## Free Statistics

of Irreproducible Research!

Author's title
Author*Unverified author*
R Software Modulerwasp_rngnorm.wasp
Title produced by softwareRandom Number Generator - Normal Distribution
Date of computationFri, 10 Apr 2020 03:13:44 +0200
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2020/Apr/10/t1586481288f3e2wyamf5kq2as.htm/, Retrieved Fri, 07 May 2021 16:51:18 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=319126, Retrieved Fri, 07 May 2021 16:51:18 +0000
QR Codes:

Original text written by user:nice
IsPrivate?No (this computation is public)
User-defined keywords正态分布
Estimated Impact44
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Random Number Generator - Normal Distribution] [学习成绩] [2020-04-10 01:13:44] [d41d8cd98f00b204e9800998ecf8427e] [Current]
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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 1 seconds R Server Big Analytics Cloud Computing Center

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input view raw input (R code)  \tabularnewline
Raw Outputview raw output of R engine  \tabularnewline
Computing time1 seconds \tabularnewline
R ServerBig Analytics Cloud Computing Center \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=319126&T=0

[TABLE]
[ROW]
 Summary of computational transaction[/C][/ROW] [ROW] Raw Input[/C] view raw input (R code) [/C][/ROW] [ROW] Raw Output[/C] view raw output of R engine [/C][/ROW] [ROW] Computing time[/C] 1 seconds[/C][/ROW] [ROW] R Server[/C] Big Analytics Cloud Computing Center[/C][/ROW] [/TABLE] Source: https://freestatistics.org/blog/index.php?pk=319126&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=319126&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 Big Analytics Cloud Computing Center

 Index Value 1 71.6388141062939 2 67.6727991333323 3 83.5634055028209 4 87.388663186828 5 75.6702239610994 6 92.2581737164267 7 77.3681419972655 8 78.5354973046535 9 85.4364142995399 10 73.8267034897686 11 82.1475849348253 12 54.8784018201379 13 61.8385687583972 14 66.7710867496415 15 83.9576122766923 16 68.5227893916009 17 79.933411096094 18 84.7390426424851 19 68.045717577169 20 61.2355384994681 21 73.9950298615025 22 86.3873561848457 23 69.3642449522065 24 62.3695532536303 25 80.0998750491556 26 72.0896814906252 27 68.7633871822989 28 79.8502155882585 29 74.0990060830136 30 83.6995322656148 31 63.965620202012 32 83.3768681037898 33 70.4379281656133 34 69.4576875137893 35 84.5566465161796 36 65.7301335667837 37 83.0951552501881 38 74.4466887637906 39 77.9035195541482 40 71.0207204244019 41 75.3700409727159 42 50.5498375726479 43 86.5600450165563 44 89.9704405260094 45 58.7019414721469 46 80.5122610805322 47 78.5843293867709 48 75.2144536503728 49 76.5045219324379 50 59.5792914106262 51 82.0624312612779 52 72.576206770395 53 87.3506951834854 54 72.0121747129247 55 73.202544793721 56 71.7133053494392 57 85.7697653480476 58 60.0620006441746 59 70.3434416489667 60 70.8249818725844 61 91.0044570297521 62 76.9555107740316 63 71.2063670169988 64 68.5115029381262 65 62.1879246265336 66 63.721863889465 67 64.0867215094727 68 72.8805879791634 69 69.27424759023 70 68.9854265366838 71 79.4480682956473 72 80.8273373942767 73 75.011513624019 74 75.0273813485657 75 64.4182312704166 76 80.2195306952408 77 68.1071199074359 78 81.2307738981402 79 75.3995271056848 80 46.9736327173727 81 90.2421721129434 82 65.5164781232519 83 80.4421613643447 84 78.9447065312774 85 65.1355022109672 86 79.9887936955535 87 85.5524507366906 88 88.3010687529492 89 77.7688796622713 90 82.1122503685345 91 79.6686684637692 92 76.7601547457157 93 83.3821123184493 94 63.0718569763752 95 72.930860015672 96 66.5777148911357 97 74.856207126854 98 61.3471257962299 99 74.5024658114249 100 92.8214210162045

\begin{tabular}{lllllllll}
\hline
Index & Value \tabularnewline
1 & 71.6388141062939 \tabularnewline
2 & 67.6727991333323 \tabularnewline
3 & 83.5634055028209 \tabularnewline
4 & 87.388663186828 \tabularnewline
5 & 75.6702239610994 \tabularnewline
6 & 92.2581737164267 \tabularnewline
7 & 77.3681419972655 \tabularnewline
8 & 78.5354973046535 \tabularnewline
9 & 85.4364142995399 \tabularnewline
10 & 73.8267034897686 \tabularnewline
11 & 82.1475849348253 \tabularnewline
12 & 54.8784018201379 \tabularnewline
13 & 61.8385687583972 \tabularnewline
14 & 66.7710867496415 \tabularnewline
15 & 83.9576122766923 \tabularnewline
16 & 68.5227893916009 \tabularnewline
17 & 79.933411096094 \tabularnewline
18 & 84.7390426424851 \tabularnewline
19 & 68.045717577169 \tabularnewline
20 & 61.2355384994681 \tabularnewline
21 & 73.9950298615025 \tabularnewline
22 & 86.3873561848457 \tabularnewline
23 & 69.3642449522065 \tabularnewline
24 & 62.3695532536303 \tabularnewline
25 & 80.0998750491556 \tabularnewline
26 & 72.0896814906252 \tabularnewline
27 & 68.7633871822989 \tabularnewline
28 & 79.8502155882585 \tabularnewline
29 & 74.0990060830136 \tabularnewline
30 & 83.6995322656148 \tabularnewline
31 & 63.965620202012 \tabularnewline
32 & 83.3768681037898 \tabularnewline
33 & 70.4379281656133 \tabularnewline
34 & 69.4576875137893 \tabularnewline
35 & 84.5566465161796 \tabularnewline
36 & 65.7301335667837 \tabularnewline
37 & 83.0951552501881 \tabularnewline
38 & 74.4466887637906 \tabularnewline
39 & 77.9035195541482 \tabularnewline
40 & 71.0207204244019 \tabularnewline
41 & 75.3700409727159 \tabularnewline
42 & 50.5498375726479 \tabularnewline
43 & 86.5600450165563 \tabularnewline
44 & 89.9704405260094 \tabularnewline
45 & 58.7019414721469 \tabularnewline
46 & 80.5122610805322 \tabularnewline
47 & 78.5843293867709 \tabularnewline
48 & 75.2144536503728 \tabularnewline
49 & 76.5045219324379 \tabularnewline
50 & 59.5792914106262 \tabularnewline
51 & 82.0624312612779 \tabularnewline
52 & 72.576206770395 \tabularnewline
53 & 87.3506951834854 \tabularnewline
54 & 72.0121747129247 \tabularnewline
55 & 73.202544793721 \tabularnewline
56 & 71.7133053494392 \tabularnewline
57 & 85.7697653480476 \tabularnewline
58 & 60.0620006441746 \tabularnewline
59 & 70.3434416489667 \tabularnewline
60 & 70.8249818725844 \tabularnewline
61 & 91.0044570297521 \tabularnewline
62 & 76.9555107740316 \tabularnewline
63 & 71.2063670169988 \tabularnewline
64 & 68.5115029381262 \tabularnewline
65 & 62.1879246265336 \tabularnewline
66 & 63.721863889465 \tabularnewline
67 & 64.0867215094727 \tabularnewline
68 & 72.8805879791634 \tabularnewline
69 & 69.27424759023 \tabularnewline
70 & 68.9854265366838 \tabularnewline
71 & 79.4480682956473 \tabularnewline
72 & 80.8273373942767 \tabularnewline
73 & 75.011513624019 \tabularnewline
74 & 75.0273813485657 \tabularnewline
75 & 64.4182312704166 \tabularnewline
76 & 80.2195306952408 \tabularnewline
77 & 68.1071199074359 \tabularnewline
78 & 81.2307738981402 \tabularnewline
79 & 75.3995271056848 \tabularnewline
80 & 46.9736327173727 \tabularnewline
81 & 90.2421721129434 \tabularnewline
82 & 65.5164781232519 \tabularnewline
83 & 80.4421613643447 \tabularnewline
84 & 78.9447065312774 \tabularnewline
85 & 65.1355022109672 \tabularnewline
86 & 79.9887936955535 \tabularnewline
87 & 85.5524507366906 \tabularnewline
88 & 88.3010687529492 \tabularnewline
89 & 77.7688796622713 \tabularnewline
90 & 82.1122503685345 \tabularnewline
91 & 79.6686684637692 \tabularnewline
92 & 76.7601547457157 \tabularnewline
93 & 83.3821123184493 \tabularnewline
94 & 63.0718569763752 \tabularnewline
95 & 72.930860015672 \tabularnewline
96 & 66.5777148911357 \tabularnewline
97 & 74.856207126854 \tabularnewline
98 & 61.3471257962299 \tabularnewline
99 & 74.5024658114249 \tabularnewline
100 & 92.8214210162045 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=319126&T=1

[TABLE]
[ROW][C]Index[/C][C]Value[/C][/ROW]
[ROW][C]1[/C][C]71.6388141062939[/C][/ROW]
[ROW][C]2[/C][C]67.6727991333323[/C][/ROW]
[ROW][C]3[/C][C]83.5634055028209[/C][/ROW]
[ROW][C]4[/C][C]87.388663186828[/C][/ROW]
[ROW][C]5[/C][C]75.6702239610994[/C][/ROW]
[ROW][C]6[/C][C]92.2581737164267[/C][/ROW]
[ROW][C]7[/C][C]77.3681419972655[/C][/ROW]
[ROW][C]8[/C][C]78.5354973046535[/C][/ROW]
[ROW][C]9[/C][C]85.4364142995399[/C][/ROW]
[ROW][C]10[/C][C]73.8267034897686[/C][/ROW]
[ROW][C]11[/C][C]82.1475849348253[/C][/ROW]
[ROW][C]12[/C][C]54.8784018201379[/C][/ROW]
[ROW][C]13[/C][C]61.8385687583972[/C][/ROW]
[ROW][C]14[/C][C]66.7710867496415[/C][/ROW]
[ROW][C]15[/C][C]83.9576122766923[/C][/ROW]
[ROW][C]16[/C][C]68.5227893916009[/C][/ROW]
[ROW][C]17[/C][C]79.933411096094[/C][/ROW]
[ROW][C]18[/C][C]84.7390426424851[/C][/ROW]
[ROW][C]19[/C][C]68.045717577169[/C][/ROW]
[ROW][C]20[/C][C]61.2355384994681[/C][/ROW]
[ROW][C]21[/C][C]73.9950298615025[/C][/ROW]
[ROW][C]22[/C][C]86.3873561848457[/C][/ROW]
[ROW][C]23[/C][C]69.3642449522065[/C][/ROW]
[ROW][C]24[/C][C]62.3695532536303[/C][/ROW]
[ROW][C]25[/C][C]80.0998750491556[/C][/ROW]
[ROW][C]26[/C][C]72.0896814906252[/C][/ROW]
[ROW][C]27[/C][C]68.7633871822989[/C][/ROW]
[ROW][C]28[/C][C]79.8502155882585[/C][/ROW]
[ROW][C]29[/C][C]74.0990060830136[/C][/ROW]
[ROW][C]30[/C][C]83.6995322656148[/C][/ROW]
[ROW][C]31[/C][C]63.965620202012[/C][/ROW]
[ROW][C]32[/C][C]83.3768681037898[/C][/ROW]
[ROW][C]33[/C][C]70.4379281656133[/C][/ROW]
[ROW][C]34[/C][C]69.4576875137893[/C][/ROW]
[ROW][C]35[/C][C]84.5566465161796[/C][/ROW]
[ROW][C]36[/C][C]65.7301335667837[/C][/ROW]
[ROW][C]37[/C][C]83.0951552501881[/C][/ROW]
[ROW][C]38[/C][C]74.4466887637906[/C][/ROW]
[ROW][C]39[/C][C]77.9035195541482[/C][/ROW]
[ROW][C]40[/C][C]71.0207204244019[/C][/ROW]
[ROW][C]41[/C][C]75.3700409727159[/C][/ROW]
[ROW][C]42[/C][C]50.5498375726479[/C][/ROW]
[ROW][C]43[/C][C]86.5600450165563[/C][/ROW]
[ROW][C]44[/C][C]89.9704405260094[/C][/ROW]
[ROW][C]45[/C][C]58.7019414721469[/C][/ROW]
[ROW][C]46[/C][C]80.5122610805322[/C][/ROW]
[ROW][C]47[/C][C]78.5843293867709[/C][/ROW]
[ROW][C]48[/C][C]75.2144536503728[/C][/ROW]
[ROW][C]49[/C][C]76.5045219324379[/C][/ROW]
[ROW][C]50[/C][C]59.5792914106262[/C][/ROW]
[ROW][C]51[/C][C]82.0624312612779[/C][/ROW]
[ROW][C]52[/C][C]72.576206770395[/C][/ROW]
[ROW][C]53[/C][C]87.3506951834854[/C][/ROW]
[ROW][C]54[/C][C]72.0121747129247[/C][/ROW]
[ROW][C]55[/C][C]73.202544793721[/C][/ROW]
[ROW][C]56[/C][C]71.7133053494392[/C][/ROW]
[ROW][C]57[/C][C]85.7697653480476[/C][/ROW]
[ROW][C]58[/C][C]60.0620006441746[/C][/ROW]
[ROW][C]59[/C][C]70.3434416489667[/C][/ROW]
[ROW][C]60[/C][C]70.8249818725844[/C][/ROW]
[ROW][C]61[/C][C]91.0044570297521[/C][/ROW]
[ROW][C]62[/C][C]76.9555107740316[/C][/ROW]
[ROW][C]63[/C][C]71.2063670169988[/C][/ROW]
[ROW][C]64[/C][C]68.5115029381262[/C][/ROW]
[ROW][C]65[/C][C]62.1879246265336[/C][/ROW]
[ROW][C]66[/C][C]63.721863889465[/C][/ROW]
[ROW][C]67[/C][C]64.0867215094727[/C][/ROW]
[ROW][C]68[/C][C]72.8805879791634[/C][/ROW]
[ROW][C]69[/C][C]69.27424759023[/C][/ROW]
[ROW][C]70[/C][C]68.9854265366838[/C][/ROW]
[ROW][C]71[/C][C]79.4480682956473[/C][/ROW]
[ROW][C]72[/C][C]80.8273373942767[/C][/ROW]
[ROW][C]73[/C][C]75.011513624019[/C][/ROW]
[ROW][C]74[/C][C]75.0273813485657[/C][/ROW]
[ROW][C]75[/C][C]64.4182312704166[/C][/ROW]
[ROW][C]76[/C][C]80.2195306952408[/C][/ROW]
[ROW][C]77[/C][C]68.1071199074359[/C][/ROW]
[ROW][C]78[/C][C]81.2307738981402[/C][/ROW]
[ROW][C]79[/C][C]75.3995271056848[/C][/ROW]
[ROW][C]80[/C][C]46.9736327173727[/C][/ROW]
[ROW][C]81[/C][C]90.2421721129434[/C][/ROW]
[ROW][C]82[/C][C]65.5164781232519[/C][/ROW]
[ROW][C]83[/C][C]80.4421613643447[/C][/ROW]
[ROW][C]84[/C][C]78.9447065312774[/C][/ROW]
[ROW][C]85[/C][C]65.1355022109672[/C][/ROW]
[ROW][C]86[/C][C]79.9887936955535[/C][/ROW]
[ROW][C]87[/C][C]85.5524507366906[/C][/ROW]
[ROW][C]88[/C][C]88.3010687529492[/C][/ROW]
[ROW][C]89[/C][C]77.7688796622713[/C][/ROW]
[ROW][C]90[/C][C]82.1122503685345[/C][/ROW]
[ROW][C]91[/C][C]79.6686684637692[/C][/ROW]
[ROW][C]92[/C][C]76.7601547457157[/C][/ROW]
[ROW][C]93[/C][C]83.3821123184493[/C][/ROW]
[ROW][C]94[/C][C]63.0718569763752[/C][/ROW]
[ROW][C]95[/C][C]72.930860015672[/C][/ROW]
[ROW][C]96[/C][C]66.5777148911357[/C][/ROW]
[ROW][C]97[/C][C]74.856207126854[/C][/ROW]
[ROW][C]98[/C][C]61.3471257962299[/C][/ROW]
[ROW][C]99[/C][C]74.5024658114249[/C][/ROW]
[ROW][C]100[/C][C]92.8214210162045[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=319126&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=319126&T=1

As an alternative you can also use a QR Code:

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

 Index Value 1 71.6388141062939 2 67.6727991333323 3 83.5634055028209 4 87.388663186828 5 75.6702239610994 6 92.2581737164267 7 77.3681419972655 8 78.5354973046535 9 85.4364142995399 10 73.8267034897686 11 82.1475849348253 12 54.8784018201379 13 61.8385687583972 14 66.7710867496415 15 83.9576122766923 16 68.5227893916009 17 79.933411096094 18 84.7390426424851 19 68.045717577169 20 61.2355384994681 21 73.9950298615025 22 86.3873561848457 23 69.3642449522065 24 62.3695532536303 25 80.0998750491556 26 72.0896814906252 27 68.7633871822989 28 79.8502155882585 29 74.0990060830136 30 83.6995322656148 31 63.965620202012 32 83.3768681037898 33 70.4379281656133 34 69.4576875137893 35 84.5566465161796 36 65.7301335667837 37 83.0951552501881 38 74.4466887637906 39 77.9035195541482 40 71.0207204244019 41 75.3700409727159 42 50.5498375726479 43 86.5600450165563 44 89.9704405260094 45 58.7019414721469 46 80.5122610805322 47 78.5843293867709 48 75.2144536503728 49 76.5045219324379 50 59.5792914106262 51 82.0624312612779 52 72.576206770395 53 87.3506951834854 54 72.0121747129247 55 73.202544793721 56 71.7133053494392 57 85.7697653480476 58 60.0620006441746 59 70.3434416489667 60 70.8249818725844 61 91.0044570297521 62 76.9555107740316 63 71.2063670169988 64 68.5115029381262 65 62.1879246265336 66 63.721863889465 67 64.0867215094727 68 72.8805879791634 69 69.27424759023 70 68.9854265366838 71 79.4480682956473 72 80.8273373942767 73 75.011513624019 74 75.0273813485657 75 64.4182312704166 76 80.2195306952408 77 68.1071199074359 78 81.2307738981402 79 75.3995271056848 80 46.9736327173727 81 90.2421721129434 82 65.5164781232519 83 80.4421613643447 84 78.9447065312774 85 65.1355022109672 86 79.9887936955535 87 85.5524507366906 88 88.3010687529492 89 77.7688796622713 90 82.1122503685345 91 79.6686684637692 92 76.7601547457157 93 83.3821123184493 94 63.0718569763752 95 72.930860015672 96 66.5777148911357 97 74.856207126854 98 61.3471257962299 99 74.5024658114249 100 92.8214210162045

 Parameter Value Standard Deviation # simulated values 100 - true mean 75 - true standard deviation 10 - mean 74.5300292789009 0.922563378482843 standard deviation 9.22563378482843 0.65235082099959

\begin{tabular}{lllllllll}
\hline
Parameter & Value & Standard Deviation \tabularnewline
# simulated values & 100 & - \tabularnewline
true mean & 75 & - \tabularnewline
true standard deviation & 10 & - \tabularnewline
mean & 74.5300292789009 & 0.922563378482843 \tabularnewline
standard deviation & 9.22563378482843 & 0.65235082099959 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=319126&T=2

[TABLE]
[ROW][C]Parameter[/C][C]Value[/C][C]Standard Deviation[/C][/ROW]
[ROW][C]# simulated values[/C][C]100[/C][C]-[/C][/ROW]
[ROW][C]true mean[/C][C]75[/C][C]-[/C][/ROW]
[ROW][C]true standard deviation[/C][C]10[/C][C]-[/C][/ROW]
[ROW][C]mean[/C][C]74.5300292789009[/C][C]0.922563378482843[/C][/ROW]
[ROW][C]standard deviation[/C][C]9.22563378482843[/C][C]0.65235082099959[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=319126&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=319126&T=2

As an alternative you can also use a QR Code:

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

 Parameter Value Standard Deviation # simulated values 100 - true mean 75 - true standard deviation 10 - mean 74.5300292789009 0.922563378482843 standard deviation 9.22563378482843 0.65235082099959

 Frequency Table (Histogram) Bins Midpoint Abs. Frequency Rel. Frequency Cumul. Rel. Freq. Density [45,50[ 47.5 1 0.01 0.01 0.002 [50,55[ 52.5 2 0.02 0.03 0.004 [55,60[ 57.5 2 0.02 0.05 0.004 [60,65[ 62.5 11 0.11 0.16 0.022 [65,70[ 67.5 15 0.15 0.31 0.03 [70,75[ 72.5 19 0.19 0.5 0.038 [75,80[ 77.5 20 0.2 0.7 0.04 [80,85[ 82.5 17 0.17 0.87 0.034 [85,90[ 87.5 9 0.09 0.96 0.018 [90,95] 92.5 4 0.04 1 0.008

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[45,50[ & 47.5 & 1 & 0.01 & 0.01 & 0.002 \tabularnewline
[50,55[ & 52.5 & 2 & 0.02 & 0.03 & 0.004 \tabularnewline
[55,60[ & 57.5 & 2 & 0.02 & 0.05 & 0.004 \tabularnewline
[60,65[ & 62.5 & 11 & 0.11 & 0.16 & 0.022 \tabularnewline
[65,70[ & 67.5 & 15 & 0.15 & 0.31 & 0.03 \tabularnewline
[70,75[ & 72.5 & 19 & 0.19 & 0.5 & 0.038 \tabularnewline
[75,80[ & 77.5 & 20 & 0.2 & 0.7 & 0.04 \tabularnewline
[80,85[ & 82.5 & 17 & 0.17 & 0.87 & 0.034 \tabularnewline
[85,90[ & 87.5 & 9 & 0.09 & 0.96 & 0.018 \tabularnewline
[90,95] & 92.5 & 4 & 0.04 & 1 & 0.008 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=319126&T=3

[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][45,50[[/C][C]47.5[/C][C]1[/C][C]0.01[/C][C]0.01[/C][C]0.002[/C][/ROW]
[ROW][C][50,55[[/C][C]52.5[/C][C]2[/C][C]0.02[/C][C]0.03[/C][C]0.004[/C][/ROW]
[ROW][C][55,60[[/C][C]57.5[/C][C]2[/C][C]0.02[/C][C]0.05[/C][C]0.004[/C][/ROW]
[ROW][C][60,65[[/C][C]62.5[/C][C]11[/C][C]0.11[/C][C]0.16[/C][C]0.022[/C][/ROW]
[ROW][C][65,70[[/C][C]67.5[/C][C]15[/C][C]0.15[/C][C]0.31[/C][C]0.03[/C][/ROW]
[ROW][C][70,75[[/C][C]72.5[/C][C]19[/C][C]0.19[/C][C]0.5[/C][C]0.038[/C][/ROW]
[ROW][C][75,80[[/C][C]77.5[/C][C]20[/C][C]0.2[/C][C]0.7[/C][C]0.04[/C][/ROW]
[ROW][C][80,85[[/C][C]82.5[/C][C]17[/C][C]0.17[/C][C]0.87[/C][C]0.034[/C][/ROW]
[ROW][C][85,90[[/C][C]87.5[/C][C]9[/C][C]0.09[/C][C]0.96[/C][C]0.018[/C][/ROW]
[ROW][C][90,95][/C][C]92.5[/C][C]4[/C][C]0.04[/C][C]1[/C][C]0.008[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=319126&T=3

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=319126&T=3

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 [45,50[ 47.5 1 0.01 0.01 0.002 [50,55[ 52.5 2 0.02 0.03 0.004 [55,60[ 57.5 2 0.02 0.05 0.004 [60,65[ 62.5 11 0.11 0.16 0.022 [65,70[ 67.5 15 0.15 0.31 0.03 [70,75[ 72.5 19 0.19 0.5 0.038 [75,80[ 77.5 20 0.2 0.7 0.04 [80,85[ 82.5 17 0.17 0.87 0.034 [85,90[ 87.5 9 0.09 0.96 0.018 [90,95] 92.5 4 0.04 1 0.008

 PNG link Postscript link PDF link

Parameters (Session):
par1 = 100 ; par2 = 75 ; par3 = 10 ; par4 = 2 ; par5 = Y ; par6 = 0 ;
Parameters (R input):
par1 = 100 ; par2 = 75 ; par3 = 10 ; par4 = 2 ; par5 = Y ; par6 = 0 ; par7 = ; par8 = ;
R code (references can be found in the software module):
library(MASS)library(msm)par1 <- sub(',','.',par1)par2 <- sub(',','.',par2)par3 <- sub(',','.',par3)par4 <- sub(',','.',par4)par1 <- as.numeric(par1)if (par1 > 10000) par1=10000 #impose restriction on number of random valuespar2 <- as.numeric(par2)par3 <- as.numeric(par3)par4 <- as.numeric(par4)if (par6 == '0') par6 = 'Sturges' else {par6 <- as.numeric(par6)if (par6 > 50) par6 = 50 #impose restriction on the number of bins}if (par7 == '') par7 <- -Inf else par7 <- as.numeric(par7)if (par8 == '') par8 <- Inf else par8 <- as.numeric(par8)x <- rtnorm(par1,par2,par3,par7,par8)x <- as.ts(x) #otherwise the fitdistr function does not work properlyif ((par7 == -Inf) & (par8 == Inf)) (r <- fitdistr(x,'normal'))bitmap(file='test1.png')myhist<-hist(x,col=par4,breaks=par6,main=main,ylab=ylab,xlab=xlab,freq=F)if ((par7 == -Inf) & (par8 == Inf)) {curve(1/(r$estimate[2]*sqrt(2*pi))*exp(-1/2*((x-r$estimate[1])/r$estimate[2])^2),min(x),max(x),add=T)}dev.off()load(file='createtable')if (par5 == 'Y'){a<-table.start()a<-table.row.start(a)a<-table.element(a,'Index',1,TRUE)a<-table.element(a,'Value',1,TRUE)a<-table.row.end(a)for (i in 1:par1){a<-table.row.start(a)a<-table.element(a,i,header=TRUE)a<-table.element(a,x[i])a<-table.row.end(a)}a<-table.end(a)table.save(a,file='mytable1.tab')}if ((par7 == -Inf) & (par8 == Inf)) {a<-table.start()a<-table.row.start(a)a<-table.element(a,'Parameter',1,TRUE)a<-table.element(a,'Value',1,TRUE)a<-table.element(a,'Standard Deviation',1,TRUE)a<-table.row.end(a)a<-table.row.start(a)a<-table.element(a,'# simulated values',header=TRUE)a<-table.element(a,par1)a<-table.element(a,'-')a<-table.row.end(a)a<-table.row.start(a)a<-table.element(a,'true mean',header=TRUE)a<-table.element(a,par2)a<-table.element(a,'-')a<-table.row.end(a)a<-table.row.start(a)a<-table.element(a,'true standard deviation',header=TRUE)a<-table.element(a,par3)a<-table.element(a,'-')a<-table.row.end(a)a<-table.row.start(a)a<-table.element(a,'mean',header=TRUE)a<-table.element(a,r$estimate[1])a<-table.element(a,r$sd[1])a<-table.row.end(a)a<-table.row.start(a)a<-table.element(a,'standard deviation',header=TRUE)a<-table.element(a,r$estimate[2])a<-table.element(a,r$sd[2])a<-table.row.end(a)a<-table.end(a)table.save(a,file='mytable.tab')}a<-table.start()a<-table.row.start(a)a<-table.element(a,'Frequency Table (Histogram)',6,TRUE)a<-table.row.end(a)a<-table.row.start(a)a<-table.element(a,'Bins',header=TRUE)a<-table.element(a,'Midpoint',header=TRUE)a<-table.element(a,'Abs. Frequency',header=TRUE)a<-table.element(a,'Rel. Frequency',header=TRUE)a<-table.element(a,'Cumul. Rel. Freq.',header=TRUE)a<-table.element(a,'Density',header=TRUE)a<-table.row.end(a)crf <- 0mynumrows <- (length(myhist$breaks)-1)for (i in 1:mynumrows) {a<-table.row.start(a)dum <- paste('[',myhist$breaks[i],sep='')dum <- paste(dum,myhist$breaks[i+1],sep=',')if (i==mynumrows)dum <- paste(dum,']',sep='')elsedum <- paste(dum,'[',sep='')a<-table.element(a,dum,header=TRUE)a<-table.element(a,myhist$mids[i])a<-table.element(a,myhist$counts[i])rf <- myhist$counts[i]/par1crf <- crf + rfa<-table.element(a,round(rf,6))a<-table.element(a,round(crf,6))a<-table.element(a,round(myhist$density[i],6))a<-table.row.end(a)}a<-table.end(a)table.save(a,file='mytable3.tab')