 & 62 & 62 \tabularnewline
0.26 & 62.94 & 63 & 63 & 63 & 63 & 63 & 63 & 63 \tabularnewline
0.27 & 63 & 63 & 63 & 63 & 63 & 63 & 63 & 63 \tabularnewline
0.28 & 63 & 63 & 63 & 63 & 63 & 63 & 63 & 63 \tabularnewline
0.29 & 63 & 63 & 63 & 63 & 63 & 63 & 63 & 63 \tabularnewline
0.3 & 63.7 & 64 & 64 & 64 & 64 & 64 & 64 & 64 \tabularnewline
0.31 & 64 & 64 & 64 & 64 & 64 & 64 & 64 & 64 \tabularnewline
0.32 & 64 & 64 & 64 & 64 & 64 & 64 & 64 & 64 \tabularnewline
0.33 & 64 & 64.1 & 64 & 64 & 64.44 & 64 & 64.9 & 64 \tabularnewline
0.34 & 65 & 65 & 65 & 65 & 65 & 65 & 65 & 65 \tabularnewline
0.35 & 65 & 65 & 65 & 65 & 65 & 65 & 65 & 65 \tabularnewline
0.36 & 65 & 65 & 65 & 65 & 65 & 65 & 65 & 65 \tabularnewline
0.37 & 65 & 65 & 65 & 65 & 65.16 & 65 & 65 & 65 \tabularnewline
0.38 & 66 & 66 & 66 & 66 & 66 & 66 & 66 & 66 \tabularnewline
0.39 & 66 & 66 & 66 & 66 & 66 & 66 & 66 & 66 \tabularnewline
0.4 & 66 & 66 & 66 & 66 & 66 & 66 & 66 & 66 \tabularnewline
0.41 & 66 & 66 & 66 & 66 & 66 & 66 & 66 & 66 \tabularnewline
0.42 & 66 & 66 & 66 & 66 & 66 & 66 & 66 & 66 \tabularnewline
0.43 & 66 & 66 & 66 & 66 & 66 & 66 & 66 & 66 \tabularnewline
0.44 & 66 & 66 & 66 & 66 & 66 & 66 & 66 & 66 \tabularnewline
0.45 & 66 & 66 & 66 & 66 & 66 & 66 & 66 & 66 \tabularnewline
0.46 & 66.74 & 67 & 67 & 67 & 67 & 67 & 67 & 67 \tabularnewline
0.47 & 67 & 67 & 67 & 67 & 67 & 67 & 67 & 67 \tabularnewline
0.48 & 67 & 67 & 67 & 67 & 67 & 67 & 67 & 67 \tabularnewline
0.49 & 67.81 & 68 & 68 & 68 & 68 & 68 & 68 & 68 \tabularnewline
0.5 & 68 & 68 & 68 & 68 & 68 & 68 & 68 & 68 \tabularnewline
0.51 & 68 & 68 & 68 & 68 & 68 & 68 & 68 & 68 \tabularnewline
0.52 & 68 & 68 & 68 & 68 & 68 & 68 & 68 & 68 \tabularnewline
0.53 & 68 & 68 & 68 & 68 & 68 & 68 & 68 & 68 \tabularnewline
0.54 & 68 & 68 & 68 & 68 & 68 & 68 & 68 & 68 \tabularnewline
0.55 & 68 & 68.5 & 68 & 68 & 68.4 & 68 & 68.5 & 69 \tabularnewline
0.56 & 69 & 69 & 69 & 69 & 69 & 69 & 69 & 69 \tabularnewline
0.57 & 69 & 69 & 69 & 69 & 69 & 69 & 69 & 69 \tabularnewline
0.58 & 69 & 69 & 69 & 69 & 69 & 69 & 69 & 69 \tabularnewline
0.59 & 69 & 69 & 69 & 69 & 69 & 69 & 69 & 69 \tabularnewline
0.6 & 69 & 69 & 69 & 69 & 69 & 69 & 69 & 69 \tabularnewline
0.61 & 69 & 69 & 69 & 69 & 69 & 69 & 69 & 69 \tabularnewline
0.62 & 69 & 69.4 & 69 & 69 & 69.16 & 69 & 69.6 & 69 \tabularnewline
0.63 & 70 & 70 & 70 & 70 & 70 & 70 & 70 & 70 \tabularnewline
0.64 & 70 & 70 & 70 & 70 & 70 & 70 & 70 & 70 \tabularnewline
0.65 & 70 & 70 & 70 & 70 & 70 & 70 & 70 & 70 \tabularnewline
0.66 & 70.54 & 71 & 71 & 71 & 70.88 & 71 & 71 & 71 \tabularnewline
0.67 & 71 & 71 & 71 & 71 & 71 & 71 & 71 & 71 \tabularnewline
0.68 & 71 & 71.6 & 71 & 71 & 71.24 & 71 & 71.4 & 72 \tabularnewline
0.69 & 72 & 72 & 72 & 72 & 72 & 72 & 72 & 72 \tabularnewline
0.7 & 72 & 72 & 72 & 72 & 72 & 72 & 72 & 72 \tabularnewline
0.71 & 72 & 72 & 72 & 72 & 72 & 72 & 72 & 72 \tabularnewline
0.72 & 72 & 72 & 72 & 72 & 72 & 72 & 72 & 72 \tabularnewline
0.73 & 72 & 72.1 & 72 & 72 & 72 & 72 & 72.9 & 72 \tabularnewline
0.74 & 73 & 73 & 73 & 73 & 73 & 73 & 73 & 73 \tabularnewline
0.75 & 73 & 73 & 73 & 73 & 73 & 73 & 73 & 73 \tabularnewline
0.76 & 73 & 73 & 73 & 73 & 73 & 73 & 73 & 73 \tabularnewline
0.77 & 73 & 73 & 73 & 73 & 73 & 73 & 73 & 73 \tabularnewline
0.78 & 73 & 73 & 73 & 73 & 73 & 73 & 73 & 73 \tabularnewline
0.79 & 73 & 73.3 & 73 & 73 & 73 & 73 & 73.7 & 73 \tabularnewline
0.8 & 74 & 74 & 74 & 74 & 74 & 74 & 74 & 74 \tabularnewline
0.81 & 74 & 74 & 74 & 74 & 74 & 74 & 74 & 74 \tabularnewline
0.82 & 74 & 74.4 & 74 & 74 & 74 & 74 & 74.6 & 74 \tabularnewline
0.83 & 75 & 75 & 75 & 75 & 75 & 75 & 75 & 75 \tabularnewline
0.84 & 75 & 75 & 75 & 75 & 75 & 75 & 75 & 75 \tabularnewline
0.85 & 75 & 75 & 75 & 75 & 75 & 75 & 75 & 75 \tabularnewline
0.86 & 75 & 75 & 75 & 75 & 75 & 75 & 75 & 75 \tabularnewline
0.87 & 75 & 75 & 75 & 75 & 75 & 75 & 75 & 75 \tabularnewline
0.88 & 75.72 & 76 & 76 & 76 & 75.84 & 76 & 76 & 76 \tabularnewline
0.89 & 76.41 & 77 & 77 & 77 & 76.52 & 76 & 77 & 77 \tabularnewline
0.9 & 77 & 77 & 77 & 77 & 77 & 77 & 77 & 77 \tabularnewline
0.91 & 77 & 77 & 77 & 77 & 77 & 77 & 77 & 77 \tabularnewline
0.92 & 77.48 & 78 & 78 & 78 & 77.56 & 77 & 78 & 78 \tabularnewline
0.93 & 78 & 78 & 78 & 78 & 78 & 78 & 78 & 78 \tabularnewline
0.94 & 78 & 78 & 78 & 78 & 78 & 78 & 78 & 78 \tabularnewline
0.95 & 78 & 78.5 & 78 & 78 & 78 & 78 & 78.5 & 78.5 \tabularnewline
0.96 & 79 & 79 & 79 & 79 & 79 & 79 & 79 & 79 \tabularnewline
0.97 & 79 & 79.9 & 79 & 79 & 79 & 79 & 79.1 & 80 \tabularnewline
0.98 & 80 & 80.6 & 80 & 80 & 80 & 80 & 80.4 & 81 \tabularnewline
0.99 & 81.93 & 84 & 84 & 84 & 81.96 & 81 & 84 & 84 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=265098&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]44.52[/C][C]44.6[/C][C]47[/C][C]47[/C][C]47.68[/C][C]47[/C][C]41.4[/C][C]47[/C][/ROW]
[ROW][C]0.02[/C][C]48[/C][C]48[/C][C]48[/C][C]48[/C][C]48.72[/C][C]48[/C][C]48[/C][C]48[/C][/ROW]
[ROW][C]0.03[/C][C]50[/C][C]50[/C][C]50[/C][C]50[/C][C]50.04[/C][C]50[/C][C]50[/C][C]50[/C][/ROW]
[ROW][C]0.04[/C][C]50.76[/C][C]50.8[/C][C]51[/C][C]51[/C][C]52.44[/C][C]51[/C][C]50.2[/C][C]51[/C][/ROW]
[ROW][C]0.05[/C][C]53.9[/C][C]54[/C][C]55[/C][C]55[/C][C]55[/C][C]53[/C][C]54[/C][C]54[/C][/ROW]
[ROW][C]0.06[/C][C]55[/C][C]55[/C][C]55[/C][C]55[/C][C]55[/C][C]55[/C][C]55[/C][C]55[/C][/ROW]
[ROW][C]0.07[/C][C]55[/C][C]55[/C][C]55[/C][C]55[/C][C]56.52[/C][C]55[/C][C]55[/C][C]55[/C][/ROW]
[ROW][C]0.08[/C][C]57[/C][C]57[/C][C]57[/C][C]57[/C][C]57[/C][C]57[/C][C]57[/C][C]57[/C][/ROW]
[ROW][C]0.09[/C][C]57[/C][C]57[/C][C]57[/C][C]57[/C][C]57[/C][C]57[/C][C]57[/C][C]57[/C][/ROW]
[ROW][C]0.1[/C][C]57[/C][C]57[/C][C]57[/C][C]57[/C][C]57.8[/C][C]57[/C][C]57[/C][C]57[/C][/ROW]
[ROW][C]0.11[/C][C]58[/C][C]58[/C][C]58[/C][C]58[/C][C]58[/C][C]58[/C][C]58[/C][C]58[/C][/ROW]
[ROW][C]0.12[/C][C]58[/C][C]58[/C][C]58[/C][C]58[/C][C]58[/C][C]58[/C][C]58[/C][C]58[/C][/ROW]
[ROW][C]0.13[/C][C]58[/C][C]58[/C][C]58[/C][C]58[/C][C]58[/C][C]58[/C][C]58[/C][C]58[/C][/ROW]
[ROW][C]0.14[/C][C]58.66[/C][C]58.8[/C][C]59[/C][C]59[/C][C]59[/C][C]59[/C][C]58.2[/C][C]59[/C][/ROW]
[ROW][C]0.15[/C][C]59[/C][C]59[/C][C]59[/C][C]59[/C][C]59[/C][C]59[/C][C]59[/C][C]59[/C][/ROW]
[ROW][C]0.16[/C][C]59[/C][C]59[/C][C]59[/C][C]59[/C][C]59[/C][C]59[/C][C]59[/C][C]59[/C][/ROW]
[ROW][C]0.17[/C][C]59[/C][C]59[/C][C]59[/C][C]59[/C][C]59[/C][C]59[/C][C]59[/C][C]59[/C][/ROW]
[ROW][C]0.18[/C][C]59.42[/C][C]59.6[/C][C]60[/C][C]60[/C][C]60[/C][C]59[/C][C]59.4[/C][C]60[/C][/ROW]
[ROW][C]0.19[/C][C]60[/C][C]60[/C][C]60[/C][C]60[/C][C]60[/C][C]60[/C][C]60[/C][C]60[/C][/ROW]
[ROW][C]0.2[/C][C]60[/C][C]60[/C][C]60[/C][C]60[/C][C]60.6[/C][C]60[/C][C]60[/C][C]60[/C][/ROW]
[ROW][C]0.21[/C][C]61[/C][C]61[/C][C]61[/C][C]61[/C][C]61.28[/C][C]61[/C][C]61[/C][C]61[/C][/ROW]
[ROW][C]0.22[/C][C]62[/C][C]62[/C][C]62[/C][C]62[/C][C]62[/C][C]62[/C][C]62[/C][C]62[/C][/ROW]
[ROW][C]0.23[/C][C]62[/C][C]62[/C][C]62[/C][C]62[/C][C]62[/C][C]62[/C][C]62[/C][C]62[/C][/ROW]
[ROW][C]0.24[/C][C]62[/C][C]62[/C][C]62[/C][C]62[/C][C]62[/C][C]62[/C][C]62[/C][C]62[/C][/ROW]
[ROW][C]0.25[/C][C]62[/C][C]62[/C][C]62[/C][C]62[/C][C]62[/C][C]62[/C][C]62[/C][C]62[/C][/ROW]
[ROW][C]0.26[/C][C]62.94[/C][C]63[/C][C]63[/C][C]63[/C][C]63[/C][C]63[/C][C]63[/C][C]63[/C][/ROW]
[ROW][C]0.27[/C][C]63[/C][C]63[/C][C]63[/C][C]63[/C][C]63[/C][C]63[/C][C]63[/C][C]63[/C][/ROW]
[ROW][C]0.28[/C][C]63[/C][C]63[/C][C]63[/C][C]63[/C][C]63[/C][C]63[/C][C]63[/C][C]63[/C][/ROW]
[ROW][C]0.29[/C][C]63[/C][C]63[/C][C]63[/C][C]63[/C][C]63[/C][C]63[/C][C]63[/C][C]63[/C][/ROW]
[ROW][C]0.3[/C][C]63.7[/C][C]64[/C][C]64[/C][C]64[/C][C]64[/C][C]64[/C][C]64[/C][C]64[/C][/ROW]
[ROW][C]0.31[/C][C]64[/C][C]64[/C][C]64[/C][C]64[/C][C]64[/C][C]64[/C][C]64[/C][C]64[/C][/ROW]
[ROW][C]0.32[/C][C]64[/C][C]64[/C][C]64[/C][C]64[/C][C]64[/C][C]64[/C][C]64[/C][C]64[/C][/ROW]
[ROW][C]0.33[/C][C]64[/C][C]64.1[/C][C]64[/C][C]64[/C][C]64.44[/C][C]64[/C][C]64.9[/C][C]64[/C][/ROW]
[ROW][C]0.34[/C][C]65[/C][C]65[/C][C]65[/C][C]65[/C][C]65[/C][C]65[/C][C]65[/C][C]65[/C][/ROW]
[ROW][C]0.35[/C][C]65[/C][C]65[/C][C]65[/C][C]65[/C][C]65[/C][C]65[/C][C]65[/C][C]65[/C][/ROW]
[ROW][C]0.36[/C][C]65[/C][C]65[/C][C]65[/C][C]65[/C][C]65[/C][C]65[/C][C]65[/C][C]65[/C][/ROW]
[ROW][C]0.37[/C][C]65[/C][C]65[/C][C]65[/C][C]65[/C][C]65.16[/C][C]65[/C][C]65[/C][C]65[/C][/ROW]
[ROW][C]0.38[/C][C]66[/C][C]66[/C][C]66[/C][C]66[/C][C]66[/C][C]66[/C][C]66[/C][C]66[/C][/ROW]
[ROW][C]0.39[/C][C]66[/C][C]66[/C][C]66[/C][C]66[/C][C]66[/C][C]66[/C][C]66[/C][C]66[/C][/ROW]
[ROW][C]0.4[/C][C]66[/C][C]66[/C][C]66[/C][C]66[/C][C]66[/C][C]66[/C][C]66[/C][C]66[/C][/ROW]
[ROW][C]0.41[/C][C]66[/C][C]66[/C][C]66[/C][C]66[/C][C]66[/C][C]66[/C][C]66[/C][C]66[/C][/ROW]
[ROW][C]0.42[/C][C]66[/C][C]66[/C][C]66[/C][C]66[/C][C]66[/C][C]66[/C][C]66[/C][C]66[/C][/ROW]
[ROW][C]0.43[/C][C]66[/C][C]66[/C][C]66[/C][C]66[/C][C]66[/C][C]66[/C][C]66[/C][C]66[/C][/ROW]
[ROW][C]0.44[/C][C]66[/C][C]66[/C][C]66[/C][C]66[/C][C]66[/C][C]66[/C][C]66[/C][C]66[/C][/ROW]
[ROW][C]0.45[/C][C]66[/C][C]66[/C][C]66[/C][C]66[/C][C]66[/C][C]66[/C][C]66[/C][C]66[/C][/ROW]
[ROW][C]0.46[/C][C]66.74[/C][C]67[/C][C]67[/C][C]67[/C][C]67[/C][C]67[/C][C]67[/C][C]67[/C][/ROW]
[ROW][C]0.47[/C][C]67[/C][C]67[/C][C]67[/C][C]67[/C][C]67[/C][C]67[/C][C]67[/C][C]67[/C][/ROW]
[ROW][C]0.48[/C][C]67[/C][C]67[/C][C]67[/C][C]67[/C][C]67[/C][C]67[/C][C]67[/C][C]67[/C][/ROW]
[ROW][C]0.49[/C][C]67.81[/C][C]68[/C][C]68[/C][C]68[/C][C]68[/C][C]68[/C][C]68[/C][C]68[/C][/ROW]
[ROW][C]0.5[/C][C]68[/C][C]68[/C][C]68[/C][C]68[/C][C]68[/C][C]68[/C][C]68[/C][C]68[/C][/ROW]
[ROW][C]0.51[/C][C]68[/C][C]68[/C][C]68[/C][C]68[/C][C]68[/C][C]68[/C][C]68[/C][C]68[/C][/ROW]
[ROW][C]0.52[/C][C]68[/C][C]68[/C][C]68[/C][C]68[/C][C]68[/C][C]68[/C][C]68[/C][C]68[/C][/ROW]
[ROW][C]0.53[/C][C]68[/C][C]68[/C][C]68[/C][C]68[/C][C]68[/C][C]68[/C][C]68[/C][C]68[/C][/ROW]
[ROW][C]0.54[/C][C]68[/C][C]68[/C][C]68[/C][C]68[/C][C]68[/C][C]68[/C][C]68[/C][C]68[/C][/ROW]
[ROW][C]0.55[/C][C]68[/C][C]68.5[/C][C]68[/C][C]68[/C][C]68.4[/C][C]68[/C][C]68.5[/C][C]69[/C][/ROW]
[ROW][C]0.56[/C][C]69[/C][C]69[/C][C]69[/C][C]69[/C][C]69[/C][C]69[/C][C]69[/C][C]69[/C][/ROW]
[ROW][C]0.57[/C][C]69[/C][C]69[/C][C]69[/C][C]69[/C][C]69[/C][C]69[/C][C]69[/C][C]69[/C][/ROW]
[ROW][C]0.58[/C][C]69[/C][C]69[/C][C]69[/C][C]69[/C][C]69[/C][C]69[/C][C]69[/C][C]69[/C][/ROW]
[ROW][C]0.59[/C][C]69[/C][C]69[/C][C]69[/C][C]69[/C][C]69[/C][C]69[/C][C]69[/C][C]69[/C][/ROW]
[ROW][C]0.6[/C][C]69[/C][C]69[/C][C]69[/C][C]69[/C][C]69[/C][C]69[/C][C]69[/C][C]69[/C][/ROW]
[ROW][C]0.61[/C][C]69[/C][C]69[/C][C]69[/C][C]69[/C][C]69[/C][C]69[/C][C]69[/C][C]69[/C][/ROW]
[ROW][C]0.62[/C][C]69[/C][C]69.4[/C][C]69[/C][C]69[/C][C]69.16[/C][C]69[/C][C]69.6[/C][C]69[/C][/ROW]
[ROW][C]0.63[/C][C]70[/C][C]70[/C][C]70[/C][C]70[/C][C]70[/C][C]70[/C][C]70[/C][C]70[/C][/ROW]
[ROW][C]0.64[/C][C]70[/C][C]70[/C][C]70[/C][C]70[/C][C]70[/C][C]70[/C][C]70[/C][C]70[/C][/ROW]
[ROW][C]0.65[/C][C]70[/C][C]70[/C][C]70[/C][C]70[/C][C]70[/C][C]70[/C][C]70[/C][C]70[/C][/ROW]
[ROW][C]0.66[/C][C]70.54[/C][C]71[/C][C]71[/C][C]71[/C][C]70.88[/C][C]71[/C][C]71[/C][C]71[/C][/ROW]
[ROW][C]0.67[/C][C]71[/C][C]71[/C][C]71[/C][C]71[/C][C]71[/C][C]71[/C][C]71[/C][C]71[/C][/ROW]
[ROW][C]0.68[/C][C]71[/C][C]71.6[/C][C]71[/C][C]71[/C][C]71.24[/C][C]71[/C][C]71.4[/C][C]72[/C][/ROW]
[ROW][C]0.69[/C][C]72[/C][C]72[/C][C]72[/C][C]72[/C][C]72[/C][C]72[/C][C]72[/C][C]72[/C][/ROW]
[ROW][C]0.7[/C][C]72[/C][C]72[/C][C]72[/C][C]72[/C][C]72[/C][C]72[/C][C]72[/C][C]72[/C][/ROW]
[ROW][C]0.71[/C][C]72[/C][C]72[/C][C]72[/C][C]72[/C][C]72[/C][C]72[/C][C]72[/C][C]72[/C][/ROW]
[ROW][C]0.72[/C][C]72[/C][C]72[/C][C]72[/C][C]72[/C][C]72[/C][C]72[/C][C]72[/C][C]72[/C][/ROW]
[ROW][C]0.73[/C][C]72[/C][C]72.1[/C][C]72[/C][C]72[/C][C]72[/C][C]72[/C][C]72.9[/C][C]72[/C][/ROW]
[ROW][C]0.74[/C][C]73[/C][C]73[/C][C]73[/C][C]73[/C][C]73[/C][C]73[/C][C]73[/C][C]73[/C][/ROW]
[ROW][C]0.75[/C][C]73[/C][C]73[/C][C]73[/C][C]73[/C][C]73[/C][C]73[/C][C]73[/C][C]73[/C][/ROW]
[ROW][C]0.76[/C][C]73[/C][C]73[/C][C]73[/C][C]73[/C][C]73[/C][C]73[/C][C]73[/C][C]73[/C][/ROW]
[ROW][C]0.77[/C][C]73[/C][C]73[/C][C]73[/C][C]73[/C][C]73[/C][C]73[/C][C]73[/C][C]73[/C][/ROW]
[ROW][C]0.78[/C][C]73[/C][C]73[/C][C]73[/C][C]73[/C][C]73[/C][C]73[/C][C]73[/C][C]73[/C][/ROW]
[ROW][C]0.79[/C][C]73[/C][C]73.3[/C][C]73[/C][C]73[/C][C]73[/C][C]73[/C][C]73.7[/C][C]73[/C][/ROW]
[ROW][C]0.8[/C][C]74[/C][C]74[/C][C]74[/C][C]74[/C][C]74[/C][C]74[/C][C]74[/C][C]74[/C][/ROW]
[ROW][C]0.81[/C][C]74[/C][C]74[/C][C]74[/C][C]74[/C][C]74[/C][C]74[/C][C]74[/C][C]74[/C][/ROW]
[ROW][C]0.82[/C][C]74[/C][C]74.4[/C][C]74[/C][C]74[/C][C]74[/C][C]74[/C][C]74.6[/C][C]74[/C][/ROW]
[ROW][C]0.83[/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]0.84[/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]0.85[/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]0.86[/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]0.87[/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]0.88[/C][C]75.72[/C][C]76[/C][C]76[/C][C]76[/C][C]75.84[/C][C]76[/C][C]76[/C][C]76[/C][/ROW]
[ROW][C]0.89[/C][C]76.41[/C][C]77[/C][C]77[/C][C]77[/C][C]76.52[/C][C]76[/C][C]77[/C][C]77[/C][/ROW]
[ROW][C]0.9[/C][C]77[/C][C]77[/C][C]77[/C][C]77[/C][C]77[/C][C]77[/C][C]77[/C][C]77[/C][/ROW]
[ROW][C]0.91[/C][C]77[/C][C]77[/C][C]77[/C][C]77[/C][C]77[/C][C]77[/C][C]77[/C][C]77[/C][/ROW]
[ROW][C]0.92[/C][C]77.48[/C][C]78[/C][C]78[/C][C]78[/C][C]77.56[/C][C]77[/C][C]78[/C][C]78[/C][/ROW]
[ROW][C]0.93[/C][C]78[/C][C]78[/C][C]78[/C][C]78[/C][C]78[/C][C]78[/C][C]78[/C][C]78[/C][/ROW]
[ROW][C]0.94[/C][C]78[/C][C]78[/C][C]78[/C][C]78[/C][C]78[/C][C]78[/C][C]78[/C][C]78[/C][/ROW]
[ROW][C]0.95[/C][C]78[/C][C]78.5[/C][C]78[/C][C]78[/C][C]78[/C][C]78[/C][C]78.5[/C][C]78.5[/C][/ROW]
[ROW][C]0.96[/C][C]79[/C][C]79[/C][C]79[/C][C]79[/C][C]79[/C][C]79[/C][C]79[/C][C]79[/C][/ROW]
[ROW][C]0.97[/C][C]79[/C][C]79.9[/C][C]79[/C][C]79[/C][C]79[/C][C]79[/C][C]79.1[/C][C]80[/C][/ROW]
[ROW][C]0.98[/C][C]80[/C][C]80.6[/C][C]80[/C][C]80[/C][C]80[/C][C]80[/C][C]80.4[/C][C]81[/C][/ROW]
[ROW][C]0.99[/C][C]81.93[/C][C]84[/C][C]84[/C][C]84[/C][C]81.96[/C][C]81[/C][C]84[/C][C]84[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=265098&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=265098&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)
0.0144.5244.6474747.684741.447
0.024848484848.72484848
0.035050505050.04505050
0.0450.7650.8515152.445150.251
0.0553.954555555535454
0.065555555555555555
0.075555555556.52555555
0.085757575757575757
0.095757575757575757
0.15757575757.8575757
0.115858585858585858
0.125858585858585858
0.135858585858585858
0.1458.6658.85959595958.259
0.155959595959595959
0.165959595959595959
0.175959595959595959
0.1859.4259.66060605959.460
0.196060606060606060
0.26060606060.6606060
0.216161616161.28616161
0.226262626262626262
0.236262626262626262
0.246262626262626262
0.256262626262626262
0.2662.9463636363636363
0.276363636363636363
0.286363636363636363
0.296363636363636363
0.363.764646464646464
0.316464646464646464
0.326464646464646464
0.336464.1646464.446464.964
0.346565656565656565
0.356565656565656565
0.366565656565656565
0.376565656565.16656565
0.386666666666666666
0.396666666666666666
0.46666666666666666
0.416666666666666666
0.426666666666666666
0.436666666666666666
0.446666666666666666
0.456666666666666666
0.4666.7467676767676767
0.476767676767676767
0.486767676767676767
0.4967.8168686868686868
0.56868686868686868
0.516868686868686868
0.526868686868686868
0.536868686868686868
0.546868686868686868
0.556868.5686868.46868.569
0.566969696969696969
0.576969696969696969
0.586969696969696969
0.596969696969696969
0.66969696969696969
0.616969696969696969
0.626969.4696969.166969.669
0.637070707070707070
0.647070707070707070
0.657070707070707070
0.6670.5471717170.88717171
0.677171717171717171
0.687171.6717171.247171.472
0.697272727272727272
0.77272727272727272
0.717272727272727272
0.727272727272727272
0.737272.17272727272.972
0.747373737373737373
0.757373737373737373
0.767373737373737373
0.777373737373737373
0.787373737373737373
0.797373.37373737373.773
0.87474747474747474
0.817474747474747474
0.827474.47474747474.674
0.837575757575757575
0.847575757575757575
0.857575757575757575
0.867575757575757575
0.877575757575757575
0.8875.7276767675.84767676
0.8976.4177777776.52767777
0.97777777777777777
0.917777777777777777
0.9277.4878787877.56777878
0.937878787878787878
0.947878787878787878
0.957878.57878787878.578.5
0.967979797979797979
0.977979.97979797979.180
0.988080.68080808080.481
0.9981.9384848481.96818484



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')