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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 10:25:55 +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/t14492253207ztdu394roirovx.htm/, Retrieved Thu, 31 Oct 2024 22:47:57 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=285054, Retrieved Thu, 31 Oct 2024 22:47:57 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact177

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] [162b8178c9d5754ca799efb8bf9ef5b4]
- R  D    [Histogram] [verdeling 1991-2010] [2015-12-04 10:25:55] [19257762123ac9dca9ca2540ec1ddee7] [Current]
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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
4
3
19
10
7
1
5
2
3
3
20
16
5
6
2
16
15
23
5
11
10
10
14
2
7
1
16
5
9
1
7
5
17
5
7
12
7
1
13
7
22
9
5
7
11
4
17
2
5
3
7
1
14
1
4
8
6
2
2
5
3
5
13
1
7
1
3
4
1
10
9
8
9
15
1
13
17
8
4
8
3
12
5
3
15
25
5
16
4
3
1
3
5
2
9
9
5
6
3
7
7
9
4
3
1
4
9
1
6
10
12
19
10
2
7
7
3
12
14
2
2
1
9
14
1
7
9
11
2
7
9
16
3
8
10
1
9
3
12
3
8
12
18
2
7
5
13
1
7
16
5
3
11
4
6
5
4
4
21
7
1
9
10
9
1
5
3
1
6
5
3
3
2
8
9
1
1
5
7
5
6
20
5
20
1
9
2
2
3
9
2
8
1
6
2
14
4
3
8
4
3
4
10
11
7
1
4
8
8
3
12
5
12
18
6
10
9
18
6
2
4
3
3
1
3
2
6
3
2
3
2
10
6
1
4
4
1
6
6
2
14
1
10
12
1
2
20
6
3
1
5
1
3
9
2
10
4
6
13
16
8
1
1
9
10
5
7
11
13
2
6
3
2
7
13
14
6
3
3
2
5
5
4
5
3
7
10
6
7
4
2
24
1
16
6
18
4
2
16
16
1
12
13
1
12
5
7
8
4
4
12
9
1
9
9
2
8
15
4
2
21
11
7
4
3
7
4
2
6
4
7
3
13
3
12
3
10
3
11
4
5
10
3
4
5
3
1
3
3
9
1
2
6
7
13
2
1
2
4
26
4
2
4
5
9
1
10
5
5
1
4
10
21
2
12
2
14
13
3
1
7
10
1
1
7
2
1
4
5
4
2
1
15
8
4
11
1
1
9
10
14
13
1
1
3
12
10
3
10
6
11
7
6
4
4
4
4
11
19
1
2
5
2
3
2
1
5
22
3
9
1
2
2
2
11
6
16
7
2
6
1
6
3
1
4
7
1
7
5
3
1
1
4
13
2
16
2
2
2
10
2
7
1
7
5
2
2
1
3
5
3
5
5
2
5
4
2
15
11
1
7
7
6
12
3
4
6
2
4
11
8
12
7
19
4
5
2
6
9
3
18
1
6
5
3
3
1
3
8
2
19
5
4
8
7
1
5
24
20
20
9
9
4
13
6
6
1
2
8
2
15
2
3
6
5
5
2
13
4
1
3
2
8
1
10
4
3
14
2
1
6
3
1
7
7
8
3
1
2
4
1
1
6
1
16
3
8
1
1
1
3
1
2
6
6
7
1
3
4
9
2
2
4
1
6
2
1
3
3
10
3
5
1
8
19
4
7
1
1
2
1
3
4
4
10
8
6
2
6
10
3
8
8
1
1
1
2
3
1
1
2
6
2
1
15
9
10
25
1
18
8
2
6
7
3
8
7
1
5
1
10
8
4
2
10
2
7
5
10
4
7
4
16
3
3
6
6
7
1
6
16
9
2
1
3
6
4
14
12
20
8
5
24
5
1
1
11
4
2
1
8
10
3
4
2
8
5
4
4
1
18
6
19
15
3
9
13
2
4
5
1
4
7
1
5
2
3
6
8
3
3
8
3
5
1
4
3
1
6
2
11
8
5
7
8
3
1
1
6
17
2
2
4
8
18
4
5
12
1
6
2
10
1
1
5
2
7
10
15
7
3
10
10
3
3
2
13
15
10
7
16
6
4
4
2
11
2
2
14
16
10
3
1
9
20
10
4
2
2
4
1
2
5
2
8
4
3
17
3
4
6
2
10
1
7
1
3
1
11
3
3
9
2
1
2
10
3
5
1
7
2
5
3
13
3
7
2
2
7
2
14
5
2
12
6
7
5
7
20
3
10
5
7
2
5
19
11
7
3
3
7
9
9
2
4
8
5
5
1
6
7
1
14
9
5
4
17
8
1
1
9
3
7
11
6
21
12
13
7
14
2
7
5
2
3
12
7
4
5
5
2
10
17
2
11
1
9
1
1
6
1
3
1
16
7
5
3
13
5
12
1
1
9
1
3
11
7
12
4
9
4
2
3
1
1
15
3
12
1
2
2
1
2
3
3
5
11
20
14
12
3
7
9
16
7
9
4
10
7
5
2
5
5
5
3
5
4
2
1
3
15
6
3
5
2
21
1
7
2
2
7
19
15
20
10
14
9
9
21
2
2
7
14
1
6
11
2
1
1
7
2
4
9
3
1
6
8
1
5
9
1
5
17
8
1
3
1
18
10
1
13
3
7
1
6
16
2
2
9
1
20
2
1
12
10
4
2
7
2
3
10
5
1
2
5
2
9
3
2
2
4
1
7
8
12
2
3
9
9
3
17
1
4
6
17
6
4
7
5
9
2
6
3
4
11
12
10
9
3
2
4
9
5
2
2
2
6
13
5
4
6
22
16
3
5
6
3
16
5
6
10
4
12
5
2
4
17
5
1
3
15
20
3
4
7
2
1
5
3
1
2
5
2
6
2
1
7
2
15
4
3
11
11
8
3
2
2
6
15
8
3
1
2
2
11
6
20
3
4
5
1
2
6
2
2
4
4
16
8
2
2
2
13
6
2
7
2
16
3
3
11
16
13
2
6
9
1
14
3
6
9
4
6
2
1
6
9
6
17
4
2
5
2
13
4
8
3
3
1
6
1
16
7
9
8
12
3
8
16
5
5
3
3
4
4
1
3
1
6
2
8
2
1
5
5
1
9
7
11
2
1
10
7
6
7
1
15
2
1
3
8
3
16
2
1
13
10
7
7
3
6
12
6
7
3
4
9
5
2
3
10
27
5
7
3
5
1
6
6
18
5
7
12
6
13
6
7
8
12
17
15
5
7
2
2
21
14
8
4
7
3
22
1
6
9
4
1
7
8
3
5
3
19
2
11
7
5
8
10
7
2
4
15
17
8
5
3
5
1
1
4
10
10
3
5
1
1
5
16
1
8
5
11
11
2
2
10
4
3
8
1
2
4
1
5
1
5
5
1
15
17
1
12
2
7
5
11
9
1
2
7
9
7
9
1
15
5
10
4
4
3
16
21
1
3
2
10
2
1
8
7
25
1
2
15
19
11
16
2
3
3
9
22
1
4
5
1
7
7
11
19
1
2
4
3
2
1
2
1
4
3
2
4
13
3
5
1
1
13
9
22
1
9
1
1
1
5
1
5
2
9
3
5
10
1
3
11
4
16
4
7
8
6
3
1
1
8
3
10
9
1
2
10
14
14
3
3
5
4
9
4
9
3
14
12
8
3
10
3
8
3
3
9
1
14
2
3
3
4
16
4
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
7
13
23
15
15
20
8
8
14
6
26
18
12
12
5
32
16
24
14
17
18
14
16
7
18
7
17
9
11
7
11
12
18
9
10
19
14
4
22
18
24
11
8
14
23
11
23
3
16
12
11
7
19
5
10
9
14
4
3
13
7
22
17
12
17
2
7
14
8
14
12
10
11
24
21
17
23
9
7
17
6
13
9
11
20
28
9
28
11
16
9
16
18
4
14
16
6
21
10
8
18
13
6
4
4
12
14
8
7
14
15
22
23
6
15
15
9
15
15
14
11
5
14
15
2
17
10
12
20
10
11
17
12
10
12
6
12
4
15
11
18
13
29
9
9
10
14
21
9
22
24
6
15
16
10
12
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11
21
12
29
16
10
42
21
5
26
18
21
37
39
1
27
29
7
15
30
34
9
24
26
24
41
23
26
38
14
27
1
22
12
12
9
26
23
24
18
38
39
8
33
6
5
11
30
41
32
18
19
22
6
32
36
8
27
2
26
8
38
26
3
17
39
14
10
42
31
33
4
37
20
1
9
32
14
28
30
33
12
20
9
33
9
20
23
32
21
42
3
11
12
15
12
37
19
7
32
34
7
42
28
32
27
9
23

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time36 seconds
R Server'Sir Ronald Aylmer Fisher' @ fisher.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 & 36 seconds \tabularnewline
R Server & 'Sir Ronald Aylmer Fisher' @ fisher.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=285054&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]36 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Sir Ronald Aylmer Fisher' @ fisher.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=285054&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=285054&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 time36 seconds
R Server'Sir Ronald Aylmer Fisher' @ fisher.wessa.net






Frequency Table (Histogram)
BinsMidpointAbs. FrequencyRel. FrequencyCumul. Rel. Freq.Density
[1,2[1.53280.0241160.0241160.024116
[2,3[2.53310.0243360.0484520.024336
[3,4[3.53250.0238950.0723480.023895
[4,5[4.53290.0241890.0965370.024189
[5,6[5.53560.0261750.1227120.026175
[6,7[6.53210.0236010.1463130.023601
[7,8[7.53490.025660.1719730.02566
[8,9[8.52990.0219840.1939560.021984
[9,10[9.53430.0252190.2191750.025219
[10,11[10.53270.0240420.2432170.024042
[11,12[11.53090.0227190.2659360.022719
[12,13[12.53570.0262480.2921840.026248
[13,14[13.53220.0236750.3158590.023675
[14,15[14.53300.0242630.3401220.024263
[15,16[15.52800.0205870.3607090.020587
[16,17[16.53470.0255130.3862220.025513
[17,18[17.53100.0227920.4090140.022792
[18,19[18.52970.0218370.4308510.021837
[19,20[19.53350.0246310.4554810.024631
[20,21[20.53030.0222780.4777590.022278
[21,22[21.53190.0234540.5012130.023454
[22,23[22.53620.0266160.5278290.026616
[23,24[23.53470.0255130.5533420.025513
[24,25[24.53420.0251450.5784870.025145
[25,26[25.53360.0247040.6031910.024704
[26,27[26.53180.0233810.6265720.023381
[27,28[27.53150.023160.6497320.02316
[28,29[28.53200.0235280.6732590.023528
[29,30[29.53300.0242630.6975220.024263
[30,31[30.53140.0230870.7206090.023087
[31,32[31.53010.0221310.742740.022131
[32,33[32.53050.0224250.7651640.022425
[33,34[33.53230.0237480.7889130.023748
[34,35[34.53320.024410.8133230.02441
[35,36[35.53020.0222040.8355270.022204
[36,37[36.53210.0236010.8591280.023601
[37,38[37.53200.0235280.8826560.023528
[38,39[38.53380.0248510.9075070.024851
[39,40[39.52950.021690.9291960.02169
[40,41[40.53100.0227920.9519890.022792
[41,42]41.56530.04801110.048011

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[1,2[ & 1.5 & 328 & 0.024116 & 0.024116 & 0.024116 \tabularnewline
[2,3[ & 2.5 & 331 & 0.024336 & 0.048452 & 0.024336 \tabularnewline
[3,4[ & 3.5 & 325 & 0.023895 & 0.072348 & 0.023895 \tabularnewline
[4,5[ & 4.5 & 329 & 0.024189 & 0.096537 & 0.024189 \tabularnewline
[5,6[ & 5.5 & 356 & 0.026175 & 0.122712 & 0.026175 \tabularnewline
[6,7[ & 6.5 & 321 & 0.023601 & 0.146313 & 0.023601 \tabularnewline
[7,8[ & 7.5 & 349 & 0.02566 & 0.171973 & 0.02566 \tabularnewline
[8,9[ & 8.5 & 299 & 0.021984 & 0.193956 & 0.021984 \tabularnewline
[9,10[ & 9.5 & 343 & 0.025219 & 0.219175 & 0.025219 \tabularnewline
[10,11[ & 10.5 & 327 & 0.024042 & 0.243217 & 0.024042 \tabularnewline
[11,12[ & 11.5 & 309 & 0.022719 & 0.265936 & 0.022719 \tabularnewline
[12,13[ & 12.5 & 357 & 0.026248 & 0.292184 & 0.026248 \tabularnewline
[13,14[ & 13.5 & 322 & 0.023675 & 0.315859 & 0.023675 \tabularnewline
[14,15[ & 14.5 & 330 & 0.024263 & 0.340122 & 0.024263 \tabularnewline
[15,16[ & 15.5 & 280 & 0.020587 & 0.360709 & 0.020587 \tabularnewline
[16,17[ & 16.5 & 347 & 0.025513 & 0.386222 & 0.025513 \tabularnewline
[17,18[ & 17.5 & 310 & 0.022792 & 0.409014 & 0.022792 \tabularnewline
[18,19[ & 18.5 & 297 & 0.021837 & 0.430851 & 0.021837 \tabularnewline
[19,20[ & 19.5 & 335 & 0.024631 & 0.455481 & 0.024631 \tabularnewline
[20,21[ & 20.5 & 303 & 0.022278 & 0.477759 & 0.022278 \tabularnewline
[21,22[ & 21.5 & 319 & 0.023454 & 0.501213 & 0.023454 \tabularnewline
[22,23[ & 22.5 & 362 & 0.026616 & 0.527829 & 0.026616 \tabularnewline
[23,24[ & 23.5 & 347 & 0.025513 & 0.553342 & 0.025513 \tabularnewline
[24,25[ & 24.5 & 342 & 0.025145 & 0.578487 & 0.025145 \tabularnewline
[25,26[ & 25.5 & 336 & 0.024704 & 0.603191 & 0.024704 \tabularnewline
[26,27[ & 26.5 & 318 & 0.023381 & 0.626572 & 0.023381 \tabularnewline
[27,28[ & 27.5 & 315 & 0.02316 & 0.649732 & 0.02316 \tabularnewline
[28,29[ & 28.5 & 320 & 0.023528 & 0.673259 & 0.023528 \tabularnewline
[29,30[ & 29.5 & 330 & 0.024263 & 0.697522 & 0.024263 \tabularnewline
[30,31[ & 30.5 & 314 & 0.023087 & 0.720609 & 0.023087 \tabularnewline
[31,32[ & 31.5 & 301 & 0.022131 & 0.74274 & 0.022131 \tabularnewline
[32,33[ & 32.5 & 305 & 0.022425 & 0.765164 & 0.022425 \tabularnewline
[33,34[ & 33.5 & 323 & 0.023748 & 0.788913 & 0.023748 \tabularnewline
[34,35[ & 34.5 & 332 & 0.02441 & 0.813323 & 0.02441 \tabularnewline
[35,36[ & 35.5 & 302 & 0.022204 & 0.835527 & 0.022204 \tabularnewline
[36,37[ & 36.5 & 321 & 0.023601 & 0.859128 & 0.023601 \tabularnewline
[37,38[ & 37.5 & 320 & 0.023528 & 0.882656 & 0.023528 \tabularnewline
[38,39[ & 38.5 & 338 & 0.024851 & 0.907507 & 0.024851 \tabularnewline
[39,40[ & 39.5 & 295 & 0.02169 & 0.929196 & 0.02169 \tabularnewline
[40,41[ & 40.5 & 310 & 0.022792 & 0.951989 & 0.022792 \tabularnewline
[41,42] & 41.5 & 653 & 0.048011 & 1 & 0.048011 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=285054&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]328[/C][C]0.024116[/C][C]0.024116[/C][C]0.024116[/C][/ROW]
[ROW][C][2,3[[/C][C]2.5[/C][C]331[/C][C]0.024336[/C][C]0.048452[/C][C]0.024336[/C][/ROW]
[ROW][C][3,4[[/C][C]3.5[/C][C]325[/C][C]0.023895[/C][C]0.072348[/C][C]0.023895[/C][/ROW]
[ROW][C][4,5[[/C][C]4.5[/C][C]329[/C][C]0.024189[/C][C]0.096537[/C][C]0.024189[/C][/ROW]
[ROW][C][5,6[[/C][C]5.5[/C][C]356[/C][C]0.026175[/C][C]0.122712[/C][C]0.026175[/C][/ROW]
[ROW][C][6,7[[/C][C]6.5[/C][C]321[/C][C]0.023601[/C][C]0.146313[/C][C]0.023601[/C][/ROW]
[ROW][C][7,8[[/C][C]7.5[/C][C]349[/C][C]0.02566[/C][C]0.171973[/C][C]0.02566[/C][/ROW]
[ROW][C][8,9[[/C][C]8.5[/C][C]299[/C][C]0.021984[/C][C]0.193956[/C][C]0.021984[/C][/ROW]
[ROW][C][9,10[[/C][C]9.5[/C][C]343[/C][C]0.025219[/C][C]0.219175[/C][C]0.025219[/C][/ROW]
[ROW][C][10,11[[/C][C]10.5[/C][C]327[/C][C]0.024042[/C][C]0.243217[/C][C]0.024042[/C][/ROW]
[ROW][C][11,12[[/C][C]11.5[/C][C]309[/C][C]0.022719[/C][C]0.265936[/C][C]0.022719[/C][/ROW]
[ROW][C][12,13[[/C][C]12.5[/C][C]357[/C][C]0.026248[/C][C]0.292184[/C][C]0.026248[/C][/ROW]
[ROW][C][13,14[[/C][C]13.5[/C][C]322[/C][C]0.023675[/C][C]0.315859[/C][C]0.023675[/C][/ROW]
[ROW][C][14,15[[/C][C]14.5[/C][C]330[/C][C]0.024263[/C][C]0.340122[/C][C]0.024263[/C][/ROW]
[ROW][C][15,16[[/C][C]15.5[/C][C]280[/C][C]0.020587[/C][C]0.360709[/C][C]0.020587[/C][/ROW]
[ROW][C][16,17[[/C][C]16.5[/C][C]347[/C][C]0.025513[/C][C]0.386222[/C][C]0.025513[/C][/ROW]
[ROW][C][17,18[[/C][C]17.5[/C][C]310[/C][C]0.022792[/C][C]0.409014[/C][C]0.022792[/C][/ROW]
[ROW][C][18,19[[/C][C]18.5[/C][C]297[/C][C]0.021837[/C][C]0.430851[/C][C]0.021837[/C][/ROW]
[ROW][C][19,20[[/C][C]19.5[/C][C]335[/C][C]0.024631[/C][C]0.455481[/C][C]0.024631[/C][/ROW]
[ROW][C][20,21[[/C][C]20.5[/C][C]303[/C][C]0.022278[/C][C]0.477759[/C][C]0.022278[/C][/ROW]
[ROW][C][21,22[[/C][C]21.5[/C][C]319[/C][C]0.023454[/C][C]0.501213[/C][C]0.023454[/C][/ROW]
[ROW][C][22,23[[/C][C]22.5[/C][C]362[/C][C]0.026616[/C][C]0.527829[/C][C]0.026616[/C][/ROW]
[ROW][C][23,24[[/C][C]23.5[/C][C]347[/C][C]0.025513[/C][C]0.553342[/C][C]0.025513[/C][/ROW]
[ROW][C][24,25[[/C][C]24.5[/C][C]342[/C][C]0.025145[/C][C]0.578487[/C][C]0.025145[/C][/ROW]
[ROW][C][25,26[[/C][C]25.5[/C][C]336[/C][C]0.024704[/C][C]0.603191[/C][C]0.024704[/C][/ROW]
[ROW][C][26,27[[/C][C]26.5[/C][C]318[/C][C]0.023381[/C][C]0.626572[/C][C]0.023381[/C][/ROW]
[ROW][C][27,28[[/C][C]27.5[/C][C]315[/C][C]0.02316[/C][C]0.649732[/C][C]0.02316[/C][/ROW]
[ROW][C][28,29[[/C][C]28.5[/C][C]320[/C][C]0.023528[/C][C]0.673259[/C][C]0.023528[/C][/ROW]
[ROW][C][29,30[[/C][C]29.5[/C][C]330[/C][C]0.024263[/C][C]0.697522[/C][C]0.024263[/C][/ROW]
[ROW][C][30,31[[/C][C]30.5[/C][C]314[/C][C]0.023087[/C][C]0.720609[/C][C]0.023087[/C][/ROW]
[ROW][C][31,32[[/C][C]31.5[/C][C]301[/C][C]0.022131[/C][C]0.74274[/C][C]0.022131[/C][/ROW]
[ROW][C][32,33[[/C][C]32.5[/C][C]305[/C][C]0.022425[/C][C]0.765164[/C][C]0.022425[/C][/ROW]
[ROW][C][33,34[[/C][C]33.5[/C][C]323[/C][C]0.023748[/C][C]0.788913[/C][C]0.023748[/C][/ROW]
[ROW][C][34,35[[/C][C]34.5[/C][C]332[/C][C]0.02441[/C][C]0.813323[/C][C]0.02441[/C][/ROW]
[ROW][C][35,36[[/C][C]35.5[/C][C]302[/C][C]0.022204[/C][C]0.835527[/C][C]0.022204[/C][/ROW]
[ROW][C][36,37[[/C][C]36.5[/C][C]321[/C][C]0.023601[/C][C]0.859128[/C][C]0.023601[/C][/ROW]
[ROW][C][37,38[[/C][C]37.5[/C][C]320[/C][C]0.023528[/C][C]0.882656[/C][C]0.023528[/C][/ROW]
[ROW][C][38,39[[/C][C]38.5[/C][C]338[/C][C]0.024851[/C][C]0.907507[/C][C]0.024851[/C][/ROW]
[ROW][C][39,40[[/C][C]39.5[/C][C]295[/C][C]0.02169[/C][C]0.929196[/C][C]0.02169[/C][/ROW]
[ROW][C][40,41[[/C][C]40.5[/C][C]310[/C][C]0.022792[/C][C]0.951989[/C][C]0.022792[/C][/ROW]
[ROW][C][41,42][/C][C]41.5[/C][C]653[/C][C]0.048011[/C][C]1[/C][C]0.048011[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=285054&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=285054&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[1.53280.0241160.0241160.024116
[2,3[2.53310.0243360.0484520.024336
[3,4[3.53250.0238950.0723480.023895
[4,5[4.53290.0241890.0965370.024189
[5,6[5.53560.0261750.1227120.026175
[6,7[6.53210.0236010.1463130.023601
[7,8[7.53490.025660.1719730.02566
[8,9[8.52990.0219840.1939560.021984
[9,10[9.53430.0252190.2191750.025219
[10,11[10.53270.0240420.2432170.024042
[11,12[11.53090.0227190.2659360.022719
[12,13[12.53570.0262480.2921840.026248
[13,14[13.53220.0236750.3158590.023675
[14,15[14.53300.0242630.3401220.024263
[15,16[15.52800.0205870.3607090.020587
[16,17[16.53470.0255130.3862220.025513
[17,18[17.53100.0227920.4090140.022792
[18,19[18.52970.0218370.4308510.021837
[19,20[19.53350.0246310.4554810.024631
[20,21[20.53030.0222780.4777590.022278
[21,22[21.53190.0234540.5012130.023454
[22,23[22.53620.0266160.5278290.026616
[23,24[23.53470.0255130.5533420.025513
[24,25[24.53420.0251450.5784870.025145
[25,26[25.53360.0247040.6031910.024704
[26,27[26.53180.0233810.6265720.023381
[27,28[27.53150.023160.6497320.02316
[28,29[28.53200.0235280.6732590.023528
[29,30[29.53300.0242630.6975220.024263
[30,31[30.53140.0230870.7206090.023087
[31,32[31.53010.0221310.742740.022131
[32,33[32.53050.0224250.7651640.022425
[33,34[33.53230.0237480.7889130.023748
[34,35[34.53320.024410.8133230.02441
[35,36[35.53020.0222040.8355270.022204
[36,37[36.53210.0236010.8591280.023601
[37,38[37.53200.0235280.8826560.023528
[38,39[38.53380.0248510.9075070.024851
[39,40[39.52950.021690.9291960.02169
[40,41[40.53100.0227920.9519890.022792
[41,42]41.56530.04801110.048011


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):
par4 <- 'Unknown'
par3 <- 'TRUE'
par2 <- 'grey'
par1 <- '42'
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')
}