Free Statistics

of Irreproducible Research!

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 computationTue, 19 Oct 2010 16:10:42 +0000
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2010/Oct/19/t12875046083kc416wut5dv0uy.htm/, Retrieved Sun, 28 Apr 2024 21:42:22 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=86702, Retrieved Sun, 28 Apr 2024 21:42:22 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact89
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Maximum-likelihood Fitting - Normal Distribution] [Intrinsic Motivat...] [2010-10-12 11:57:21] [b98453cac15ba1066b407e146608df68]
F   PD    [Maximum-likelihood Fitting - Normal Distribution] [] [2010-10-19 16:10:42] [4dba6678eac10ee5c3460d144a14bd5c] [Current]
F    D      [Maximum-likelihood Fitting - Normal Distribution] [] [2010-10-19 16:16:41] [7f2363d2c77d3bf71367965cc53be730]
-    D        [Maximum-likelihood Fitting - Normal Distribution] [] [2010-10-19 16:21:07] [7f2363d2c77d3bf71367965cc53be730]
Feedback Forum
2010-10-24 13:44:50 [201022de16daa1dc0c172603d7d3cd57] [reply
We merken op dat als we alle 4 de vragen stellen we een waarde bekomen van 0,74. Dit is meer dan 0,70. Dit is ook meer dan de 0,62 uit de tabel. Dit wil zeggen dat het een goede waarde is en dat er een interne consistentie bestaat tussen deze vragen. We kunnen ook nog opmerken dat als we eender welke van de 4 vragen laten vallen de waarden zakken onder de 0,70. Maar dit zijn geen significante verschillen.
2010-10-24 13:47:35 [201022de16daa1dc0c172603d7d3cd57] [reply
Vorige feedback is niet van toepassing op deze computatie. Het is hier de bedoeling om via de Cronbach alfa te kijken of de vragen samen horen of niet. De student heeft hier al een deel van taak 3 opgelost.

Post a new message
Dataseries X:
23
24
22
20
24
27
28
27
24
23
24
27
27
28
27
23
24
28
27
25
19
24
20
28
26
23
23
20
11
24
25
23
18
20
20
24
23
25
28
26
26
23
22
24
21
20
22
20
25
20
22
23
25
23
23
22
24
25
21
12
17
20
23
23
20
28
24
24
24
24
28
25
21
25
25
18
17
26
28
21
27
22
21
25
22
23
26
19
25
21
13
24
25
26
25
25
22
21
23
25
24
21
21
25
22
20
20
23
28
23
28
24
18
20
28
21
21
25
19
18
21
22
24
15
28
26
23
26
20
22
20
23
22
24
23
22
26
23
27
23
21
26
23
21
27
19
23
25
23
22
22
25
25
28
28
20
25
19
25
22
18
20




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=86702&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=86702&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=86702&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'George Udny Yule' @ 72.249.76.132







ParameterEstimated ValueStandard Deviation
mean23.03703703703700.248588284947143
standard deviation3.164012316173860.175778462009659

\begin{tabular}{lllllllll}
\hline
Parameter & Estimated Value & Standard Deviation \tabularnewline
mean & 23.0370370370370 & 0.248588284947143 \tabularnewline
standard deviation & 3.16401231617386 & 0.175778462009659 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=86702&T=1

[TABLE]
[ROW][C]Parameter[/C][C]Estimated Value[/C][C]Standard Deviation[/C][/ROW]
[ROW][C]mean[/C][C]23.0370370370370[/C][C]0.248588284947143[/C][/ROW]
[ROW][C]standard deviation[/C][C]3.16401231617386[/C][C]0.175778462009659[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=86702&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=86702&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
mean23.03703703703700.248588284947143
standard deviation3.164012316173860.175778462009659



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')