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Author*The author of this computation has been verified*
R Software Modulerwasp_percentiles.wasp
Title produced by softwarePercentiles
Date of computationThu, 01 Dec 2011 15:53:07 -0500
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2011/Dec/01/t1322772802gv57jup8w2jw3am.htm/, Retrieved Fri, 29 Mar 2024 12:08:49 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=149995, Retrieved Fri, 29 Mar 2024 12:08:49 +0000
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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] [] [2011-12-01 20:53:07] [13d85cac30d4a10947636c080219d4f4] [Current]
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Dataseries X:
9.829
9.125
9.782
9.441
9.162
9.915
10.444
10.209
9.985
9.842
9.429
10.132
9.849
9.172
10.313
9.819
9.955
10.048
10.082
10.541
10.208
10.233
9.439
9.963
10.158
9.225
10.474
9.757
10.490
10.281
10.444
10.640
10.695
10.786
9.832
9.747
10.411
9.511
10.402
9.701
10.540
10.112
10.915
11.183
10.384
10.834
9.886
10.216
10.943
9.867
10.203
10.837
10.573
10.647
11.502
10.656
10.866
10.835
9.945
10.331




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=149995&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=149995&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=149995&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)
0.029.13249.133149.1629.1629.16389.1259.153869.125
0.049.1669.16649.1729.1729.191089.1629.16769.162
0.069.20389.206989.2259.2259.335169.2259.190029.225
0.089.38829.404529.4299.4299.43629.4299.249489.429
0.19.4399.43929.4399.449.44089.4399.44089.439
0.129.4559.46349.5119.5119.52629.4419.48869.441
0.149.5879.61369.7019.7019.712969.5119.59849.701
0.169.72869.735969.7479.7479.75149.7479.712049.747
0.189.7559.75689.7579.7579.77259.7579.74729.757
0.29.7829.78949.7829.80059.81169.7829.81169.782
0.229.8219.82329.8299.8299.82889.8199.82489.819
0.249.83029.830929.8329.8329.83369.8299.830089.832
0.269.8389.84069.8429.8429.844389.8429.83349.842
0.289.84769.850449.8499.8499.858369.8499.865569.849
0.39.8679.87279.8679.87659.88039.8679.88039.867
0.329.89189.901089.9159.9159.911529.8869.899929.915
0.349.9279.93729.9459.9459.94569.9159.92289.945
0.369.9519.95469.9559.9559.956929.9559.94549.955
0.389.96149.966969.9639.9639.972249.9639.981049.963
0.49.98510.01029.98510.016510.02289.98510.02289.985
0.4210.054810.0690810.08210.08210.0745210.04810.0609210.082
0.4410.09410.107210.11210.11210.110810.08210.086810.112
0.4610.12410.1335610.13210.13210.1356410.13210.1564410.132
0.4810.152810.170610.15810.15810.172410.15810.190410.158
0.510.20310.205510.20310.205510.205510.20310.205510.2055
0.5210.208210.2087210.20910.20910.2086810.20810.2082810.209
0.5410.211810.2155810.21610.21610.2150210.20910.2094210.216
0.5610.226210.2406810.23310.23310.2349210.23310.2733210.233
0.5810.271410.2931610.28110.28110.2880410.28110.3008410.281
0.610.31310.323810.31310.32210.320210.31310.320210.331
0.6210.341610.3744610.38410.38410.3617410.33110.3405410.384
0.6410.391210.4023610.40210.40210.3976810.38410.4106410.402
0.6610.407410.4195810.41110.41110.4104610.41110.4354210.411
0.6810.437410.44410.44410.44410.44410.44410.44410.444
0.710.44410.46510.44410.45910.45310.44410.45310.474
0.7210.477210.4887210.4910.4910.4816810.47410.4752810.49
0.7410.5110.5401410.5410.5410.52310.4910.5408610.54
0.7610.540610.5525210.54110.54110.5408410.54110.5614810.541
0.7810.566610.6118610.57310.57310.5743410.57310.6011410.64
0.810.6410.645610.6410.643510.641410.6410.641410.647
0.8210.648810.6567810.65610.65610.6504210.64710.6942210.656
0.8410.671610.7168410.69510.69510.6778410.65610.7641610.695
0.8610.749610.8080810.78610.78610.7623410.78610.8119210.786
0.8810.824410.8346810.83410.83410.8301610.83410.8343210.835
0.910.83510.836810.83510.83610.835210.83510.835210.837
0.9210.842810.8718810.86610.86610.8451210.83710.9091210.866
0.9410.885610.9245210.91510.91510.8885410.86610.9334810.915
0.9610.931811.077410.94310.94310.9329210.94311.048611.183
0.9811.13511.4318211.18311.18311.139811.18311.2531811.502

\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
0.02 & 9.1324 & 9.13314 & 9.162 & 9.162 & 9.1638 & 9.125 & 9.15386 & 9.125 \tabularnewline
0.04 & 9.166 & 9.1664 & 9.172 & 9.172 & 9.19108 & 9.162 & 9.1676 & 9.162 \tabularnewline
0.06 & 9.2038 & 9.20698 & 9.225 & 9.225 & 9.33516 & 9.225 & 9.19002 & 9.225 \tabularnewline
0.08 & 9.3882 & 9.40452 & 9.429 & 9.429 & 9.4362 & 9.429 & 9.24948 & 9.429 \tabularnewline
0.1 & 9.439 & 9.4392 & 9.439 & 9.44 & 9.4408 & 9.439 & 9.4408 & 9.439 \tabularnewline
0.12 & 9.455 & 9.4634 & 9.511 & 9.511 & 9.5262 & 9.441 & 9.4886 & 9.441 \tabularnewline
0.14 & 9.587 & 9.6136 & 9.701 & 9.701 & 9.71296 & 9.511 & 9.5984 & 9.701 \tabularnewline
0.16 & 9.7286 & 9.73596 & 9.747 & 9.747 & 9.7514 & 9.747 & 9.71204 & 9.747 \tabularnewline
0.18 & 9.755 & 9.7568 & 9.757 & 9.757 & 9.7725 & 9.757 & 9.7472 & 9.757 \tabularnewline
0.2 & 9.782 & 9.7894 & 9.782 & 9.8005 & 9.8116 & 9.782 & 9.8116 & 9.782 \tabularnewline
0.22 & 9.821 & 9.8232 & 9.829 & 9.829 & 9.8288 & 9.819 & 9.8248 & 9.819 \tabularnewline
0.24 & 9.8302 & 9.83092 & 9.832 & 9.832 & 9.8336 & 9.829 & 9.83008 & 9.832 \tabularnewline
0.26 & 9.838 & 9.8406 & 9.842 & 9.842 & 9.84438 & 9.842 & 9.8334 & 9.842 \tabularnewline
0.28 & 9.8476 & 9.85044 & 9.849 & 9.849 & 9.85836 & 9.849 & 9.86556 & 9.849 \tabularnewline
0.3 & 9.867 & 9.8727 & 9.867 & 9.8765 & 9.8803 & 9.867 & 9.8803 & 9.867 \tabularnewline
0.32 & 9.8918 & 9.90108 & 9.915 & 9.915 & 9.91152 & 9.886 & 9.89992 & 9.915 \tabularnewline
0.34 & 9.927 & 9.9372 & 9.945 & 9.945 & 9.9456 & 9.915 & 9.9228 & 9.945 \tabularnewline
0.36 & 9.951 & 9.9546 & 9.955 & 9.955 & 9.95692 & 9.955 & 9.9454 & 9.955 \tabularnewline
0.38 & 9.9614 & 9.96696 & 9.963 & 9.963 & 9.97224 & 9.963 & 9.98104 & 9.963 \tabularnewline
0.4 & 9.985 & 10.0102 & 9.985 & 10.0165 & 10.0228 & 9.985 & 10.0228 & 9.985 \tabularnewline
0.42 & 10.0548 & 10.06908 & 10.082 & 10.082 & 10.07452 & 10.048 & 10.06092 & 10.082 \tabularnewline
0.44 & 10.094 & 10.1072 & 10.112 & 10.112 & 10.1108 & 10.082 & 10.0868 & 10.112 \tabularnewline
0.46 & 10.124 & 10.13356 & 10.132 & 10.132 & 10.13564 & 10.132 & 10.15644 & 10.132 \tabularnewline
0.48 & 10.1528 & 10.1706 & 10.158 & 10.158 & 10.1724 & 10.158 & 10.1904 & 10.158 \tabularnewline
0.5 & 10.203 & 10.2055 & 10.203 & 10.2055 & 10.2055 & 10.203 & 10.2055 & 10.2055 \tabularnewline
0.52 & 10.2082 & 10.20872 & 10.209 & 10.209 & 10.20868 & 10.208 & 10.20828 & 10.209 \tabularnewline
0.54 & 10.2118 & 10.21558 & 10.216 & 10.216 & 10.21502 & 10.209 & 10.20942 & 10.216 \tabularnewline
0.56 & 10.2262 & 10.24068 & 10.233 & 10.233 & 10.23492 & 10.233 & 10.27332 & 10.233 \tabularnewline
0.58 & 10.2714 & 10.29316 & 10.281 & 10.281 & 10.28804 & 10.281 & 10.30084 & 10.281 \tabularnewline
0.6 & 10.313 & 10.3238 & 10.313 & 10.322 & 10.3202 & 10.313 & 10.3202 & 10.331 \tabularnewline
0.62 & 10.3416 & 10.37446 & 10.384 & 10.384 & 10.36174 & 10.331 & 10.34054 & 10.384 \tabularnewline
0.64 & 10.3912 & 10.40236 & 10.402 & 10.402 & 10.39768 & 10.384 & 10.41064 & 10.402 \tabularnewline
0.66 & 10.4074 & 10.41958 & 10.411 & 10.411 & 10.41046 & 10.411 & 10.43542 & 10.411 \tabularnewline
0.68 & 10.4374 & 10.444 & 10.444 & 10.444 & 10.444 & 10.444 & 10.444 & 10.444 \tabularnewline
0.7 & 10.444 & 10.465 & 10.444 & 10.459 & 10.453 & 10.444 & 10.453 & 10.474 \tabularnewline
0.72 & 10.4772 & 10.48872 & 10.49 & 10.49 & 10.48168 & 10.474 & 10.47528 & 10.49 \tabularnewline
0.74 & 10.51 & 10.54014 & 10.54 & 10.54 & 10.523 & 10.49 & 10.54086 & 10.54 \tabularnewline
0.76 & 10.5406 & 10.55252 & 10.541 & 10.541 & 10.54084 & 10.541 & 10.56148 & 10.541 \tabularnewline
0.78 & 10.5666 & 10.61186 & 10.573 & 10.573 & 10.57434 & 10.573 & 10.60114 & 10.64 \tabularnewline
0.8 & 10.64 & 10.6456 & 10.64 & 10.6435 & 10.6414 & 10.64 & 10.6414 & 10.647 \tabularnewline
0.82 & 10.6488 & 10.65678 & 10.656 & 10.656 & 10.65042 & 10.647 & 10.69422 & 10.656 \tabularnewline
0.84 & 10.6716 & 10.71684 & 10.695 & 10.695 & 10.67784 & 10.656 & 10.76416 & 10.695 \tabularnewline
0.86 & 10.7496 & 10.80808 & 10.786 & 10.786 & 10.76234 & 10.786 & 10.81192 & 10.786 \tabularnewline
0.88 & 10.8244 & 10.83468 & 10.834 & 10.834 & 10.83016 & 10.834 & 10.83432 & 10.835 \tabularnewline
0.9 & 10.835 & 10.8368 & 10.835 & 10.836 & 10.8352 & 10.835 & 10.8352 & 10.837 \tabularnewline
0.92 & 10.8428 & 10.87188 & 10.866 & 10.866 & 10.84512 & 10.837 & 10.90912 & 10.866 \tabularnewline
0.94 & 10.8856 & 10.92452 & 10.915 & 10.915 & 10.88854 & 10.866 & 10.93348 & 10.915 \tabularnewline
0.96 & 10.9318 & 11.0774 & 10.943 & 10.943 & 10.93292 & 10.943 & 11.0486 & 11.183 \tabularnewline
0.98 & 11.135 & 11.43182 & 11.183 & 11.183 & 11.1398 & 11.183 & 11.25318 & 11.502 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=149995&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]0.02[/C][C]9.1324[/C][C]9.13314[/C][C]9.162[/C][C]9.162[/C][C]9.1638[/C][C]9.125[/C][C]9.15386[/C][C]9.125[/C][/ROW]
[ROW][C]0.04[/C][C]9.166[/C][C]9.1664[/C][C]9.172[/C][C]9.172[/C][C]9.19108[/C][C]9.162[/C][C]9.1676[/C][C]9.162[/C][/ROW]
[ROW][C]0.06[/C][C]9.2038[/C][C]9.20698[/C][C]9.225[/C][C]9.225[/C][C]9.33516[/C][C]9.225[/C][C]9.19002[/C][C]9.225[/C][/ROW]
[ROW][C]0.08[/C][C]9.3882[/C][C]9.40452[/C][C]9.429[/C][C]9.429[/C][C]9.4362[/C][C]9.429[/C][C]9.24948[/C][C]9.429[/C][/ROW]
[ROW][C]0.1[/C][C]9.439[/C][C]9.4392[/C][C]9.439[/C][C]9.44[/C][C]9.4408[/C][C]9.439[/C][C]9.4408[/C][C]9.439[/C][/ROW]
[ROW][C]0.12[/C][C]9.455[/C][C]9.4634[/C][C]9.511[/C][C]9.511[/C][C]9.5262[/C][C]9.441[/C][C]9.4886[/C][C]9.441[/C][/ROW]
[ROW][C]0.14[/C][C]9.587[/C][C]9.6136[/C][C]9.701[/C][C]9.701[/C][C]9.71296[/C][C]9.511[/C][C]9.5984[/C][C]9.701[/C][/ROW]
[ROW][C]0.16[/C][C]9.7286[/C][C]9.73596[/C][C]9.747[/C][C]9.747[/C][C]9.7514[/C][C]9.747[/C][C]9.71204[/C][C]9.747[/C][/ROW]
[ROW][C]0.18[/C][C]9.755[/C][C]9.7568[/C][C]9.757[/C][C]9.757[/C][C]9.7725[/C][C]9.757[/C][C]9.7472[/C][C]9.757[/C][/ROW]
[ROW][C]0.2[/C][C]9.782[/C][C]9.7894[/C][C]9.782[/C][C]9.8005[/C][C]9.8116[/C][C]9.782[/C][C]9.8116[/C][C]9.782[/C][/ROW]
[ROW][C]0.22[/C][C]9.821[/C][C]9.8232[/C][C]9.829[/C][C]9.829[/C][C]9.8288[/C][C]9.819[/C][C]9.8248[/C][C]9.819[/C][/ROW]
[ROW][C]0.24[/C][C]9.8302[/C][C]9.83092[/C][C]9.832[/C][C]9.832[/C][C]9.8336[/C][C]9.829[/C][C]9.83008[/C][C]9.832[/C][/ROW]
[ROW][C]0.26[/C][C]9.838[/C][C]9.8406[/C][C]9.842[/C][C]9.842[/C][C]9.84438[/C][C]9.842[/C][C]9.8334[/C][C]9.842[/C][/ROW]
[ROW][C]0.28[/C][C]9.8476[/C][C]9.85044[/C][C]9.849[/C][C]9.849[/C][C]9.85836[/C][C]9.849[/C][C]9.86556[/C][C]9.849[/C][/ROW]
[ROW][C]0.3[/C][C]9.867[/C][C]9.8727[/C][C]9.867[/C][C]9.8765[/C][C]9.8803[/C][C]9.867[/C][C]9.8803[/C][C]9.867[/C][/ROW]
[ROW][C]0.32[/C][C]9.8918[/C][C]9.90108[/C][C]9.915[/C][C]9.915[/C][C]9.91152[/C][C]9.886[/C][C]9.89992[/C][C]9.915[/C][/ROW]
[ROW][C]0.34[/C][C]9.927[/C][C]9.9372[/C][C]9.945[/C][C]9.945[/C][C]9.9456[/C][C]9.915[/C][C]9.9228[/C][C]9.945[/C][/ROW]
[ROW][C]0.36[/C][C]9.951[/C][C]9.9546[/C][C]9.955[/C][C]9.955[/C][C]9.95692[/C][C]9.955[/C][C]9.9454[/C][C]9.955[/C][/ROW]
[ROW][C]0.38[/C][C]9.9614[/C][C]9.96696[/C][C]9.963[/C][C]9.963[/C][C]9.97224[/C][C]9.963[/C][C]9.98104[/C][C]9.963[/C][/ROW]
[ROW][C]0.4[/C][C]9.985[/C][C]10.0102[/C][C]9.985[/C][C]10.0165[/C][C]10.0228[/C][C]9.985[/C][C]10.0228[/C][C]9.985[/C][/ROW]
[ROW][C]0.42[/C][C]10.0548[/C][C]10.06908[/C][C]10.082[/C][C]10.082[/C][C]10.07452[/C][C]10.048[/C][C]10.06092[/C][C]10.082[/C][/ROW]
[ROW][C]0.44[/C][C]10.094[/C][C]10.1072[/C][C]10.112[/C][C]10.112[/C][C]10.1108[/C][C]10.082[/C][C]10.0868[/C][C]10.112[/C][/ROW]
[ROW][C]0.46[/C][C]10.124[/C][C]10.13356[/C][C]10.132[/C][C]10.132[/C][C]10.13564[/C][C]10.132[/C][C]10.15644[/C][C]10.132[/C][/ROW]
[ROW][C]0.48[/C][C]10.1528[/C][C]10.1706[/C][C]10.158[/C][C]10.158[/C][C]10.1724[/C][C]10.158[/C][C]10.1904[/C][C]10.158[/C][/ROW]
[ROW][C]0.5[/C][C]10.203[/C][C]10.2055[/C][C]10.203[/C][C]10.2055[/C][C]10.2055[/C][C]10.203[/C][C]10.2055[/C][C]10.2055[/C][/ROW]
[ROW][C]0.52[/C][C]10.2082[/C][C]10.20872[/C][C]10.209[/C][C]10.209[/C][C]10.20868[/C][C]10.208[/C][C]10.20828[/C][C]10.209[/C][/ROW]
[ROW][C]0.54[/C][C]10.2118[/C][C]10.21558[/C][C]10.216[/C][C]10.216[/C][C]10.21502[/C][C]10.209[/C][C]10.20942[/C][C]10.216[/C][/ROW]
[ROW][C]0.56[/C][C]10.2262[/C][C]10.24068[/C][C]10.233[/C][C]10.233[/C][C]10.23492[/C][C]10.233[/C][C]10.27332[/C][C]10.233[/C][/ROW]
[ROW][C]0.58[/C][C]10.2714[/C][C]10.29316[/C][C]10.281[/C][C]10.281[/C][C]10.28804[/C][C]10.281[/C][C]10.30084[/C][C]10.281[/C][/ROW]
[ROW][C]0.6[/C][C]10.313[/C][C]10.3238[/C][C]10.313[/C][C]10.322[/C][C]10.3202[/C][C]10.313[/C][C]10.3202[/C][C]10.331[/C][/ROW]
[ROW][C]0.62[/C][C]10.3416[/C][C]10.37446[/C][C]10.384[/C][C]10.384[/C][C]10.36174[/C][C]10.331[/C][C]10.34054[/C][C]10.384[/C][/ROW]
[ROW][C]0.64[/C][C]10.3912[/C][C]10.40236[/C][C]10.402[/C][C]10.402[/C][C]10.39768[/C][C]10.384[/C][C]10.41064[/C][C]10.402[/C][/ROW]
[ROW][C]0.66[/C][C]10.4074[/C][C]10.41958[/C][C]10.411[/C][C]10.411[/C][C]10.41046[/C][C]10.411[/C][C]10.43542[/C][C]10.411[/C][/ROW]
[ROW][C]0.68[/C][C]10.4374[/C][C]10.444[/C][C]10.444[/C][C]10.444[/C][C]10.444[/C][C]10.444[/C][C]10.444[/C][C]10.444[/C][/ROW]
[ROW][C]0.7[/C][C]10.444[/C][C]10.465[/C][C]10.444[/C][C]10.459[/C][C]10.453[/C][C]10.444[/C][C]10.453[/C][C]10.474[/C][/ROW]
[ROW][C]0.72[/C][C]10.4772[/C][C]10.48872[/C][C]10.49[/C][C]10.49[/C][C]10.48168[/C][C]10.474[/C][C]10.47528[/C][C]10.49[/C][/ROW]
[ROW][C]0.74[/C][C]10.51[/C][C]10.54014[/C][C]10.54[/C][C]10.54[/C][C]10.523[/C][C]10.49[/C][C]10.54086[/C][C]10.54[/C][/ROW]
[ROW][C]0.76[/C][C]10.5406[/C][C]10.55252[/C][C]10.541[/C][C]10.541[/C][C]10.54084[/C][C]10.541[/C][C]10.56148[/C][C]10.541[/C][/ROW]
[ROW][C]0.78[/C][C]10.5666[/C][C]10.61186[/C][C]10.573[/C][C]10.573[/C][C]10.57434[/C][C]10.573[/C][C]10.60114[/C][C]10.64[/C][/ROW]
[ROW][C]0.8[/C][C]10.64[/C][C]10.6456[/C][C]10.64[/C][C]10.6435[/C][C]10.6414[/C][C]10.64[/C][C]10.6414[/C][C]10.647[/C][/ROW]
[ROW][C]0.82[/C][C]10.6488[/C][C]10.65678[/C][C]10.656[/C][C]10.656[/C][C]10.65042[/C][C]10.647[/C][C]10.69422[/C][C]10.656[/C][/ROW]
[ROW][C]0.84[/C][C]10.6716[/C][C]10.71684[/C][C]10.695[/C][C]10.695[/C][C]10.67784[/C][C]10.656[/C][C]10.76416[/C][C]10.695[/C][/ROW]
[ROW][C]0.86[/C][C]10.7496[/C][C]10.80808[/C][C]10.786[/C][C]10.786[/C][C]10.76234[/C][C]10.786[/C][C]10.81192[/C][C]10.786[/C][/ROW]
[ROW][C]0.88[/C][C]10.8244[/C][C]10.83468[/C][C]10.834[/C][C]10.834[/C][C]10.83016[/C][C]10.834[/C][C]10.83432[/C][C]10.835[/C][/ROW]
[ROW][C]0.9[/C][C]10.835[/C][C]10.8368[/C][C]10.835[/C][C]10.836[/C][C]10.8352[/C][C]10.835[/C][C]10.8352[/C][C]10.837[/C][/ROW]
[ROW][C]0.92[/C][C]10.8428[/C][C]10.87188[/C][C]10.866[/C][C]10.866[/C][C]10.84512[/C][C]10.837[/C][C]10.90912[/C][C]10.866[/C][/ROW]
[ROW][C]0.94[/C][C]10.8856[/C][C]10.92452[/C][C]10.915[/C][C]10.915[/C][C]10.88854[/C][C]10.866[/C][C]10.93348[/C][C]10.915[/C][/ROW]
[ROW][C]0.96[/C][C]10.9318[/C][C]11.0774[/C][C]10.943[/C][C]10.943[/C][C]10.93292[/C][C]10.943[/C][C]11.0486[/C][C]11.183[/C][/ROW]
[ROW][C]0.98[/C][C]11.135[/C][C]11.43182[/C][C]11.183[/C][C]11.183[/C][C]11.1398[/C][C]11.183[/C][C]11.25318[/C][C]11.502[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=149995&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=149995&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)
0.029.13249.133149.1629.1629.16389.1259.153869.125
0.049.1669.16649.1729.1729.191089.1629.16769.162
0.069.20389.206989.2259.2259.335169.2259.190029.225
0.089.38829.404529.4299.4299.43629.4299.249489.429
0.19.4399.43929.4399.449.44089.4399.44089.439
0.129.4559.46349.5119.5119.52629.4419.48869.441
0.149.5879.61369.7019.7019.712969.5119.59849.701
0.169.72869.735969.7479.7479.75149.7479.712049.747
0.189.7559.75689.7579.7579.77259.7579.74729.757
0.29.7829.78949.7829.80059.81169.7829.81169.782
0.229.8219.82329.8299.8299.82889.8199.82489.819
0.249.83029.830929.8329.8329.83369.8299.830089.832
0.269.8389.84069.8429.8429.844389.8429.83349.842
0.289.84769.850449.8499.8499.858369.8499.865569.849
0.39.8679.87279.8679.87659.88039.8679.88039.867
0.329.89189.901089.9159.9159.911529.8869.899929.915
0.349.9279.93729.9459.9459.94569.9159.92289.945
0.369.9519.95469.9559.9559.956929.9559.94549.955
0.389.96149.966969.9639.9639.972249.9639.981049.963
0.49.98510.01029.98510.016510.02289.98510.02289.985
0.4210.054810.0690810.08210.08210.0745210.04810.0609210.082
0.4410.09410.107210.11210.11210.110810.08210.086810.112
0.4610.12410.1335610.13210.13210.1356410.13210.1564410.132
0.4810.152810.170610.15810.15810.172410.15810.190410.158
0.510.20310.205510.20310.205510.205510.20310.205510.2055
0.5210.208210.2087210.20910.20910.2086810.20810.2082810.209
0.5410.211810.2155810.21610.21610.2150210.20910.2094210.216
0.5610.226210.2406810.23310.23310.2349210.23310.2733210.233
0.5810.271410.2931610.28110.28110.2880410.28110.3008410.281
0.610.31310.323810.31310.32210.320210.31310.320210.331
0.6210.341610.3744610.38410.38410.3617410.33110.3405410.384
0.6410.391210.4023610.40210.40210.3976810.38410.4106410.402
0.6610.407410.4195810.41110.41110.4104610.41110.4354210.411
0.6810.437410.44410.44410.44410.44410.44410.44410.444
0.710.44410.46510.44410.45910.45310.44410.45310.474
0.7210.477210.4887210.4910.4910.4816810.47410.4752810.49
0.7410.5110.5401410.5410.5410.52310.4910.5408610.54
0.7610.540610.5525210.54110.54110.5408410.54110.5614810.541
0.7810.566610.6118610.57310.57310.5743410.57310.6011410.64
0.810.6410.645610.6410.643510.641410.6410.641410.647
0.8210.648810.6567810.65610.65610.6504210.64710.6942210.656
0.8410.671610.7168410.69510.69510.6778410.65610.7641610.695
0.8610.749610.8080810.78610.78610.7623410.78610.8119210.786
0.8810.824410.8346810.83410.83410.8301610.83410.8343210.835
0.910.83510.836810.83510.83610.835210.83510.835210.837
0.9210.842810.8718810.86610.86610.8451210.83710.9091210.866
0.9410.885610.9245210.91510.91510.8885410.86610.9334810.915
0.9610.931811.077410.94310.94310.9329210.94311.048611.183
0.9811.13511.4318211.18311.18311.139811.18311.2531811.502



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')