FreeStatistics.org

Free Statistics

of Irreproducible Research!

Description of Statistical Computation

Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_histogram.wasp
Title produced by softwareHistogram
Date of computationFri, 04 Dec 2015 09:56:34 +0000
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2015/Dec/04/t14492237155t6351n1e7edhrx.htm/, Retrieved Sat, 18 May 2024 15:52:23 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=285050, Retrieved Sat, 18 May 2024 15:52:23 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact137

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Histogram] [Verdeling 1991-1996] [2015-12-04 09:56:34] [19257762123ac9dca9ca2540ec1ddee7] [Current]
- R  D    [Histogram] [verdeling 1991-2010] [2015-12-04 10:25:55] [162b8178c9d5754ca799efb8bf9ef5b4]
Feedback Forum

Post a new message

Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
10
9
2
7
4
2
3
4
4
1
18
6
1
2
3
16
11
2
6
1
7
3
4
1
4
9
4
3
2
7
6
4
3
1
11
3
21
4
1
1
1
3
1
3
8
4
7
1
7
1
1
4
3
9
13
12
5
14
1
4
3
7
3
2
1
7
12
9
5
1
9
17
1
2
6
5
14
4
2
8
10
1
1
5
3
4
11
4
17
3
7
1
1
3
1
11
6
8
10
11
7
7
2
7
6
2
3
1
3
11
7
5
2
4
3
3
9
4
7
9
2
4
2
4
1
2
5
3
4
14
2
2
12
6
19
6
6
2
5
2
14
1
1
2
7
5
2
8
2
4
2
1
1
9
4
6
4
5
7
2
6
3
12
16
1
1
4
9
6
6
11
13
1
8
4
13
5
3
5
15
5
9
4
1
3
9
4
7
8
6
6
6
7
8
1
5
2
3
10
1
10
9
2
1
5
2
1
2
4
8
2
2
3
1
1
5
7
6
2
13
10
1
8
9
4
3
1
14
9
2
1
3
4
8
16
5
11
1
5
13
19
11
9
6
4
1
3
1
3
1
6
4
3
9
1
6
2
8
2
7
6
6
5
8
3
7
2
9
5
14
2
18
3
4
8
4
5
10
6
14
2
1
11
6
4
1
10
9
13
7
5
4
13
2
8
1
1
2
2
7
15
11
3
4
7
3
6
2
2
5
1
5
5
9
9
10
1
2
1
11
2
1
12
16
5
1
5
2
2
9
1
1
2
1
5
1
2
14
1
1
3
4
5
11
12
10
15
11
11
1
4
6
1
4
15
2
8
8
2
14
5
2
1
3
1
2
13
6
6
5
10
2
4
5
9
6
12
16
6
2
2
6
17
3
1
2
5
2
2
7
3
4
1
8
10
11
5
3
7
3
2
2
1
2
1
11
7
10
1
9
1
18
2
10
6
10
1
2
1
4
3
3
4
2
10
9
2
5
15
2
15
2
2
6
2
2
4
10
9
15
10
1
14
2
15
19
5
6
9
1
1
4
19
1
2
1
2
13
16
4
5
3
2
6
11
7
1
3
5
3
4
1
4
3
3
12
10
12
1
8
2
5
17
20
6
19
7
4
5
17
9
5
21
10
6
4
7
17
13
3
12
7
11
5
11
9
7
19
9
12
11
8
13
15
9
4
12
6
25
8
10
3
7
6
10
17
15
8
9
7
8
7
8
10
12
22
15
16
12
17
27
17
21
14
7
4
18
11
17
13
11
4
12
22
5
5
12
17
16
22
24
10
18
3
11
16
10
5
12
22
21
5
15
8
4
18
19
20
15
16
11
13
14
17
7
10
13
7
11
7
7
18
14
22
7
7
7
13
14
6
11
15
9
10
3
8
15
10
9
9
17
18
18
11
13
19
20
11
14
14
18
3
22
6
6
4
17
17
9
14
4
8
6
20
2
10
5
7
7
8
9
9
10
8
16
21
4
2
9
12
9
8
17
16
9
15
6
19
15
6
7
22
12
11
6
11
10
10
16
11
10
13
8
9
18
14
2
13
3
10
13
2
14
26
6
7
14
5
11
11
7
10
9
9
27
2
14
7
10
10
8
16
12
6
10
11
13
8
7
16
16
11
26
4
8
10
22
6
14
6
19
16
27
12
12
10
7
18
5
2
6
5
19
12
4
12
5
7
8
11
12
11
10
13
7
10
9
12
8
17
23
17
3
20
5
16
12
5
6
25
14
23
5
11
13
10
7
17
17
32
24
28
12
12
18
3
27
8
8
10
4
20
18
12
4
10
10
4
8
6
3
14
6
15
8
18
17
16
8
4
15
17
26
24
15
19
8
15
11
7
11
20
10
7
7
9
12
5
3
17
6
12
4
20
14
12
22
12
19
17
20
4
7
9
11
7
17
10
14
15
6
18
17
5
19
6
7
10
21
12
8
6
30
5
12
14
15
10
22
25
14
17
4
13
23
4
4
4
22
4
4
8
6
13
3
14
15
22
22
7
9
16
9
11
14
11
6
23
8
12
2
11
7
21
5
15
11
17
7
13
7
5
9
13
14
7
25
10
14
6
16
4
19
13
11
11
10
4
11
17
12
24
17
10
17
13
20
26
7
24
14
7
7
9
20
15
8
8
3
14
19
10
14
5
3
12
20
8
9
6
12
5
7
14
6
5
23
14
18
23
4
11
8
29
26
23
9
28
10
14
11
32
14
10
22
17
8
10
14
24
25
13
20
19
17
11
16
10
25
21
10
19
15
22
21
18
14
10
15
10
30
12
13
9
10
12
18
25
16
13
18
21
12
10
16
18
14
24
18
28
14
26
31
35
24
18
23
13
20
30
19
16
18
8
31
23
21
7
17
19
19
26
27
15
19
9
14
20
16
6
23
24
25
8
25
12
14
24
25
22
29
17
17
25
15
28
13
12
19
9
17
19
15
20
30
24
15
30
10
17
15
27
12
26
15
14
10
15
23
17
11
10
20
19
25
13
20
28
23
16
19
21
23
8
31
20
7
22
21
24
10
15
11
16
8
21
23
21
11
15
23
11
16
14
13
23
18
24
9
11
13
15
11
11
21
17
19
23
11
23
20
8
20
23
24
24
13
15
15
12
20
28
18
22
20
11
21
16
3
15
20
15
24
10
17
29
7
19
22
9
15
15
15
11
20
11
28
5
19
23
18
14
19
19
18
9
21
13
20
10
15
30
30
16
36
14
13
14
32
24
17
10
24
19
30
16
28
20
9
33
22
17
16
17
20
15
12
14
7
13
21
13
14
13
14
18
9
20
14
18
14
26
24
30
14
25
20
18
14
10
11
32
15
25
8
13
20
17
29
27
21
34
25
29
16
25
19
12
30
11
22
18
5
22
22
23
20
20
16
8
13
11
5
22
9
17
12
20
23
28
13
17
16
24
31
29
20
31
14
18
13
10
24
24
12
8
14
14
25
19
8
30
15
13
13
21
15
28
29
22
24
28
23
7
11
12
12
22
30
12
25
17
30
20
22
22
27
22
19
17
22
22
18
14
31
17
17
16
20
14
27
31
21
21
21
20
31
10
7
17
23
5
7
9
14
20
17
19
16
23
24
20
15
26
12
30
17
21
7
24
18
20
7
14
14
22
6
26
20
19
9
23
21
12
24
15
16
25
36
12
18
23
21
8
20
20
16
18
24
25
20
20
14
28
24
20
21
16
23
30
16
27
17
8
16
23
21
26
14
22
10
15
22
14
20
25
19
24
35
21
19
9
27
32
15
17
12
19
24
20
21
30
9
22
18
32
32
31
13
34
23
23
21
35
28
14
23
35
11
27
21
37
28
17
32
26
20
27
23
20
31
28
32
22
20
29
35
23
22
20
19
12
33
23
25
19
17
22
27
27
18
14
20
32
14
13
36
19
21
35
19
34
18
32
33
37
27
22
25
25
32
35
27
21
24
21
32
30
29
17
25
24
20
27
28
35
22
19
22
22
18
8
28
30
27
16
27
24
25
31
32
24
30
27
23
28
16
34
17
15
23
29
19
24
21
32
34
32
29
32
13
21
16
30
30
32
17
17
34
20
25
21
22
15
28
20
33
23
21
30
25
20
24
24
36
9
33
22
27
24
29
29
11
19
25
28
13
30
25
29
13
16
24
20
28
16
15
29
24
27
19
17
19
17
17
24
24
28
21
25
12
40
25
26
21
24
28
26
29
22
22
16
27
29
27
27
21
14
28
20
9
18
27
23
27
15
26
32
25
20
29
10
23
19
18
15
33
23
34
12
35
31
25
15
20
21
20
19
31
15
22
14
27
31
34
23
39
17
22
17
34
30
25
22
27
28
37
26
29
24
13
34
26
18
27
18
24
38
14
18
9
14
31
18
15
14
16
21
33
22
28
35
19
27
25
34
28
31
27
21
25
12
22
33
17
29
39
22
25
22
31
32
26
39
30
30
17
26
37
14
32
14
29
36
18
24
28
24
26
28
19
11
29
14
8
23
14
19
17
26
31
30
18
19
18
26
36
30
27
33
27
23
15
23
25
28
21
13
15
27
26
28
14
33
21
17
29
24
21
32
34
23
35
33
24
27
36
15
23
26
32
23
35
18
32
21
34
32
33
24
25
20
25
33
20
21
33
18
18
19
26
19
31
39
22
24
24
21
32
16
21
30
25
17
21
22
31
31
19
22
26
32
29
26
21
32
25
33
19
28
16
25
23
23
12
17
16
30
11
27
29
26
13
27
23
13
25
24
21
28
38
16
32
27
22
14
26
25
18
32
28
27
35
27
16
31
37
21
31
20
27
31
20
33
23
11
21
28
26
28
17
29
15
17
25
22
26
26
20
28
40
24
23
11
35
36
16
18
14
20
31
31
24
34
23
28
21
35
34
32
16
40
31
30
36
38
36
25
37
36
15
32
22
38
30
31
36
31
23
32
26
33
32
39
34
24
22
33
38
31
32
23
25
37
34
32
27
24
19
38
32
31
29
29
21
34
16
17
40
31
30
38
27
36
30
34
35
40
29
32
38
26
33
36
34
22
30
26
34
34
30
23
30
33
24
28
29
36
24
29
34
35
29
9
31
37
30
29
33
28
28
38
39
32
32
29
35
34
17
35
32
17
26
31
20
28
26
37
36
34
32
34
28
28
27
31
40
36
30
28
38
28
28
41
38
30
38
22
37
34
28
33
31
28
25
26
37
24
38
25
36
26
33
35
31
21
36
38
21
39
36
38
19
23
25
22
32
23
18
35
30
35
21
24
34
26
28
37
27
29
29
30
29
41
32
31
28
27
37
34
33
33
23
20
33
31
30
36
29
33
33
30
21
22
40
27
31
17
28
39
31
28
32
15
27
25
34
30
38
37
38
18
40
37
27
17
36
31
38
34
39
21
26
25
37
38
36
28
41
27
25
27
35
38
35
23
33
30
38
33
37
29
14
37
29
34
32
22
25
41
25
20
24
25
32
27
18
30
20
33
40
28
41
37
25
28
27
36
33
34
29
23
30
29
24
36
18
36
40
34
34
26
32
33
35
40
33
35
27
30
39
20
33
22
34
38
36
26
40
33
32
35
34
26
36
17
14
28
22
23
31
32
36
33
19
26
26
32
37
36
35
37
29
26
22
26
32
33
27
37
37
31
32
37
27
36
29
28
35
29
37
33
38
25
40
36
25
36
39
27
30
36
34
33
36
19
33
32
37
34
34
29
27
22
30
38
22
28
35
35
26
22
30
32
34
40
33
34
26
25
35
29
27
34
27
20
33
25
40
34
23
24
28
33
32
30
29
36
27
39
22
31
22
26
25
30
13
29
27
34
26
37
31
27
14
32
31
23
38
32
26
40
39
24
41
31
23
19
37
30
23
35
39
34
39
31
24
32
38
33
32
25
34
39
22
40
28
22
28
35
28
31
21
31
18
18
36
23
40
27
25
36
41
26
27
23
38
37
25
30
24
26
32
35
41
37
26
30
28
36
41
41
22
41
40
36
37
40
41
32
41
41
39
40
37
41
34
40
41
36
39
35
31
34
34
40
37
30
41
38
40
40
34
38
42
40
41
39
41
36
26
42
42
39
30
30
41
35
32
34
41
41
31
42
42
42
42
39
41
42
40
34
39
30
37
42
35
41
40
42
37
38
42
30
35
36
33
33
38
39
42
35
37
36
36
30
42
41
36
32
38
41
37
40
41
39
41
34
39
37
35
39
41
38
42
34
42
42
34
39
38
38
39
41
34
34
33
35
42
41
32
32
42
38
39
42
41
31
42
23
41
40
34
34
34
37
32
34
40
41
40
39
37
30
37
41
41
40
40
39
34
40
42
42
28
37
39
28
34
41
39
37
31
38
31
29
37
30
39
42
42
38
39
33
37
42
34
36
38
32
39
42
38
34
30
38
37
42
32
37
38
35
39
32
24
37
42
34
37
31
40
42
33
42
42
22
36
33
39
35
41
40
41
42
41
38
31
22
37
38
40
36
42
30
27
41
42
40
38
33
42
40
37
36
38
42
38
32
37
34
39
36
40
32
37
39
38
42
40
39
29
42
40
23
29
42
35
41
36
36
36
41
42
36
42
39
41
29
32
37
34
37
35
27
35
37
28
41
31
42
41
38
35
35
37
37
40
42
40
38
29
38
41
31
38
40
36
42
40
31
42
41
35
38
37
29
38
32
32
39
42
24
42
37
38
42
41
39
27
38
39
42
36
38
41
39
25
35
34
34
40
39
42
41
36
42
40
42
39
41
41
35
38
42
41
35
42
41
28
38
40
37
34
37
36
38
42
26
40
35
38
40
39
36
33
39
37
39
26
33
37
40
31
42
34
41
38
41
37
41
31
30
36
38
30
36
30
31
36
42
42
36
32
25
34
35
33
41
36
37
31
41
31
40
40
36
31
31
26
40
28
36
39
39
32
32
42
36
39
25
40
34
32
42
40
25
42
41
34
26
40
31
33
39
42
36
42
37
38
35
39
41
36
36
40
42
37
42
37
24
37
38
37
37
26
32
29
19
41
32
42
33
29
40
42
39
41
35
40
39
40
31
35
27
39
40
42
42
33
33
42
38
5
18
5
16
22
38
12
14
37
3
40
19
37
37
18
35
14
7
8
32
9
18
9
3
9
37
25
16
40
9
23
24
5
30
16
33
3
34
34
2
3
21
6
16
5
12
38
10
11
14
17
27
4
1
16
39
28
25
4
38
25
24
5
8
9
41
16
28
14
23
20
39
31
41
31
27
28
19
3
41
2
6
18
18
5
40
9
13
14
41
40
34
32
13
35
5
33
10
5
17
33
32
29
13
3
24
8
20
4
2
40
41
26
36
30
11
11
12
5
33
4
6
35
24
10
18
40
21
1
32
10
30
16
20
9
9
36
28
21
11
27
13
4
32
3
22
40
23
22
42
29
26
41
2
14
3
28
23
10
21
40
21
22
34
5
38
10
36
12
1
41
40
40
11
30
7
7
14
25
1
7
17
24
28
5
7
7
3
4
9
11
23
9
23
17
41
31
32
23
13
41
8
38
32
13
20
41
24
25
24
42
15
14
28
8
13
9
23
7
24
4
18
36
12
33
15
3
28
11
35
24
30
42
24
4
3
42
8
35
18
32
7
10
34
21
20
19
8
37
35
30
5
41
5
10
16
19
38
4
10
25
32
29
33
7
21
23
12
12
7
5
39
1
26
19
17
12
12
30
15
29
33
9
11
42
29
29
24
20
23
8
14
25
10
7
17
4
25
20
41
25
36
39
13
27
23
28
13
12
34
40
3
24
2
20
12
4
21
41
23
34
17
34
22
30
31
12
29
3
32
33
28
41
18
34
36
21
6
35
2
40
7
20
17
27
5
5
2
21
28
18
32
26
13
13
17
33
30
25
19
30
30
36
14
9
28
19
26
33
4
2
6
33
17
25
33
33
21
40
9
17
31
13
40
20
39
29
39
41
2
7
12
21
27
19
19
25
9
30
34
23
8
26
9
34
3
4
22
18
18
9
13
27
41
39
33
2
33
17
7
41
41
9
19
35
22
26
33
11
37
23
6
20
34
37
16
22
4
21
37
8
15
8
29
24
1
39
21
1
34
4
27
25
2
10
10
26
35
31
26
24
16
32
15
32
23
18
4
29
12
12
3
23
14
22
26
27
24
30
41
14
31

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time3 seconds
R Server'Herman Ole Andreas Wold' @ wold.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 & 'Herman Ole Andreas Wold' @ wold.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=285050&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]'Herman Ole Andreas Wold' @ wold.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=285050&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=285050&T=0

As an alternative you can also use a QR Code:  
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 time3 seconds
R Server'Herman Ole Andreas Wold' @ wold.wessa.net






Frequency Table (Histogram)
BinsMidpointAbs. FrequencyRel. FrequencyCumul. Rel. Freq.Density
[1,2[1.5870.0257850.0257850.025785
[2,3[2.5920.0272670.0530530.027267
[3,4[3.5750.0222290.0752820.022229
[4,5[4.5900.0266750.1019560.026675
[5,6[5.5810.0240070.1259630.024007
[6,7[6.5710.0210430.1470070.021043
[7,8[7.5910.0269710.1739770.026971
[8,9[8.5730.0216360.1956140.021636
[9,10[9.5870.0257850.2213990.025785
[10,11[10.5870.0257850.2471840.025785
[11,12[11.5820.0243030.2714880.024303
[12,13[12.5780.0231180.2946060.023118
[13,14[13.5710.0210430.3156490.021043
[14,15[14.5980.0290460.3446950.029046
[15,16[15.5730.0216360.3663310.021636
[16,17[16.5680.0201540.3864850.020154
[17,18[17.5930.0275640.4140490.027564
[18,19[18.5740.0219320.4359810.021932
[19,20[19.5750.0222290.458210.022229
[20,21[20.5860.0254890.4836990.025489
[21,22[21.5800.0237110.507410.023711
[22,23[22.5870.0257850.5331950.025785
[23,24[23.5870.0257850.558980.025785
[24,25[24.5850.0251930.5841730.025193
[25,26[25.5840.0248960.6090690.024896
[26,27[26.5730.0216360.6307050.021636
[27,28[27.5800.0237110.6544160.023711
[28,29[28.5810.0240070.6784230.024007
[29,30[29.5670.0198580.6982810.019858
[30,31[30.5830.02460.7228810.0246
[31,32[31.5770.0228220.7457020.022822
[32,33[32.5940.027860.7735630.02786
[33,34[33.5750.0222290.7957910.022229
[34,35[34.5890.0263780.822170.026378
[35,36[35.5670.0198580.8420270.019858
[36,37[36.5780.0231180.8651450.023118
[37,38[37.5800.0237110.8888560.023711
[38,39[38.5720.021340.9101960.02134
[39,40[39.5670.0198580.9300530.019858
[40,41[40.5780.0231180.9531710.023118
[41,42]41.51580.04682910.046829

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[1,2[ & 1.5 & 87 & 0.025785 & 0.025785 & 0.025785 \tabularnewline
[2,3[ & 2.5 & 92 & 0.027267 & 0.053053 & 0.027267 \tabularnewline
[3,4[ & 3.5 & 75 & 0.022229 & 0.075282 & 0.022229 \tabularnewline
[4,5[ & 4.5 & 90 & 0.026675 & 0.101956 & 0.026675 \tabularnewline
[5,6[ & 5.5 & 81 & 0.024007 & 0.125963 & 0.024007 \tabularnewline
[6,7[ & 6.5 & 71 & 0.021043 & 0.147007 & 0.021043 \tabularnewline
[7,8[ & 7.5 & 91 & 0.026971 & 0.173977 & 0.026971 \tabularnewline
[8,9[ & 8.5 & 73 & 0.021636 & 0.195614 & 0.021636 \tabularnewline
[9,10[ & 9.5 & 87 & 0.025785 & 0.221399 & 0.025785 \tabularnewline
[10,11[ & 10.5 & 87 & 0.025785 & 0.247184 & 0.025785 \tabularnewline
[11,12[ & 11.5 & 82 & 0.024303 & 0.271488 & 0.024303 \tabularnewline
[12,13[ & 12.5 & 78 & 0.023118 & 0.294606 & 0.023118 \tabularnewline
[13,14[ & 13.5 & 71 & 0.021043 & 0.315649 & 0.021043 \tabularnewline
[14,15[ & 14.5 & 98 & 0.029046 & 0.344695 & 0.029046 \tabularnewline
[15,16[ & 15.5 & 73 & 0.021636 & 0.366331 & 0.021636 \tabularnewline
[16,17[ & 16.5 & 68 & 0.020154 & 0.386485 & 0.020154 \tabularnewline
[17,18[ & 17.5 & 93 & 0.027564 & 0.414049 & 0.027564 \tabularnewline
[18,19[ & 18.5 & 74 & 0.021932 & 0.435981 & 0.021932 \tabularnewline
[19,20[ & 19.5 & 75 & 0.022229 & 0.45821 & 0.022229 \tabularnewline
[20,21[ & 20.5 & 86 & 0.025489 & 0.483699 & 0.025489 \tabularnewline
[21,22[ & 21.5 & 80 & 0.023711 & 0.50741 & 0.023711 \tabularnewline
[22,23[ & 22.5 & 87 & 0.025785 & 0.533195 & 0.025785 \tabularnewline
[23,24[ & 23.5 & 87 & 0.025785 & 0.55898 & 0.025785 \tabularnewline
[24,25[ & 24.5 & 85 & 0.025193 & 0.584173 & 0.025193 \tabularnewline
[25,26[ & 25.5 & 84 & 0.024896 & 0.609069 & 0.024896 \tabularnewline
[26,27[ & 26.5 & 73 & 0.021636 & 0.630705 & 0.021636 \tabularnewline
[27,28[ & 27.5 & 80 & 0.023711 & 0.654416 & 0.023711 \tabularnewline
[28,29[ & 28.5 & 81 & 0.024007 & 0.678423 & 0.024007 \tabularnewline
[29,30[ & 29.5 & 67 & 0.019858 & 0.698281 & 0.019858 \tabularnewline
[30,31[ & 30.5 & 83 & 0.0246 & 0.722881 & 0.0246 \tabularnewline
[31,32[ & 31.5 & 77 & 0.022822 & 0.745702 & 0.022822 \tabularnewline
[32,33[ & 32.5 & 94 & 0.02786 & 0.773563 & 0.02786 \tabularnewline
[33,34[ & 33.5 & 75 & 0.022229 & 0.795791 & 0.022229 \tabularnewline
[34,35[ & 34.5 & 89 & 0.026378 & 0.82217 & 0.026378 \tabularnewline
[35,36[ & 35.5 & 67 & 0.019858 & 0.842027 & 0.019858 \tabularnewline
[36,37[ & 36.5 & 78 & 0.023118 & 0.865145 & 0.023118 \tabularnewline
[37,38[ & 37.5 & 80 & 0.023711 & 0.888856 & 0.023711 \tabularnewline
[38,39[ & 38.5 & 72 & 0.02134 & 0.910196 & 0.02134 \tabularnewline
[39,40[ & 39.5 & 67 & 0.019858 & 0.930053 & 0.019858 \tabularnewline
[40,41[ & 40.5 & 78 & 0.023118 & 0.953171 & 0.023118 \tabularnewline
[41,42] & 41.5 & 158 & 0.046829 & 1 & 0.046829 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=285050&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][1,2[[/C][C]1.5[/C][C]87[/C][C]0.025785[/C][C]0.025785[/C][C]0.025785[/C][/ROW]
[ROW][C][2,3[[/C][C]2.5[/C][C]92[/C][C]0.027267[/C][C]0.053053[/C][C]0.027267[/C][/ROW]
[ROW][C][3,4[[/C][C]3.5[/C][C]75[/C][C]0.022229[/C][C]0.075282[/C][C]0.022229[/C][/ROW]
[ROW][C][4,5[[/C][C]4.5[/C][C]90[/C][C]0.026675[/C][C]0.101956[/C][C]0.026675[/C][/ROW]
[ROW][C][5,6[[/C][C]5.5[/C][C]81[/C][C]0.024007[/C][C]0.125963[/C][C]0.024007[/C][/ROW]
[ROW][C][6,7[[/C][C]6.5[/C][C]71[/C][C]0.021043[/C][C]0.147007[/C][C]0.021043[/C][/ROW]
[ROW][C][7,8[[/C][C]7.5[/C][C]91[/C][C]0.026971[/C][C]0.173977[/C][C]0.026971[/C][/ROW]
[ROW][C][8,9[[/C][C]8.5[/C][C]73[/C][C]0.021636[/C][C]0.195614[/C][C]0.021636[/C][/ROW]
[ROW][C][9,10[[/C][C]9.5[/C][C]87[/C][C]0.025785[/C][C]0.221399[/C][C]0.025785[/C][/ROW]
[ROW][C][10,11[[/C][C]10.5[/C][C]87[/C][C]0.025785[/C][C]0.247184[/C][C]0.025785[/C][/ROW]
[ROW][C][11,12[[/C][C]11.5[/C][C]82[/C][C]0.024303[/C][C]0.271488[/C][C]0.024303[/C][/ROW]
[ROW][C][12,13[[/C][C]12.5[/C][C]78[/C][C]0.023118[/C][C]0.294606[/C][C]0.023118[/C][/ROW]
[ROW][C][13,14[[/C][C]13.5[/C][C]71[/C][C]0.021043[/C][C]0.315649[/C][C]0.021043[/C][/ROW]
[ROW][C][14,15[[/C][C]14.5[/C][C]98[/C][C]0.029046[/C][C]0.344695[/C][C]0.029046[/C][/ROW]
[ROW][C][15,16[[/C][C]15.5[/C][C]73[/C][C]0.021636[/C][C]0.366331[/C][C]0.021636[/C][/ROW]
[ROW][C][16,17[[/C][C]16.5[/C][C]68[/C][C]0.020154[/C][C]0.386485[/C][C]0.020154[/C][/ROW]
[ROW][C][17,18[[/C][C]17.5[/C][C]93[/C][C]0.027564[/C][C]0.414049[/C][C]0.027564[/C][/ROW]
[ROW][C][18,19[[/C][C]18.5[/C][C]74[/C][C]0.021932[/C][C]0.435981[/C][C]0.021932[/C][/ROW]
[ROW][C][19,20[[/C][C]19.5[/C][C]75[/C][C]0.022229[/C][C]0.45821[/C][C]0.022229[/C][/ROW]
[ROW][C][20,21[[/C][C]20.5[/C][C]86[/C][C]0.025489[/C][C]0.483699[/C][C]0.025489[/C][/ROW]
[ROW][C][21,22[[/C][C]21.5[/C][C]80[/C][C]0.023711[/C][C]0.50741[/C][C]0.023711[/C][/ROW]
[ROW][C][22,23[[/C][C]22.5[/C][C]87[/C][C]0.025785[/C][C]0.533195[/C][C]0.025785[/C][/ROW]
[ROW][C][23,24[[/C][C]23.5[/C][C]87[/C][C]0.025785[/C][C]0.55898[/C][C]0.025785[/C][/ROW]
[ROW][C][24,25[[/C][C]24.5[/C][C]85[/C][C]0.025193[/C][C]0.584173[/C][C]0.025193[/C][/ROW]
[ROW][C][25,26[[/C][C]25.5[/C][C]84[/C][C]0.024896[/C][C]0.609069[/C][C]0.024896[/C][/ROW]
[ROW][C][26,27[[/C][C]26.5[/C][C]73[/C][C]0.021636[/C][C]0.630705[/C][C]0.021636[/C][/ROW]
[ROW][C][27,28[[/C][C]27.5[/C][C]80[/C][C]0.023711[/C][C]0.654416[/C][C]0.023711[/C][/ROW]
[ROW][C][28,29[[/C][C]28.5[/C][C]81[/C][C]0.024007[/C][C]0.678423[/C][C]0.024007[/C][/ROW]
[ROW][C][29,30[[/C][C]29.5[/C][C]67[/C][C]0.019858[/C][C]0.698281[/C][C]0.019858[/C][/ROW]
[ROW][C][30,31[[/C][C]30.5[/C][C]83[/C][C]0.0246[/C][C]0.722881[/C][C]0.0246[/C][/ROW]
[ROW][C][31,32[[/C][C]31.5[/C][C]77[/C][C]0.022822[/C][C]0.745702[/C][C]0.022822[/C][/ROW]
[ROW][C][32,33[[/C][C]32.5[/C][C]94[/C][C]0.02786[/C][C]0.773563[/C][C]0.02786[/C][/ROW]
[ROW][C][33,34[[/C][C]33.5[/C][C]75[/C][C]0.022229[/C][C]0.795791[/C][C]0.022229[/C][/ROW]
[ROW][C][34,35[[/C][C]34.5[/C][C]89[/C][C]0.026378[/C][C]0.82217[/C][C]0.026378[/C][/ROW]
[ROW][C][35,36[[/C][C]35.5[/C][C]67[/C][C]0.019858[/C][C]0.842027[/C][C]0.019858[/C][/ROW]
[ROW][C][36,37[[/C][C]36.5[/C][C]78[/C][C]0.023118[/C][C]0.865145[/C][C]0.023118[/C][/ROW]
[ROW][C][37,38[[/C][C]37.5[/C][C]80[/C][C]0.023711[/C][C]0.888856[/C][C]0.023711[/C][/ROW]
[ROW][C][38,39[[/C][C]38.5[/C][C]72[/C][C]0.02134[/C][C]0.910196[/C][C]0.02134[/C][/ROW]
[ROW][C][39,40[[/C][C]39.5[/C][C]67[/C][C]0.019858[/C][C]0.930053[/C][C]0.019858[/C][/ROW]
[ROW][C][40,41[[/C][C]40.5[/C][C]78[/C][C]0.023118[/C][C]0.953171[/C][C]0.023118[/C][/ROW]
[ROW][C][41,42][/C][C]41.5[/C][C]158[/C][C]0.046829[/C][C]1[/C][C]0.046829[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=285050&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=285050&T=1

As an alternative you can also use a QR Code:  
QR Code


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

Frequency Table (Histogram)
BinsMidpointAbs. FrequencyRel. FrequencyCumul. Rel. Freq.Density
[1,2[1.5870.0257850.0257850.025785
[2,3[2.5920.0272670.0530530.027267
[3,4[3.5750.0222290.0752820.022229
[4,5[4.5900.0266750.1019560.026675
[5,6[5.5810.0240070.1259630.024007
[6,7[6.5710.0210430.1470070.021043
[7,8[7.5910.0269710.1739770.026971
[8,9[8.5730.0216360.1956140.021636
[9,10[9.5870.0257850.2213990.025785
[10,11[10.5870.0257850.2471840.025785
[11,12[11.5820.0243030.2714880.024303
[12,13[12.5780.0231180.2946060.023118
[13,14[13.5710.0210430.3156490.021043
[14,15[14.5980.0290460.3446950.029046
[15,16[15.5730.0216360.3663310.021636
[16,17[16.5680.0201540.3864850.020154
[17,18[17.5930.0275640.4140490.027564
[18,19[18.5740.0219320.4359810.021932
[19,20[19.5750.0222290.458210.022229
[20,21[20.5860.0254890.4836990.025489
[21,22[21.5800.0237110.507410.023711
[22,23[22.5870.0257850.5331950.025785
[23,24[23.5870.0257850.558980.025785
[24,25[24.5850.0251930.5841730.025193
[25,26[25.5840.0248960.6090690.024896
[26,27[26.5730.0216360.6307050.021636
[27,28[27.5800.0237110.6544160.023711
[28,29[28.5810.0240070.6784230.024007
[29,30[29.5670.0198580.6982810.019858
[30,31[30.5830.02460.7228810.0246
[31,32[31.5770.0228220.7457020.022822
[32,33[32.5940.027860.7735630.02786
[33,34[33.5750.0222290.7957910.022229
[34,35[34.5890.0263780.822170.026378
[35,36[35.5670.0198580.8420270.019858
[36,37[36.5780.0231180.8651450.023118
[37,38[37.5800.0237110.8888560.023711
[38,39[38.5720.021340.9101960.02134
[39,40[39.5670.0198580.9300530.019858
[40,41[40.5780.0231180.9531710.023118
[41,42]41.51580.04682910.046829


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = 42 ; par2 = grey ; par3 = FALSE ; par4 = Unknown ;
Parameters (R input):
par1 = 42 ; 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 {
barplot(mytab <- sort(table(x),T),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')
}