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Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_fitdistrnorm.wasp
Title produced by softwareML Fitting and QQ Plot- Normal Distribution
Date of computationTue, 15 Dec 2015 19:23:18 +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/2015/Dec/15/t14502074694z4s551mp7020bx.htm/, Retrieved Sat, 18 May 2024 15:19:17 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=286574, Retrieved Sat, 18 May 2024 15:19:17 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact75
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [ML Fitting and QQ Plot- Normal Distribution] [Ch3-Task 4] [2015-12-15 19:23:18] [c7d580dabf700704a3d6c2773d62a8e4] [Current]
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Dataseries X:
10.61611368
5.773520964
5.435468012
5.004518301
11.16772912
16.77314471
22.29310685
10.00832407
12.05655816
11.8424823
6.169754177
7.547282607
14.07685145
5.28382663
14.96433025
9.806885599
11.8906803
10.49426639
10.10284765
13.96319894
8.89191318
26.2442125
17.14985534
15.13469758
5.166794544
20.02708327
12.41173885
11.57815459
9.177076706
27.9603107
16.02501493
8.784850908
16.93166942
9.347431333
10.12121408
10.12692262
11.8654581
16.80107549
10.5620948
8.571286351
10.90863991
11.9618082
18.37478511
16.04334642
4.482123468
9.52997116
8.604336723
13.29770689
11.73478967
10.29672477
18.5331357
28.02550185
15.60088434
12.60550767
5.090117237
16.33190188
22.71702971
9.995660779
4.598520695
9.88902864
10.14286822
21.08280773
7.824131584
25.33718073
17.64001004
7.247846121
12.34126855
13.89037932
11.00075534
6.113769662
9.614310077
13.28011599
15.59235291
15.7114576
13.14177796
8.027229026
15.49577684
11.47622212
9.542594866
9.477120902
13.69043773
8.33817871
17.72886044
13.71072553
15.37478977
11.24223497
11.56521439
8.873751581
8.08847997
6.844212534
8.982303719
31.78050585
11.38850367
9.369709723
11.82421173
9.117101366
5.332529081
8.579745331
9.001707792
9.62461563
13.78259713
8.717333655
9.90615726
15.94263146
7.286104985
8.545388091
15.30910573
9.367374467
4.563804189
19.06948435
14.44752663
6.717587033
9.604492487
11.32798844
5.760717547
10.0036697
10.9252562
7.604866672
9.106437854
23.76867397
10.88838227
6.793605049
11.73813002
11.60512197
5.757851231
6.201616162
16.55338963
26.65573451
7.166237678
21.47319876
10.2032619
11.59229594
14.1339905
9.818400203
9.745122775
17.59019602
14.47728425
13.68280254
5.047200916
15.00059576
21.47726673
14.82000472
6.890420996
15.14415264
7.947405154
12.7864518
6.322144045
11.67799358
14.57893948
9.62530019




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time3 seconds
R Server'George Udny Yule' @ yule.wessa.net

\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 & 3 seconds \tabularnewline
R Server & 'George Udny Yule' @ yule.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=286574&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]3 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'George Udny Yule' @ yule.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=286574&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=286574&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 time3 seconds
R Server'George Udny Yule' @ yule.wessa.net







ParameterEstimated ValueStandard Deviation
mean12.13573837765330.425049055388682
standard deviation5.205766506771280.300555069402274

\begin{tabular}{lllllllll}
\hline
Parameter & Estimated Value & Standard Deviation \tabularnewline
mean & 12.1357383776533 & 0.425049055388682 \tabularnewline
standard deviation & 5.20576650677128 & 0.300555069402274 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=286574&T=1

[TABLE]
[ROW][C]Parameter[/C][C]Estimated Value[/C][C]Standard Deviation[/C][/ROW]
[ROW][C]mean[/C][C]12.1357383776533[/C][C]0.425049055388682[/C][/ROW]
[ROW][C]standard deviation[/C][C]5.20576650677128[/C][C]0.300555069402274[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=286574&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=286574&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
mean12.13573837765330.425049055388682
standard deviation5.205766506771280.300555069402274



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)
library(car)
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$estimate[2])^2),min(x),max(x),add=T)
dev.off()
bitmap(file='test3.png')
qqPlot(x,dist='norm',main='QQ plot (Normal) with confidence intervals')
grid()
dev.off()
load(file='createtable')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Parameter',1,TRUE)
a<-table.element(a,'Estimated Value',1,TRUE)
a<-table.element(a,'Standard Deviation',1,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'mean',header=TRUE)
a<-table.element(a,r$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')