Free Statistics

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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 11:54:39 +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/t141821253730pjg5u2tnwyp0c.htm/, Retrieved Sun, 19 May 2024 15:23:39 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=264977, Retrieved Sun, 19 May 2024 15:23:39 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact72
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] [706bcb1d0c5210dc074174906fafd7a3] [Current]
- R PD      [Percentiles] [1.1 Normal Q-Q pl...] [2014-12-10 12:18:58] [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] [765bd0d5d4a0c852014c120c6930661d]
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Dataseries X:
52
16
46
56
NA
55
50
NA
60
NA
NA
67
52
55
37
54
72
51
48
NA
50
63
33
67
46
54
NA
61
33
47
69
52
NA
NA
NA
73
NA
NA
NA
51
NA
56
56
NA
66
66
73
NA
NA
NA
NA
58
NA
61
NA
50
NA
54
NA
NA
80
NA
56
56
56
53
47
NA
47
NA
NA
NA
51
NA
35
NA
NA
NA
NA
53
46
67
59
NA
NA
50
NA
NA
NA
NA
47
63
NA
NA
51
NA
55
38
56
NA
50
54
57
NA
NA
NA
49
37
NA
59
46
NA
NA
NA
53
48
NA
NA
NA
62
62
NA
NA
NA
67
50
54
58
NA
63
31
65
NA
NA
57
NA
54
47
57
NA
41
NA
63
56
NA
50
NA
41
NA
56
NA
NA
42
52
NA
44
62
NA
50
NA
NA
66
62
NA
47
NA
NA
60
NA
NA
45
58
51
NA
30
46
51
56
NA
44
NA
NA
42
NA
44
NA
NA
46
NA
50
54
NA
NA
NA
55
NA
59
54
66
55
NA
51
NA
42
NA
NA
NA
NA
NA
NA
63
43
65
NA
NA
NA
NA
NA
67
52
52
69
NA
46
NA
40
70
NA
77
NA
NA
NA
NA
NA
NA
41
NA
NA
51
69
60
45
NA
39
51
NA
NA
NA
NA
51
NA
NA
NA
NA
NA
NA
51
65
51
NA
NA
58
NA
54
52
72
50
65
NA
NA
NA
NA
NA
50
NA
NA
52
NA
NA
59
NA
52
45
NA
70
NA
71
NA
58
39
46
NA
67
44
NA
41
68
63
57
NA
39
NA
NA
38
NA
51
59
NA
NA
47
50
57
21
NA
51
37
67
43
NA
NA
40
NA
58
64
NA
58
NA
59
NA
NA
58
41
56
63
NA
NA
58
NA
47
NA
62
60
50
46
44
58
56
43
NA
54
NA
NA
66
62
58
67
25
56
53
NA
59
46
49
NA
76
33
49
53
NA
72
51
NA
NA
51
54
52
59
NA
67
NA
58
NA
NA
NA
NA
53
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=264977&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=264977&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=264977&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)
0.0121.5221.56252525.62124.4421
0.0230.2630.28313131.483030.7230
0.033333333333333333
0.0434.0434.12353535.963533.8835
0.053737373737373737
0.0637.7837.843838383837.1638
0.0738.9138.983939393938.0239
0.0839.0439.12404039.963939.8839
0.0940.1740.264141414040.7440
0.14141414141414141
0.114141414141.32414141
0.124242424242424242
0.1342.6942.824343434342.1843
0.144343434343.68434343
0.154444444444444444
0.164444444444444444
0.174545454545454545
0.1845.3445.524646464545.4846
0.194646464646464646
0.24646464646464646
0.214646464646464646
0.224646464646464646
0.2346.9947474747474747
0.244747474747474747
0.254747474747474747
0.264747474747.12474747
0.274848484848.24484848
0.284949494949494949
0.2949.7750505050505050
0.35050505050505050
0.315050505050505050
0.325050505050505050
0.335050505050505050
0.345050505050505050
0.3550.5550.95151515150.151
0.365151515151515151
0.375151515151515151
0.385151515151515151
0.395151515151515151
0.45151515151515151
0.415151515151515151
0.425151515151.04515151
0.435252525252525252
0.445252525252525252
0.455252525252525252
0.465252525252525252
0.4752.1152.58535352.645252.4253
0.485353535353535353
0.495353535353535353
0.553.554545454545454
0.515454545454545454
0.525454545454545454
0.535454545454545454
0.545454545454545454
0.5554.1554.7555554.65454.355
0.565555555555555555
0.575555555555555555
0.585656565656565656
0.595656565656565656
0.65656565656565656
0.615656565656565656
0.625656565656565656
0.635656565656565656
0.645757575757575757
0.655757575757575757
0.6657.5858585857.92585858
0.675858585858585858
0.685858585858585858
0.695858585858585858
0.75858585858585858
0.715858585858585858
0.725959595959595959
0.735959595959595959
0.745959595959595959
0.755959.55959595959.559.5
0.766060606060606060
0.7760.0160.78616160.246060.2261
0.7861.1461.92626261.366161.0862
0.796262626262626262
0.86262626262626262
0.8162.5363636362.72636363
0.826363636363636363
0.836363636363636363
0.846363.76636363.086363.2464
0.856565656565656565
0.866565.046565656565.9665
0.876666666666666666
0.886666666666666666
0.8966.5767676766.68676767
0.96767676767676767
0.916767676767676767
0.926767676767676767
0.9367.0968.02686867.166768.9868
0.946969696969696969
0.9569.3570707069.4697070
0.9670.4871.44717170.527071.5671
0.977272727272727272
0.9872.7473737372.76737373
0.9975.6176.86767675.647676.1477

\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 & 21.52 & 21.56 & 25 & 25 & 25.6 & 21 & 24.44 & 21 \tabularnewline
0.02 & 30.26 & 30.28 & 31 & 31 & 31.48 & 30 & 30.72 & 30 \tabularnewline
0.03 & 33 & 33 & 33 & 33 & 33 & 33 & 33 & 33 \tabularnewline
0.04 & 34.04 & 34.12 & 35 & 35 & 35.96 & 35 & 33.88 & 35 \tabularnewline
0.05 & 37 & 37 & 37 & 37 & 37 & 37 & 37 & 37 \tabularnewline
0.06 & 37.78 & 37.84 & 38 & 38 & 38 & 38 & 37.16 & 38 \tabularnewline
0.07 & 38.91 & 38.98 & 39 & 39 & 39 & 39 & 38.02 & 39 \tabularnewline
0.08 & 39.04 & 39.12 & 40 & 40 & 39.96 & 39 & 39.88 & 39 \tabularnewline
0.09 & 40.17 & 40.26 & 41 & 41 & 41 & 40 & 40.74 & 40 \tabularnewline
0.1 & 41 & 41 & 41 & 41 & 41 & 41 & 41 & 41 \tabularnewline
0.11 & 41 & 41 & 41 & 41 & 41.32 & 41 & 41 & 41 \tabularnewline
0.12 & 42 & 42 & 42 & 42 & 42 & 42 & 42 & 42 \tabularnewline
0.13 & 42.69 & 42.82 & 43 & 43 & 43 & 43 & 42.18 & 43 \tabularnewline
0.14 & 43 & 43 & 43 & 43 & 43.68 & 43 & 43 & 43 \tabularnewline
0.15 & 44 & 44 & 44 & 44 & 44 & 44 & 44 & 44 \tabularnewline
0.16 & 44 & 44 & 44 & 44 & 44 & 44 & 44 & 44 \tabularnewline
0.17 & 45 & 45 & 45 & 45 & 45 & 45 & 45 & 45 \tabularnewline
0.18 & 45.34 & 45.52 & 46 & 46 & 46 & 45 & 45.48 & 46 \tabularnewline
0.19 & 46 & 46 & 46 & 46 & 46 & 46 & 46 & 46 \tabularnewline
0.2 & 46 & 46 & 46 & 46 & 46 & 46 & 46 & 46 \tabularnewline
0.21 & 46 & 46 & 46 & 46 & 46 & 46 & 46 & 46 \tabularnewline
0.22 & 46 & 46 & 46 & 46 & 46 & 46 & 46 & 46 \tabularnewline
0.23 & 46.99 & 47 & 47 & 47 & 47 & 47 & 47 & 47 \tabularnewline
0.24 & 47 & 47 & 47 & 47 & 47 & 47 & 47 & 47 \tabularnewline
0.25 & 47 & 47 & 47 & 47 & 47 & 47 & 47 & 47 \tabularnewline
0.26 & 47 & 47 & 47 & 47 & 47.12 & 47 & 47 & 47 \tabularnewline
0.27 & 48 & 48 & 48 & 48 & 48.24 & 48 & 48 & 48 \tabularnewline
0.28 & 49 & 49 & 49 & 49 & 49 & 49 & 49 & 49 \tabularnewline
0.29 & 49.77 & 50 & 50 & 50 & 50 & 50 & 50 & 50 \tabularnewline
0.3 & 50 & 50 & 50 & 50 & 50 & 50 & 50 & 50 \tabularnewline
0.31 & 50 & 50 & 50 & 50 & 50 & 50 & 50 & 50 \tabularnewline
0.32 & 50 & 50 & 50 & 50 & 50 & 50 & 50 & 50 \tabularnewline
0.33 & 50 & 50 & 50 & 50 & 50 & 50 & 50 & 50 \tabularnewline
0.34 & 50 & 50 & 50 & 50 & 50 & 50 & 50 & 50 \tabularnewline
0.35 & 50.55 & 50.9 & 51 & 51 & 51 & 51 & 50.1 & 51 \tabularnewline
0.36 & 51 & 51 & 51 & 51 & 51 & 51 & 51 & 51 \tabularnewline
0.37 & 51 & 51 & 51 & 51 & 51 & 51 & 51 & 51 \tabularnewline
0.38 & 51 & 51 & 51 & 51 & 51 & 51 & 51 & 51 \tabularnewline
0.39 & 51 & 51 & 51 & 51 & 51 & 51 & 51 & 51 \tabularnewline
0.4 & 51 & 51 & 51 & 51 & 51 & 51 & 51 & 51 \tabularnewline
0.41 & 51 & 51 & 51 & 51 & 51 & 51 & 51 & 51 \tabularnewline
0.42 & 51 & 51 & 51 & 51 & 51.04 & 51 & 51 & 51 \tabularnewline
0.43 & 52 & 52 & 52 & 52 & 52 & 52 & 52 & 52 \tabularnewline
0.44 & 52 & 52 & 52 & 52 & 52 & 52 & 52 & 52 \tabularnewline
0.45 & 52 & 52 & 52 & 52 & 52 & 52 & 52 & 52 \tabularnewline
0.46 & 52 & 52 & 52 & 52 & 52 & 52 & 52 & 52 \tabularnewline
0.47 & 52.11 & 52.58 & 53 & 53 & 52.64 & 52 & 52.42 & 53 \tabularnewline
0.48 & 53 & 53 & 53 & 53 & 53 & 53 & 53 & 53 \tabularnewline
0.49 & 53 & 53 & 53 & 53 & 53 & 53 & 53 & 53 \tabularnewline
0.5 & 53.5 & 54 & 54 & 54 & 54 & 54 & 54 & 54 \tabularnewline
0.51 & 54 & 54 & 54 & 54 & 54 & 54 & 54 & 54 \tabularnewline
0.52 & 54 & 54 & 54 & 54 & 54 & 54 & 54 & 54 \tabularnewline
0.53 & 54 & 54 & 54 & 54 & 54 & 54 & 54 & 54 \tabularnewline
0.54 & 54 & 54 & 54 & 54 & 54 & 54 & 54 & 54 \tabularnewline
0.55 & 54.15 & 54.7 & 55 & 55 & 54.6 & 54 & 54.3 & 55 \tabularnewline
0.56 & 55 & 55 & 55 & 55 & 55 & 55 & 55 & 55 \tabularnewline
0.57 & 55 & 55 & 55 & 55 & 55 & 55 & 55 & 55 \tabularnewline
0.58 & 56 & 56 & 56 & 56 & 56 & 56 & 56 & 56 \tabularnewline
0.59 & 56 & 56 & 56 & 56 & 56 & 56 & 56 & 56 \tabularnewline
0.6 & 56 & 56 & 56 & 56 & 56 & 56 & 56 & 56 \tabularnewline
0.61 & 56 & 56 & 56 & 56 & 56 & 56 & 56 & 56 \tabularnewline
0.62 & 56 & 56 & 56 & 56 & 56 & 56 & 56 & 56 \tabularnewline
0.63 & 56 & 56 & 56 & 56 & 56 & 56 & 56 & 56 \tabularnewline
0.64 & 57 & 57 & 57 & 57 & 57 & 57 & 57 & 57 \tabularnewline
0.65 & 57 & 57 & 57 & 57 & 57 & 57 & 57 & 57 \tabularnewline
0.66 & 57.58 & 58 & 58 & 58 & 57.92 & 58 & 58 & 58 \tabularnewline
0.67 & 58 & 58 & 58 & 58 & 58 & 58 & 58 & 58 \tabularnewline
0.68 & 58 & 58 & 58 & 58 & 58 & 58 & 58 & 58 \tabularnewline
0.69 & 58 & 58 & 58 & 58 & 58 & 58 & 58 & 58 \tabularnewline
0.7 & 58 & 58 & 58 & 58 & 58 & 58 & 58 & 58 \tabularnewline
0.71 & 58 & 58 & 58 & 58 & 58 & 58 & 58 & 58 \tabularnewline
0.72 & 59 & 59 & 59 & 59 & 59 & 59 & 59 & 59 \tabularnewline
0.73 & 59 & 59 & 59 & 59 & 59 & 59 & 59 & 59 \tabularnewline
0.74 & 59 & 59 & 59 & 59 & 59 & 59 & 59 & 59 \tabularnewline
0.75 & 59 & 59.5 & 59 & 59 & 59 & 59 & 59.5 & 59.5 \tabularnewline
0.76 & 60 & 60 & 60 & 60 & 60 & 60 & 60 & 60 \tabularnewline
0.77 & 60.01 & 60.78 & 61 & 61 & 60.24 & 60 & 60.22 & 61 \tabularnewline
0.78 & 61.14 & 61.92 & 62 & 62 & 61.36 & 61 & 61.08 & 62 \tabularnewline
0.79 & 62 & 62 & 62 & 62 & 62 & 62 & 62 & 62 \tabularnewline
0.8 & 62 & 62 & 62 & 62 & 62 & 62 & 62 & 62 \tabularnewline
0.81 & 62.53 & 63 & 63 & 63 & 62.72 & 63 & 63 & 63 \tabularnewline
0.82 & 63 & 63 & 63 & 63 & 63 & 63 & 63 & 63 \tabularnewline
0.83 & 63 & 63 & 63 & 63 & 63 & 63 & 63 & 63 \tabularnewline
0.84 & 63 & 63.76 & 63 & 63 & 63.08 & 63 & 63.24 & 64 \tabularnewline
0.85 & 65 & 65 & 65 & 65 & 65 & 65 & 65 & 65 \tabularnewline
0.86 & 65 & 65.04 & 65 & 65 & 65 & 65 & 65.96 & 65 \tabularnewline
0.87 & 66 & 66 & 66 & 66 & 66 & 66 & 66 & 66 \tabularnewline
0.88 & 66 & 66 & 66 & 66 & 66 & 66 & 66 & 66 \tabularnewline
0.89 & 66.57 & 67 & 67 & 67 & 66.68 & 67 & 67 & 67 \tabularnewline
0.9 & 67 & 67 & 67 & 67 & 67 & 67 & 67 & 67 \tabularnewline
0.91 & 67 & 67 & 67 & 67 & 67 & 67 & 67 & 67 \tabularnewline
0.92 & 67 & 67 & 67 & 67 & 67 & 67 & 67 & 67 \tabularnewline
0.93 & 67.09 & 68.02 & 68 & 68 & 67.16 & 67 & 68.98 & 68 \tabularnewline
0.94 & 69 & 69 & 69 & 69 & 69 & 69 & 69 & 69 \tabularnewline
0.95 & 69.35 & 70 & 70 & 70 & 69.4 & 69 & 70 & 70 \tabularnewline
0.96 & 70.48 & 71.44 & 71 & 71 & 70.52 & 70 & 71.56 & 71 \tabularnewline
0.97 & 72 & 72 & 72 & 72 & 72 & 72 & 72 & 72 \tabularnewline
0.98 & 72.74 & 73 & 73 & 73 & 72.76 & 73 & 73 & 73 \tabularnewline
0.99 & 75.61 & 76.86 & 76 & 76 & 75.64 & 76 & 76.14 & 77 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=264977&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]21.52[/C][C]21.56[/C][C]25[/C][C]25[/C][C]25.6[/C][C]21[/C][C]24.44[/C][C]21[/C][/ROW]
[ROW][C]0.02[/C][C]30.26[/C][C]30.28[/C][C]31[/C][C]31[/C][C]31.48[/C][C]30[/C][C]30.72[/C][C]30[/C][/ROW]
[ROW][C]0.03[/C][C]33[/C][C]33[/C][C]33[/C][C]33[/C][C]33[/C][C]33[/C][C]33[/C][C]33[/C][/ROW]
[ROW][C]0.04[/C][C]34.04[/C][C]34.12[/C][C]35[/C][C]35[/C][C]35.96[/C][C]35[/C][C]33.88[/C][C]35[/C][/ROW]
[ROW][C]0.05[/C][C]37[/C][C]37[/C][C]37[/C][C]37[/C][C]37[/C][C]37[/C][C]37[/C][C]37[/C][/ROW]
[ROW][C]0.06[/C][C]37.78[/C][C]37.84[/C][C]38[/C][C]38[/C][C]38[/C][C]38[/C][C]37.16[/C][C]38[/C][/ROW]
[ROW][C]0.07[/C][C]38.91[/C][C]38.98[/C][C]39[/C][C]39[/C][C]39[/C][C]39[/C][C]38.02[/C][C]39[/C][/ROW]
[ROW][C]0.08[/C][C]39.04[/C][C]39.12[/C][C]40[/C][C]40[/C][C]39.96[/C][C]39[/C][C]39.88[/C][C]39[/C][/ROW]
[ROW][C]0.09[/C][C]40.17[/C][C]40.26[/C][C]41[/C][C]41[/C][C]41[/C][C]40[/C][C]40.74[/C][C]40[/C][/ROW]
[ROW][C]0.1[/C][C]41[/C][C]41[/C][C]41[/C][C]41[/C][C]41[/C][C]41[/C][C]41[/C][C]41[/C][/ROW]
[ROW][C]0.11[/C][C]41[/C][C]41[/C][C]41[/C][C]41[/C][C]41.32[/C][C]41[/C][C]41[/C][C]41[/C][/ROW]
[ROW][C]0.12[/C][C]42[/C][C]42[/C][C]42[/C][C]42[/C][C]42[/C][C]42[/C][C]42[/C][C]42[/C][/ROW]
[ROW][C]0.13[/C][C]42.69[/C][C]42.82[/C][C]43[/C][C]43[/C][C]43[/C][C]43[/C][C]42.18[/C][C]43[/C][/ROW]
[ROW][C]0.14[/C][C]43[/C][C]43[/C][C]43[/C][C]43[/C][C]43.68[/C][C]43[/C][C]43[/C][C]43[/C][/ROW]
[ROW][C]0.15[/C][C]44[/C][C]44[/C][C]44[/C][C]44[/C][C]44[/C][C]44[/C][C]44[/C][C]44[/C][/ROW]
[ROW][C]0.16[/C][C]44[/C][C]44[/C][C]44[/C][C]44[/C][C]44[/C][C]44[/C][C]44[/C][C]44[/C][/ROW]
[ROW][C]0.17[/C][C]45[/C][C]45[/C][C]45[/C][C]45[/C][C]45[/C][C]45[/C][C]45[/C][C]45[/C][/ROW]
[ROW][C]0.18[/C][C]45.34[/C][C]45.52[/C][C]46[/C][C]46[/C][C]46[/C][C]45[/C][C]45.48[/C][C]46[/C][/ROW]
[ROW][C]0.19[/C][C]46[/C][C]46[/C][C]46[/C][C]46[/C][C]46[/C][C]46[/C][C]46[/C][C]46[/C][/ROW]
[ROW][C]0.2[/C][C]46[/C][C]46[/C][C]46[/C][C]46[/C][C]46[/C][C]46[/C][C]46[/C][C]46[/C][/ROW]
[ROW][C]0.21[/C][C]46[/C][C]46[/C][C]46[/C][C]46[/C][C]46[/C][C]46[/C][C]46[/C][C]46[/C][/ROW]
[ROW][C]0.22[/C][C]46[/C][C]46[/C][C]46[/C][C]46[/C][C]46[/C][C]46[/C][C]46[/C][C]46[/C][/ROW]
[ROW][C]0.23[/C][C]46.99[/C][C]47[/C][C]47[/C][C]47[/C][C]47[/C][C]47[/C][C]47[/C][C]47[/C][/ROW]
[ROW][C]0.24[/C][C]47[/C][C]47[/C][C]47[/C][C]47[/C][C]47[/C][C]47[/C][C]47[/C][C]47[/C][/ROW]
[ROW][C]0.25[/C][C]47[/C][C]47[/C][C]47[/C][C]47[/C][C]47[/C][C]47[/C][C]47[/C][C]47[/C][/ROW]
[ROW][C]0.26[/C][C]47[/C][C]47[/C][C]47[/C][C]47[/C][C]47.12[/C][C]47[/C][C]47[/C][C]47[/C][/ROW]
[ROW][C]0.27[/C][C]48[/C][C]48[/C][C]48[/C][C]48[/C][C]48.24[/C][C]48[/C][C]48[/C][C]48[/C][/ROW]
[ROW][C]0.28[/C][C]49[/C][C]49[/C][C]49[/C][C]49[/C][C]49[/C][C]49[/C][C]49[/C][C]49[/C][/ROW]
[ROW][C]0.29[/C][C]49.77[/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]0.3[/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]0.31[/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]0.32[/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]0.33[/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]0.34[/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]0.35[/C][C]50.55[/C][C]50.9[/C][C]51[/C][C]51[/C][C]51[/C][C]51[/C][C]50.1[/C][C]51[/C][/ROW]
[ROW][C]0.36[/C][C]51[/C][C]51[/C][C]51[/C][C]51[/C][C]51[/C][C]51[/C][C]51[/C][C]51[/C][/ROW]
[ROW][C]0.37[/C][C]51[/C][C]51[/C][C]51[/C][C]51[/C][C]51[/C][C]51[/C][C]51[/C][C]51[/C][/ROW]
[ROW][C]0.38[/C][C]51[/C][C]51[/C][C]51[/C][C]51[/C][C]51[/C][C]51[/C][C]51[/C][C]51[/C][/ROW]
[ROW][C]0.39[/C][C]51[/C][C]51[/C][C]51[/C][C]51[/C][C]51[/C][C]51[/C][C]51[/C][C]51[/C][/ROW]
[ROW][C]0.4[/C][C]51[/C][C]51[/C][C]51[/C][C]51[/C][C]51[/C][C]51[/C][C]51[/C][C]51[/C][/ROW]
[ROW][C]0.41[/C][C]51[/C][C]51[/C][C]51[/C][C]51[/C][C]51[/C][C]51[/C][C]51[/C][C]51[/C][/ROW]
[ROW][C]0.42[/C][C]51[/C][C]51[/C][C]51[/C][C]51[/C][C]51.04[/C][C]51[/C][C]51[/C][C]51[/C][/ROW]
[ROW][C]0.43[/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]0.44[/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]0.45[/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]0.46[/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]0.47[/C][C]52.11[/C][C]52.58[/C][C]53[/C][C]53[/C][C]52.64[/C][C]52[/C][C]52.42[/C][C]53[/C][/ROW]
[ROW][C]0.48[/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]0.49[/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]0.5[/C][C]53.5[/C][C]54[/C][C]54[/C][C]54[/C][C]54[/C][C]54[/C][C]54[/C][C]54[/C][/ROW]
[ROW][C]0.51[/C][C]54[/C][C]54[/C][C]54[/C][C]54[/C][C]54[/C][C]54[/C][C]54[/C][C]54[/C][/ROW]
[ROW][C]0.52[/C][C]54[/C][C]54[/C][C]54[/C][C]54[/C][C]54[/C][C]54[/C][C]54[/C][C]54[/C][/ROW]
[ROW][C]0.53[/C][C]54[/C][C]54[/C][C]54[/C][C]54[/C][C]54[/C][C]54[/C][C]54[/C][C]54[/C][/ROW]
[ROW][C]0.54[/C][C]54[/C][C]54[/C][C]54[/C][C]54[/C][C]54[/C][C]54[/C][C]54[/C][C]54[/C][/ROW]
[ROW][C]0.55[/C][C]54.15[/C][C]54.7[/C][C]55[/C][C]55[/C][C]54.6[/C][C]54[/C][C]54.3[/C][C]55[/C][/ROW]
[ROW][C]0.56[/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]0.57[/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]0.58[/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]0.59[/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]0.6[/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]0.61[/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]0.62[/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]0.63[/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]0.64[/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]0.65[/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]0.66[/C][C]57.58[/C][C]58[/C][C]58[/C][C]58[/C][C]57.92[/C][C]58[/C][C]58[/C][C]58[/C][/ROW]
[ROW][C]0.67[/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]0.68[/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]0.69[/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]0.7[/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]0.71[/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]0.72[/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]0.73[/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]0.74[/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]0.75[/C][C]59[/C][C]59.5[/C][C]59[/C][C]59[/C][C]59[/C][C]59[/C][C]59.5[/C][C]59.5[/C][/ROW]
[ROW][C]0.76[/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]0.77[/C][C]60.01[/C][C]60.78[/C][C]61[/C][C]61[/C][C]60.24[/C][C]60[/C][C]60.22[/C][C]61[/C][/ROW]
[ROW][C]0.78[/C][C]61.14[/C][C]61.92[/C][C]62[/C][C]62[/C][C]61.36[/C][C]61[/C][C]61.08[/C][C]62[/C][/ROW]
[ROW][C]0.79[/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]0.8[/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]0.81[/C][C]62.53[/C][C]63[/C][C]63[/C][C]63[/C][C]62.72[/C][C]63[/C][C]63[/C][C]63[/C][/ROW]
[ROW][C]0.82[/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]0.83[/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]0.84[/C][C]63[/C][C]63.76[/C][C]63[/C][C]63[/C][C]63.08[/C][C]63[/C][C]63.24[/C][C]64[/C][/ROW]
[ROW][C]0.85[/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]0.86[/C][C]65[/C][C]65.04[/C][C]65[/C][C]65[/C][C]65[/C][C]65[/C][C]65.96[/C][C]65[/C][/ROW]
[ROW][C]0.87[/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]0.88[/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]0.89[/C][C]66.57[/C][C]67[/C][C]67[/C][C]67[/C][C]66.68[/C][C]67[/C][C]67[/C][C]67[/C][/ROW]
[ROW][C]0.9[/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]0.91[/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]0.92[/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]0.93[/C][C]67.09[/C][C]68.02[/C][C]68[/C][C]68[/C][C]67.16[/C][C]67[/C][C]68.98[/C][C]68[/C][/ROW]
[ROW][C]0.94[/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]0.95[/C][C]69.35[/C][C]70[/C][C]70[/C][C]70[/C][C]69.4[/C][C]69[/C][C]70[/C][C]70[/C][/ROW]
[ROW][C]0.96[/C][C]70.48[/C][C]71.44[/C][C]71[/C][C]71[/C][C]70.52[/C][C]70[/C][C]71.56[/C][C]71[/C][/ROW]
[ROW][C]0.97[/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]0.98[/C][C]72.74[/C][C]73[/C][C]73[/C][C]73[/C][C]72.76[/C][C]73[/C][C]73[/C][C]73[/C][/ROW]
[ROW][C]0.99[/C][C]75.61[/C][C]76.86[/C][C]76[/C][C]76[/C][C]75.64[/C][C]76[/C][C]76.14[/C][C]77[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=264977&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=264977&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)
0.0121.5221.56252525.62124.4421
0.0230.2630.28313131.483030.7230
0.033333333333333333
0.0434.0434.12353535.963533.8835
0.053737373737373737
0.0637.7837.843838383837.1638
0.0738.9138.983939393938.0239
0.0839.0439.12404039.963939.8839
0.0940.1740.264141414040.7440
0.14141414141414141
0.114141414141.32414141
0.124242424242424242
0.1342.6942.824343434342.1843
0.144343434343.68434343
0.154444444444444444
0.164444444444444444
0.174545454545454545
0.1845.3445.524646464545.4846
0.194646464646464646
0.24646464646464646
0.214646464646464646
0.224646464646464646
0.2346.9947474747474747
0.244747474747474747
0.254747474747474747
0.264747474747.12474747
0.274848484848.24484848
0.284949494949494949
0.2949.7750505050505050
0.35050505050505050
0.315050505050505050
0.325050505050505050
0.335050505050505050
0.345050505050505050
0.3550.5550.95151515150.151
0.365151515151515151
0.375151515151515151
0.385151515151515151
0.395151515151515151
0.45151515151515151
0.415151515151515151
0.425151515151.04515151
0.435252525252525252
0.445252525252525252
0.455252525252525252
0.465252525252525252
0.4752.1152.58535352.645252.4253
0.485353535353535353
0.495353535353535353
0.553.554545454545454
0.515454545454545454
0.525454545454545454
0.535454545454545454
0.545454545454545454
0.5554.1554.7555554.65454.355
0.565555555555555555
0.575555555555555555
0.585656565656565656
0.595656565656565656
0.65656565656565656
0.615656565656565656
0.625656565656565656
0.635656565656565656
0.645757575757575757
0.655757575757575757
0.6657.5858585857.92585858
0.675858585858585858
0.685858585858585858
0.695858585858585858
0.75858585858585858
0.715858585858585858
0.725959595959595959
0.735959595959595959
0.745959595959595959
0.755959.55959595959.559.5
0.766060606060606060
0.7760.0160.78616160.246060.2261
0.7861.1461.92626261.366161.0862
0.796262626262626262
0.86262626262626262
0.8162.5363636362.72636363
0.826363636363636363
0.836363636363636363
0.846363.76636363.086363.2464
0.856565656565656565
0.866565.046565656565.9665
0.876666666666666666
0.886666666666666666
0.8966.5767676766.68676767
0.96767676767676767
0.916767676767676767
0.926767676767676767
0.9367.0968.02686867.166768.9868
0.946969696969696969
0.9569.3570707069.4697070
0.9670.4871.44717170.527071.5671
0.977272727272727272
0.9872.7473737372.76737373
0.9975.6176.86767675.647676.1477



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')