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 Outputview raw output of R engine
Computing time1 seconds
R ServerBig 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 Outputview raw output of R engine
Computing time1 seconds
R ServerBig Analytics Cloud Computing Center







IndexValue
171.6388141062939
267.6727991333323
383.5634055028209
487.388663186828
575.6702239610994
692.2581737164267
777.3681419972655
878.5354973046535
985.4364142995399
1073.8267034897686
1182.1475849348253
1254.8784018201379
1361.8385687583972
1466.7710867496415
1583.9576122766923
1668.5227893916009
1779.933411096094
1884.7390426424851
1968.045717577169
2061.2355384994681
2173.9950298615025
2286.3873561848457
2369.3642449522065
2462.3695532536303
2580.0998750491556
2672.0896814906252
2768.7633871822989
2879.8502155882585
2974.0990060830136
3083.6995322656148
3163.965620202012
3283.3768681037898
3370.4379281656133
3469.4576875137893
3584.5566465161796
3665.7301335667837
3783.0951552501881
3874.4466887637906
3977.9035195541482
4071.0207204244019
4175.3700409727159
4250.5498375726479
4386.5600450165563
4489.9704405260094
4558.7019414721469
4680.5122610805322
4778.5843293867709
4875.2144536503728
4976.5045219324379
5059.5792914106262
5182.0624312612779
5272.576206770395
5387.3506951834854
5472.0121747129247
5573.202544793721
5671.7133053494392
5785.7697653480476
5860.0620006441746
5970.3434416489667
6070.8249818725844
6191.0044570297521
6276.9555107740316
6371.2063670169988
6468.5115029381262
6562.1879246265336
6663.721863889465
6764.0867215094727
6872.8805879791634
6969.27424759023
7068.9854265366838
7179.4480682956473
7280.8273373942767
7375.011513624019
7475.0273813485657
7564.4182312704166
7680.2195306952408
7768.1071199074359
7881.2307738981402
7975.3995271056848
8046.9736327173727
8190.2421721129434
8265.5164781232519
8380.4421613643447
8478.9447065312774
8565.1355022109672
8679.9887936955535
8785.5524507366906
8888.3010687529492
8977.7688796622713
9082.1122503685345
9179.6686684637692
9276.7601547457157
9383.3821123184493
9463.0718569763752
9572.930860015672
9666.5777148911357
9774.856207126854
9861.3471257962299
9974.5024658114249
10092.8214210162045

\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:

IndexValue
171.6388141062939
267.6727991333323
383.5634055028209
487.388663186828
575.6702239610994
692.2581737164267
777.3681419972655
878.5354973046535
985.4364142995399
1073.8267034897686
1182.1475849348253
1254.8784018201379
1361.8385687583972
1466.7710867496415
1583.9576122766923
1668.5227893916009
1779.933411096094
1884.7390426424851
1968.045717577169
2061.2355384994681
2173.9950298615025
2286.3873561848457
2369.3642449522065
2462.3695532536303
2580.0998750491556
2672.0896814906252
2768.7633871822989
2879.8502155882585
2974.0990060830136
3083.6995322656148
3163.965620202012
3283.3768681037898
3370.4379281656133
3469.4576875137893
3584.5566465161796
3665.7301335667837
3783.0951552501881
3874.4466887637906
3977.9035195541482
4071.0207204244019
4175.3700409727159
4250.5498375726479
4386.5600450165563
4489.9704405260094
4558.7019414721469
4680.5122610805322
4778.5843293867709
4875.2144536503728
4976.5045219324379
5059.5792914106262
5182.0624312612779
5272.576206770395
5387.3506951834854
5472.0121747129247
5573.202544793721
5671.7133053494392
5785.7697653480476
5860.0620006441746
5970.3434416489667
6070.8249818725844
6191.0044570297521
6276.9555107740316
6371.2063670169988
6468.5115029381262
6562.1879246265336
6663.721863889465
6764.0867215094727
6872.8805879791634
6969.27424759023
7068.9854265366838
7179.4480682956473
7280.8273373942767
7375.011513624019
7475.0273813485657
7564.4182312704166
7680.2195306952408
7768.1071199074359
7881.2307738981402
7975.3995271056848
8046.9736327173727
8190.2421721129434
8265.5164781232519
8380.4421613643447
8478.9447065312774
8565.1355022109672
8679.9887936955535
8785.5524507366906
8888.3010687529492
8977.7688796622713
9082.1122503685345
9179.6686684637692
9276.7601547457157
9383.3821123184493
9463.0718569763752
9572.930860015672
9666.5777148911357
9774.856207126854
9861.3471257962299
9974.5024658114249
10092.8214210162045







ParameterValueStandard Deviation
# simulated values100-
true mean75-
true standard deviation10-
mean74.53002927890090.922563378482843
standard deviation9.225633784828430.65235082099959

\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:

ParameterValueStandard Deviation
# simulated values100-
true mean75-
true standard deviation10-
mean74.53002927890090.922563378482843
standard deviation9.225633784828430.65235082099959







Frequency Table (Histogram)
BinsMidpointAbs. FrequencyRel. FrequencyCumul. Rel. Freq.Density
[45,50[47.510.010.010.002
[50,55[52.520.020.030.004
[55,60[57.520.020.050.004
[60,65[62.5110.110.160.022
[65,70[67.5150.150.310.03
[70,75[72.5190.190.50.038
[75,80[77.5200.20.70.04
[80,85[82.5170.170.870.034
[85,90[87.590.090.960.018
[90,95]92.540.0410.008

\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)
BinsMidpointAbs. FrequencyRel. FrequencyCumul. Rel. Freq.Density
[45,50[47.510.010.010.002
[50,55[52.520.020.030.004
[55,60[57.520.020.050.004
[60,65[62.5110.110.160.022
[65,70[67.5150.150.310.03
[70,75[72.5190.190.50.038
[75,80[77.5200.20.70.04
[80,85[82.5170.170.870.034
[85,90[87.590.090.960.018
[90,95]92.540.0410.008



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 values
par2 <- 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 properly
if ((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$sd[2])
a<-table.row.end(a)
a<-table.end(a)
table.save(a,file='mytable.tab')
}
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Frequency Table (Histogram)',6,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Bins',header=TRUE)
a<-table.element(a,'Midpoint',header=TRUE)
a<-table.element(a,'Abs. Frequency',header=TRUE)
a<-table.element(a,'Rel. Frequency',header=TRUE)
a<-table.element(a,'Cumul. Rel. Freq.',header=TRUE)
a<-table.element(a,'Density',header=TRUE)
a<-table.row.end(a)
crf <- 0
mynumrows <- (length(myhist$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='')
else
dum <- 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$counts[i]/par1
crf <- crf + rf
a<-table.element(a,round(rf,6))
a<-table.element(a,round(crf,6))
a<-table.element(a,round(myhist$density[i],6))
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable3.tab')