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Description of Statistical Computation

Author's title

Author*Unverified author*
R Software Modulerwasp_babies.wasp
Title produced by softwareExercise 1.13
Date of computationSun, 12 Oct 2008 07:21:05 -0600
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/Oct/12/t1223817913otzk6j5d0xijd0g.htm/, Retrieved Sun, 19 May 2024 13:19:54 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=15461, Retrieved Sun, 19 May 2024 13:19:54 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact209

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
F     [Exercise 1.13] [Exercise 1.13 (Wo...] [2008-10-01 13:28:34] [b98453cac15ba1066b407e146608df68]
F R P     [Exercise 1.13] [Ziekenhuis met de...] [2008-10-12 13:21:05] [66d8ac62eef364ab40d20500903318ca] [Current]
Feedback Forum
2008-10-15 15:46:26 [Simon Meeusen] [reply] 
Antwoord 3 is goed. Het antwoord stond wel niet uitgeschreven in het Word doc.
Maar in de R module is het ongelijkheidsteken aangepast. Ook de titels zijn aangepast: van 'more than' naar 'fewer than'.
2008-10-16 15:59:40 [Dana Molenberghs] [reply] 
Code is goed aangepast. Ik zou alleen less than in plaats van fewer than nemen.
2008-10-17 09:22:48 [Davy De Nef] [reply] 
De R-Code is correct aangepast.
2008-10-19 11:56:51 [Bob Leysen] [reply] 
Antwoord niet uitgeschreven in word-document.
Vanboven staat unverified author, het werk is niet wetenschappelijk reproduceerbaar.
2008-10-19 12:00:50 [Bob Leysen] [reply] 
Antwoord is correct, het werd enkel niet uitgeschreven.
Helemaal vanboven staat unverified author.
2008-10-19 12:04:08 [Thomas Baken] [reply] 
De R-module is correct aangepast. Een gouden raad doch, ook hier meerdere malen op reproduce klikken is een verstandige zaak. De oplossing moet ook accuraat zijn en het kan zijn dat deze dagen veranderen naargelang je meermaals op reproduce klikt.
2008-10-19 17:42:20 [Yara Van Overstraeten] [reply] 
Het antwoord op deze vraag is correct.
In de R-code is het > teken veranderd in een < teken en de tekst is eveneens aangepast. De aanpassing van de tekst is niet noodzakelijk voor het bekomen van een juist resultaat, maar het is beter om de tabel correct te interpreteren.
2008-10-20 10:03:54 [Jef Keersmaekers] [reply] 
het antwoord is correct, enkel wordt de wijziging van de R-code niet vermeld in het Word-document

Post a new message

Dataset

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time4 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 & 4 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=15461&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]4 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=15461&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=15461&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 time4 seconds
R Server'Herman Ole Andreas Wold' @ 193.190.124.10:1001






Exercise 1.13 p. 14 (Introduction to Probability, 2nd ed.)
Number of simulated days365
Expected number of births in Large Hospital45
Expected number of births in Small Hospital15
Percentage of Male births per day(for which the probability is computed)0.6
#Females births in Large Hospital8290
#Males births in Large Hospital8135
#Female births in Small Hospital2743
#Male births in Small Hospital2732
Probability of fewer than 60 % of male births in Large Hospital0.893150684931507
Probability of fewer than 60 % of male births in Small Hospital0.684931506849315
#Days per Year when fewer than 60 % of male births occur in Large Hospital326
#Days per Year when fewer than 60 % of male births occur in Small Hospital250

\begin{tabular}{lllllllll}
\hline
Exercise 1.13 p. 14 (Introduction to Probability, 2nd ed.) \tabularnewline
Number of simulated days & 365 \tabularnewline
Expected number of births in Large Hospital & 45 \tabularnewline
Expected number of births in Small Hospital & 15 \tabularnewline
Percentage of Male births per day(for which the probability is computed) & 0.6 \tabularnewline
#Females births in Large Hospital & 8290 \tabularnewline
#Males births in Large Hospital & 8135 \tabularnewline
#Female births in Small Hospital & 2743 \tabularnewline
#Male births in Small Hospital & 2732 \tabularnewline
Probability of fewer than 60 % of male births in Large Hospital & 0.893150684931507 \tabularnewline
Probability of fewer than 60 % of male births in Small Hospital & 0.684931506849315 \tabularnewline
#Days per Year when fewer than 60 % of male births occur in Large Hospital & 326 \tabularnewline
#Days per Year when fewer than 60 % of male births occur in Small Hospital & 250 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=15461&T=1

[TABLE]
[ROW][C]Exercise 1.13 p. 14 (Introduction to Probability, 2nd ed.)[/C][/ROW]
[ROW][C]Number of simulated days[/C][C]365[/C][/ROW]
[ROW][C]Expected number of births in Large Hospital[/C][C]45[/C][/ROW]
[ROW][C]Expected number of births in Small Hospital[/C][C]15[/C][/ROW]
[ROW][C]Percentage of Male births per day(for which the probability is computed)[/C][C]0.6[/C][/ROW]
[ROW][C]#Females births in Large Hospital[/C][C]8290[/C][/ROW]
[ROW][C]#Males births in Large Hospital[/C][C]8135[/C][/ROW]
[ROW][C]#Female births in Small Hospital[/C][C]2743[/C][/ROW]
[ROW][C]#Male births in Small Hospital[/C][C]2732[/C][/ROW]
[ROW][C]Probability of fewer than 60 % of male births in Large Hospital[/C][C]0.893150684931507[/C][/ROW]
[C]Probability of fewer than 60 % of male births in Small Hospital[/C][C]0.684931506849315[/C][/ROW]
[ROW][C]#Days per Year when fewer than 60 % of male births occur in Large Hospital[/C][C]326[/C][/ROW]
[C]#Days per Year when fewer than 60 % of male births occur in Small Hospital[/C][C]250[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=15461&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=15461&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:

Exercise 1.13 p. 14 (Introduction to Probability, 2nd ed.)
Number of simulated days365
Expected number of births in Large Hospital45
Expected number of births in Small Hospital15
Percentage of Male births per day(for which the probability is computed)0.6
#Females births in Large Hospital8290
#Males births in Large Hospital8135
#Female births in Small Hospital2743
#Male births in Small Hospital2732
Probability of fewer than 60 % of male births in Large Hospital0.893150684931507
Probability of fewer than 60 % of male births in Small Hospital0.684931506849315
#Days per Year when fewer than 60 % of male births occur in Large Hospital326
#Days per Year when fewer than 60 % of male births occur in Small Hospital250


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = 365 ; par2 = 45 ; par3 = 15 ; par4 = 0.6 ;
Parameters (R input):
par1 = 365 ; par2 = 45 ; par3 = 15 ; par4 = 0.6 ;
R code (references can be found in the software module):
par1 <- as.numeric(par1) 
par2 <- as.numeric(par2) 
par3 <- as.numeric(par3) 
par4 <- as.numeric(par4) 
numsuccessbig <- 0 
numsuccesssmall <- 0 
bighospital <- array(NA,dim=c(par1,par2)) 
smallhospital <- array(NA,dim=c(par1,par3)) 
bigprob <- array(NA,dim=par1) 
smallprob <- array(NA,dim=par1) 
for (i in 1:par1) { 
bighospital[i,] <- sample(c('F','M'),par2,replace=TRUE) 
if (as.matrix(table(bighospital[i,]))[2] < par4*par2) numsuccessbig = numsuccessbig + 1 
bigprob[i] <- numsuccessbig/i 
smallhospital[i,] <- sample(c('F','M'),par3,replace=TRUE) 
if (as.matrix(table(smallhospital[i,]))[2] < par4*par3) numsuccesssmall = numsuccesssmall + 1 
smallprob[i] <- numsuccesssmall/i 
} 
tbig <- as.matrix(table(bighospital)) 
tsmall <- as.matrix(table(smallhospital)) 
tbig 
tsmall 
numsuccessbig/par1 
bigprob[par1] 
numsuccesssmall/par1 
smallprob[par1] 
numsuccessbig/par1*365 
bigprob[par1]*365 
numsuccesssmall/par1*365 
smallprob[par1]*365 
bitmap(file='test1.png') 
plot(bigprob,col=2,main='Waarschijnlijkheid in het grote ziekenhuis',xlab='#simulated days',ylab='probability') 
dev.off() 
bitmap(file='test2.png') 
plot(smallprob,col=2,main='Waarschijnlijkheid in het kleine ziekenhuis',xlab='#simulated days',ylab='probability') 
dev.off() 
load(file='createtable') 
a<-table.start() 
a<-table.row.start(a) 
a<-table.element(a,'Exercise 1.13 p. 14 (Introduction to Probability, 2nd ed.)',2,TRUE) 
a<-table.row.end(a) 
a<-table.row.start(a) 
a<-table.element(a,'Number of simulated days',header=TRUE) 
a<-table.element(a,par1) 
a<-table.row.end(a) 
a<-table.row.start(a) 
a<-table.element(a,'Expected number of births in Large Hospital',header=TRUE) 
a<-table.element(a,par2) 
a<-table.row.end(a) 
a<-table.row.start(a) 
a<-table.element(a,'Expected number of births in Small Hospital',header=TRUE) 
a<-table.element(a,par3) 
a<-table.row.end(a) 
a<-table.row.start(a) 
a<-table.element(a,'Percentage of Male births per day
(for which the probability is computed)',header=TRUE) 
a<-table.element(a,par4) 
a<-table.row.end(a) 
a<-table.row.start(a) 
a<-table.element(a,'#Females births in Large Hospital',header=TRUE) 
a<-table.element(a,tbig[1]) 
a<-table.row.end(a) 
a<-table.row.start(a) 
a<-table.element(a,'#Males births in Large Hospital',header=TRUE) 
a<-table.element(a,tbig[2]) 
a<-table.row.end(a) 
a<-table.row.start(a) 
a<-table.element(a,'#Female births in Small Hospital',header=TRUE) 
a<-table.element(a,tsmall[1]) 
a<-table.row.end(a) 
a<-table.row.start(a) 
a<-table.element(a,'#Male births in Small Hospital',header=TRUE) 
a<-table.element(a,tsmall[2]) 
a<-table.row.end(a) 
a<-table.row.start(a) 
dum1 <- paste('Probability of fewer than', par4*100, sep=' ') 
dum <- paste(dum1, '% of male births in Large Hospital', sep=' ') 
a<-table.element(a, dum, header=TRUE) 
a<-table.element(a, bigprob[par1]) 
a<-table.row.end(a) 
dum <- paste(dum1, '% of male births in Small Hospital', sep=' ') 
a<-table.element(a, dum, header=TRUE) 
a<-table.element(a, smallprob[par1]) 
a<-table.row.end(a) 
a<-table.row.start(a) 
dum1 <- paste('#Days per Year when fewer than', par4*100, sep=' ') 
dum <- paste(dum1, '% of male births occur in Large Hospital', sep=' ') 
a<-table.element(a, dum, header=TRUE) 
a<-table.element(a, bigprob[par1]*365) 
a<-table.row.end(a) 
dum <- paste(dum1, '% of male births occur in Small Hospital', sep=' ') 
a<-table.element(a, dum, header=TRUE) 
a<-table.element(a, smallprob[par1]*365) 
a<-table.row.end(a) 
a<-table.end(a) 
table.save(a,file='mytable.tab')