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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 computationThu, 13 Nov 2008 02:35:54 -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/13/t1226569011jn049m8qca7vxkw.htm/, Retrieved Sun, 19 May 2024 12:04:27 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=24517, Retrieved Sun, 19 May 2024 12:04:27 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsNormal ML Fit
Estimated Impact139

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] [Normal ML Fit Q5] [2008-11-13 09:35:54] [3bdbbe597ac6c61989658933956ee6ac] [Current]
Feedback Forum
2008-11-14 14:55:25 [c798c834ef86cb6aaf2fcb10ea683230] [reply] 
De gegevens zijn inderdaad vrij normaal verdeeld, misschien een klein beetje linksscheef: meer gegevens aan de rechterkant, staart aan de linkerkant.
Er zijn gegevens over de mediaan, dit zou preciesere informatie kunnen opleveren over de normaalverdeling.
2008-11-23 17:05:18 [Peter Van Doninck] [reply] 
De student heeft gelijk dat de gegevens min of meer normaal verdeeld zijn. Wel is er een staart naar de linkerkant, en bevinden er zich iets meer gegevens aan de rechterkant. De student heeft dit ook duidelijk aangegeven.
2008-11-24 14:41:33 [Vincent Dolhain] [reply] 
Zowel de grafiek als conclusie zijn correct

Post a new message

Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
91
120,7
127,9
112,4
93,1
107,5
107,3
114,8
120,8
112,2
123,3
100,6
86,7
123,6
125,3
111,1
98,4
102,3
105
128,2
124,7
116,1
131,2
97,7
88,8
132,8
113,9
112,6
104,3
107,5
106
117,3
123,1
114,3
132
92,3
93,7
121,3
113,6
116,3
98,3
111,9
109,3
133,2
118
131,6
134,1
96,7
99,8
128,3
134,9
130,7
107,3
121,6
120,6
140,5
124,8
129,9
159,4
111
110,1
132,7
135
118,6
94
117,9
114,7
113,6
130,6
117,1
123,2
106,1
87,9

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'Sir Ronald Aylmer Fisher' @ 193.190.124.24

\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 & 2 seconds \tabularnewline
R Server & 'Sir Ronald Aylmer Fisher' @ 193.190.124.24 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=24517&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]2 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Sir Ronald Aylmer Fisher' @ 193.190.124.24[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=24517&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=24517&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 time2 seconds
R Server'Sir Ronald Aylmer Fisher' @ 193.190.124.24






ParameterEstimated ValueStandard Deviation
mean115.2753424657531.66623751620043
standard deviation14.2363395790051.17820784677275

\begin{tabular}{lllllllll}
\hline
Parameter & Estimated Value & Standard Deviation \tabularnewline
mean & 115.275342465753 & 1.66623751620043 \tabularnewline
standard deviation & 14.236339579005 & 1.17820784677275 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=24517&T=1

[TABLE]
[ROW][C]Parameter[/C][C]Estimated Value[/C][C]Standard Deviation[/C][/ROW]
[ROW][C]mean[/C][C]115.275342465753[/C][C]1.66623751620043[/C][/ROW]
[ROW][C]standard deviation[/C][C]14.236339579005[/C][C]1.17820784677275[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=24517&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=24517&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
mean115.2753424657531.66623751620043
standard deviation14.2363395790051.17820784677275


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')