FreeStatistics.org

Free Statistics

of Irreproducible Research!

Description of Statistical Computation

Author's title

Author*Unverified author*
R Software Modulerwasp_fitdistrnorm.wasp
Title produced by softwareMaximum-likelihood Fitting - Normal Distribution
Date of computationWed, 12 Nov 2008 10:58:06 -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/t1226512728644ckso0y2vddfq.htm/, Retrieved Sun, 19 May 2024 09:24:38 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=24330, Retrieved Sun, 19 May 2024 09:24:38 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact162

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Bivariate Kernel Density Estimation] [Bel20 en Downjones] [2008-11-12 17:23:23] [74be16979710d4c4e7c6647856088456]
F RMPD    [Maximum-likelihood Fitting - Normal Distribution] [kelly] [2008-11-12 17:58:06] [d41d8cd98f00b204e9800998ecf8427e] [Current]
F    D      [Maximum-likelihood Fitting - Normal Distribution] [normality] [2008-11-13 22:37:20] [74be16979710d4c4e7c6647856088456]
F RMPD      [Box-Cox Linearity Plot] [box cox linearity...] [2008-11-13 22:41:16] [629740e107727857ef4896c7a406110f]
F RMPD      [Testing Mean with known Variance - Critical Value] [quality pork test Q1] [2008-11-13 22:49:57] [629740e107727857ef4896c7a406110f]
F RMPD      [Testing Mean with known Variance - Critical Value] [Pork quality test Q3] [2008-11-13 22:54:17] [629740e107727857ef4896c7a406110f]
F RMPD      [Testing Mean with known Variance - Critical Value] [Pork quality test Q5] [2008-11-13 22:57:20] [629740e107727857ef4896c7a406110f]
F RMPD      [Testing Mean with known Variance - Critical Value] [Pork quality test Q4] [2008-11-13 22:58:54] [629740e107727857ef4896c7a406110f]
Feedback Forum
2008-11-15 14:08:08 [Hundra Smet] [reply] 
de waarde van de data (= staafdiagram) ligt niet op de normaalverdeling.
de benadering is dus niet zo correct.
2008-11-20 10:34:22 [Hannes Van Hoof] [reply] 
Op de grafiek is duidelijk te zien dat de data niet normaal verdeeld zijn en dit dus geen goede benadering is voor y.
De student heeft dus een correct antwoord gegeven.
2008-11-24 21:04:09 [Jonas Scheltjens] [reply] 
Q5: De student is hier heel erg beknopt in zijn besluit. Dit zou beter aangevuld moeten worden. De bedoeling van de getoonde grafiek is kijken of door de methode “Maximum-likelihood Normal Distribution Fitting” te kijken of de gegevens al dan niet normaal verdeeld zijn. In de grafiek zijn zowel een histogram als de lijn die de normaalverdeling tracht na te bootsen gegeven. In deze opgave (met deze gegevens) is er geen normaalverdeling merkbaar. De gegevens lijken in de histogram (zonder de eerste staaf) wel een beetje op het histogram van een normaalverdeling, en ook de lijn neemt ongeveer de vorm aan van een normaalverdeling maar is het zeker niet . Verder zijn er geen elementen die zouden duiden opdat de gegevens normaal verdeeld zijn.

Post a new message

Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
2174,56
2196,72
2350,44
2440,25
2408,64
2472,81
2407,6
2454,62
2448,05
2497,84
2645,64
2756,76
2849,27
2921,44
2981,85
3080,58
3106,22
3119,31
3061,26
3097,31
3161,69
3257,16
3277,01
3295,32
3363,99
3494,17
3667,03
3813,06
3917,96
3895,51
3801,06
3570,12
3701,61
3862,27
3970,1
4138,52
4199,75
4290,89
4443,91
4502,64
4356,98
4591,27
4696,96
4621,4
4562,84
4202,52
4296,49
4435,23
4105,18
4116,68
3844,49
3720,98
3674,4
3857,62
3801,06
3504,37
3032,6
3047,03
2962,34
2197,82

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'Herman Ole Andreas Wold' @ 193.190.124.10:1001

\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 & 'Herman Ole Andreas Wold' @ 193.190.124.10:1001 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=24330&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]'Herman Ole Andreas Wold' @ 193.190.124.10:1001[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=24330&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=24330&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'Herman Ole Andreas Wold' @ 193.190.124.10:1001






ParameterEstimated ValueStandard Deviation
mean3445.3866666666793.4984444976572
standard deviation724.2358368714566.1133841346874

\begin{tabular}{lllllllll}
\hline
Parameter & Estimated Value & Standard Deviation \tabularnewline
mean & 3445.38666666667 & 93.4984444976572 \tabularnewline
standard deviation & 724.23583687145 & 66.1133841346874 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=24330&T=1

[TABLE]
[ROW][C]Parameter[/C][C]Estimated Value[/C][C]Standard Deviation[/C][/ROW]
[ROW][C]mean[/C][C]3445.38666666667[/C][C]93.4984444976572[/C][/ROW]
[ROW][C]standard deviation[/C][C]724.23583687145[/C][C]66.1133841346874[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=24330&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=24330&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
mean3445.3866666666793.4984444976572
standard deviation724.2358368714566.1133841346874


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')