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Author's title

Author*Unverified author*
R Software Modulerwasp_histogram.wasp
Title produced by softwareHistogram
Date of computationMon, 22 Feb 2010 09:02:57 -0700
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2010/Feb/22/t12668546363ju3erq2rysj6fl.htm/, Retrieved Sat, 03 Dec 2022 11:49:07 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=73275, Retrieved Sat, 03 Dec 2022 11:49:07 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact145
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Histogram] [Frequentietabel -...] [2010-02-22 15:46:48] [b99a9e8e0bee3918139b00a56dd346b9]
-   P     [Histogram] [] [2010-02-22 16:02:57] [ad58d474f244f5a111ac648c17d02214] [Current]
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Dataseries X:
20
25
15
15
25
25
25
21
30
25
20
40
13
30
25
20
25
20
25
20
20
15
15
12
20
5
20
15
25
22
20
22
25
20
20
35
30
25
20
20
20
25
25
15
20
35
25
25
30
23
10
22
25
25
22
30
20
25
25
22
25
25
25
22
25
12
18
20
20
22
30
25
22
20
50
30
25
20
30
22
25
30
22
25
22
22
25
25
25
20
22
15
20
30
20
25
30
35
22
12
30
15
10
30
9
25
20
20
35
25
35
30
12
25
15
25
25
20
20
6
15
40
20
40
25
25
20
15
15
22
24
22
20
25
25
25
35
40
20
22
22
20
25
25
18
25
20
25
30
20
22
35
22
25
25
25
25
22
23
35
15
25
18
22
25
25
28
30
20
25
25
30
22
30
10
10
25
20
22
25
25
15
22
25
25
28
22
30
25
20
25
25
20
30
20
30
50
19
20
28
20
25
35
25
25
15
16
20
20
25
30
20
25
25
25
20
20
25
25
30
22
20
25
25
18
18
20
25
25
30
25
20
25
20
20
20
22
18
22
20
15
25
25
20
25
15
22
25
25
15
12
25
30
22
15
22
25
12
18
30
25
25
40
24
25
15
25
20
25
25
25
20
30
20
25
30
22
25
25
25
50
19
50
25
35
20
20
20
20
20
25
25
25
20
20
20
20
25
18
25
22
22
30
30
8
20
25
30
50
22
20
10
25
25
25
25
18
25
20
25
30
18
20
25
22
22
20
20
25
20
20
20
20
25
20
10
20
25
30
25
50
30
30
50
15
25
25
22
20
22
30
25
18
22
22
30
40
25
20
10
20
9
15
20
15
20
30
12
15
12
20
15
12
25
20
25
25
25
30
20
25
15
15
22
10
15
10
20
25
20
20
38
20
20
20
40
25
25
30
25
10
20
25
12
15
25
20
22
22
20
25
25
25
15
40
20
20
16
25
15
20
25
20
30
50
20
25
20
30
30
25
25
12
25
25
25
20
20
20
15
20
25
15
25
50
30
20
20
25
12
15
20
20
35
22
15
18
30
22
12
12
20
20
15
25
15
20
20
25
18
30
20
25
25
25
20
20
25
20
22
15
15
22
20
10
25
20
20
15
12
20
5
20
15
15
25
25
25
15
25
22
25
20
18
22
25
35
25
25
25
35
30
22
30
50
15
25
24
20
25
25
25
12
15
22
25
25
25
25
15
20
20
15
35
30
20
22
65
20
25
22
20
25
25
20
25
15
20
12
15
10
25
15
30
35
25
25
25
25
25
40
40
25
25
20
25
25
22
25
30
25
25
30
25
25
30
25
25
20
22
22
20
25
22
25
22
40
25
25
25
22
20
35
20
35
25
22
25
25
25
25
25
40
25
30
25
20
25
25
30
22
22
20
15
15
25
25
20
20
15
25
15
20
22
25
15
15
18
5
15
25
18
40
25
25
20
30
20
25
25
25
22
22
25
25
30
25
25
25
25
20
20
25
25
25
25
20
30
25
22
30
20
20
30
25
25
30
20
25
25
24
25
30
18
15
22
22
25
22
22
25
15
20
22
18
35
20
20
20
25
25
30
15
25
22
26
25
20
25
25
25
22
25
25
20
22
30
15
30
25
20
25
25
35
22
20
25
20
20
18
20
22
25
10
20
25
20
20
30
25
20
15
20
25
10
20
25
22
22
25
25
15
25
20
10
25
16
25
35
25
15
25
25
30
25
10
22
20
25
20
20
25
22
18
30
19
25
20
25
20
25
20
22
12
30
12
22
25
25
25
25
30
30
10
22
22
25
20
22
20
25
20
15
25
20
25
20
30
15
40
25
20
22
22
30
20
40
20
25
20
25
20
50
50
25
25
40
30
22
30
20
25
25
30
25
25
20
18
18
28
25
22
15
40
40
12
12
18
12
25
26
18
25
22
15
25
15
15
15
25
15
12
22
20
20
25
20
12
9
15
12
15
25
20
20
15
15
30
21
25
22
22
50
15
25
15
25
22
18
50
20
50
20
20
30
25
20
22
25
50
40
25
25
25
25
30
40
25
30
20




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135

\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' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=73275&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' @ 72.249.127.135[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=73275&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=73275&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' @ 72.249.127.135







Frequency Table (Histogram)
BinsMidpointAbs. FrequencyRel. FrequencyCumul. Rel. Freq.Density
[5,6[5.530.0033330.0033330.003333
[6,7[6.510.0011110.0044440.001111
[7,8[7.5000.0044440
[8,9[8.510.0011110.0055560.001111
[9,10[9.530.0033330.0088890.003333
[10,11[10.5170.0188890.0277780.018889
[11,12[11.5000.0277780
[12,13[12.5250.0277780.0555560.027778
[13,14[13.510.0011110.0566670.001111
[14,15[14.5000.0566670
[15,16[15.5780.0866670.1433330.086667
[16,17[16.530.0033330.1466670.003333
[17,18[17.5000.1466670
[18,19[18.5250.0277780.1744440.027778
[19,20[19.530.0033330.1777780.003333
[20,21[20.51950.2166670.3944440.216667
[21,22[21.520.0022220.3966670.002222
[22,23[22.5970.1077780.5044440.107778
[23,24[23.520.0022220.5066670.002222
[24,25[24.540.0044440.5111110.004444
[25,26[25.52960.3288890.840.328889
[26,27[26.520.0022220.8422220.002222
[27,28[27.5000.8422220
[28,29[28.540.0044440.8466670.004444
[29,30[29.5000.8466670
[30,31[30.5800.0888890.9355560.088889
[31,32[31.5000.9355560
[32,33[32.5000.9355560
[33,34[33.5000.9355560
[34,35[34.5000.9355560
[35,36[35.5200.0222220.9577780.022222
[36,37[36.5000.9577780
[37,38[37.5000.9577780
[38,39[38.510.0011110.9588890.001111
[39,40[39.5000.9588890
[40,41[40.5200.0222220.9811110.022222
[41,42[41.5000.9811110
[42,43[42.5000.9811110
[43,44[43.5000.9811110
[44,45[44.5000.9811110
[45,46[45.5000.9811110
[46,47[46.5000.9811110
[47,48[47.5000.9811110
[48,49[48.5000.9811110
[49,50[49.5000.9811110
[50,51[50.5160.0177780.9988890.017778
[51,52[51.5000.9988890
[52,53[52.5000.9988890
[53,54[53.5000.9988890
[54,55[54.5000.9988890
[55,56[55.5000.9988890
[56,57[56.5000.9988890
[57,58[57.5000.9988890
[58,59[58.5000.9988890
[59,60[59.5000.9988890
[60,61[60.5000.9988890
[61,62[61.5000.9988890
[62,63[62.5000.9988890
[63,64[63.5000.9988890
[64,65]64.510.00111110.001111

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[5,6[ & 5.5 & 3 & 0.003333 & 0.003333 & 0.003333 \tabularnewline
[6,7[ & 6.5 & 1 & 0.001111 & 0.004444 & 0.001111 \tabularnewline
[7,8[ & 7.5 & 0 & 0 & 0.004444 & 0 \tabularnewline
[8,9[ & 8.5 & 1 & 0.001111 & 0.005556 & 0.001111 \tabularnewline
[9,10[ & 9.5 & 3 & 0.003333 & 0.008889 & 0.003333 \tabularnewline
[10,11[ & 10.5 & 17 & 0.018889 & 0.027778 & 0.018889 \tabularnewline
[11,12[ & 11.5 & 0 & 0 & 0.027778 & 0 \tabularnewline
[12,13[ & 12.5 & 25 & 0.027778 & 0.055556 & 0.027778 \tabularnewline
[13,14[ & 13.5 & 1 & 0.001111 & 0.056667 & 0.001111 \tabularnewline
[14,15[ & 14.5 & 0 & 0 & 0.056667 & 0 \tabularnewline
[15,16[ & 15.5 & 78 & 0.086667 & 0.143333 & 0.086667 \tabularnewline
[16,17[ & 16.5 & 3 & 0.003333 & 0.146667 & 0.003333 \tabularnewline
[17,18[ & 17.5 & 0 & 0 & 0.146667 & 0 \tabularnewline
[18,19[ & 18.5 & 25 & 0.027778 & 0.174444 & 0.027778 \tabularnewline
[19,20[ & 19.5 & 3 & 0.003333 & 0.177778 & 0.003333 \tabularnewline
[20,21[ & 20.5 & 195 & 0.216667 & 0.394444 & 0.216667 \tabularnewline
[21,22[ & 21.5 & 2 & 0.002222 & 0.396667 & 0.002222 \tabularnewline
[22,23[ & 22.5 & 97 & 0.107778 & 0.504444 & 0.107778 \tabularnewline
[23,24[ & 23.5 & 2 & 0.002222 & 0.506667 & 0.002222 \tabularnewline
[24,25[ & 24.5 & 4 & 0.004444 & 0.511111 & 0.004444 \tabularnewline
[25,26[ & 25.5 & 296 & 0.328889 & 0.84 & 0.328889 \tabularnewline
[26,27[ & 26.5 & 2 & 0.002222 & 0.842222 & 0.002222 \tabularnewline
[27,28[ & 27.5 & 0 & 0 & 0.842222 & 0 \tabularnewline
[28,29[ & 28.5 & 4 & 0.004444 & 0.846667 & 0.004444 \tabularnewline
[29,30[ & 29.5 & 0 & 0 & 0.846667 & 0 \tabularnewline
[30,31[ & 30.5 & 80 & 0.088889 & 0.935556 & 0.088889 \tabularnewline
[31,32[ & 31.5 & 0 & 0 & 0.935556 & 0 \tabularnewline
[32,33[ & 32.5 & 0 & 0 & 0.935556 & 0 \tabularnewline
[33,34[ & 33.5 & 0 & 0 & 0.935556 & 0 \tabularnewline
[34,35[ & 34.5 & 0 & 0 & 0.935556 & 0 \tabularnewline
[35,36[ & 35.5 & 20 & 0.022222 & 0.957778 & 0.022222 \tabularnewline
[36,37[ & 36.5 & 0 & 0 & 0.957778 & 0 \tabularnewline
[37,38[ & 37.5 & 0 & 0 & 0.957778 & 0 \tabularnewline
[38,39[ & 38.5 & 1 & 0.001111 & 0.958889 & 0.001111 \tabularnewline
[39,40[ & 39.5 & 0 & 0 & 0.958889 & 0 \tabularnewline
[40,41[ & 40.5 & 20 & 0.022222 & 0.981111 & 0.022222 \tabularnewline
[41,42[ & 41.5 & 0 & 0 & 0.981111 & 0 \tabularnewline
[42,43[ & 42.5 & 0 & 0 & 0.981111 & 0 \tabularnewline
[43,44[ & 43.5 & 0 & 0 & 0.981111 & 0 \tabularnewline
[44,45[ & 44.5 & 0 & 0 & 0.981111 & 0 \tabularnewline
[45,46[ & 45.5 & 0 & 0 & 0.981111 & 0 \tabularnewline
[46,47[ & 46.5 & 0 & 0 & 0.981111 & 0 \tabularnewline
[47,48[ & 47.5 & 0 & 0 & 0.981111 & 0 \tabularnewline
[48,49[ & 48.5 & 0 & 0 & 0.981111 & 0 \tabularnewline
[49,50[ & 49.5 & 0 & 0 & 0.981111 & 0 \tabularnewline
[50,51[ & 50.5 & 16 & 0.017778 & 0.998889 & 0.017778 \tabularnewline
[51,52[ & 51.5 & 0 & 0 & 0.998889 & 0 \tabularnewline
[52,53[ & 52.5 & 0 & 0 & 0.998889 & 0 \tabularnewline
[53,54[ & 53.5 & 0 & 0 & 0.998889 & 0 \tabularnewline
[54,55[ & 54.5 & 0 & 0 & 0.998889 & 0 \tabularnewline
[55,56[ & 55.5 & 0 & 0 & 0.998889 & 0 \tabularnewline
[56,57[ & 56.5 & 0 & 0 & 0.998889 & 0 \tabularnewline
[57,58[ & 57.5 & 0 & 0 & 0.998889 & 0 \tabularnewline
[58,59[ & 58.5 & 0 & 0 & 0.998889 & 0 \tabularnewline
[59,60[ & 59.5 & 0 & 0 & 0.998889 & 0 \tabularnewline
[60,61[ & 60.5 & 0 & 0 & 0.998889 & 0 \tabularnewline
[61,62[ & 61.5 & 0 & 0 & 0.998889 & 0 \tabularnewline
[62,63[ & 62.5 & 0 & 0 & 0.998889 & 0 \tabularnewline
[63,64[ & 63.5 & 0 & 0 & 0.998889 & 0 \tabularnewline
[64,65] & 64.5 & 1 & 0.001111 & 1 & 0.001111 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=73275&T=1

[TABLE]
[ROW][C]Frequency Table (Histogram)[/C][/ROW]
[ROW][C]Bins[/C][C]Midpoint[/C][C]Abs. Frequency[/C][C]Rel. Frequency[/C][C]Cumul. Rel. Freq.[/C][C]Density[/C][/ROW]
[ROW][C][5,6[[/C][C]5.5[/C][C]3[/C][C]0.003333[/C][C]0.003333[/C][C]0.003333[/C][/ROW]
[ROW][C][6,7[[/C][C]6.5[/C][C]1[/C][C]0.001111[/C][C]0.004444[/C][C]0.001111[/C][/ROW]
[ROW][C][7,8[[/C][C]7.5[/C][C]0[/C][C]0[/C][C]0.004444[/C][C]0[/C][/ROW]
[ROW][C][8,9[[/C][C]8.5[/C][C]1[/C][C]0.001111[/C][C]0.005556[/C][C]0.001111[/C][/ROW]
[ROW][C][9,10[[/C][C]9.5[/C][C]3[/C][C]0.003333[/C][C]0.008889[/C][C]0.003333[/C][/ROW]
[ROW][C][10,11[[/C][C]10.5[/C][C]17[/C][C]0.018889[/C][C]0.027778[/C][C]0.018889[/C][/ROW]
[ROW][C][11,12[[/C][C]11.5[/C][C]0[/C][C]0[/C][C]0.027778[/C][C]0[/C][/ROW]
[ROW][C][12,13[[/C][C]12.5[/C][C]25[/C][C]0.027778[/C][C]0.055556[/C][C]0.027778[/C][/ROW]
[ROW][C][13,14[[/C][C]13.5[/C][C]1[/C][C]0.001111[/C][C]0.056667[/C][C]0.001111[/C][/ROW]
[ROW][C][14,15[[/C][C]14.5[/C][C]0[/C][C]0[/C][C]0.056667[/C][C]0[/C][/ROW]
[ROW][C][15,16[[/C][C]15.5[/C][C]78[/C][C]0.086667[/C][C]0.143333[/C][C]0.086667[/C][/ROW]
[ROW][C][16,17[[/C][C]16.5[/C][C]3[/C][C]0.003333[/C][C]0.146667[/C][C]0.003333[/C][/ROW]
[ROW][C][17,18[[/C][C]17.5[/C][C]0[/C][C]0[/C][C]0.146667[/C][C]0[/C][/ROW]
[ROW][C][18,19[[/C][C]18.5[/C][C]25[/C][C]0.027778[/C][C]0.174444[/C][C]0.027778[/C][/ROW]
[ROW][C][19,20[[/C][C]19.5[/C][C]3[/C][C]0.003333[/C][C]0.177778[/C][C]0.003333[/C][/ROW]
[ROW][C][20,21[[/C][C]20.5[/C][C]195[/C][C]0.216667[/C][C]0.394444[/C][C]0.216667[/C][/ROW]
[ROW][C][21,22[[/C][C]21.5[/C][C]2[/C][C]0.002222[/C][C]0.396667[/C][C]0.002222[/C][/ROW]
[ROW][C][22,23[[/C][C]22.5[/C][C]97[/C][C]0.107778[/C][C]0.504444[/C][C]0.107778[/C][/ROW]
[ROW][C][23,24[[/C][C]23.5[/C][C]2[/C][C]0.002222[/C][C]0.506667[/C][C]0.002222[/C][/ROW]
[ROW][C][24,25[[/C][C]24.5[/C][C]4[/C][C]0.004444[/C][C]0.511111[/C][C]0.004444[/C][/ROW]
[ROW][C][25,26[[/C][C]25.5[/C][C]296[/C][C]0.328889[/C][C]0.84[/C][C]0.328889[/C][/ROW]
[ROW][C][26,27[[/C][C]26.5[/C][C]2[/C][C]0.002222[/C][C]0.842222[/C][C]0.002222[/C][/ROW]
[ROW][C][27,28[[/C][C]27.5[/C][C]0[/C][C]0[/C][C]0.842222[/C][C]0[/C][/ROW]
[ROW][C][28,29[[/C][C]28.5[/C][C]4[/C][C]0.004444[/C][C]0.846667[/C][C]0.004444[/C][/ROW]
[ROW][C][29,30[[/C][C]29.5[/C][C]0[/C][C]0[/C][C]0.846667[/C][C]0[/C][/ROW]
[ROW][C][30,31[[/C][C]30.5[/C][C]80[/C][C]0.088889[/C][C]0.935556[/C][C]0.088889[/C][/ROW]
[ROW][C][31,32[[/C][C]31.5[/C][C]0[/C][C]0[/C][C]0.935556[/C][C]0[/C][/ROW]
[ROW][C][32,33[[/C][C]32.5[/C][C]0[/C][C]0[/C][C]0.935556[/C][C]0[/C][/ROW]
[ROW][C][33,34[[/C][C]33.5[/C][C]0[/C][C]0[/C][C]0.935556[/C][C]0[/C][/ROW]
[ROW][C][34,35[[/C][C]34.5[/C][C]0[/C][C]0[/C][C]0.935556[/C][C]0[/C][/ROW]
[ROW][C][35,36[[/C][C]35.5[/C][C]20[/C][C]0.022222[/C][C]0.957778[/C][C]0.022222[/C][/ROW]
[ROW][C][36,37[[/C][C]36.5[/C][C]0[/C][C]0[/C][C]0.957778[/C][C]0[/C][/ROW]
[ROW][C][37,38[[/C][C]37.5[/C][C]0[/C][C]0[/C][C]0.957778[/C][C]0[/C][/ROW]
[ROW][C][38,39[[/C][C]38.5[/C][C]1[/C][C]0.001111[/C][C]0.958889[/C][C]0.001111[/C][/ROW]
[ROW][C][39,40[[/C][C]39.5[/C][C]0[/C][C]0[/C][C]0.958889[/C][C]0[/C][/ROW]
[ROW][C][40,41[[/C][C]40.5[/C][C]20[/C][C]0.022222[/C][C]0.981111[/C][C]0.022222[/C][/ROW]
[ROW][C][41,42[[/C][C]41.5[/C][C]0[/C][C]0[/C][C]0.981111[/C][C]0[/C][/ROW]
[ROW][C][42,43[[/C][C]42.5[/C][C]0[/C][C]0[/C][C]0.981111[/C][C]0[/C][/ROW]
[ROW][C][43,44[[/C][C]43.5[/C][C]0[/C][C]0[/C][C]0.981111[/C][C]0[/C][/ROW]
[ROW][C][44,45[[/C][C]44.5[/C][C]0[/C][C]0[/C][C]0.981111[/C][C]0[/C][/ROW]
[ROW][C][45,46[[/C][C]45.5[/C][C]0[/C][C]0[/C][C]0.981111[/C][C]0[/C][/ROW]
[ROW][C][46,47[[/C][C]46.5[/C][C]0[/C][C]0[/C][C]0.981111[/C][C]0[/C][/ROW]
[ROW][C][47,48[[/C][C]47.5[/C][C]0[/C][C]0[/C][C]0.981111[/C][C]0[/C][/ROW]
[ROW][C][48,49[[/C][C]48.5[/C][C]0[/C][C]0[/C][C]0.981111[/C][C]0[/C][/ROW]
[ROW][C][49,50[[/C][C]49.5[/C][C]0[/C][C]0[/C][C]0.981111[/C][C]0[/C][/ROW]
[ROW][C][50,51[[/C][C]50.5[/C][C]16[/C][C]0.017778[/C][C]0.998889[/C][C]0.017778[/C][/ROW]
[ROW][C][51,52[[/C][C]51.5[/C][C]0[/C][C]0[/C][C]0.998889[/C][C]0[/C][/ROW]
[ROW][C][52,53[[/C][C]52.5[/C][C]0[/C][C]0[/C][C]0.998889[/C][C]0[/C][/ROW]
[ROW][C][53,54[[/C][C]53.5[/C][C]0[/C][C]0[/C][C]0.998889[/C][C]0[/C][/ROW]
[ROW][C][54,55[[/C][C]54.5[/C][C]0[/C][C]0[/C][C]0.998889[/C][C]0[/C][/ROW]
[ROW][C][55,56[[/C][C]55.5[/C][C]0[/C][C]0[/C][C]0.998889[/C][C]0[/C][/ROW]
[ROW][C][56,57[[/C][C]56.5[/C][C]0[/C][C]0[/C][C]0.998889[/C][C]0[/C][/ROW]
[ROW][C][57,58[[/C][C]57.5[/C][C]0[/C][C]0[/C][C]0.998889[/C][C]0[/C][/ROW]
[ROW][C][58,59[[/C][C]58.5[/C][C]0[/C][C]0[/C][C]0.998889[/C][C]0[/C][/ROW]
[ROW][C][59,60[[/C][C]59.5[/C][C]0[/C][C]0[/C][C]0.998889[/C][C]0[/C][/ROW]
[ROW][C][60,61[[/C][C]60.5[/C][C]0[/C][C]0[/C][C]0.998889[/C][C]0[/C][/ROW]
[ROW][C][61,62[[/C][C]61.5[/C][C]0[/C][C]0[/C][C]0.998889[/C][C]0[/C][/ROW]
[ROW][C][62,63[[/C][C]62.5[/C][C]0[/C][C]0[/C][C]0.998889[/C][C]0[/C][/ROW]
[ROW][C][63,64[[/C][C]63.5[/C][C]0[/C][C]0[/C][C]0.998889[/C][C]0[/C][/ROW]
[ROW][C][64,65][/C][C]64.5[/C][C]1[/C][C]0.001111[/C][C]1[/C][C]0.001111[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=73275&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=73275&T=1

As an alternative you can also use a QR Code:  

The GUIDs for individual cells are displayed in the table below:

Frequency Table (Histogram)
BinsMidpointAbs. FrequencyRel. FrequencyCumul. Rel. Freq.Density
[5,6[5.530.0033330.0033330.003333
[6,7[6.510.0011110.0044440.001111
[7,8[7.5000.0044440
[8,9[8.510.0011110.0055560.001111
[9,10[9.530.0033330.0088890.003333
[10,11[10.5170.0188890.0277780.018889
[11,12[11.5000.0277780
[12,13[12.5250.0277780.0555560.027778
[13,14[13.510.0011110.0566670.001111
[14,15[14.5000.0566670
[15,16[15.5780.0866670.1433330.086667
[16,17[16.530.0033330.1466670.003333
[17,18[17.5000.1466670
[18,19[18.5250.0277780.1744440.027778
[19,20[19.530.0033330.1777780.003333
[20,21[20.51950.2166670.3944440.216667
[21,22[21.520.0022220.3966670.002222
[22,23[22.5970.1077780.5044440.107778
[23,24[23.520.0022220.5066670.002222
[24,25[24.540.0044440.5111110.004444
[25,26[25.52960.3288890.840.328889
[26,27[26.520.0022220.8422220.002222
[27,28[27.5000.8422220
[28,29[28.540.0044440.8466670.004444
[29,30[29.5000.8466670
[30,31[30.5800.0888890.9355560.088889
[31,32[31.5000.9355560
[32,33[32.5000.9355560
[33,34[33.5000.9355560
[34,35[34.5000.9355560
[35,36[35.5200.0222220.9577780.022222
[36,37[36.5000.9577780
[37,38[37.5000.9577780
[38,39[38.510.0011110.9588890.001111
[39,40[39.5000.9588890
[40,41[40.5200.0222220.9811110.022222
[41,42[41.5000.9811110
[42,43[42.5000.9811110
[43,44[43.5000.9811110
[44,45[44.5000.9811110
[45,46[45.5000.9811110
[46,47[46.5000.9811110
[47,48[47.5000.9811110
[48,49[48.5000.9811110
[49,50[49.5000.9811110
[50,51[50.5160.0177780.9988890.017778
[51,52[51.5000.9988890
[52,53[52.5000.9988890
[53,54[53.5000.9988890
[54,55[54.5000.9988890
[55,56[55.5000.9988890
[56,57[56.5000.9988890
[57,58[57.5000.9988890
[58,59[58.5000.9988890
[59,60[59.5000.9988890
[60,61[60.5000.9988890
[61,62[61.5000.9988890
[62,63[62.5000.9988890
[63,64[63.5000.9988890
[64,65]64.510.00111110.001111



Parameters (Session):
par1 = 66 ; par2 = grey ; par3 = FALSE ; par4 = Unknown ;
Parameters (R input):
par1 = 66 ; par2 = grey ; par3 = FALSE ; par4 = Unknown ;
R code (references can be found in the software module):
par1 <- as.numeric(par1)
if (par3 == 'TRUE') par3 <- TRUE
if (par3 == 'FALSE') par3 <- FALSE
if (par4 == 'Unknown') par1 <- as.numeric(par1)
if (par4 == 'Interval/Ratio') par1 <- as.numeric(par1)
if (par4 == '3-point Likert') par1 <- c(1:3 - 0.5, 3.5)
if (par4 == '4-point Likert') par1 <- c(1:4 - 0.5, 4.5)
if (par4 == '5-point Likert') par1 <- c(1:5 - 0.5, 5.5)
if (par4 == '6-point Likert') par1 <- c(1:6 - 0.5, 6.5)
if (par4 == '7-point Likert') par1 <- c(1:7 - 0.5, 7.5)
if (par4 == '8-point Likert') par1 <- c(1:8 - 0.5, 8.5)
if (par4 == '9-point Likert') par1 <- c(1:9 - 0.5, 9.5)
if (par4 == '10-point Likert') par1 <- c(1:10 - 0.5, 10.5)
bitmap(file='test1.png')
if (is.na(par1)) {
myhist<-hist(x,col=par2,main=main,xlab=xlab,right=par3)
} else {
if (par1 < 0) par1 <- 3
if (par1 > 50) par1 <- 50
myhist<-hist(x,breaks=par1,col=par2,main=main,xlab=xlab,right=par3)
}
dev.off()
myhist
n <- length(x)
load(file='createtable')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,hyperlink('histogram.htm','Frequency Table (Histogram)',''),6,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Bins',header=TRUE)
a<-table.element(a,'Midpoint',header=TRUE)
a<-table.element(a,'Abs. Frequency',header=TRUE)
a<-table.element(a,'Rel. Frequency',header=TRUE)
a<-table.element(a,'Cumul. Rel. Freq.',header=TRUE)
a<-table.element(a,'Density',header=TRUE)
a<-table.row.end(a)
crf <- 0
if (par3 == FALSE) mybracket <- '[' else mybracket <- ']'
mynumrows <- (length(myhist$breaks)-1)
for (i in 1:mynumrows) {
a<-table.row.start(a)
if (i == 1)
dum <- paste('[',myhist$breaks[i],sep='')
else
dum <- paste(mybracket,myhist$breaks[i],sep='')
dum <- paste(dum,myhist$breaks[i+1],sep=',')
if (i==mynumrows)
dum <- paste(dum,']',sep='')
else
dum <- paste(dum,mybracket,sep='')
a<-table.element(a,dum,header=TRUE)
a<-table.element(a,myhist$mids[i])
a<-table.element(a,myhist$counts[i])
rf <- myhist$counts[i]/n
crf <- crf + rf
a<-table.element(a,round(rf,6))
a<-table.element(a,round(crf,6))
a<-table.element(a,round(myhist$density[i],6))
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable.tab')