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 13:03:38 +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/t1418216634tk9xv12akn1358l.htm/, Retrieved Sun, 19 May 2024 16:11:02 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=265085, Retrieved Sun, 19 May 2024 16:11:02 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact73
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] [706bcb1d0c5210dc074174906fafd7a3] [Current]
-    D        [Percentiles] [1.1 AMSE : Normal...] [2014-12-10 13:10:19] [765bd0d5d4a0c852014c120c6930661d]
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Dataseries X:
51
56
67
69
NA
56
55
NA
67
NA
NA
76
64
68
64
65
71
63
60
NA
72
70
61
61
62
71
NA
51
56
70
73
76
NA
NA
NA
52
NA
NA
NA
57
NA
60
60
NA
62
59
61
NA
NA
NA
NA
69
NA
59
NA
66
NA
67
NA
NA
75
NA
69
58
60
74
55
NA
63
NA
NA
NA
68
NA
62
NA
NA
NA
NA
72
62
75
58
NA
NA
47
NA
NA
NA
NA
19
50
NA
NA
79
NA
71
48
66
NA
74
66
71
NA
NA
NA
53
60
NA
70
69
NA
NA
NA
59
72
NA
NA
NA
71
74
NA
NA
NA
80
73
67
61
NA
74
32
69
NA
NA
64
NA
60
59
78
NA
60
NA
68
73
NA
67
NA
65
NA
74
NA
NA
55
49
NA
53
64
NA
57
NA
NA
67
70
NA
75
NA
NA
65
NA
NA
65
69
48
NA
68
74
67
65
NA
74
NA
NA
69
NA
63
NA
NA
68
NA
70
78
NA
NA
NA
74
NA
62
69
65
67
NA
52
NA
53
NA
NA
NA
NA
NA
NA
76
63
41
NA
NA
NA
NA
NA
72
52
65
63
NA
56
NA
56
64
NA
75
NA
NA
NA
NA
NA
NA
65
NA
NA
61
71
72
62
NA
66
63
NA
NA
NA
NA
71
NA
NA
NA
NA
NA
NA
64
78
60
NA
NA
68
NA
68
60
65
64
69
NA
NA
NA
NA
NA
74
NA
NA
76
NA
NA
73
NA
76
55
NA
62
NA
78
NA
67
75
59
NA
70
59
NA
63
67
58
71
NA
53
NA
NA
64
NA
67
72
NA
NA
57
62
74
54
NA
66
64
74
71
NA
NA
63
NA
70
66
NA
78
NA
72
NA
NA
72
58
84
67
NA
NA
63
NA
55
NA
58
69
54
58
67
77
80
67
NA
71
NA
NA
79
76
72
81
52
76
60
NA
77
64
67
NA
79
40
71
73
NA
70
66
NA
NA
74
58
51
75
NA
50
NA
77
NA
NA
NA
NA
71
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=265085&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=265085&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=265085&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)
0.0133.0433.12404040.123238.8832
0.0242.5642.68474747.244145.3241
0.034848484848.36484848
0.0449.5249.565050505049.4450
0.0550.6550.75151515150.351
0.065151515151.72515151
0.075252525252525252
0.0852.0452.12535352.965252.8852
0.095353535353535353
0.153.353.45454545353.653
0.1154.4354.545555555454.4655
0.125555555555555555
0.135555555555.56555555
0.145656565656565656
0.155656565656565656
0.165757575757575757
0.1757.2157.385858585757.6257
0.185858585858585858
0.195858585858585858
0.25858585858.4585858
0.215959595959595959
0.225959595959595959
0.235959.22595959.765959.7859
0.246060606060606060
0.256060606060606060
0.266060606060606060
0.276060606060606060
0.2860.6460.926161616160.0861
0.296161616161616161
0.36161.2616161.66161.861
0.316262626262626262
0.326262626262626262
0.336262626262626262
0.3462.4262.766363636262.2463
0.356363636363636363
0.366363636363636363
0.376363636363636363
0.386363.32636363.566363.6863
0.396464646464646464
0.46464646464646464
0.416464646464646464
0.426464646464646464
0.4364.5965656565656565
0.446565656565656565
0.456565656565656565
0.466565656565656565
0.4765.1165.58666665.646565.4266
0.486666666666666666
0.496666666666666666
0.56666666666666666
0.516767676767676767
0.526767676767676767
0.536767676767676767
0.546767676767676767
0.556767676767676767
0.566767676767676767
0.576767676767676767
0.586868686868686868
0.596868686868686868
0.66868686868686868
0.6168.9369696969696969
0.626969696969696969
0.636969696969696969
0.646969696969696969
0.656969.16969696969.969
0.667070707070707070
0.677070707070707070
0.687070707070707070
0.697070.66707070.287070.3471
0.77171717171717171
0.717171717171717171
0.727171717171717171
0.737171717171717171
0.747171717171717171
0.7571.7572727272727272
0.767272727272727272
0.777272727272727272
0.787272727272727272
0.7972.2773737372.48727373
0.87373737373737373
0.817373.347373737373.6673
0.827474747474747474
0.837474747474747474
0.847474747474747474
0.857474747474747474
0.867474747474747474
0.8774.3175757574.44747575
0.887575757575757575
0.897575757575757575
0.975.776767675.8767676
0.917676767676767676
0.927676767676767676
0.9376.0977777776.16767777
0.947777.167777777777.8477
0.957878787878787878
0.967878787878787878
0.9778.6179797978.64797979
0.987979.727979797979.2880
0.998080.868080808080.1481

\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 & 33.04 & 33.12 & 40 & 40 & 40.12 & 32 & 38.88 & 32 \tabularnewline
0.02 & 42.56 & 42.68 & 47 & 47 & 47.24 & 41 & 45.32 & 41 \tabularnewline
0.03 & 48 & 48 & 48 & 48 & 48.36 & 48 & 48 & 48 \tabularnewline
0.04 & 49.52 & 49.56 & 50 & 50 & 50 & 50 & 49.44 & 50 \tabularnewline
0.05 & 50.65 & 50.7 & 51 & 51 & 51 & 51 & 50.3 & 51 \tabularnewline
0.06 & 51 & 51 & 51 & 51 & 51.72 & 51 & 51 & 51 \tabularnewline
0.07 & 52 & 52 & 52 & 52 & 52 & 52 & 52 & 52 \tabularnewline
0.08 & 52.04 & 52.12 & 53 & 53 & 52.96 & 52 & 52.88 & 52 \tabularnewline
0.09 & 53 & 53 & 53 & 53 & 53 & 53 & 53 & 53 \tabularnewline
0.1 & 53.3 & 53.4 & 54 & 54 & 54 & 53 & 53.6 & 53 \tabularnewline
0.11 & 54.43 & 54.54 & 55 & 55 & 55 & 54 & 54.46 & 55 \tabularnewline
0.12 & 55 & 55 & 55 & 55 & 55 & 55 & 55 & 55 \tabularnewline
0.13 & 55 & 55 & 55 & 55 & 55.56 & 55 & 55 & 55 \tabularnewline
0.14 & 56 & 56 & 56 & 56 & 56 & 56 & 56 & 56 \tabularnewline
0.15 & 56 & 56 & 56 & 56 & 56 & 56 & 56 & 56 \tabularnewline
0.16 & 57 & 57 & 57 & 57 & 57 & 57 & 57 & 57 \tabularnewline
0.17 & 57.21 & 57.38 & 58 & 58 & 58 & 57 & 57.62 & 57 \tabularnewline
0.18 & 58 & 58 & 58 & 58 & 58 & 58 & 58 & 58 \tabularnewline
0.19 & 58 & 58 & 58 & 58 & 58 & 58 & 58 & 58 \tabularnewline
0.2 & 58 & 58 & 58 & 58 & 58.4 & 58 & 58 & 58 \tabularnewline
0.21 & 59 & 59 & 59 & 59 & 59 & 59 & 59 & 59 \tabularnewline
0.22 & 59 & 59 & 59 & 59 & 59 & 59 & 59 & 59 \tabularnewline
0.23 & 59 & 59.22 & 59 & 59 & 59.76 & 59 & 59.78 & 59 \tabularnewline
0.24 & 60 & 60 & 60 & 60 & 60 & 60 & 60 & 60 \tabularnewline
0.25 & 60 & 60 & 60 & 60 & 60 & 60 & 60 & 60 \tabularnewline
0.26 & 60 & 60 & 60 & 60 & 60 & 60 & 60 & 60 \tabularnewline
0.27 & 60 & 60 & 60 & 60 & 60 & 60 & 60 & 60 \tabularnewline
0.28 & 60.64 & 60.92 & 61 & 61 & 61 & 61 & 60.08 & 61 \tabularnewline
0.29 & 61 & 61 & 61 & 61 & 61 & 61 & 61 & 61 \tabularnewline
0.3 & 61 & 61.2 & 61 & 61 & 61.6 & 61 & 61.8 & 61 \tabularnewline
0.31 & 62 & 62 & 62 & 62 & 62 & 62 & 62 & 62 \tabularnewline
0.32 & 62 & 62 & 62 & 62 & 62 & 62 & 62 & 62 \tabularnewline
0.33 & 62 & 62 & 62 & 62 & 62 & 62 & 62 & 62 \tabularnewline
0.34 & 62.42 & 62.76 & 63 & 63 & 63 & 62 & 62.24 & 63 \tabularnewline
0.35 & 63 & 63 & 63 & 63 & 63 & 63 & 63 & 63 \tabularnewline
0.36 & 63 & 63 & 63 & 63 & 63 & 63 & 63 & 63 \tabularnewline
0.37 & 63 & 63 & 63 & 63 & 63 & 63 & 63 & 63 \tabularnewline
0.38 & 63 & 63.32 & 63 & 63 & 63.56 & 63 & 63.68 & 63 \tabularnewline
0.39 & 64 & 64 & 64 & 64 & 64 & 64 & 64 & 64 \tabularnewline
0.4 & 64 & 64 & 64 & 64 & 64 & 64 & 64 & 64 \tabularnewline
0.41 & 64 & 64 & 64 & 64 & 64 & 64 & 64 & 64 \tabularnewline
0.42 & 64 & 64 & 64 & 64 & 64 & 64 & 64 & 64 \tabularnewline
0.43 & 64.59 & 65 & 65 & 65 & 65 & 65 & 65 & 65 \tabularnewline
0.44 & 65 & 65 & 65 & 65 & 65 & 65 & 65 & 65 \tabularnewline
0.45 & 65 & 65 & 65 & 65 & 65 & 65 & 65 & 65 \tabularnewline
0.46 & 65 & 65 & 65 & 65 & 65 & 65 & 65 & 65 \tabularnewline
0.47 & 65.11 & 65.58 & 66 & 66 & 65.64 & 65 & 65.42 & 66 \tabularnewline
0.48 & 66 & 66 & 66 & 66 & 66 & 66 & 66 & 66 \tabularnewline
0.49 & 66 & 66 & 66 & 66 & 66 & 66 & 66 & 66 \tabularnewline
0.5 & 66 & 66 & 66 & 66 & 66 & 66 & 66 & 66 \tabularnewline
0.51 & 67 & 67 & 67 & 67 & 67 & 67 & 67 & 67 \tabularnewline
0.52 & 67 & 67 & 67 & 67 & 67 & 67 & 67 & 67 \tabularnewline
0.53 & 67 & 67 & 67 & 67 & 67 & 67 & 67 & 67 \tabularnewline
0.54 & 67 & 67 & 67 & 67 & 67 & 67 & 67 & 67 \tabularnewline
0.55 & 67 & 67 & 67 & 67 & 67 & 67 & 67 & 67 \tabularnewline
0.56 & 67 & 67 & 67 & 67 & 67 & 67 & 67 & 67 \tabularnewline
0.57 & 67 & 67 & 67 & 67 & 67 & 67 & 67 & 67 \tabularnewline
0.58 & 68 & 68 & 68 & 68 & 68 & 68 & 68 & 68 \tabularnewline
0.59 & 68 & 68 & 68 & 68 & 68 & 68 & 68 & 68 \tabularnewline
0.6 & 68 & 68 & 68 & 68 & 68 & 68 & 68 & 68 \tabularnewline
0.61 & 68.93 & 69 & 69 & 69 & 69 & 69 & 69 & 69 \tabularnewline
0.62 & 69 & 69 & 69 & 69 & 69 & 69 & 69 & 69 \tabularnewline
0.63 & 69 & 69 & 69 & 69 & 69 & 69 & 69 & 69 \tabularnewline
0.64 & 69 & 69 & 69 & 69 & 69 & 69 & 69 & 69 \tabularnewline
0.65 & 69 & 69.1 & 69 & 69 & 69 & 69 & 69.9 & 69 \tabularnewline
0.66 & 70 & 70 & 70 & 70 & 70 & 70 & 70 & 70 \tabularnewline
0.67 & 70 & 70 & 70 & 70 & 70 & 70 & 70 & 70 \tabularnewline
0.68 & 70 & 70 & 70 & 70 & 70 & 70 & 70 & 70 \tabularnewline
0.69 & 70 & 70.66 & 70 & 70 & 70.28 & 70 & 70.34 & 71 \tabularnewline
0.7 & 71 & 71 & 71 & 71 & 71 & 71 & 71 & 71 \tabularnewline
0.71 & 71 & 71 & 71 & 71 & 71 & 71 & 71 & 71 \tabularnewline
0.72 & 71 & 71 & 71 & 71 & 71 & 71 & 71 & 71 \tabularnewline
0.73 & 71 & 71 & 71 & 71 & 71 & 71 & 71 & 71 \tabularnewline
0.74 & 71 & 71 & 71 & 71 & 71 & 71 & 71 & 71 \tabularnewline
0.75 & 71.75 & 72 & 72 & 72 & 72 & 72 & 72 & 72 \tabularnewline
0.76 & 72 & 72 & 72 & 72 & 72 & 72 & 72 & 72 \tabularnewline
0.77 & 72 & 72 & 72 & 72 & 72 & 72 & 72 & 72 \tabularnewline
0.78 & 72 & 72 & 72 & 72 & 72 & 72 & 72 & 72 \tabularnewline
0.79 & 72.27 & 73 & 73 & 73 & 72.48 & 72 & 73 & 73 \tabularnewline
0.8 & 73 & 73 & 73 & 73 & 73 & 73 & 73 & 73 \tabularnewline
0.81 & 73 & 73.34 & 73 & 73 & 73 & 73 & 73.66 & 73 \tabularnewline
0.82 & 74 & 74 & 74 & 74 & 74 & 74 & 74 & 74 \tabularnewline
0.83 & 74 & 74 & 74 & 74 & 74 & 74 & 74 & 74 \tabularnewline
0.84 & 74 & 74 & 74 & 74 & 74 & 74 & 74 & 74 \tabularnewline
0.85 & 74 & 74 & 74 & 74 & 74 & 74 & 74 & 74 \tabularnewline
0.86 & 74 & 74 & 74 & 74 & 74 & 74 & 74 & 74 \tabularnewline
0.87 & 74.31 & 75 & 75 & 75 & 74.44 & 74 & 75 & 75 \tabularnewline
0.88 & 75 & 75 & 75 & 75 & 75 & 75 & 75 & 75 \tabularnewline
0.89 & 75 & 75 & 75 & 75 & 75 & 75 & 75 & 75 \tabularnewline
0.9 & 75.7 & 76 & 76 & 76 & 75.8 & 76 & 76 & 76 \tabularnewline
0.91 & 76 & 76 & 76 & 76 & 76 & 76 & 76 & 76 \tabularnewline
0.92 & 76 & 76 & 76 & 76 & 76 & 76 & 76 & 76 \tabularnewline
0.93 & 76.09 & 77 & 77 & 77 & 76.16 & 76 & 77 & 77 \tabularnewline
0.94 & 77 & 77.16 & 77 & 77 & 77 & 77 & 77.84 & 77 \tabularnewline
0.95 & 78 & 78 & 78 & 78 & 78 & 78 & 78 & 78 \tabularnewline
0.96 & 78 & 78 & 78 & 78 & 78 & 78 & 78 & 78 \tabularnewline
0.97 & 78.61 & 79 & 79 & 79 & 78.64 & 79 & 79 & 79 \tabularnewline
0.98 & 79 & 79.72 & 79 & 79 & 79 & 79 & 79.28 & 80 \tabularnewline
0.99 & 80 & 80.86 & 80 & 80 & 80 & 80 & 80.14 & 81 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=265085&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]33.04[/C][C]33.12[/C][C]40[/C][C]40[/C][C]40.12[/C][C]32[/C][C]38.88[/C][C]32[/C][/ROW]
[ROW][C]0.02[/C][C]42.56[/C][C]42.68[/C][C]47[/C][C]47[/C][C]47.24[/C][C]41[/C][C]45.32[/C][C]41[/C][/ROW]
[ROW][C]0.03[/C][C]48[/C][C]48[/C][C]48[/C][C]48[/C][C]48.36[/C][C]48[/C][C]48[/C][C]48[/C][/ROW]
[ROW][C]0.04[/C][C]49.52[/C][C]49.56[/C][C]50[/C][C]50[/C][C]50[/C][C]50[/C][C]49.44[/C][C]50[/C][/ROW]
[ROW][C]0.05[/C][C]50.65[/C][C]50.7[/C][C]51[/C][C]51[/C][C]51[/C][C]51[/C][C]50.3[/C][C]51[/C][/ROW]
[ROW][C]0.06[/C][C]51[/C][C]51[/C][C]51[/C][C]51[/C][C]51.72[/C][C]51[/C][C]51[/C][C]51[/C][/ROW]
[ROW][C]0.07[/C][C]52[/C][C]52[/C][C]52[/C][C]52[/C][C]52[/C][C]52[/C][C]52[/C][C]52[/C][/ROW]
[ROW][C]0.08[/C][C]52.04[/C][C]52.12[/C][C]53[/C][C]53[/C][C]52.96[/C][C]52[/C][C]52.88[/C][C]52[/C][/ROW]
[ROW][C]0.09[/C][C]53[/C][C]53[/C][C]53[/C][C]53[/C][C]53[/C][C]53[/C][C]53[/C][C]53[/C][/ROW]
[ROW][C]0.1[/C][C]53.3[/C][C]53.4[/C][C]54[/C][C]54[/C][C]54[/C][C]53[/C][C]53.6[/C][C]53[/C][/ROW]
[ROW][C]0.11[/C][C]54.43[/C][C]54.54[/C][C]55[/C][C]55[/C][C]55[/C][C]54[/C][C]54.46[/C][C]55[/C][/ROW]
[ROW][C]0.12[/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]0.13[/C][C]55[/C][C]55[/C][C]55[/C][C]55[/C][C]55.56[/C][C]55[/C][C]55[/C][C]55[/C][/ROW]
[ROW][C]0.14[/C][C]56[/C][C]56[/C][C]56[/C][C]56[/C][C]56[/C][C]56[/C][C]56[/C][C]56[/C][/ROW]
[ROW][C]0.15[/C][C]56[/C][C]56[/C][C]56[/C][C]56[/C][C]56[/C][C]56[/C][C]56[/C][C]56[/C][/ROW]
[ROW][C]0.16[/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]0.17[/C][C]57.21[/C][C]57.38[/C][C]58[/C][C]58[/C][C]58[/C][C]57[/C][C]57.62[/C][C]57[/C][/ROW]
[ROW][C]0.18[/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]0.19[/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]0.2[/C][C]58[/C][C]58[/C][C]58[/C][C]58[/C][C]58.4[/C][C]58[/C][C]58[/C][C]58[/C][/ROW]
[ROW][C]0.21[/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]0.22[/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]0.23[/C][C]59[/C][C]59.22[/C][C]59[/C][C]59[/C][C]59.76[/C][C]59[/C][C]59.78[/C][C]59[/C][/ROW]
[ROW][C]0.24[/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]0.25[/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]0.26[/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]0.27[/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]0.28[/C][C]60.64[/C][C]60.92[/C][C]61[/C][C]61[/C][C]61[/C][C]61[/C][C]60.08[/C][C]61[/C][/ROW]
[ROW][C]0.29[/C][C]61[/C][C]61[/C][C]61[/C][C]61[/C][C]61[/C][C]61[/C][C]61[/C][C]61[/C][/ROW]
[ROW][C]0.3[/C][C]61[/C][C]61.2[/C][C]61[/C][C]61[/C][C]61.6[/C][C]61[/C][C]61.8[/C][C]61[/C][/ROW]
[ROW][C]0.31[/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]0.32[/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]0.33[/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]0.34[/C][C]62.42[/C][C]62.76[/C][C]63[/C][C]63[/C][C]63[/C][C]62[/C][C]62.24[/C][C]63[/C][/ROW]
[ROW][C]0.35[/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]0.36[/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]0.37[/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]0.38[/C][C]63[/C][C]63.32[/C][C]63[/C][C]63[/C][C]63.56[/C][C]63[/C][C]63.68[/C][C]63[/C][/ROW]
[ROW][C]0.39[/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]0.4[/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]0.41[/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]0.42[/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]0.43[/C][C]64.59[/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]0.44[/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]0.45[/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]0.46[/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]0.47[/C][C]65.11[/C][C]65.58[/C][C]66[/C][C]66[/C][C]65.64[/C][C]65[/C][C]65.42[/C][C]66[/C][/ROW]
[ROW][C]0.48[/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]0.49[/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]0.5[/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]0.51[/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]0.52[/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]0.53[/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]0.54[/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]0.55[/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]0.56[/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]0.57[/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]0.58[/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]0.59[/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]0.6[/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]0.61[/C][C]68.93[/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[/C][C]69[/C][C]69[/C][C]69[/C][C]69[/C][C]69[/C][C]69[/C][/ROW]
[ROW][C]0.63[/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]0.64[/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]0.65[/C][C]69[/C][C]69.1[/C][C]69[/C][C]69[/C][C]69[/C][C]69[/C][C]69.9[/C][C]69[/C][/ROW]
[ROW][C]0.66[/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]0.67[/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]0.68[/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]0.69[/C][C]70[/C][C]70.66[/C][C]70[/C][C]70[/C][C]70.28[/C][C]70[/C][C]70.34[/C][C]71[/C][/ROW]
[ROW][C]0.7[/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]0.71[/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]0.72[/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]0.73[/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]0.74[/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]0.75[/C][C]71.75[/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]0.76[/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]0.77[/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]0.78[/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]0.79[/C][C]72.27[/C][C]73[/C][C]73[/C][C]73[/C][C]72.48[/C][C]72[/C][C]73[/C][C]73[/C][/ROW]
[ROW][C]0.8[/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]0.81[/C][C]73[/C][C]73.34[/C][C]73[/C][C]73[/C][C]73[/C][C]73[/C][C]73.66[/C][C]73[/C][/ROW]
[ROW][C]0.82[/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]0.83[/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]0.84[/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]0.85[/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]0.86[/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]0.87[/C][C]74.31[/C][C]75[/C][C]75[/C][C]75[/C][C]74.44[/C][C]74[/C][C]75[/C][C]75[/C][/ROW]
[ROW][C]0.88[/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]0.89[/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]0.9[/C][C]75.7[/C][C]76[/C][C]76[/C][C]76[/C][C]75.8[/C][C]76[/C][C]76[/C][C]76[/C][/ROW]
[ROW][C]0.91[/C][C]76[/C][C]76[/C][C]76[/C][C]76[/C][C]76[/C][C]76[/C][C]76[/C][C]76[/C][/ROW]
[ROW][C]0.92[/C][C]76[/C][C]76[/C][C]76[/C][C]76[/C][C]76[/C][C]76[/C][C]76[/C][C]76[/C][/ROW]
[ROW][C]0.93[/C][C]76.09[/C][C]77[/C][C]77[/C][C]77[/C][C]76.16[/C][C]76[/C][C]77[/C][C]77[/C][/ROW]
[ROW][C]0.94[/C][C]77[/C][C]77.16[/C][C]77[/C][C]77[/C][C]77[/C][C]77[/C][C]77.84[/C][C]77[/C][/ROW]
[ROW][C]0.95[/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]0.96[/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]0.97[/C][C]78.61[/C][C]79[/C][C]79[/C][C]79[/C][C]78.64[/C][C]79[/C][C]79[/C][C]79[/C][/ROW]
[ROW][C]0.98[/C][C]79[/C][C]79.72[/C][C]79[/C][C]79[/C][C]79[/C][C]79[/C][C]79.28[/C][C]80[/C][/ROW]
[ROW][C]0.99[/C][C]80[/C][C]80.86[/C][C]80[/C][C]80[/C][C]80[/C][C]80[/C][C]80.14[/C][C]81[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=265085&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=265085&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)
0.0133.0433.12404040.123238.8832
0.0242.5642.68474747.244145.3241
0.034848484848.36484848
0.0449.5249.565050505049.4450
0.0550.6550.75151515150.351
0.065151515151.72515151
0.075252525252525252
0.0852.0452.12535352.965252.8852
0.095353535353535353
0.153.353.45454545353.653
0.1154.4354.545555555454.4655
0.125555555555555555
0.135555555555.56555555
0.145656565656565656
0.155656565656565656
0.165757575757575757
0.1757.2157.385858585757.6257
0.185858585858585858
0.195858585858585858
0.25858585858.4585858
0.215959595959595959
0.225959595959595959
0.235959.22595959.765959.7859
0.246060606060606060
0.256060606060606060
0.266060606060606060
0.276060606060606060
0.2860.6460.926161616160.0861
0.296161616161616161
0.36161.2616161.66161.861
0.316262626262626262
0.326262626262626262
0.336262626262626262
0.3462.4262.766363636262.2463
0.356363636363636363
0.366363636363636363
0.376363636363636363
0.386363.32636363.566363.6863
0.396464646464646464
0.46464646464646464
0.416464646464646464
0.426464646464646464
0.4364.5965656565656565
0.446565656565656565
0.456565656565656565
0.466565656565656565
0.4765.1165.58666665.646565.4266
0.486666666666666666
0.496666666666666666
0.56666666666666666
0.516767676767676767
0.526767676767676767
0.536767676767676767
0.546767676767676767
0.556767676767676767
0.566767676767676767
0.576767676767676767
0.586868686868686868
0.596868686868686868
0.66868686868686868
0.6168.9369696969696969
0.626969696969696969
0.636969696969696969
0.646969696969696969
0.656969.16969696969.969
0.667070707070707070
0.677070707070707070
0.687070707070707070
0.697070.66707070.287070.3471
0.77171717171717171
0.717171717171717171
0.727171717171717171
0.737171717171717171
0.747171717171717171
0.7571.7572727272727272
0.767272727272727272
0.777272727272727272
0.787272727272727272
0.7972.2773737372.48727373
0.87373737373737373
0.817373.347373737373.6673
0.827474747474747474
0.837474747474747474
0.847474747474747474
0.857474747474747474
0.867474747474747474
0.8774.3175757574.44747575
0.887575757575757575
0.897575757575757575
0.975.776767675.8767676
0.917676767676767676
0.927676767676767676
0.9376.0977777776.16767777
0.947777.167777777777.8477
0.957878787878787878
0.967878787878787878
0.9778.6179797978.64797979
0.987979.727979797979.2880
0.998080.868080808080.1481



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')