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Description of Statistical Computation

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 computationWed, 12 Nov 2008 13:35:34 -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/12/t122652232503n6k08hw8k3ovz.htm/, Retrieved Sun, 19 May 2024 10:20:15 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=24441, Retrieved Sun, 19 May 2024 10:20:15 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact159

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
F       [Maximum-likelihood Fitting - Normal Distribution] [maximum likelihoo...] [2008-11-12 20:35:34] [98255691c21504803b38711776845ae0] [Current]
Feedback Forum
2008-11-19 14:42:28 [Glenn Maras] [reply] 
Er is geen uitleg gegeven. De student kon hier gezegd hebben dat het bijna een normaalverdeling is maar dat er linkerkant helemaal niet lijkt op een normaal verdeling, terwijl de rechterhelft er wel erg op lijkt.
2008-11-20 15:15:06 [6066575aa30c0611e452e930b1dff53d] [reply] 
Hier werd geen conclusie gegeven. Men zou eventueel kunnen vermelden dat op de x-as we de waarde vinden van de data series en op de y-as vinden we de dichtheid. We zien hier duidelijk dat de meeste waarden zich tussen 120 en 140 bevinden en dat er zo goed als geen waarden zich bevinden tussen 110 en 120.
2008-11-22 14:18:41 [Gilliam Schoorel] [reply] 
Conclusie ontbreekt bij deze bewerking.
In deze oefening kan men zien of de normaalverdeling een goede benadering is voor de onderzochte tijdreeks. Je kan zien dat hier sprake is van een normaalverdeling.

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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
100,4
123,3
156,6
136,2
147,5
143,8
135,8
121,6
128
129,7
136,2
130,5
99,2

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'George Udny Yule' @ 72.249.76.132

\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 & 'George Udny Yule' @ 72.249.76.132 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=24441&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]'George Udny Yule' @ 72.249.76.132[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=24441&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=24441&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 time1 seconds
R Server'George Udny Yule' @ 72.249.76.132






ParameterEstimated ValueStandard Deviation
mean129.9076923076924.39152574931749
standard deviation15.83387126668463.10527763709773

\begin{tabular}{lllllllll}
\hline
Parameter & Estimated Value & Standard Deviation \tabularnewline
mean & 129.907692307692 & 4.39152574931749 \tabularnewline
standard deviation & 15.8338712666846 & 3.10527763709773 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=24441&T=1

[TABLE]
[ROW][C]Parameter[/C][C]Estimated Value[/C][C]Standard Deviation[/C][/ROW]
[ROW][C]mean[/C][C]129.907692307692[/C][C]4.39152574931749[/C][/ROW]
[ROW][C]standard deviation[/C][C]15.8338712666846[/C][C]3.10527763709773[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=24441&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=24441&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:

ParameterEstimated ValueStandard Deviation
mean129.9076923076924.39152574931749
standard deviation15.83387126668463.10527763709773


Figures (Output of Computation)

Input Parameters & R Code

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')