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Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_fitdistrnorm.wasp
Title produced by softwareMaximum-likelihood Fitting - Normal Distribution
Date of computationSun, 09 Nov 2008 12:06:54 -0700
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2008/Nov/09/t12262576644g8wh8twgalni3g.htm/, Retrieved Wed, 15 May 2024 14:46:01 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=22823, Retrieved Wed, 15 May 2024 14:46:01 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact186
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Maximum-likelihood Fitting - Normal Distribution] [Normal distribution] [2007-11-05 10:10:07] [76acd2a07599dda8f6e62381bea67e8b]
F    D    [Maximum-likelihood Fitting - Normal Distribution] [Various EDA Topic...] [2008-11-09 19:06:54] [0831954c833179c36e9320daee0825b5] [Current]
F    D      [Maximum-likelihood Fitting - Normal Distribution] [Various EDA topic...] [2008-11-09 20:21:32] [3548296885df7a66ea8efc200c4aca50]
F    D      [Maximum-likelihood Fitting - Normal Distribution] [Various EDA topic...] [2008-11-12 14:47:17] [9c2d53170eb755e9ae5fcf19d2174a32]
F    D      [Maximum-likelihood Fitting - Normal Distribution] [Various EDA Topic...] [2008-11-12 14:50:55] [9c2d53170eb755e9ae5fcf19d2174a32]
-    D      [Maximum-likelihood Fitting - Normal Distribution] [Various EDA Topic...] [2008-11-12 14:53:10] [9c2d53170eb755e9ae5fcf19d2174a32]
-    D      [Maximum-likelihood Fitting - Normal Distribution] [Various EDA Topic...] [2008-11-12 14:55:24] [9c2d53170eb755e9ae5fcf19d2174a32]
Feedback Forum
2008-11-19 12:35:30 [Bob Leysen] [reply
De grafiek is correct. Als we zien naar de grafiek van de normaalverdeling dan kunnen we concluderen dat ons histogram op 1 uitschieter na gelijkloopt met de normaalverdeling.
2008-11-21 15:39:25 [Stijn Van de Velde] [reply
In deze grafiek gaan we na of het histogram gelijk loopt met de vloeiende lijn van de normaalverdeling. Het histogram loopt grotendeels gelijk met grafiekcurve. We kunnen dus min of meer spreken van een normaalverdeling.

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Dataseries X:
12055
12113
9617
12646
13581
12162
10970
11880
11888
12927
12300
12093
12381
12197
9455
13168
13428
11981
11885
11692
12234
14341
13131
12421
14286
12865
11160
14316
14389
14014
13419
12770
13316
15333
14243
13824
14963
13203
12199
15509
14200
15170
14058
13786
14148
16542
13588
15582
15803
14131
12923
15612
16034
16037
14038
15331
15038
17402
14993
16044
16930
15921
14417
15961
17852
16484
14216
17430
17840
17629




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 1 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=22823&T=0

[TABLE]
[ROW][C]Summary of computational transaction[/C][/ROW]
[ROW][C]Raw Input[/C][C]view raw input (R code) [/C][/ROW]
[ROW][C]Raw Output[/C][C]view raw output of R engine [/C][/ROW]
[ROW][C]Computing time[/C][C]1 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Gwilym Jenkins' @ 72.249.127.135[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=22823&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=22823&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 Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135







ParameterEstimated ValueStandard Deviation
mean13964.2142857143225.458385583100
standard deviation1886.32018864286159.423153321181

\begin{tabular}{lllllllll}
\hline
Parameter & Estimated Value & Standard Deviation \tabularnewline
mean & 13964.2142857143 & 225.458385583100 \tabularnewline
standard deviation & 1886.32018864286 & 159.423153321181 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=22823&T=1

[TABLE]
[ROW][C]Parameter[/C][C]Estimated Value[/C][C]Standard Deviation[/C][/ROW]
[ROW][C]mean[/C][C]13964.2142857143[/C][C]225.458385583100[/C][/ROW]
[ROW][C]standard deviation[/C][C]1886.32018864286[/C][C]159.423153321181[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=22823&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=22823&T=1

As an alternative you can also use a QR Code:  

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

ParameterEstimated ValueStandard Deviation
mean13964.2142857143225.458385583100
standard deviation1886.32018864286159.423153321181



Parameters (Session):
par1 = 8 ; par2 = 0 ;
Parameters (R input):
par1 = 8 ; par2 = 0 ;
R code (references can be found in the software module):
library(MASS)
par1 <- as.numeric(par1)
if (par2 == '0') par2 = 'Sturges' else par2 <- as.numeric(par2)
x <- as.ts(x) #otherwise the fitdistr function does not work properly
r <- fitdistr(x,'normal')
r
bitmap(file='test1.png')
myhist<-hist(x,col=par1,breaks=par2,main=main,ylab=ylab,xlab=xlab,freq=F)
curve(1/(r$estimate[2]*sqrt(2*pi))*exp(-1/2*((x-r$estimate[1])/r$estimate[2])^2),min(x),max(x),add=T)
dev.off()
load(file='createtable')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Parameter',1,TRUE)
a<-table.element(a,'Estimated Value',1,TRUE)
a<-table.element(a,'Standard Deviation',1,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'mean',header=TRUE)
a<-table.element(a,r$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')