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Author

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R Software Module

rwasp_percentiles.wasp

Title produced by software

Percentiles

Date of computation

Thu, 22 Dec 2011 15:18:50 -0500

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Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2011/Dec/22/t1324585162vul3nfs11twzspx.htm/, Retrieved Fri, 03 May 2024 07:47:17 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=159943, Retrieved Fri, 03 May 2024 07:47:17 +0000

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IsPrivate?

No (this computation is public)

User-defined keywords

Goudkoers

Estimated Impact

118

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

-     [Histogram] [Bad example of Hi...] [2010-09-25 09:28:23] [b98453cac15ba1066b407e146608df68]
- R P   [Histogram] [Workshop 1: Task 3] [2011-10-04 18:01:03] [f722e8e78b9e5c5ebaa2263f273aa636]
-         [Histogram] [Paper: Histogram] [2011-12-21 11:23:29] [f722e8e78b9e5c5ebaa2263f273aa636]
- RMPD      [Univariate Data Series] [Paper: Run Sequen...] [2011-12-21 23:42:11] [f722e8e78b9e5c5ebaa2263f273aa636]
- R           [Univariate Data Series] [Paper: Run Sequen...] [2011-12-21 23:57:05] [f722e8e78b9e5c5ebaa2263f273aa636]
- RMP           [Percentiles] [Paper: Q-Q plot] [2011-12-22 20:16:49] [f722e8e78b9e5c5ebaa2263f273aa636]
- R  D              [Percentiles] [Paper: Q-Q plot] [2011-12-22 20:18:50] [3e64eea457df40fcb7af8f28e1ee6256] [Current]
-   PD                [Percentiles] [Paper: Q-Q plot G...] [2011-12-23 09:01:45] [f722e8e78b9e5c5ebaa2263f273aa636] 

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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	3 seconds
R Server	'AstonUniversity' @ aston.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 & 3 seconds \tabularnewline
R Server & 'AstonUniversity' @ aston.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=159943&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]3 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'AstonUniversity' @ aston.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=159943&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=159943&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	3 seconds
R Server	'AstonUniversity' @ aston.wessa.net

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)
0.01	14390	14390.5	14400	14400	14400	14400	14359.5	14400
0.02	14500	14500	14500	14500	14500	14500	14500	14500
0.03	14600	14600	14600	14600	14600	14600	14600	14600
0.04	14650	14650	14650	14650	14658	14650	14650	14650
0.05	14800	14800	14800	14800	14800	14800	14800	14800
0.06	14900	14900	14900	14900	14937	14900	14900	14900
0.07	14950	14950	14950	14950	14950	14950	14950	14950
0.08	15050	15050	15050	15050	15050	15050	15050	15050
0.09	15150	15150	15150	15150	15150	15150	15150	15150
0.1	15200	15200	15200	15200	15200	15200	15200	15200
0.11	15300	15300	15300	15300	15300	15300	15300	15300
0.12	15400	15400	15400	15400	15400	15400	15400	15400
0.13	15450	15450	15450	15450	15450	15450	15450	15450
0.14	15455	15458.5	15475	15475	15476.5	15450	15466.5	15450
0.15	15500	15500	15500	15500	15500	15500	15500	15500
0.16	15550	15550	15550	15550	15550	15550	15550	15550
0.17	15550	15550	15550	15550	15550	15550	15550	15550
0.18	15600	15600	15600	15600	15600	15600	15600	15600
0.19	15650	15650	15650	15650	15650	15650	15650	15650
0.2	15650	15650	15650	15650	15650	15650	15650	15650
0.21	15700	15700	15700	15700	15700	15700	15700	15700
0.22	15730	15741	15750	15750	15750	15750	15709	15750
0.23	15785	15790.75	15800	15800	15800	15775	15784.25	15800
0.24	15810	15822	15850	15850	15848	15800	15828	15800
0.25	15850	15850	15850	15850	15850	15850	15850	15850
0.26	15920	15926.5	15925	15925	15938.5	15925	15948.5	15925
0.27	16000	16000	16000	16000	16000	16000	16000	16000
0.28	16050	16050	16050	16050	16050	16050	16050	16050
0.29	16150	16150	16150	16150	16150	16150	16150	16150
0.3	16200	16200	16200	16200	16200	16200	16200	16200
0.31	16270	16275	16275	16275	16275	16275	16275	16275
0.32	16350	16350	16350	16350	16350	16350	16350	16350
0.33	16570	16586.5	16600	16600	16600	16550	16563.5	16600
0.34	16710	16727	16750	16750	16743	16700	16723	16750
0.35	17000	17000	17000	17000	17000	17000	17000	17000
0.36	17150	17158	17150	17150	17172	17150	17192	17150
0.37	17315	17324.25	17325	17325	17330.75	17325	17300.75	17325
0.38	17450	17450	17450	17450	17451	17450	17450	17450
0.39	17610	17629.5	17650	17650	17640.5	17600	17620.5	17650
0.4	17800	17800	17800	17800	17800	17800	17800	17800
0.41	17870	17880.25	17875	17875	17884.75	17875	17894.75	17875
0.42	18050	18050	18050	18050	18050	18050	18050	18050
0.43	18135	18145.75	18150	18150	18149.25	18125	18129.25	18150
0.44	18200	18200	18200	18200	18200	18200	18200	18200
0.45	18300	18300	18300	18300	18300	18300	18300	18300
0.46	18450	18450	18450	18450	18450	18450	18450	18450
0.47	18600	18600	18600	18600	18600	18600	18600	18600
0.48	18670	18694	18700	18700	18696	18650	18656	18700
0.49	18763	18770.35	18775	18775	18770.65	18760	18764.65	18775
0.5	18900	18900	18900	18900	18900	18900	18900	18900
0.51	19050	19057.75	19050	19050	19057.25	19050	19067.25	19050
0.52	19150	19153	19150	19150	19152	19150	19172	19150
0.53	19300	19300	19300	19300	19300	19300	19300	19300
0.54	19360	19387	19400	19400	19383	19350	19363	19400
0.55	19450	19477.5	19450	19475	19472.5	19450	19472.5	19500
0.56	19750	19759	19750	19750	19756	19750	19766	19750
0.57	19900	19900	19900	19900	19900	19900	19900	19900
0.58	20060	20074.5	20075	20075	20070.5	20050	20050.5	20075
0.59	20250	20250	20250	20250	20250	20250	20250	20250
0.6	20375	20390	20375	20387.5	20385	20375	20385	20400
0.61	20850	20850	20850	20850	20850	20850	20850	20850
0.62	21065	21075	21075	21075	21074.5	21075	21075	21075
0.63	21150	21150	21150	21150	21150	21150	21150	21150
0.64	21250	21250	21250	21250	21250	21250	21250	21250
0.65	21325	21341.25	21325	21337.5	21333.75	21325	21333.75	21350
0.66	21400	21411.5	21400	21400	21403.5	21400	21413.5	21400
0.67	21500	21513.5	21500	21500	21500	21500	21536.5	21500
0.68	21650	21652	21650	21650	21650	21650	21673	21650
0.69	21760	21794.5	21800	21800	21775.5	21750	21755.5	21800
0.7	21900	21900	21900	21900	21900	21900	21900	21900
0.71	21950	21950	21950	21950	21950	21950	21950	21950
0.72	22100	22100	22100	22100	22100	22100	22100	22100
0.73	22350	22350	22350	22350	22350	22350	22350	22350
0.74	22550	22550	22550	22550	22550	22550	22550	22550
0.75	22800	22818.75	22800	22812.5	22806.25	22800	22806.25	22825
0.76	23395	23400	23400	23400	23400	23400	23400	23400
0.77	24090	24168.5	24150	24150	24124.5	24150	24181.5	24150
0.78	24420	24450	24450	24450	24431	24400	24450	24450
0.79	24655	24674.75	24675	24675	24660.25	24650	24650.25	24675
0.8	24800	24800	24800	24800	24800	24800	24800	24800
0.81	24975	24990.25	24975	24975	24975	24975	24984.75	25000
0.82	25390	25400	25400	25400	25394.5	25400	25400	25400
0.83	25900	25917.25	25900	25900	25900	25900	25957.75	25900
0.84	26155	26176	26175	26175	26159	26150	26199	26175
0.85	26425	26467.5	26425	26450	26432.5	26425	26432.5	26475
0.86	27150	27150	27150	27150	27150	27150	27150	27150
0.87	28500	28511.75	28500	28500	28500	28500	28513.25	28500
0.88	29200	29371	29350	29350	29230	29100	29404	29350
0.89	30125	30129.5	30125	30125	30125	30125	30170.5	30125
0.9	30550	30550	30550	30550	30550	30550	30550	30550
0.91	30725	30742.75	30725	30725	30725	30725	30732.25	30750
0.92	30890	30900	30900	30900	30892	30900	30900	30900
0.93	31000	31008.25	31000	31000	31000	31000	31016.75	31000
0.94	31150	31153.5	31150	31150	31150	31150	31171.5	31150
0.95	31500	31523.75	31500	31512.5	31501.25	31500	31501.25	31525
0.96	31840	31945	31850	31850	31842	31850	31880	31975
0.97	32175	32217.75	32175	32175	32175	32175	32207.25	32250
0.98	32745	32794	32775	32775	32746	32725	32806	32775
0.99	33530	33550	33550	33550	33530.25	33525	33550	33550

\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 & 14390 & 14390.5 & 14400 & 14400 & 14400 & 14400 & 14359.5 & 14400 \tabularnewline
0.02 & 14500 & 14500 & 14500 & 14500 & 14500 & 14500 & 14500 & 14500 \tabularnewline
0.03 & 14600 & 14600 & 14600 & 14600 & 14600 & 14600 & 14600 & 14600 \tabularnewline
0.04 & 14650 & 14650 & 14650 & 14650 & 14658 & 14650 & 14650 & 14650 \tabularnewline
0.05 & 14800 & 14800 & 14800 & 14800 & 14800 & 14800 & 14800 & 14800 \tabularnewline
0.06 & 14900 & 14900 & 14900 & 14900 & 14937 & 14900 & 14900 & 14900 \tabularnewline
0.07 & 14950 & 14950 & 14950 & 14950 & 14950 & 14950 & 14950 & 14950 \tabularnewline
0.08 & 15050 & 15050 & 15050 & 15050 & 15050 & 15050 & 15050 & 15050 \tabularnewline
0.09 & 15150 & 15150 & 15150 & 15150 & 15150 & 15150 & 15150 & 15150 \tabularnewline
0.1 & 15200 & 15200 & 15200 & 15200 & 15200 & 15200 & 15200 & 15200 \tabularnewline
0.11 & 15300 & 15300 & 15300 & 15300 & 15300 & 15300 & 15300 & 15300 \tabularnewline
0.12 & 15400 & 15400 & 15400 & 15400 & 15400 & 15400 & 15400 & 15400 \tabularnewline
0.13 & 15450 & 15450 & 15450 & 15450 & 15450 & 15450 & 15450 & 15450 \tabularnewline
0.14 & 15455 & 15458.5 & 15475 & 15475 & 15476.5 & 15450 & 15466.5 & 15450 \tabularnewline
0.15 & 15500 & 15500 & 15500 & 15500 & 15500 & 15500 & 15500 & 15500 \tabularnewline
0.16 & 15550 & 15550 & 15550 & 15550 & 15550 & 15550 & 15550 & 15550 \tabularnewline
0.17 & 15550 & 15550 & 15550 & 15550 & 15550 & 15550 & 15550 & 15550 \tabularnewline
0.18 & 15600 & 15600 & 15600 & 15600 & 15600 & 15600 & 15600 & 15600 \tabularnewline
0.19 & 15650 & 15650 & 15650 & 15650 & 15650 & 15650 & 15650 & 15650 \tabularnewline
0.2 & 15650 & 15650 & 15650 & 15650 & 15650 & 15650 & 15650 & 15650 \tabularnewline
0.21 & 15700 & 15700 & 15700 & 15700 & 15700 & 15700 & 15700 & 15700 \tabularnewline
0.22 & 15730 & 15741 & 15750 & 15750 & 15750 & 15750 & 15709 & 15750 \tabularnewline
0.23 & 15785 & 15790.75 & 15800 & 15800 & 15800 & 15775 & 15784.25 & 15800 \tabularnewline
0.24 & 15810 & 15822 & 15850 & 15850 & 15848 & 15800 & 15828 & 15800 \tabularnewline
0.25 & 15850 & 15850 & 15850 & 15850 & 15850 & 15850 & 15850 & 15850 \tabularnewline
0.26 & 15920 & 15926.5 & 15925 & 15925 & 15938.5 & 15925 & 15948.5 & 15925 \tabularnewline
0.27 & 16000 & 16000 & 16000 & 16000 & 16000 & 16000 & 16000 & 16000 \tabularnewline
0.28 & 16050 & 16050 & 16050 & 16050 & 16050 & 16050 & 16050 & 16050 \tabularnewline
0.29 & 16150 & 16150 & 16150 & 16150 & 16150 & 16150 & 16150 & 16150 \tabularnewline
0.3 & 16200 & 16200 & 16200 & 16200 & 16200 & 16200 & 16200 & 16200 \tabularnewline
0.31 & 16270 & 16275 & 16275 & 16275 & 16275 & 16275 & 16275 & 16275 \tabularnewline
0.32 & 16350 & 16350 & 16350 & 16350 & 16350 & 16350 & 16350 & 16350 \tabularnewline
0.33 & 16570 & 16586.5 & 16600 & 16600 & 16600 & 16550 & 16563.5 & 16600 \tabularnewline
0.34 & 16710 & 16727 & 16750 & 16750 & 16743 & 16700 & 16723 & 16750 \tabularnewline
0.35 & 17000 & 17000 & 17000 & 17000 & 17000 & 17000 & 17000 & 17000 \tabularnewline
0.36 & 17150 & 17158 & 17150 & 17150 & 17172 & 17150 & 17192 & 17150 \tabularnewline
0.37 & 17315 & 17324.25 & 17325 & 17325 & 17330.75 & 17325 & 17300.75 & 17325 \tabularnewline
0.38 & 17450 & 17450 & 17450 & 17450 & 17451 & 17450 & 17450 & 17450 \tabularnewline
0.39 & 17610 & 17629.5 & 17650 & 17650 & 17640.5 & 17600 & 17620.5 & 17650 \tabularnewline
0.4 & 17800 & 17800 & 17800 & 17800 & 17800 & 17800 & 17800 & 17800 \tabularnewline
0.41 & 17870 & 17880.25 & 17875 & 17875 & 17884.75 & 17875 & 17894.75 & 17875 \tabularnewline
0.42 & 18050 & 18050 & 18050 & 18050 & 18050 & 18050 & 18050 & 18050 \tabularnewline
0.43 & 18135 & 18145.75 & 18150 & 18150 & 18149.25 & 18125 & 18129.25 & 18150 \tabularnewline
0.44 & 18200 & 18200 & 18200 & 18200 & 18200 & 18200 & 18200 & 18200 \tabularnewline
0.45 & 18300 & 18300 & 18300 & 18300 & 18300 & 18300 & 18300 & 18300 \tabularnewline
0.46 & 18450 & 18450 & 18450 & 18450 & 18450 & 18450 & 18450 & 18450 \tabularnewline
0.47 & 18600 & 18600 & 18600 & 18600 & 18600 & 18600 & 18600 & 18600 \tabularnewline
0.48 & 18670 & 18694 & 18700 & 18700 & 18696 & 18650 & 18656 & 18700 \tabularnewline
0.49 & 18763 & 18770.35 & 18775 & 18775 & 18770.65 & 18760 & 18764.65 & 18775 \tabularnewline
0.5 & 18900 & 18900 & 18900 & 18900 & 18900 & 18900 & 18900 & 18900 \tabularnewline
0.51 & 19050 & 19057.75 & 19050 & 19050 & 19057.25 & 19050 & 19067.25 & 19050 \tabularnewline
0.52 & 19150 & 19153 & 19150 & 19150 & 19152 & 19150 & 19172 & 19150 \tabularnewline
0.53 & 19300 & 19300 & 19300 & 19300 & 19300 & 19300 & 19300 & 19300 \tabularnewline
0.54 & 19360 & 19387 & 19400 & 19400 & 19383 & 19350 & 19363 & 19400 \tabularnewline
0.55 & 19450 & 19477.5 & 19450 & 19475 & 19472.5 & 19450 & 19472.5 & 19500 \tabularnewline
0.56 & 19750 & 19759 & 19750 & 19750 & 19756 & 19750 & 19766 & 19750 \tabularnewline
0.57 & 19900 & 19900 & 19900 & 19900 & 19900 & 19900 & 19900 & 19900 \tabularnewline
0.58 & 20060 & 20074.5 & 20075 & 20075 & 20070.5 & 20050 & 20050.5 & 20075 \tabularnewline
0.59 & 20250 & 20250 & 20250 & 20250 & 20250 & 20250 & 20250 & 20250 \tabularnewline
0.6 & 20375 & 20390 & 20375 & 20387.5 & 20385 & 20375 & 20385 & 20400 \tabularnewline
0.61 & 20850 & 20850 & 20850 & 20850 & 20850 & 20850 & 20850 & 20850 \tabularnewline
0.62 & 21065 & 21075 & 21075 & 21075 & 21074.5 & 21075 & 21075 & 21075 \tabularnewline
0.63 & 21150 & 21150 & 21150 & 21150 & 21150 & 21150 & 21150 & 21150 \tabularnewline
0.64 & 21250 & 21250 & 21250 & 21250 & 21250 & 21250 & 21250 & 21250 \tabularnewline
0.65 & 21325 & 21341.25 & 21325 & 21337.5 & 21333.75 & 21325 & 21333.75 & 21350 \tabularnewline
0.66 & 21400 & 21411.5 & 21400 & 21400 & 21403.5 & 21400 & 21413.5 & 21400 \tabularnewline
0.67 & 21500 & 21513.5 & 21500 & 21500 & 21500 & 21500 & 21536.5 & 21500 \tabularnewline
0.68 & 21650 & 21652 & 21650 & 21650 & 21650 & 21650 & 21673 & 21650 \tabularnewline
0.69 & 21760 & 21794.5 & 21800 & 21800 & 21775.5 & 21750 & 21755.5 & 21800 \tabularnewline
0.7 & 21900 & 21900 & 21900 & 21900 & 21900 & 21900 & 21900 & 21900 \tabularnewline
0.71 & 21950 & 21950 & 21950 & 21950 & 21950 & 21950 & 21950 & 21950 \tabularnewline
0.72 & 22100 & 22100 & 22100 & 22100 & 22100 & 22100 & 22100 & 22100 \tabularnewline
0.73 & 22350 & 22350 & 22350 & 22350 & 22350 & 22350 & 22350 & 22350 \tabularnewline
0.74 & 22550 & 22550 & 22550 & 22550 & 22550 & 22550 & 22550 & 22550 \tabularnewline
0.75 & 22800 & 22818.75 & 22800 & 22812.5 & 22806.25 & 22800 & 22806.25 & 22825 \tabularnewline
0.76 & 23395 & 23400 & 23400 & 23400 & 23400 & 23400 & 23400 & 23400 \tabularnewline
0.77 & 24090 & 24168.5 & 24150 & 24150 & 24124.5 & 24150 & 24181.5 & 24150 \tabularnewline
0.78 & 24420 & 24450 & 24450 & 24450 & 24431 & 24400 & 24450 & 24450 \tabularnewline
0.79 & 24655 & 24674.75 & 24675 & 24675 & 24660.25 & 24650 & 24650.25 & 24675 \tabularnewline
0.8 & 24800 & 24800 & 24800 & 24800 & 24800 & 24800 & 24800 & 24800 \tabularnewline
0.81 & 24975 & 24990.25 & 24975 & 24975 & 24975 & 24975 & 24984.75 & 25000 \tabularnewline
0.82 & 25390 & 25400 & 25400 & 25400 & 25394.5 & 25400 & 25400 & 25400 \tabularnewline
0.83 & 25900 & 25917.25 & 25900 & 25900 & 25900 & 25900 & 25957.75 & 25900 \tabularnewline
0.84 & 26155 & 26176 & 26175 & 26175 & 26159 & 26150 & 26199 & 26175 \tabularnewline
0.85 & 26425 & 26467.5 & 26425 & 26450 & 26432.5 & 26425 & 26432.5 & 26475 \tabularnewline
0.86 & 27150 & 27150 & 27150 & 27150 & 27150 & 27150 & 27150 & 27150 \tabularnewline
0.87 & 28500 & 28511.75 & 28500 & 28500 & 28500 & 28500 & 28513.25 & 28500 \tabularnewline
0.88 & 29200 & 29371 & 29350 & 29350 & 29230 & 29100 & 29404 & 29350 \tabularnewline
0.89 & 30125 & 30129.5 & 30125 & 30125 & 30125 & 30125 & 30170.5 & 30125 \tabularnewline
0.9 & 30550 & 30550 & 30550 & 30550 & 30550 & 30550 & 30550 & 30550 \tabularnewline
0.91 & 30725 & 30742.75 & 30725 & 30725 & 30725 & 30725 & 30732.25 & 30750 \tabularnewline
0.92 & 30890 & 30900 & 30900 & 30900 & 30892 & 30900 & 30900 & 30900 \tabularnewline
0.93 & 31000 & 31008.25 & 31000 & 31000 & 31000 & 31000 & 31016.75 & 31000 \tabularnewline
0.94 & 31150 & 31153.5 & 31150 & 31150 & 31150 & 31150 & 31171.5 & 31150 \tabularnewline
0.95 & 31500 & 31523.75 & 31500 & 31512.5 & 31501.25 & 31500 & 31501.25 & 31525 \tabularnewline
0.96 & 31840 & 31945 & 31850 & 31850 & 31842 & 31850 & 31880 & 31975 \tabularnewline
0.97 & 32175 & 32217.75 & 32175 & 32175 & 32175 & 32175 & 32207.25 & 32250 \tabularnewline
0.98 & 32745 & 32794 & 32775 & 32775 & 32746 & 32725 & 32806 & 32775 \tabularnewline
0.99 & 33530 & 33550 & 33550 & 33550 & 33530.25 & 33525 & 33550 & 33550 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=159943&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]14390[/C][C]14390.5[/C][C]14400[/C][C]14400[/C][C]14400[/C][C]14400[/C][C]14359.5[/C][C]14400[/C][/ROW]
[ROW][C]0.02[/C][C]14500[/C][C]14500[/C][C]14500[/C][C]14500[/C][C]14500[/C][C]14500[/C][C]14500[/C][C]14500[/C][/ROW]
[ROW][C]0.03[/C][C]14600[/C][C]14600[/C][C]14600[/C][C]14600[/C][C]14600[/C][C]14600[/C][C]14600[/C][C]14600[/C][/ROW]
[ROW][C]0.04[/C][C]14650[/C][C]14650[/C][C]14650[/C][C]14650[/C][C]14658[/C][C]14650[/C][C]14650[/C][C]14650[/C][/ROW]
[ROW][C]0.05[/C][C]14800[/C][C]14800[/C][C]14800[/C][C]14800[/C][C]14800[/C][C]14800[/C][C]14800[/C][C]14800[/C][/ROW]
[ROW][C]0.06[/C][C]14900[/C][C]14900[/C][C]14900[/C][C]14900[/C][C]14937[/C][C]14900[/C][C]14900[/C][C]14900[/C][/ROW]
[ROW][C]0.07[/C][C]14950[/C][C]14950[/C][C]14950[/C][C]14950[/C][C]14950[/C][C]14950[/C][C]14950[/C][C]14950[/C][/ROW]
[ROW][C]0.08[/C][C]15050[/C][C]15050[/C][C]15050[/C][C]15050[/C][C]15050[/C][C]15050[/C][C]15050[/C][C]15050[/C][/ROW]
[ROW][C]0.09[/C][C]15150[/C][C]15150[/C][C]15150[/C][C]15150[/C][C]15150[/C][C]15150[/C][C]15150[/C][C]15150[/C][/ROW]
[ROW][C]0.1[/C][C]15200[/C][C]15200[/C][C]15200[/C][C]15200[/C][C]15200[/C][C]15200[/C][C]15200[/C][C]15200[/C][/ROW]
[ROW][C]0.11[/C][C]15300[/C][C]15300[/C][C]15300[/C][C]15300[/C][C]15300[/C][C]15300[/C][C]15300[/C][C]15300[/C][/ROW]
[ROW][C]0.12[/C][C]15400[/C][C]15400[/C][C]15400[/C][C]15400[/C][C]15400[/C][C]15400[/C][C]15400[/C][C]15400[/C][/ROW]
[ROW][C]0.13[/C][C]15450[/C][C]15450[/C][C]15450[/C][C]15450[/C][C]15450[/C][C]15450[/C][C]15450[/C][C]15450[/C][/ROW]
[ROW][C]0.14[/C][C]15455[/C][C]15458.5[/C][C]15475[/C][C]15475[/C][C]15476.5[/C][C]15450[/C][C]15466.5[/C][C]15450[/C][/ROW]
[ROW][C]0.15[/C][C]15500[/C][C]15500[/C][C]15500[/C][C]15500[/C][C]15500[/C][C]15500[/C][C]15500[/C][C]15500[/C][/ROW]
[ROW][C]0.16[/C][C]15550[/C][C]15550[/C][C]15550[/C][C]15550[/C][C]15550[/C][C]15550[/C][C]15550[/C][C]15550[/C][/ROW]
[ROW][C]0.17[/C][C]15550[/C][C]15550[/C][C]15550[/C][C]15550[/C][C]15550[/C][C]15550[/C][C]15550[/C][C]15550[/C][/ROW]
[ROW][C]0.18[/C][C]15600[/C][C]15600[/C][C]15600[/C][C]15600[/C][C]15600[/C][C]15600[/C][C]15600[/C][C]15600[/C][/ROW]
[ROW][C]0.19[/C][C]15650[/C][C]15650[/C][C]15650[/C][C]15650[/C][C]15650[/C][C]15650[/C][C]15650[/C][C]15650[/C][/ROW]
[ROW][C]0.2[/C][C]15650[/C][C]15650[/C][C]15650[/C][C]15650[/C][C]15650[/C][C]15650[/C][C]15650[/C][C]15650[/C][/ROW]
[ROW][C]0.21[/C][C]15700[/C][C]15700[/C][C]15700[/C][C]15700[/C][C]15700[/C][C]15700[/C][C]15700[/C][C]15700[/C][/ROW]
[ROW][C]0.22[/C][C]15730[/C][C]15741[/C][C]15750[/C][C]15750[/C][C]15750[/C][C]15750[/C][C]15709[/C][C]15750[/C][/ROW]
[ROW][C]0.23[/C][C]15785[/C][C]15790.75[/C][C]15800[/C][C]15800[/C][C]15800[/C][C]15775[/C][C]15784.25[/C][C]15800[/C][/ROW]
[ROW][C]0.24[/C][C]15810[/C][C]15822[/C][C]15850[/C][C]15850[/C][C]15848[/C][C]15800[/C][C]15828[/C][C]15800[/C][/ROW]
[ROW][C]0.25[/C][C]15850[/C][C]15850[/C][C]15850[/C][C]15850[/C][C]15850[/C][C]15850[/C][C]15850[/C][C]15850[/C][/ROW]
[ROW][C]0.26[/C][C]15920[/C][C]15926.5[/C][C]15925[/C][C]15925[/C][C]15938.5[/C][C]15925[/C][C]15948.5[/C][C]15925[/C][/ROW]
[ROW][C]0.27[/C][C]16000[/C][C]16000[/C][C]16000[/C][C]16000[/C][C]16000[/C][C]16000[/C][C]16000[/C][C]16000[/C][/ROW]
[ROW][C]0.28[/C][C]16050[/C][C]16050[/C][C]16050[/C][C]16050[/C][C]16050[/C][C]16050[/C][C]16050[/C][C]16050[/C][/ROW]
[ROW][C]0.29[/C][C]16150[/C][C]16150[/C][C]16150[/C][C]16150[/C][C]16150[/C][C]16150[/C][C]16150[/C][C]16150[/C][/ROW]
[ROW][C]0.3[/C][C]16200[/C][C]16200[/C][C]16200[/C][C]16200[/C][C]16200[/C][C]16200[/C][C]16200[/C][C]16200[/C][/ROW]
[ROW][C]0.31[/C][C]16270[/C][C]16275[/C][C]16275[/C][C]16275[/C][C]16275[/C][C]16275[/C][C]16275[/C][C]16275[/C][/ROW]
[ROW][C]0.32[/C][C]16350[/C][C]16350[/C][C]16350[/C][C]16350[/C][C]16350[/C][C]16350[/C][C]16350[/C][C]16350[/C][/ROW]
[ROW][C]0.33[/C][C]16570[/C][C]16586.5[/C][C]16600[/C][C]16600[/C][C]16600[/C][C]16550[/C][C]16563.5[/C][C]16600[/C][/ROW]
[ROW][C]0.34[/C][C]16710[/C][C]16727[/C][C]16750[/C][C]16750[/C][C]16743[/C][C]16700[/C][C]16723[/C][C]16750[/C][/ROW]
[ROW][C]0.35[/C][C]17000[/C][C]17000[/C][C]17000[/C][C]17000[/C][C]17000[/C][C]17000[/C][C]17000[/C][C]17000[/C][/ROW]
[ROW][C]0.36[/C][C]17150[/C][C]17158[/C][C]17150[/C][C]17150[/C][C]17172[/C][C]17150[/C][C]17192[/C][C]17150[/C][/ROW]
[ROW][C]0.37[/C][C]17315[/C][C]17324.25[/C][C]17325[/C][C]17325[/C][C]17330.75[/C][C]17325[/C][C]17300.75[/C][C]17325[/C][/ROW]
[ROW][C]0.38[/C][C]17450[/C][C]17450[/C][C]17450[/C][C]17450[/C][C]17451[/C][C]17450[/C][C]17450[/C][C]17450[/C][/ROW]
[ROW][C]0.39[/C][C]17610[/C][C]17629.5[/C][C]17650[/C][C]17650[/C][C]17640.5[/C][C]17600[/C][C]17620.5[/C][C]17650[/C][/ROW]
[ROW][C]0.4[/C][C]17800[/C][C]17800[/C][C]17800[/C][C]17800[/C][C]17800[/C][C]17800[/C][C]17800[/C][C]17800[/C][/ROW]
[ROW][C]0.41[/C][C]17870[/C][C]17880.25[/C][C]17875[/C][C]17875[/C][C]17884.75[/C][C]17875[/C][C]17894.75[/C][C]17875[/C][/ROW]
[ROW][C]0.42[/C][C]18050[/C][C]18050[/C][C]18050[/C][C]18050[/C][C]18050[/C][C]18050[/C][C]18050[/C][C]18050[/C][/ROW]
[ROW][C]0.43[/C][C]18135[/C][C]18145.75[/C][C]18150[/C][C]18150[/C][C]18149.25[/C][C]18125[/C][C]18129.25[/C][C]18150[/C][/ROW]
[ROW][C]0.44[/C][C]18200[/C][C]18200[/C][C]18200[/C][C]18200[/C][C]18200[/C][C]18200[/C][C]18200[/C][C]18200[/C][/ROW]
[ROW][C]0.45[/C][C]18300[/C][C]18300[/C][C]18300[/C][C]18300[/C][C]18300[/C][C]18300[/C][C]18300[/C][C]18300[/C][/ROW]
[ROW][C]0.46[/C][C]18450[/C][C]18450[/C][C]18450[/C][C]18450[/C][C]18450[/C][C]18450[/C][C]18450[/C][C]18450[/C][/ROW]
[ROW][C]0.47[/C][C]18600[/C][C]18600[/C][C]18600[/C][C]18600[/C][C]18600[/C][C]18600[/C][C]18600[/C][C]18600[/C][/ROW]
[ROW][C]0.48[/C][C]18670[/C][C]18694[/C][C]18700[/C][C]18700[/C][C]18696[/C][C]18650[/C][C]18656[/C][C]18700[/C][/ROW]
[ROW][C]0.49[/C][C]18763[/C][C]18770.35[/C][C]18775[/C][C]18775[/C][C]18770.65[/C][C]18760[/C][C]18764.65[/C][C]18775[/C][/ROW]
[ROW][C]0.5[/C][C]18900[/C][C]18900[/C][C]18900[/C][C]18900[/C][C]18900[/C][C]18900[/C][C]18900[/C][C]18900[/C][/ROW]
[ROW][C]0.51[/C][C]19050[/C][C]19057.75[/C][C]19050[/C][C]19050[/C][C]19057.25[/C][C]19050[/C][C]19067.25[/C][C]19050[/C][/ROW]
[ROW][C]0.52[/C][C]19150[/C][C]19153[/C][C]19150[/C][C]19150[/C][C]19152[/C][C]19150[/C][C]19172[/C][C]19150[/C][/ROW]
[ROW][C]0.53[/C][C]19300[/C][C]19300[/C][C]19300[/C][C]19300[/C][C]19300[/C][C]19300[/C][C]19300[/C][C]19300[/C][/ROW]
[ROW][C]0.54[/C][C]19360[/C][C]19387[/C][C]19400[/C][C]19400[/C][C]19383[/C][C]19350[/C][C]19363[/C][C]19400[/C][/ROW]
[ROW][C]0.55[/C][C]19450[/C][C]19477.5[/C][C]19450[/C][C]19475[/C][C]19472.5[/C][C]19450[/C][C]19472.5[/C][C]19500[/C][/ROW]
[ROW][C]0.56[/C][C]19750[/C][C]19759[/C][C]19750[/C][C]19750[/C][C]19756[/C][C]19750[/C][C]19766[/C][C]19750[/C][/ROW]
[ROW][C]0.57[/C][C]19900[/C][C]19900[/C][C]19900[/C][C]19900[/C][C]19900[/C][C]19900[/C][C]19900[/C][C]19900[/C][/ROW]
[ROW][C]0.58[/C][C]20060[/C][C]20074.5[/C][C]20075[/C][C]20075[/C][C]20070.5[/C][C]20050[/C][C]20050.5[/C][C]20075[/C][/ROW]
[ROW][C]0.59[/C][C]20250[/C][C]20250[/C][C]20250[/C][C]20250[/C][C]20250[/C][C]20250[/C][C]20250[/C][C]20250[/C][/ROW]
[ROW][C]0.6[/C][C]20375[/C][C]20390[/C][C]20375[/C][C]20387.5[/C][C]20385[/C][C]20375[/C][C]20385[/C][C]20400[/C][/ROW]
[ROW][C]0.61[/C][C]20850[/C][C]20850[/C][C]20850[/C][C]20850[/C][C]20850[/C][C]20850[/C][C]20850[/C][C]20850[/C][/ROW]
[ROW][C]0.62[/C][C]21065[/C][C]21075[/C][C]21075[/C][C]21075[/C][C]21074.5[/C][C]21075[/C][C]21075[/C][C]21075[/C][/ROW]
[ROW][C]0.63[/C][C]21150[/C][C]21150[/C][C]21150[/C][C]21150[/C][C]21150[/C][C]21150[/C][C]21150[/C][C]21150[/C][/ROW]
[ROW][C]0.64[/C][C]21250[/C][C]21250[/C][C]21250[/C][C]21250[/C][C]21250[/C][C]21250[/C][C]21250[/C][C]21250[/C][/ROW]
[ROW][C]0.65[/C][C]21325[/C][C]21341.25[/C][C]21325[/C][C]21337.5[/C][C]21333.75[/C][C]21325[/C][C]21333.75[/C][C]21350[/C][/ROW]
[ROW][C]0.66[/C][C]21400[/C][C]21411.5[/C][C]21400[/C][C]21400[/C][C]21403.5[/C][C]21400[/C][C]21413.5[/C][C]21400[/C][/ROW]
[ROW][C]0.67[/C][C]21500[/C][C]21513.5[/C][C]21500[/C][C]21500[/C][C]21500[/C][C]21500[/C][C]21536.5[/C][C]21500[/C][/ROW]
[ROW][C]0.68[/C][C]21650[/C][C]21652[/C][C]21650[/C][C]21650[/C][C]21650[/C][C]21650[/C][C]21673[/C][C]21650[/C][/ROW]
[ROW][C]0.69[/C][C]21760[/C][C]21794.5[/C][C]21800[/C][C]21800[/C][C]21775.5[/C][C]21750[/C][C]21755.5[/C][C]21800[/C][/ROW]
[ROW][C]0.7[/C][C]21900[/C][C]21900[/C][C]21900[/C][C]21900[/C][C]21900[/C][C]21900[/C][C]21900[/C][C]21900[/C][/ROW]
[ROW][C]0.71[/C][C]21950[/C][C]21950[/C][C]21950[/C][C]21950[/C][C]21950[/C][C]21950[/C][C]21950[/C][C]21950[/C][/ROW]
[ROW][C]0.72[/C][C]22100[/C][C]22100[/C][C]22100[/C][C]22100[/C][C]22100[/C][C]22100[/C][C]22100[/C][C]22100[/C][/ROW]
[ROW][C]0.73[/C][C]22350[/C][C]22350[/C][C]22350[/C][C]22350[/C][C]22350[/C][C]22350[/C][C]22350[/C][C]22350[/C][/ROW]
[ROW][C]0.74[/C][C]22550[/C][C]22550[/C][C]22550[/C][C]22550[/C][C]22550[/C][C]22550[/C][C]22550[/C][C]22550[/C][/ROW]
[ROW][C]0.75[/C][C]22800[/C][C]22818.75[/C][C]22800[/C][C]22812.5[/C][C]22806.25[/C][C]22800[/C][C]22806.25[/C][C]22825[/C][/ROW]
[ROW][C]0.76[/C][C]23395[/C][C]23400[/C][C]23400[/C][C]23400[/C][C]23400[/C][C]23400[/C][C]23400[/C][C]23400[/C][/ROW]
[ROW][C]0.77[/C][C]24090[/C][C]24168.5[/C][C]24150[/C][C]24150[/C][C]24124.5[/C][C]24150[/C][C]24181.5[/C][C]24150[/C][/ROW]
[ROW][C]0.78[/C][C]24420[/C][C]24450[/C][C]24450[/C][C]24450[/C][C]24431[/C][C]24400[/C][C]24450[/C][C]24450[/C][/ROW]
[ROW][C]0.79[/C][C]24655[/C][C]24674.75[/C][C]24675[/C][C]24675[/C][C]24660.25[/C][C]24650[/C][C]24650.25[/C][C]24675[/C][/ROW]
[ROW][C]0.8[/C][C]24800[/C][C]24800[/C][C]24800[/C][C]24800[/C][C]24800[/C][C]24800[/C][C]24800[/C][C]24800[/C][/ROW]
[ROW][C]0.81[/C][C]24975[/C][C]24990.25[/C][C]24975[/C][C]24975[/C][C]24975[/C][C]24975[/C][C]24984.75[/C][C]25000[/C][/ROW]
[ROW][C]0.82[/C][C]25390[/C][C]25400[/C][C]25400[/C][C]25400[/C][C]25394.5[/C][C]25400[/C][C]25400[/C][C]25400[/C][/ROW]
[ROW][C]0.83[/C][C]25900[/C][C]25917.25[/C][C]25900[/C][C]25900[/C][C]25900[/C][C]25900[/C][C]25957.75[/C][C]25900[/C][/ROW]
[ROW][C]0.84[/C][C]26155[/C][C]26176[/C][C]26175[/C][C]26175[/C][C]26159[/C][C]26150[/C][C]26199[/C][C]26175[/C][/ROW]
[ROW][C]0.85[/C][C]26425[/C][C]26467.5[/C][C]26425[/C][C]26450[/C][C]26432.5[/C][C]26425[/C][C]26432.5[/C][C]26475[/C][/ROW]
[ROW][C]0.86[/C][C]27150[/C][C]27150[/C][C]27150[/C][C]27150[/C][C]27150[/C][C]27150[/C][C]27150[/C][C]27150[/C][/ROW]
[ROW][C]0.87[/C][C]28500[/C][C]28511.75[/C][C]28500[/C][C]28500[/C][C]28500[/C][C]28500[/C][C]28513.25[/C][C]28500[/C][/ROW]
[ROW][C]0.88[/C][C]29200[/C][C]29371[/C][C]29350[/C][C]29350[/C][C]29230[/C][C]29100[/C][C]29404[/C][C]29350[/C][/ROW]
[ROW][C]0.89[/C][C]30125[/C][C]30129.5[/C][C]30125[/C][C]30125[/C][C]30125[/C][C]30125[/C][C]30170.5[/C][C]30125[/C][/ROW]
[ROW][C]0.9[/C][C]30550[/C][C]30550[/C][C]30550[/C][C]30550[/C][C]30550[/C][C]30550[/C][C]30550[/C][C]30550[/C][/ROW]
[ROW][C]0.91[/C][C]30725[/C][C]30742.75[/C][C]30725[/C][C]30725[/C][C]30725[/C][C]30725[/C][C]30732.25[/C][C]30750[/C][/ROW]
[ROW][C]0.92[/C][C]30890[/C][C]30900[/C][C]30900[/C][C]30900[/C][C]30892[/C][C]30900[/C][C]30900[/C][C]30900[/C][/ROW]
[ROW][C]0.93[/C][C]31000[/C][C]31008.25[/C][C]31000[/C][C]31000[/C][C]31000[/C][C]31000[/C][C]31016.75[/C][C]31000[/C][/ROW]
[ROW][C]0.94[/C][C]31150[/C][C]31153.5[/C][C]31150[/C][C]31150[/C][C]31150[/C][C]31150[/C][C]31171.5[/C][C]31150[/C][/ROW]
[ROW][C]0.95[/C][C]31500[/C][C]31523.75[/C][C]31500[/C][C]31512.5[/C][C]31501.25[/C][C]31500[/C][C]31501.25[/C][C]31525[/C][/ROW]
[ROW][C]0.96[/C][C]31840[/C][C]31945[/C][C]31850[/C][C]31850[/C][C]31842[/C][C]31850[/C][C]31880[/C][C]31975[/C][/ROW]
[ROW][C]0.97[/C][C]32175[/C][C]32217.75[/C][C]32175[/C][C]32175[/C][C]32175[/C][C]32175[/C][C]32207.25[/C][C]32250[/C][/ROW]
[ROW][C]0.98[/C][C]32745[/C][C]32794[/C][C]32775[/C][C]32775[/C][C]32746[/C][C]32725[/C][C]32806[/C][C]32775[/C][/ROW]
[ROW][C]0.99[/C][C]33530[/C][C]33550[/C][C]33550[/C][C]33550[/C][C]33530.25[/C][C]33525[/C][C]33550[/C][C]33550[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=159943&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=159943&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)
0.01	14390	14390.5	14400	14400	14400	14400	14359.5	14400
0.02	14500	14500	14500	14500	14500	14500	14500	14500
0.03	14600	14600	14600	14600	14600	14600	14600	14600
0.04	14650	14650	14650	14650	14658	14650	14650	14650
0.05	14800	14800	14800	14800	14800	14800	14800	14800
0.06	14900	14900	14900	14900	14937	14900	14900	14900
0.07	14950	14950	14950	14950	14950	14950	14950	14950
0.08	15050	15050	15050	15050	15050	15050	15050	15050
0.09	15150	15150	15150	15150	15150	15150	15150	15150
0.1	15200	15200	15200	15200	15200	15200	15200	15200
0.11	15300	15300	15300	15300	15300	15300	15300	15300
0.12	15400	15400	15400	15400	15400	15400	15400	15400
0.13	15450	15450	15450	15450	15450	15450	15450	15450
0.14	15455	15458.5	15475	15475	15476.5	15450	15466.5	15450
0.15	15500	15500	15500	15500	15500	15500	15500	15500
0.16	15550	15550	15550	15550	15550	15550	15550	15550
0.17	15550	15550	15550	15550	15550	15550	15550	15550
0.18	15600	15600	15600	15600	15600	15600	15600	15600
0.19	15650	15650	15650	15650	15650	15650	15650	15650
0.2	15650	15650	15650	15650	15650	15650	15650	15650
0.21	15700	15700	15700	15700	15700	15700	15700	15700
0.22	15730	15741	15750	15750	15750	15750	15709	15750
0.23	15785	15790.75	15800	15800	15800	15775	15784.25	15800
0.24	15810	15822	15850	15850	15848	15800	15828	15800
0.25	15850	15850	15850	15850	15850	15850	15850	15850
0.26	15920	15926.5	15925	15925	15938.5	15925	15948.5	15925
0.27	16000	16000	16000	16000	16000	16000	16000	16000
0.28	16050	16050	16050	16050	16050	16050	16050	16050
0.29	16150	16150	16150	16150	16150	16150	16150	16150
0.3	16200	16200	16200	16200	16200	16200	16200	16200
0.31	16270	16275	16275	16275	16275	16275	16275	16275
0.32	16350	16350	16350	16350	16350	16350	16350	16350
0.33	16570	16586.5	16600	16600	16600	16550	16563.5	16600
0.34	16710	16727	16750	16750	16743	16700	16723	16750
0.35	17000	17000	17000	17000	17000	17000	17000	17000
0.36	17150	17158	17150	17150	17172	17150	17192	17150
0.37	17315	17324.25	17325	17325	17330.75	17325	17300.75	17325
0.38	17450	17450	17450	17450	17451	17450	17450	17450
0.39	17610	17629.5	17650	17650	17640.5	17600	17620.5	17650
0.4	17800	17800	17800	17800	17800	17800	17800	17800
0.41	17870	17880.25	17875	17875	17884.75	17875	17894.75	17875
0.42	18050	18050	18050	18050	18050	18050	18050	18050
0.43	18135	18145.75	18150	18150	18149.25	18125	18129.25	18150
0.44	18200	18200	18200	18200	18200	18200	18200	18200
0.45	18300	18300	18300	18300	18300	18300	18300	18300
0.46	18450	18450	18450	18450	18450	18450	18450	18450
0.47	18600	18600	18600	18600	18600	18600	18600	18600
0.48	18670	18694	18700	18700	18696	18650	18656	18700
0.49	18763	18770.35	18775	18775	18770.65	18760	18764.65	18775
0.5	18900	18900	18900	18900	18900	18900	18900	18900
0.51	19050	19057.75	19050	19050	19057.25	19050	19067.25	19050
0.52	19150	19153	19150	19150	19152	19150	19172	19150
0.53	19300	19300	19300	19300	19300	19300	19300	19300
0.54	19360	19387	19400	19400	19383	19350	19363	19400
0.55	19450	19477.5	19450	19475	19472.5	19450	19472.5	19500
0.56	19750	19759	19750	19750	19756	19750	19766	19750
0.57	19900	19900	19900	19900	19900	19900	19900	19900
0.58	20060	20074.5	20075	20075	20070.5	20050	20050.5	20075
0.59	20250	20250	20250	20250	20250	20250	20250	20250
0.6	20375	20390	20375	20387.5	20385	20375	20385	20400
0.61	20850	20850	20850	20850	20850	20850	20850	20850
0.62	21065	21075	21075	21075	21074.5	21075	21075	21075
0.63	21150	21150	21150	21150	21150	21150	21150	21150
0.64	21250	21250	21250	21250	21250	21250	21250	21250
0.65	21325	21341.25	21325	21337.5	21333.75	21325	21333.75	21350
0.66	21400	21411.5	21400	21400	21403.5	21400	21413.5	21400
0.67	21500	21513.5	21500	21500	21500	21500	21536.5	21500
0.68	21650	21652	21650	21650	21650	21650	21673	21650
0.69	21760	21794.5	21800	21800	21775.5	21750	21755.5	21800
0.7	21900	21900	21900	21900	21900	21900	21900	21900
0.71	21950	21950	21950	21950	21950	21950	21950	21950
0.72	22100	22100	22100	22100	22100	22100	22100	22100
0.73	22350	22350	22350	22350	22350	22350	22350	22350
0.74	22550	22550	22550	22550	22550	22550	22550	22550
0.75	22800	22818.75	22800	22812.5	22806.25	22800	22806.25	22825
0.76	23395	23400	23400	23400	23400	23400	23400	23400
0.77	24090	24168.5	24150	24150	24124.5	24150	24181.5	24150
0.78	24420	24450	24450	24450	24431	24400	24450	24450
0.79	24655	24674.75	24675	24675	24660.25	24650	24650.25	24675
0.8	24800	24800	24800	24800	24800	24800	24800	24800
0.81	24975	24990.25	24975	24975	24975	24975	24984.75	25000
0.82	25390	25400	25400	25400	25394.5	25400	25400	25400
0.83	25900	25917.25	25900	25900	25900	25900	25957.75	25900
0.84	26155	26176	26175	26175	26159	26150	26199	26175
0.85	26425	26467.5	26425	26450	26432.5	26425	26432.5	26475
0.86	27150	27150	27150	27150	27150	27150	27150	27150
0.87	28500	28511.75	28500	28500	28500	28500	28513.25	28500
0.88	29200	29371	29350	29350	29230	29100	29404	29350
0.89	30125	30129.5	30125	30125	30125	30125	30170.5	30125
0.9	30550	30550	30550	30550	30550	30550	30550	30550
0.91	30725	30742.75	30725	30725	30725	30725	30732.25	30750
0.92	30890	30900	30900	30900	30892	30900	30900	30900
0.93	31000	31008.25	31000	31000	31000	31000	31016.75	31000
0.94	31150	31153.5	31150	31150	31150	31150	31171.5	31150
0.95	31500	31523.75	31500	31512.5	31501.25	31500	31501.25	31525
0.96	31840	31945	31850	31850	31842	31850	31880	31975
0.97	32175	32217.75	32175	32175	32175	32175	32207.25	32250
0.98	32745	32794	32775	32775	32746	32725	32806	32775
0.99	33530	33550	33550	33550	33530.25	33525	33550	33550

Figure 1

PNG link

Postscript link

PDF link

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')

Free Statistics

Description of Statistical Computation

Tree of Dependent Computations

Dataset

Tables (Output of Computation)

Figures (Output of Computation)

Input Parameters & R Code