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Author's title

Author

*Unverified author*

R Software Module

rwasp_histogram.wasp

Title produced by software

Histogram

Date of computation

Mon, 04 Oct 2010 18:34:30 +0000

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/2010/Oct/04/t1286219137i9ph8akyb4yqe7r.htm/, Retrieved Sat, 27 Apr 2024 22:26:10 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=80997, Retrieved Sat, 27 Apr 2024 22:26:10 +0000

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IsPrivate?

No (this computation is public)

User-defined keywords

KDGP1W22 - Sofie Baert

Estimated Impact

122

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

-     [Histogram] [] [2010-09-25 11:38:22] [fe4ccc8fdcc8422067764f5d6ee76c9b]
-   P     [Histogram] [] [2010-10-04 18:34:30] [1ce81d942cb901782da36327f25f651a] [Current]

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Dataseries X:

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Histogram

Boxplots

Summary of computational transaction
Raw Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	1 seconds
R Server	'George Udny Yule' @ 72.249.76.132

\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 & 'George Udny Yule' @ 72.249.76.132 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=80997&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]'George Udny Yule' @ 72.249.76.132[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=80997&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=80997&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	1 seconds
R Server	'George Udny Yule' @ 72.249.76.132

Frequency Table (Histogram)
Bins	Midpoint	Abs. Frequency	Rel. Frequency	Cumul. Rel. Freq.	Density
[6.58,6.6[	6.59	4	0.055556	0.055556	2.777778
[6.6,6.62[	6.61	0	0	0.055556	0
[6.62,6.64[	6.63	17	0.236111	0.291667	11.805556
[6.64,6.66[	6.65	0	0	0.291667	0
[6.66,6.68[	6.67	0	0	0.291667	0
[6.68,6.7[	6.69	0	0	0.291667	0
[6.7,6.72[	6.71	0	0	0.291667	0
[6.72,6.74[	6.73	0	0	0.291667	0
[6.74,6.76[	6.75	0	0	0.291667	0
[6.76,6.78[	6.77	0	0	0.291667	0
[6.78,6.8[	6.79	3	0.041667	0.333333	2.083333
[6.8,6.82[	6.81	3	0.041667	0.375	2.083333
[6.82,6.84[	6.83	0	0	0.375	0
[6.84,6.86[	6.85	6	0.083333	0.458333	4.166667
[6.86,6.88[	6.87	2	0.027778	0.486111	1.388889
[6.88,6.9[	6.89	3	0.041667	0.527778	2.083333
[6.9,6.92[	6.91	4	0.055556	0.583333	2.777778
[6.92,6.94[	6.93	0	0	0.583333	0
[6.94,6.96[	6.95	0	0	0.583333	0
[6.96,6.98[	6.97	0	0	0.583333	0
[6.98,7[	6.99	3	0.041667	0.625	2.083333
[7,7.02[	7.01	0	0	0.625	0
[7.02,7.04[	7.03	2	0.027778	0.652778	1.388889
[7.04,7.06[	7.05	4	0.055556	0.708333	2.777778
[7.06,7.08[	7.07	0	0	0.708333	0
[7.08,7.1[	7.09	0	0	0.708333	0
[7.1,7.12[	7.11	4	0.055556	0.763889	2.777778
[7.12,7.14[	7.13	2	0.027778	0.791667	1.388889
[7.14,7.16[	7.15	0	0	0.791667	0
[7.16,7.18[	7.17	0	0	0.791667	0
[7.18,7.2[	7.19	1	0.013889	0.805556	0.694444
[7.2,7.22[	7.21	0	0	0.805556	0
[7.22,7.24[	7.23	0	0	0.805556	0
[7.24,7.26[	7.25	3	0.041667	0.847222	2.083333
[7.26,7.28[	7.27	4	0.055556	0.902778	2.777778
[7.28,7.3[	7.29	0	0	0.902778	0
[7.3,7.32[	7.31	2	0.027778	0.930556	1.388889
[7.32,7.34[	7.33	0	0	0.930556	0
[7.34,7.36[	7.35	0	0	0.930556	0
[7.36,7.38[	7.37	0	0	0.930556	0
[7.38,7.4[	7.39	0	0	0.930556	0
[7.4,7.42[	7.41	0	0	0.930556	0
[7.42,7.44[	7.43	0	0	0.930556	0
[7.44,7.46[	7.45	0	0	0.930556	0
[7.46,7.48[	7.47	0	0	0.930556	0
[7.48,7.5[	7.49	0	0	0.930556	0
[7.5,7.52[	7.51	0	0	0.930556	0
[7.52,7.54[	7.53	0	0	0.930556	0
[7.54,7.56[	7.55	0	0	0.930556	0
[7.56,7.58[	7.57	1	0.013889	0.944444	0.694444
[7.58,7.6[	7.59	0	0	0.944444	0
[7.6,7.62[	7.61	0	0	0.944444	0
[7.62,7.64[	7.63	0	0	0.944444	0
[7.64,7.66[	7.65	0	0	0.944444	0
[7.66,7.68[	7.67	0	0	0.944444	0
[7.68,7.7[	7.69	0	0	0.944444	0
[7.7,7.72[	7.71	0	0	0.944444	0
[7.72,7.74[	7.73	0	0	0.944444	0
[7.74,7.76[	7.75	0	0	0.944444	0
[7.76,7.78[	7.77	1	0.013889	0.958333	0.694444
[7.78,7.8[	7.79	0	0	0.958333	0
[7.8,7.82[	7.81	0	0	0.958333	0
[7.82,7.84[	7.83	0	0	0.958333	0
[7.84,7.86[	7.85	0	0	0.958333	0
[7.86,7.88[	7.87	0	0	0.958333	0
[7.88,7.9[	7.89	0	0	0.958333	0
[7.9,7.92[	7.91	0	0	0.958333	0
[7.92,7.94[	7.93	0	0	0.958333	0
[7.94,7.96]	7.95	3	0.041667	1	2.083333

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[6.58,6.6[ & 6.59 & 4 & 0.055556 & 0.055556 & 2.777778 \tabularnewline
[6.6,6.62[ & 6.61 & 0 & 0 & 0.055556 & 0 \tabularnewline
[6.62,6.64[ & 6.63 & 17 & 0.236111 & 0.291667 & 11.805556 \tabularnewline
[6.64,6.66[ & 6.65 & 0 & 0 & 0.291667 & 0 \tabularnewline
[6.66,6.68[ & 6.67 & 0 & 0 & 0.291667 & 0 \tabularnewline
[6.68,6.7[ & 6.69 & 0 & 0 & 0.291667 & 0 \tabularnewline
[6.7,6.72[ & 6.71 & 0 & 0 & 0.291667 & 0 \tabularnewline
[6.72,6.74[ & 6.73 & 0 & 0 & 0.291667 & 0 \tabularnewline
[6.74,6.76[ & 6.75 & 0 & 0 & 0.291667 & 0 \tabularnewline
[6.76,6.78[ & 6.77 & 0 & 0 & 0.291667 & 0 \tabularnewline
[6.78,6.8[ & 6.79 & 3 & 0.041667 & 0.333333 & 2.083333 \tabularnewline
[6.8,6.82[ & 6.81 & 3 & 0.041667 & 0.375 & 2.083333 \tabularnewline
[6.82,6.84[ & 6.83 & 0 & 0 & 0.375 & 0 \tabularnewline
[6.84,6.86[ & 6.85 & 6 & 0.083333 & 0.458333 & 4.166667 \tabularnewline
[6.86,6.88[ & 6.87 & 2 & 0.027778 & 0.486111 & 1.388889 \tabularnewline
[6.88,6.9[ & 6.89 & 3 & 0.041667 & 0.527778 & 2.083333 \tabularnewline
[6.9,6.92[ & 6.91 & 4 & 0.055556 & 0.583333 & 2.777778 \tabularnewline
[6.92,6.94[ & 6.93 & 0 & 0 & 0.583333 & 0 \tabularnewline
[6.94,6.96[ & 6.95 & 0 & 0 & 0.583333 & 0 \tabularnewline
[6.96,6.98[ & 6.97 & 0 & 0 & 0.583333 & 0 \tabularnewline
[6.98,7[ & 6.99 & 3 & 0.041667 & 0.625 & 2.083333 \tabularnewline
[7,7.02[ & 7.01 & 0 & 0 & 0.625 & 0 \tabularnewline
[7.02,7.04[ & 7.03 & 2 & 0.027778 & 0.652778 & 1.388889 \tabularnewline
[7.04,7.06[ & 7.05 & 4 & 0.055556 & 0.708333 & 2.777778 \tabularnewline
[7.06,7.08[ & 7.07 & 0 & 0 & 0.708333 & 0 \tabularnewline
[7.08,7.1[ & 7.09 & 0 & 0 & 0.708333 & 0 \tabularnewline
[7.1,7.12[ & 7.11 & 4 & 0.055556 & 0.763889 & 2.777778 \tabularnewline
[7.12,7.14[ & 7.13 & 2 & 0.027778 & 0.791667 & 1.388889 \tabularnewline
[7.14,7.16[ & 7.15 & 0 & 0 & 0.791667 & 0 \tabularnewline
[7.16,7.18[ & 7.17 & 0 & 0 & 0.791667 & 0 \tabularnewline
[7.18,7.2[ & 7.19 & 1 & 0.013889 & 0.805556 & 0.694444 \tabularnewline
[7.2,7.22[ & 7.21 & 0 & 0 & 0.805556 & 0 \tabularnewline
[7.22,7.24[ & 7.23 & 0 & 0 & 0.805556 & 0 \tabularnewline
[7.24,7.26[ & 7.25 & 3 & 0.041667 & 0.847222 & 2.083333 \tabularnewline
[7.26,7.28[ & 7.27 & 4 & 0.055556 & 0.902778 & 2.777778 \tabularnewline
[7.28,7.3[ & 7.29 & 0 & 0 & 0.902778 & 0 \tabularnewline
[7.3,7.32[ & 7.31 & 2 & 0.027778 & 0.930556 & 1.388889 \tabularnewline
[7.32,7.34[ & 7.33 & 0 & 0 & 0.930556 & 0 \tabularnewline
[7.34,7.36[ & 7.35 & 0 & 0 & 0.930556 & 0 \tabularnewline
[7.36,7.38[ & 7.37 & 0 & 0 & 0.930556 & 0 \tabularnewline
[7.38,7.4[ & 7.39 & 0 & 0 & 0.930556 & 0 \tabularnewline
[7.4,7.42[ & 7.41 & 0 & 0 & 0.930556 & 0 \tabularnewline
[7.42,7.44[ & 7.43 & 0 & 0 & 0.930556 & 0 \tabularnewline
[7.44,7.46[ & 7.45 & 0 & 0 & 0.930556 & 0 \tabularnewline
[7.46,7.48[ & 7.47 & 0 & 0 & 0.930556 & 0 \tabularnewline
[7.48,7.5[ & 7.49 & 0 & 0 & 0.930556 & 0 \tabularnewline
[7.5,7.52[ & 7.51 & 0 & 0 & 0.930556 & 0 \tabularnewline
[7.52,7.54[ & 7.53 & 0 & 0 & 0.930556 & 0 \tabularnewline
[7.54,7.56[ & 7.55 & 0 & 0 & 0.930556 & 0 \tabularnewline
[7.56,7.58[ & 7.57 & 1 & 0.013889 & 0.944444 & 0.694444 \tabularnewline
[7.58,7.6[ & 7.59 & 0 & 0 & 0.944444 & 0 \tabularnewline
[7.6,7.62[ & 7.61 & 0 & 0 & 0.944444 & 0 \tabularnewline
[7.62,7.64[ & 7.63 & 0 & 0 & 0.944444 & 0 \tabularnewline
[7.64,7.66[ & 7.65 & 0 & 0 & 0.944444 & 0 \tabularnewline
[7.66,7.68[ & 7.67 & 0 & 0 & 0.944444 & 0 \tabularnewline
[7.68,7.7[ & 7.69 & 0 & 0 & 0.944444 & 0 \tabularnewline
[7.7,7.72[ & 7.71 & 0 & 0 & 0.944444 & 0 \tabularnewline
[7.72,7.74[ & 7.73 & 0 & 0 & 0.944444 & 0 \tabularnewline
[7.74,7.76[ & 7.75 & 0 & 0 & 0.944444 & 0 \tabularnewline
[7.76,7.78[ & 7.77 & 1 & 0.013889 & 0.958333 & 0.694444 \tabularnewline
[7.78,7.8[ & 7.79 & 0 & 0 & 0.958333 & 0 \tabularnewline
[7.8,7.82[ & 7.81 & 0 & 0 & 0.958333 & 0 \tabularnewline
[7.82,7.84[ & 7.83 & 0 & 0 & 0.958333 & 0 \tabularnewline
[7.84,7.86[ & 7.85 & 0 & 0 & 0.958333 & 0 \tabularnewline
[7.86,7.88[ & 7.87 & 0 & 0 & 0.958333 & 0 \tabularnewline
[7.88,7.9[ & 7.89 & 0 & 0 & 0.958333 & 0 \tabularnewline
[7.9,7.92[ & 7.91 & 0 & 0 & 0.958333 & 0 \tabularnewline
[7.92,7.94[ & 7.93 & 0 & 0 & 0.958333 & 0 \tabularnewline
[7.94,7.96] & 7.95 & 3 & 0.041667 & 1 & 2.083333 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=80997&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][6.58,6.6[[/C][C]6.59[/C][C]4[/C][C]0.055556[/C][C]0.055556[/C][C]2.777778[/C][/ROW]
[ROW][C][6.6,6.62[[/C][C]6.61[/C][C]0[/C][C]0[/C][C]0.055556[/C][C]0[/C][/ROW]
[ROW][C][6.62,6.64[[/C][C]6.63[/C][C]17[/C][C]0.236111[/C][C]0.291667[/C][C]11.805556[/C][/ROW]
[ROW][C][6.64,6.66[[/C][C]6.65[/C][C]0[/C][C]0[/C][C]0.291667[/C][C]0[/C][/ROW]
[ROW][C][6.66,6.68[[/C][C]6.67[/C][C]0[/C][C]0[/C][C]0.291667[/C][C]0[/C][/ROW]
[ROW][C][6.68,6.7[[/C][C]6.69[/C][C]0[/C][C]0[/C][C]0.291667[/C][C]0[/C][/ROW]
[ROW][C][6.7,6.72[[/C][C]6.71[/C][C]0[/C][C]0[/C][C]0.291667[/C][C]0[/C][/ROW]
[ROW][C][6.72,6.74[[/C][C]6.73[/C][C]0[/C][C]0[/C][C]0.291667[/C][C]0[/C][/ROW]
[ROW][C][6.74,6.76[[/C][C]6.75[/C][C]0[/C][C]0[/C][C]0.291667[/C][C]0[/C][/ROW]
[ROW][C][6.76,6.78[[/C][C]6.77[/C][C]0[/C][C]0[/C][C]0.291667[/C][C]0[/C][/ROW]
[ROW][C][6.78,6.8[[/C][C]6.79[/C][C]3[/C][C]0.041667[/C][C]0.333333[/C][C]2.083333[/C][/ROW]
[ROW][C][6.8,6.82[[/C][C]6.81[/C][C]3[/C][C]0.041667[/C][C]0.375[/C][C]2.083333[/C][/ROW]
[ROW][C][6.82,6.84[[/C][C]6.83[/C][C]0[/C][C]0[/C][C]0.375[/C][C]0[/C][/ROW]
[ROW][C][6.84,6.86[[/C][C]6.85[/C][C]6[/C][C]0.083333[/C][C]0.458333[/C][C]4.166667[/C][/ROW]
[ROW][C][6.86,6.88[[/C][C]6.87[/C][C]2[/C][C]0.027778[/C][C]0.486111[/C][C]1.388889[/C][/ROW]
[ROW][C][6.88,6.9[[/C][C]6.89[/C][C]3[/C][C]0.041667[/C][C]0.527778[/C][C]2.083333[/C][/ROW]
[ROW][C][6.9,6.92[[/C][C]6.91[/C][C]4[/C][C]0.055556[/C][C]0.583333[/C][C]2.777778[/C][/ROW]
[ROW][C][6.92,6.94[[/C][C]6.93[/C][C]0[/C][C]0[/C][C]0.583333[/C][C]0[/C][/ROW]
[ROW][C][6.94,6.96[[/C][C]6.95[/C][C]0[/C][C]0[/C][C]0.583333[/C][C]0[/C][/ROW]
[ROW][C][6.96,6.98[[/C][C]6.97[/C][C]0[/C][C]0[/C][C]0.583333[/C][C]0[/C][/ROW]
[ROW][C][6.98,7[[/C][C]6.99[/C][C]3[/C][C]0.041667[/C][C]0.625[/C][C]2.083333[/C][/ROW]
[ROW][C][7,7.02[[/C][C]7.01[/C][C]0[/C][C]0[/C][C]0.625[/C][C]0[/C][/ROW]
[ROW][C][7.02,7.04[[/C][C]7.03[/C][C]2[/C][C]0.027778[/C][C]0.652778[/C][C]1.388889[/C][/ROW]
[ROW][C][7.04,7.06[[/C][C]7.05[/C][C]4[/C][C]0.055556[/C][C]0.708333[/C][C]2.777778[/C][/ROW]
[ROW][C][7.06,7.08[[/C][C]7.07[/C][C]0[/C][C]0[/C][C]0.708333[/C][C]0[/C][/ROW]
[ROW][C][7.08,7.1[[/C][C]7.09[/C][C]0[/C][C]0[/C][C]0.708333[/C][C]0[/C][/ROW]
[ROW][C][7.1,7.12[[/C][C]7.11[/C][C]4[/C][C]0.055556[/C][C]0.763889[/C][C]2.777778[/C][/ROW]
[ROW][C][7.12,7.14[[/C][C]7.13[/C][C]2[/C][C]0.027778[/C][C]0.791667[/C][C]1.388889[/C][/ROW]
[ROW][C][7.14,7.16[[/C][C]7.15[/C][C]0[/C][C]0[/C][C]0.791667[/C][C]0[/C][/ROW]
[ROW][C][7.16,7.18[[/C][C]7.17[/C][C]0[/C][C]0[/C][C]0.791667[/C][C]0[/C][/ROW]
[ROW][C][7.18,7.2[[/C][C]7.19[/C][C]1[/C][C]0.013889[/C][C]0.805556[/C][C]0.694444[/C][/ROW]
[ROW][C][7.2,7.22[[/C][C]7.21[/C][C]0[/C][C]0[/C][C]0.805556[/C][C]0[/C][/ROW]
[ROW][C][7.22,7.24[[/C][C]7.23[/C][C]0[/C][C]0[/C][C]0.805556[/C][C]0[/C][/ROW]
[ROW][C][7.24,7.26[[/C][C]7.25[/C][C]3[/C][C]0.041667[/C][C]0.847222[/C][C]2.083333[/C][/ROW]
[ROW][C][7.26,7.28[[/C][C]7.27[/C][C]4[/C][C]0.055556[/C][C]0.902778[/C][C]2.777778[/C][/ROW]
[ROW][C][7.28,7.3[[/C][C]7.29[/C][C]0[/C][C]0[/C][C]0.902778[/C][C]0[/C][/ROW]
[ROW][C][7.3,7.32[[/C][C]7.31[/C][C]2[/C][C]0.027778[/C][C]0.930556[/C][C]1.388889[/C][/ROW]
[ROW][C][7.32,7.34[[/C][C]7.33[/C][C]0[/C][C]0[/C][C]0.930556[/C][C]0[/C][/ROW]
[ROW][C][7.34,7.36[[/C][C]7.35[/C][C]0[/C][C]0[/C][C]0.930556[/C][C]0[/C][/ROW]
[ROW][C][7.36,7.38[[/C][C]7.37[/C][C]0[/C][C]0[/C][C]0.930556[/C][C]0[/C][/ROW]
[ROW][C][7.38,7.4[[/C][C]7.39[/C][C]0[/C][C]0[/C][C]0.930556[/C][C]0[/C][/ROW]
[ROW][C][7.4,7.42[[/C][C]7.41[/C][C]0[/C][C]0[/C][C]0.930556[/C][C]0[/C][/ROW]
[ROW][C][7.42,7.44[[/C][C]7.43[/C][C]0[/C][C]0[/C][C]0.930556[/C][C]0[/C][/ROW]
[ROW][C][7.44,7.46[[/C][C]7.45[/C][C]0[/C][C]0[/C][C]0.930556[/C][C]0[/C][/ROW]
[ROW][C][7.46,7.48[[/C][C]7.47[/C][C]0[/C][C]0[/C][C]0.930556[/C][C]0[/C][/ROW]
[ROW][C][7.48,7.5[[/C][C]7.49[/C][C]0[/C][C]0[/C][C]0.930556[/C][C]0[/C][/ROW]
[ROW][C][7.5,7.52[[/C][C]7.51[/C][C]0[/C][C]0[/C][C]0.930556[/C][C]0[/C][/ROW]
[ROW][C][7.52,7.54[[/C][C]7.53[/C][C]0[/C][C]0[/C][C]0.930556[/C][C]0[/C][/ROW]
[ROW][C][7.54,7.56[[/C][C]7.55[/C][C]0[/C][C]0[/C][C]0.930556[/C][C]0[/C][/ROW]
[ROW][C][7.56,7.58[[/C][C]7.57[/C][C]1[/C][C]0.013889[/C][C]0.944444[/C][C]0.694444[/C][/ROW]
[ROW][C][7.58,7.6[[/C][C]7.59[/C][C]0[/C][C]0[/C][C]0.944444[/C][C]0[/C][/ROW]
[ROW][C][7.6,7.62[[/C][C]7.61[/C][C]0[/C][C]0[/C][C]0.944444[/C][C]0[/C][/ROW]
[ROW][C][7.62,7.64[[/C][C]7.63[/C][C]0[/C][C]0[/C][C]0.944444[/C][C]0[/C][/ROW]
[ROW][C][7.64,7.66[[/C][C]7.65[/C][C]0[/C][C]0[/C][C]0.944444[/C][C]0[/C][/ROW]
[ROW][C][7.66,7.68[[/C][C]7.67[/C][C]0[/C][C]0[/C][C]0.944444[/C][C]0[/C][/ROW]
[ROW][C][7.68,7.7[[/C][C]7.69[/C][C]0[/C][C]0[/C][C]0.944444[/C][C]0[/C][/ROW]
[ROW][C][7.7,7.72[[/C][C]7.71[/C][C]0[/C][C]0[/C][C]0.944444[/C][C]0[/C][/ROW]
[ROW][C][7.72,7.74[[/C][C]7.73[/C][C]0[/C][C]0[/C][C]0.944444[/C][C]0[/C][/ROW]
[ROW][C][7.74,7.76[[/C][C]7.75[/C][C]0[/C][C]0[/C][C]0.944444[/C][C]0[/C][/ROW]
[ROW][C][7.76,7.78[[/C][C]7.77[/C][C]1[/C][C]0.013889[/C][C]0.958333[/C][C]0.694444[/C][/ROW]
[ROW][C][7.78,7.8[[/C][C]7.79[/C][C]0[/C][C]0[/C][C]0.958333[/C][C]0[/C][/ROW]
[ROW][C][7.8,7.82[[/C][C]7.81[/C][C]0[/C][C]0[/C][C]0.958333[/C][C]0[/C][/ROW]
[ROW][C][7.82,7.84[[/C][C]7.83[/C][C]0[/C][C]0[/C][C]0.958333[/C][C]0[/C][/ROW]
[ROW][C][7.84,7.86[[/C][C]7.85[/C][C]0[/C][C]0[/C][C]0.958333[/C][C]0[/C][/ROW]
[ROW][C][7.86,7.88[[/C][C]7.87[/C][C]0[/C][C]0[/C][C]0.958333[/C][C]0[/C][/ROW]
[ROW][C][7.88,7.9[[/C][C]7.89[/C][C]0[/C][C]0[/C][C]0.958333[/C][C]0[/C][/ROW]
[ROW][C][7.9,7.92[[/C][C]7.91[/C][C]0[/C][C]0[/C][C]0.958333[/C][C]0[/C][/ROW]
[ROW][C][7.92,7.94[[/C][C]7.93[/C][C]0[/C][C]0[/C][C]0.958333[/C][C]0[/C][/ROW]
[ROW][C][7.94,7.96][/C][C]7.95[/C][C]3[/C][C]0.041667[/C][C]1[/C][C]2.083333[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=80997&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=80997&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)
Bins	Midpoint	Abs. Frequency	Rel. Frequency	Cumul. Rel. Freq.	Density
[6.58,6.6[	6.59	4	0.055556	0.055556	2.777778
[6.6,6.62[	6.61	0	0	0.055556	0
[6.62,6.64[	6.63	17	0.236111	0.291667	11.805556
[6.64,6.66[	6.65	0	0	0.291667	0
[6.66,6.68[	6.67	0	0	0.291667	0
[6.68,6.7[	6.69	0	0	0.291667	0
[6.7,6.72[	6.71	0	0	0.291667	0
[6.72,6.74[	6.73	0	0	0.291667	0
[6.74,6.76[	6.75	0	0	0.291667	0
[6.76,6.78[	6.77	0	0	0.291667	0
[6.78,6.8[	6.79	3	0.041667	0.333333	2.083333
[6.8,6.82[	6.81	3	0.041667	0.375	2.083333
[6.82,6.84[	6.83	0	0	0.375	0
[6.84,6.86[	6.85	6	0.083333	0.458333	4.166667
[6.86,6.88[	6.87	2	0.027778	0.486111	1.388889
[6.88,6.9[	6.89	3	0.041667	0.527778	2.083333
[6.9,6.92[	6.91	4	0.055556	0.583333	2.777778
[6.92,6.94[	6.93	0	0	0.583333	0
[6.94,6.96[	6.95	0	0	0.583333	0
[6.96,6.98[	6.97	0	0	0.583333	0
[6.98,7[	6.99	3	0.041667	0.625	2.083333
[7,7.02[	7.01	0	0	0.625	0
[7.02,7.04[	7.03	2	0.027778	0.652778	1.388889
[7.04,7.06[	7.05	4	0.055556	0.708333	2.777778
[7.06,7.08[	7.07	0	0	0.708333	0
[7.08,7.1[	7.09	0	0	0.708333	0
[7.1,7.12[	7.11	4	0.055556	0.763889	2.777778
[7.12,7.14[	7.13	2	0.027778	0.791667	1.388889
[7.14,7.16[	7.15	0	0	0.791667	0
[7.16,7.18[	7.17	0	0	0.791667	0
[7.18,7.2[	7.19	1	0.013889	0.805556	0.694444
[7.2,7.22[	7.21	0	0	0.805556	0
[7.22,7.24[	7.23	0	0	0.805556	0
[7.24,7.26[	7.25	3	0.041667	0.847222	2.083333
[7.26,7.28[	7.27	4	0.055556	0.902778	2.777778
[7.28,7.3[	7.29	0	0	0.902778	0
[7.3,7.32[	7.31	2	0.027778	0.930556	1.388889
[7.32,7.34[	7.33	0	0	0.930556	0
[7.34,7.36[	7.35	0	0	0.930556	0
[7.36,7.38[	7.37	0	0	0.930556	0
[7.38,7.4[	7.39	0	0	0.930556	0
[7.4,7.42[	7.41	0	0	0.930556	0
[7.42,7.44[	7.43	0	0	0.930556	0
[7.44,7.46[	7.45	0	0	0.930556	0
[7.46,7.48[	7.47	0	0	0.930556	0
[7.48,7.5[	7.49	0	0	0.930556	0
[7.5,7.52[	7.51	0	0	0.930556	0
[7.52,7.54[	7.53	0	0	0.930556	0
[7.54,7.56[	7.55	0	0	0.930556	0
[7.56,7.58[	7.57	1	0.013889	0.944444	0.694444
[7.58,7.6[	7.59	0	0	0.944444	0
[7.6,7.62[	7.61	0	0	0.944444	0
[7.62,7.64[	7.63	0	0	0.944444	0
[7.64,7.66[	7.65	0	0	0.944444	0
[7.66,7.68[	7.67	0	0	0.944444	0
[7.68,7.7[	7.69	0	0	0.944444	0
[7.7,7.72[	7.71	0	0	0.944444	0
[7.72,7.74[	7.73	0	0	0.944444	0
[7.74,7.76[	7.75	0	0	0.944444	0
[7.76,7.78[	7.77	1	0.013889	0.958333	0.694444
[7.78,7.8[	7.79	0	0	0.958333	0
[7.8,7.82[	7.81	0	0	0.958333	0
[7.82,7.84[	7.83	0	0	0.958333	0
[7.84,7.86[	7.85	0	0	0.958333	0
[7.86,7.88[	7.87	0	0	0.958333	0
[7.88,7.9[	7.89	0	0	0.958333	0
[7.9,7.92[	7.91	0	0	0.958333	0
[7.92,7.94[	7.93	0	0	0.958333	0
[7.94,7.96]	7.95	3	0.041667	1	2.083333

Figure 1

PNG link

Postscript link

PDF link

Parameters (Session):

par1 = 80 ; par2 = grey ; par3 = FALSE ; par4 = Unknown ;

Parameters (R input):

par1 = 80 ; 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.numeric(x[1])) {
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)
}
} else {
plot(mytab <- table(x),col=par2,main='Frequency Plot',xlab=xlab,ylab='Absolute Frequency')
}
dev.off()
if(is.numeric(x[1])) {
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')
} else {
mytab
reltab <- mytab / sum(mytab)
n <- length(mytab)
load(file='createtable')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Frequency Table (Categorical Data)',3,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Category',header=TRUE)
a<-table.element(a,'Abs. Frequency',header=TRUE)
a<-table.element(a,'Rel. Frequency',header=TRUE)
a<-table.row.end(a)
for (i in 1:n) {
a<-table.row.start(a)
a<-table.element(a,labels(mytab)$x[i],header=TRUE)
a<-table.element(a,mytab[i])
a<-table.element(a,round(reltab[i],4))
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable1.tab')
}

Free Statistics

Description of Statistical Computation

Tree of Dependent Computations

Dataset

Tables (Output of Computation)

Figures (Output of Computation)

Input Parameters & R Code