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rwasp_percentiles.wasp

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Percentiles

Date of computation

Sun, 19 Oct 2008 12:58:59 -0600

Cite this page as follows

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2008/Oct/19/t12244427838u1ennpuy7q2ebi.htm/, Retrieved Sun, 19 May 2024 12:58:28 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=17054, Retrieved Sun, 19 May 2024 12:58:28 +0000

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No (this computation is public)

User-defined keywords

Estimated Impact

175

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)

F     [Univariate Data Series] [blog 1e tijdreeks...] [2008-10-13 19:23:31] [7173087adebe3e3a714c80ea2417b3eb]
-   PD  [Univariate Data Series] [tijdreeksen opnie...] [2008-10-19 17:13:12] [7173087adebe3e3a714c80ea2417b3eb]
-   PD    [Univariate Data Series] [tijdreeksen opnie...] [2008-10-19 18:55:20] [7173087adebe3e3a714c80ea2417b3eb]
- RM          [Percentiles] [percentiles reeks 1] [2008-10-19 18:58:59] [95d95b0e883740fcbc85e18ec42dcafb] [Current]

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Summary of computational transaction
Raw Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	2 seconds
R Server	'Sir Ronald Aylmer Fisher' @ 193.190.124.24

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 2 seconds \tabularnewline
R Server & 'Sir Ronald Aylmer Fisher' @ 193.190.124.24 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=17054&T=0

[TABLE]
[ROW][C]Summary of computational transaction[/C][/ROW]
[ROW][C]Raw Input[/C][C]view raw input (R code) [/C][/ROW]
[ROW][C]Raw Output[/C][C]view raw output of R engine [/C][/ROW]
[ROW][C]Computing time[/C][C]2 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Sir Ronald Aylmer Fisher' @ 193.190.124.24[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=17054&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=17054&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 Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	2 seconds
R Server	'Sir Ronald Aylmer Fisher' @ 193.190.124.24

Percentiles - Ungrouped Data
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)
0.02	4994	4994.5	5014	5014	5116.6	4989	5008.5	4989
0.04	5242	5264.8	5584	5584	5585.8	5014	5333.2	5014
0.06	5587	5587.3	5589	5589	5640.3	5589	5585.7	5589
0.08	5665	5672.6	5684	5684	5774	5684	5600.4	5684
0.1	5809	5818.2	5809	5855	5891.8	5809	5891.8	5809
0.12	5907	5910.6	5931	5931	5940.84	5901	5921.4	5901
0.14	5980.2	5997.42	6054	6054	6056.08	5931	5987.58	6054
0.16	6058.8	6060.08	6062	6062	6068.6	6062	6055.92	6062
0.18	6074	6076.7	6077	6077	6104.9	6077	6062.3	6077
0.2	6122	6128.2	6122	6137.5	6146.8	6122	6146.8	6122
0.22	6161.8	6171.48	6197	6197	6196.12	6153	6178.52	6153
0.24	6204.6	6209.16	6216	6216	6227.52	6197	6203.84	6216
0.26	6259.2	6277.92	6288	6288	6289.36	6288	6226.08	6288
0.28	6291.2	6293.68	6292	6292	6302.92	6292	6311.32	6292
0.3	6313	6320.2	6313	6325	6329.8	6313	6329.8	6313
0.32	6347.8	6365.08	6391	6391	6384.52	6337	6362.92	6391
0.34	6395	6398.4	6401	6401	6402.56	6391	6393.6	6401
0.36	6416.6	6425.96	6427	6427	6430.36	6427	6402.04	6427
0.38	6438.2	6445.86	6441	6441	6452.34	6441	6463.14	6441
0.4	6468	6473.2	6468	6474.5	6475.8	6468	6475.8	6468
0.42	6481.8	6483.48	6485	6485	6484.12	6481	6482.52	6485
0.44	6491.4	6498.44	6501	6501	6500.36	6485	6487.56	6501
0.46	6553.8	6596.02	6589	6589	6605.38	6589	6698.98	6589
0.48	6682.6	6712.44	6706	6706	6713.36	6706	6722.56	6706
0.5	6729	6743.5	6729	6743.5	6743.5	6729	6743.5	6743.5
0.52	6784.2	6852.32	6889	6889	6847.08	6758	6794.68	6889
0.54	6904.2	6924.72	6927	6927	6921.68	6889	6891.28	6927
0.56	6935.4	6953.16	6941	6941	6944.04	6941	7004.84	6941
0.58	7001.8	7038.28	7017	7017	7029.32	7017	7051.72	7017
0.6	7073	7081.4	7073	7080	7078.6	7073	7078.6	7087
0.62	7101.2	7145.22	7158	7158	7128.18	7087	7099.78	7158
0.64	7161.6	7167.28	7167	7167	7164.84	7158	7173.72	7167
0.66	7171.2	7230.16	7174	7174	7173.58	7174	7333.84	7174
0.68	7346.8	7406.32	7390	7390	7394.08	7390	7407.68	7390
0.7	7424	7478.6	7424	7463	7447.4	7424	7447.4	7502
0.72	7532.4	7641.84	7654	7654	7574.96	7502	7514.16	7654
0.74	7672.8	7704.78	7701	7701	7685.02	7654	7724.22	7701
0.76	7717.2	7745.28	7728	7728	7723.68	7728	7758.72	7728
0.78	7766.4	7777.16	7776	7776	7776.04	7776	7776.84	7778
0.8	7778	7816.4	7778	7802	7787.6	7778	7787.6	7826
0.82	7843.6	7917.22	7914	7914	7859.44	7826	8071.78	7914
0.84	7978.4	8082.2	8075	8075	8004.16	7914	8097.8	8075
0.86	8093	8113.74	8105	8105	8097.2	8105	8115.26	8105
0.88	8120.2	8172.28	8124	8124	8122.48	8124	8146.72	8195
0.9	8195	8489.3	8195	8358.5	8227.7	8195	8227.7	8522
0.92	8532.4	8574.24	8574	8574	8536.56	8522	8575.76	8574
0.94	8574.8	8617.82	8576	8576	8574.92	8574	8657.18	8576
0.96	8649.8	8887.16	8699	8699	8654.72	8699	8846.84	9035
0.98	8967.8	9139.52	9035	9035	8974.52	9035	9064.48	9169

\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 & 4994 & 4994.5 & 5014 & 5014 & 5116.6 & 4989 & 5008.5 & 4989 \tabularnewline
0.04 & 5242 & 5264.8 & 5584 & 5584 & 5585.8 & 5014 & 5333.2 & 5014 \tabularnewline
0.06 & 5587 & 5587.3 & 5589 & 5589 & 5640.3 & 5589 & 5585.7 & 5589 \tabularnewline
0.08 & 5665 & 5672.6 & 5684 & 5684 & 5774 & 5684 & 5600.4 & 5684 \tabularnewline
0.1 & 5809 & 5818.2 & 5809 & 5855 & 5891.8 & 5809 & 5891.8 & 5809 \tabularnewline
0.12 & 5907 & 5910.6 & 5931 & 5931 & 5940.84 & 5901 & 5921.4 & 5901 \tabularnewline
0.14 & 5980.2 & 5997.42 & 6054 & 6054 & 6056.08 & 5931 & 5987.58 & 6054 \tabularnewline
0.16 & 6058.8 & 6060.08 & 6062 & 6062 & 6068.6 & 6062 & 6055.92 & 6062 \tabularnewline
0.18 & 6074 & 6076.7 & 6077 & 6077 & 6104.9 & 6077 & 6062.3 & 6077 \tabularnewline
0.2 & 6122 & 6128.2 & 6122 & 6137.5 & 6146.8 & 6122 & 6146.8 & 6122 \tabularnewline
0.22 & 6161.8 & 6171.48 & 6197 & 6197 & 6196.12 & 6153 & 6178.52 & 6153 \tabularnewline
0.24 & 6204.6 & 6209.16 & 6216 & 6216 & 6227.52 & 6197 & 6203.84 & 6216 \tabularnewline
0.26 & 6259.2 & 6277.92 & 6288 & 6288 & 6289.36 & 6288 & 6226.08 & 6288 \tabularnewline
0.28 & 6291.2 & 6293.68 & 6292 & 6292 & 6302.92 & 6292 & 6311.32 & 6292 \tabularnewline
0.3 & 6313 & 6320.2 & 6313 & 6325 & 6329.8 & 6313 & 6329.8 & 6313 \tabularnewline
0.32 & 6347.8 & 6365.08 & 6391 & 6391 & 6384.52 & 6337 & 6362.92 & 6391 \tabularnewline
0.34 & 6395 & 6398.4 & 6401 & 6401 & 6402.56 & 6391 & 6393.6 & 6401 \tabularnewline
0.36 & 6416.6 & 6425.96 & 6427 & 6427 & 6430.36 & 6427 & 6402.04 & 6427 \tabularnewline
0.38 & 6438.2 & 6445.86 & 6441 & 6441 & 6452.34 & 6441 & 6463.14 & 6441 \tabularnewline
0.4 & 6468 & 6473.2 & 6468 & 6474.5 & 6475.8 & 6468 & 6475.8 & 6468 \tabularnewline
0.42 & 6481.8 & 6483.48 & 6485 & 6485 & 6484.12 & 6481 & 6482.52 & 6485 \tabularnewline
0.44 & 6491.4 & 6498.44 & 6501 & 6501 & 6500.36 & 6485 & 6487.56 & 6501 \tabularnewline
0.46 & 6553.8 & 6596.02 & 6589 & 6589 & 6605.38 & 6589 & 6698.98 & 6589 \tabularnewline
0.48 & 6682.6 & 6712.44 & 6706 & 6706 & 6713.36 & 6706 & 6722.56 & 6706 \tabularnewline
0.5 & 6729 & 6743.5 & 6729 & 6743.5 & 6743.5 & 6729 & 6743.5 & 6743.5 \tabularnewline
0.52 & 6784.2 & 6852.32 & 6889 & 6889 & 6847.08 & 6758 & 6794.68 & 6889 \tabularnewline
0.54 & 6904.2 & 6924.72 & 6927 & 6927 & 6921.68 & 6889 & 6891.28 & 6927 \tabularnewline
0.56 & 6935.4 & 6953.16 & 6941 & 6941 & 6944.04 & 6941 & 7004.84 & 6941 \tabularnewline
0.58 & 7001.8 & 7038.28 & 7017 & 7017 & 7029.32 & 7017 & 7051.72 & 7017 \tabularnewline
0.6 & 7073 & 7081.4 & 7073 & 7080 & 7078.6 & 7073 & 7078.6 & 7087 \tabularnewline
0.62 & 7101.2 & 7145.22 & 7158 & 7158 & 7128.18 & 7087 & 7099.78 & 7158 \tabularnewline
0.64 & 7161.6 & 7167.28 & 7167 & 7167 & 7164.84 & 7158 & 7173.72 & 7167 \tabularnewline
0.66 & 7171.2 & 7230.16 & 7174 & 7174 & 7173.58 & 7174 & 7333.84 & 7174 \tabularnewline
0.68 & 7346.8 & 7406.32 & 7390 & 7390 & 7394.08 & 7390 & 7407.68 & 7390 \tabularnewline
0.7 & 7424 & 7478.6 & 7424 & 7463 & 7447.4 & 7424 & 7447.4 & 7502 \tabularnewline
0.72 & 7532.4 & 7641.84 & 7654 & 7654 & 7574.96 & 7502 & 7514.16 & 7654 \tabularnewline
0.74 & 7672.8 & 7704.78 & 7701 & 7701 & 7685.02 & 7654 & 7724.22 & 7701 \tabularnewline
0.76 & 7717.2 & 7745.28 & 7728 & 7728 & 7723.68 & 7728 & 7758.72 & 7728 \tabularnewline
0.78 & 7766.4 & 7777.16 & 7776 & 7776 & 7776.04 & 7776 & 7776.84 & 7778 \tabularnewline
0.8 & 7778 & 7816.4 & 7778 & 7802 & 7787.6 & 7778 & 7787.6 & 7826 \tabularnewline
0.82 & 7843.6 & 7917.22 & 7914 & 7914 & 7859.44 & 7826 & 8071.78 & 7914 \tabularnewline
0.84 & 7978.4 & 8082.2 & 8075 & 8075 & 8004.16 & 7914 & 8097.8 & 8075 \tabularnewline
0.86 & 8093 & 8113.74 & 8105 & 8105 & 8097.2 & 8105 & 8115.26 & 8105 \tabularnewline
0.88 & 8120.2 & 8172.28 & 8124 & 8124 & 8122.48 & 8124 & 8146.72 & 8195 \tabularnewline
0.9 & 8195 & 8489.3 & 8195 & 8358.5 & 8227.7 & 8195 & 8227.7 & 8522 \tabularnewline
0.92 & 8532.4 & 8574.24 & 8574 & 8574 & 8536.56 & 8522 & 8575.76 & 8574 \tabularnewline
0.94 & 8574.8 & 8617.82 & 8576 & 8576 & 8574.92 & 8574 & 8657.18 & 8576 \tabularnewline
0.96 & 8649.8 & 8887.16 & 8699 & 8699 & 8654.72 & 8699 & 8846.84 & 9035 \tabularnewline
0.98 & 8967.8 & 9139.52 & 9035 & 9035 & 8974.52 & 9035 & 9064.48 & 9169 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=17054&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]4994[/C][C]4994.5[/C][C]5014[/C][C]5014[/C][C]5116.6[/C][C]4989[/C][C]5008.5[/C][C]4989[/C][/ROW]
[ROW][C]0.04[/C][C]5242[/C][C]5264.8[/C][C]5584[/C][C]5584[/C][C]5585.8[/C][C]5014[/C][C]5333.2[/C][C]5014[/C][/ROW]
[ROW][C]0.06[/C][C]5587[/C][C]5587.3[/C][C]5589[/C][C]5589[/C][C]5640.3[/C][C]5589[/C][C]5585.7[/C][C]5589[/C][/ROW]
[ROW][C]0.08[/C][C]5665[/C][C]5672.6[/C][C]5684[/C][C]5684[/C][C]5774[/C][C]5684[/C][C]5600.4[/C][C]5684[/C][/ROW]
[ROW][C]0.1[/C][C]5809[/C][C]5818.2[/C][C]5809[/C][C]5855[/C][C]5891.8[/C][C]5809[/C][C]5891.8[/C][C]5809[/C][/ROW]
[ROW][C]0.12[/C][C]5907[/C][C]5910.6[/C][C]5931[/C][C]5931[/C][C]5940.84[/C][C]5901[/C][C]5921.4[/C][C]5901[/C][/ROW]
[ROW][C]0.14[/C][C]5980.2[/C][C]5997.42[/C][C]6054[/C][C]6054[/C][C]6056.08[/C][C]5931[/C][C]5987.58[/C][C]6054[/C][/ROW]
[ROW][C]0.16[/C][C]6058.8[/C][C]6060.08[/C][C]6062[/C][C]6062[/C][C]6068.6[/C][C]6062[/C][C]6055.92[/C][C]6062[/C][/ROW]
[ROW][C]0.18[/C][C]6074[/C][C]6076.7[/C][C]6077[/C][C]6077[/C][C]6104.9[/C][C]6077[/C][C]6062.3[/C][C]6077[/C][/ROW]
[ROW][C]0.2[/C][C]6122[/C][C]6128.2[/C][C]6122[/C][C]6137.5[/C][C]6146.8[/C][C]6122[/C][C]6146.8[/C][C]6122[/C][/ROW]
[ROW][C]0.22[/C][C]6161.8[/C][C]6171.48[/C][C]6197[/C][C]6197[/C][C]6196.12[/C][C]6153[/C][C]6178.52[/C][C]6153[/C][/ROW]
[ROW][C]0.24[/C][C]6204.6[/C][C]6209.16[/C][C]6216[/C][C]6216[/C][C]6227.52[/C][C]6197[/C][C]6203.84[/C][C]6216[/C][/ROW]
[ROW][C]0.26[/C][C]6259.2[/C][C]6277.92[/C][C]6288[/C][C]6288[/C][C]6289.36[/C][C]6288[/C][C]6226.08[/C][C]6288[/C][/ROW]
[ROW][C]0.28[/C][C]6291.2[/C][C]6293.68[/C][C]6292[/C][C]6292[/C][C]6302.92[/C][C]6292[/C][C]6311.32[/C][C]6292[/C][/ROW]
[ROW][C]0.3[/C][C]6313[/C][C]6320.2[/C][C]6313[/C][C]6325[/C][C]6329.8[/C][C]6313[/C][C]6329.8[/C][C]6313[/C][/ROW]
[ROW][C]0.32[/C][C]6347.8[/C][C]6365.08[/C][C]6391[/C][C]6391[/C][C]6384.52[/C][C]6337[/C][C]6362.92[/C][C]6391[/C][/ROW]
[ROW][C]0.34[/C][C]6395[/C][C]6398.4[/C][C]6401[/C][C]6401[/C][C]6402.56[/C][C]6391[/C][C]6393.6[/C][C]6401[/C][/ROW]
[ROW][C]0.36[/C][C]6416.6[/C][C]6425.96[/C][C]6427[/C][C]6427[/C][C]6430.36[/C][C]6427[/C][C]6402.04[/C][C]6427[/C][/ROW]
[ROW][C]0.38[/C][C]6438.2[/C][C]6445.86[/C][C]6441[/C][C]6441[/C][C]6452.34[/C][C]6441[/C][C]6463.14[/C][C]6441[/C][/ROW]
[ROW][C]0.4[/C][C]6468[/C][C]6473.2[/C][C]6468[/C][C]6474.5[/C][C]6475.8[/C][C]6468[/C][C]6475.8[/C][C]6468[/C][/ROW]
[ROW][C]0.42[/C][C]6481.8[/C][C]6483.48[/C][C]6485[/C][C]6485[/C][C]6484.12[/C][C]6481[/C][C]6482.52[/C][C]6485[/C][/ROW]
[ROW][C]0.44[/C][C]6491.4[/C][C]6498.44[/C][C]6501[/C][C]6501[/C][C]6500.36[/C][C]6485[/C][C]6487.56[/C][C]6501[/C][/ROW]
[ROW][C]0.46[/C][C]6553.8[/C][C]6596.02[/C][C]6589[/C][C]6589[/C][C]6605.38[/C][C]6589[/C][C]6698.98[/C][C]6589[/C][/ROW]
[ROW][C]0.48[/C][C]6682.6[/C][C]6712.44[/C][C]6706[/C][C]6706[/C][C]6713.36[/C][C]6706[/C][C]6722.56[/C][C]6706[/C][/ROW]
[ROW][C]0.5[/C][C]6729[/C][C]6743.5[/C][C]6729[/C][C]6743.5[/C][C]6743.5[/C][C]6729[/C][C]6743.5[/C][C]6743.5[/C][/ROW]
[ROW][C]0.52[/C][C]6784.2[/C][C]6852.32[/C][C]6889[/C][C]6889[/C][C]6847.08[/C][C]6758[/C][C]6794.68[/C][C]6889[/C][/ROW]
[ROW][C]0.54[/C][C]6904.2[/C][C]6924.72[/C][C]6927[/C][C]6927[/C][C]6921.68[/C][C]6889[/C][C]6891.28[/C][C]6927[/C][/ROW]
[ROW][C]0.56[/C][C]6935.4[/C][C]6953.16[/C][C]6941[/C][C]6941[/C][C]6944.04[/C][C]6941[/C][C]7004.84[/C][C]6941[/C][/ROW]
[ROW][C]0.58[/C][C]7001.8[/C][C]7038.28[/C][C]7017[/C][C]7017[/C][C]7029.32[/C][C]7017[/C][C]7051.72[/C][C]7017[/C][/ROW]
[ROW][C]0.6[/C][C]7073[/C][C]7081.4[/C][C]7073[/C][C]7080[/C][C]7078.6[/C][C]7073[/C][C]7078.6[/C][C]7087[/C][/ROW]
[ROW][C]0.62[/C][C]7101.2[/C][C]7145.22[/C][C]7158[/C][C]7158[/C][C]7128.18[/C][C]7087[/C][C]7099.78[/C][C]7158[/C][/ROW]
[ROW][C]0.64[/C][C]7161.6[/C][C]7167.28[/C][C]7167[/C][C]7167[/C][C]7164.84[/C][C]7158[/C][C]7173.72[/C][C]7167[/C][/ROW]
[ROW][C]0.66[/C][C]7171.2[/C][C]7230.16[/C][C]7174[/C][C]7174[/C][C]7173.58[/C][C]7174[/C][C]7333.84[/C][C]7174[/C][/ROW]
[ROW][C]0.68[/C][C]7346.8[/C][C]7406.32[/C][C]7390[/C][C]7390[/C][C]7394.08[/C][C]7390[/C][C]7407.68[/C][C]7390[/C][/ROW]
[ROW][C]0.7[/C][C]7424[/C][C]7478.6[/C][C]7424[/C][C]7463[/C][C]7447.4[/C][C]7424[/C][C]7447.4[/C][C]7502[/C][/ROW]
[ROW][C]0.72[/C][C]7532.4[/C][C]7641.84[/C][C]7654[/C][C]7654[/C][C]7574.96[/C][C]7502[/C][C]7514.16[/C][C]7654[/C][/ROW]
[ROW][C]0.74[/C][C]7672.8[/C][C]7704.78[/C][C]7701[/C][C]7701[/C][C]7685.02[/C][C]7654[/C][C]7724.22[/C][C]7701[/C][/ROW]
[ROW][C]0.76[/C][C]7717.2[/C][C]7745.28[/C][C]7728[/C][C]7728[/C][C]7723.68[/C][C]7728[/C][C]7758.72[/C][C]7728[/C][/ROW]
[ROW][C]0.78[/C][C]7766.4[/C][C]7777.16[/C][C]7776[/C][C]7776[/C][C]7776.04[/C][C]7776[/C][C]7776.84[/C][C]7778[/C][/ROW]
[ROW][C]0.8[/C][C]7778[/C][C]7816.4[/C][C]7778[/C][C]7802[/C][C]7787.6[/C][C]7778[/C][C]7787.6[/C][C]7826[/C][/ROW]
[ROW][C]0.82[/C][C]7843.6[/C][C]7917.22[/C][C]7914[/C][C]7914[/C][C]7859.44[/C][C]7826[/C][C]8071.78[/C][C]7914[/C][/ROW]
[ROW][C]0.84[/C][C]7978.4[/C][C]8082.2[/C][C]8075[/C][C]8075[/C][C]8004.16[/C][C]7914[/C][C]8097.8[/C][C]8075[/C][/ROW]
[ROW][C]0.86[/C][C]8093[/C][C]8113.74[/C][C]8105[/C][C]8105[/C][C]8097.2[/C][C]8105[/C][C]8115.26[/C][C]8105[/C][/ROW]
[ROW][C]0.88[/C][C]8120.2[/C][C]8172.28[/C][C]8124[/C][C]8124[/C][C]8122.48[/C][C]8124[/C][C]8146.72[/C][C]8195[/C][/ROW]
[ROW][C]0.9[/C][C]8195[/C][C]8489.3[/C][C]8195[/C][C]8358.5[/C][C]8227.7[/C][C]8195[/C][C]8227.7[/C][C]8522[/C][/ROW]
[ROW][C]0.92[/C][C]8532.4[/C][C]8574.24[/C][C]8574[/C][C]8574[/C][C]8536.56[/C][C]8522[/C][C]8575.76[/C][C]8574[/C][/ROW]
[ROW][C]0.94[/C][C]8574.8[/C][C]8617.82[/C][C]8576[/C][C]8576[/C][C]8574.92[/C][C]8574[/C][C]8657.18[/C][C]8576[/C][/ROW]
[ROW][C]0.96[/C][C]8649.8[/C][C]8887.16[/C][C]8699[/C][C]8699[/C][C]8654.72[/C][C]8699[/C][C]8846.84[/C][C]9035[/C][/ROW]
[ROW][C]0.98[/C][C]8967.8[/C][C]9139.52[/C][C]9035[/C][C]9035[/C][C]8974.52[/C][C]9035[/C][C]9064.48[/C][C]9169[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=17054&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=17054&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
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)
0.02	4994	4994.5	5014	5014	5116.6	4989	5008.5	4989
0.04	5242	5264.8	5584	5584	5585.8	5014	5333.2	5014
0.06	5587	5587.3	5589	5589	5640.3	5589	5585.7	5589
0.08	5665	5672.6	5684	5684	5774	5684	5600.4	5684
0.1	5809	5818.2	5809	5855	5891.8	5809	5891.8	5809
0.12	5907	5910.6	5931	5931	5940.84	5901	5921.4	5901
0.14	5980.2	5997.42	6054	6054	6056.08	5931	5987.58	6054
0.16	6058.8	6060.08	6062	6062	6068.6	6062	6055.92	6062
0.18	6074	6076.7	6077	6077	6104.9	6077	6062.3	6077
0.2	6122	6128.2	6122	6137.5	6146.8	6122	6146.8	6122
0.22	6161.8	6171.48	6197	6197	6196.12	6153	6178.52	6153
0.24	6204.6	6209.16	6216	6216	6227.52	6197	6203.84	6216
0.26	6259.2	6277.92	6288	6288	6289.36	6288	6226.08	6288
0.28	6291.2	6293.68	6292	6292	6302.92	6292	6311.32	6292
0.3	6313	6320.2	6313	6325	6329.8	6313	6329.8	6313
0.32	6347.8	6365.08	6391	6391	6384.52	6337	6362.92	6391
0.34	6395	6398.4	6401	6401	6402.56	6391	6393.6	6401
0.36	6416.6	6425.96	6427	6427	6430.36	6427	6402.04	6427
0.38	6438.2	6445.86	6441	6441	6452.34	6441	6463.14	6441
0.4	6468	6473.2	6468	6474.5	6475.8	6468	6475.8	6468
0.42	6481.8	6483.48	6485	6485	6484.12	6481	6482.52	6485
0.44	6491.4	6498.44	6501	6501	6500.36	6485	6487.56	6501
0.46	6553.8	6596.02	6589	6589	6605.38	6589	6698.98	6589
0.48	6682.6	6712.44	6706	6706	6713.36	6706	6722.56	6706
0.5	6729	6743.5	6729	6743.5	6743.5	6729	6743.5	6743.5
0.52	6784.2	6852.32	6889	6889	6847.08	6758	6794.68	6889
0.54	6904.2	6924.72	6927	6927	6921.68	6889	6891.28	6927
0.56	6935.4	6953.16	6941	6941	6944.04	6941	7004.84	6941
0.58	7001.8	7038.28	7017	7017	7029.32	7017	7051.72	7017
0.6	7073	7081.4	7073	7080	7078.6	7073	7078.6	7087
0.62	7101.2	7145.22	7158	7158	7128.18	7087	7099.78	7158
0.64	7161.6	7167.28	7167	7167	7164.84	7158	7173.72	7167
0.66	7171.2	7230.16	7174	7174	7173.58	7174	7333.84	7174
0.68	7346.8	7406.32	7390	7390	7394.08	7390	7407.68	7390
0.7	7424	7478.6	7424	7463	7447.4	7424	7447.4	7502
0.72	7532.4	7641.84	7654	7654	7574.96	7502	7514.16	7654
0.74	7672.8	7704.78	7701	7701	7685.02	7654	7724.22	7701
0.76	7717.2	7745.28	7728	7728	7723.68	7728	7758.72	7728
0.78	7766.4	7777.16	7776	7776	7776.04	7776	7776.84	7778
0.8	7778	7816.4	7778	7802	7787.6	7778	7787.6	7826
0.82	7843.6	7917.22	7914	7914	7859.44	7826	8071.78	7914
0.84	7978.4	8082.2	8075	8075	8004.16	7914	8097.8	8075
0.86	8093	8113.74	8105	8105	8097.2	8105	8115.26	8105
0.88	8120.2	8172.28	8124	8124	8122.48	8124	8146.72	8195
0.9	8195	8489.3	8195	8358.5	8227.7	8195	8227.7	8522
0.92	8532.4	8574.24	8574	8574	8536.56	8522	8575.76	8574
0.94	8574.8	8617.82	8576	8576	8574.92	8574	8657.18	8576
0.96	8649.8	8887.16	8699	8699	8654.72	8699	8846.84	9035
0.98	8967.8	9139.52	9035	9035	8974.52	9035	9064.48	9169

Figure 1

PNG link

Postscript link

PDF link

Parameters (Session):

par1 = grey ; par2 = grey ; par3 = TRUE ; par4 = bouwvergunningen ; par5 = werkelijk begonnen woningen ;

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')

Free Statistics

Description of Statistical Computation

Tree of Dependent Computations

Dataset

Tables (Output of Computation)

Figures (Output of Computation)

Input Parameters & R Code