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Description of Statistical Computation

Author's title

greater number of days with fewer than 60 percent of the babies born were b...

Author*The author of this computation has been verified*
R Software Modulerwasp_babies.wasp
Title produced by softwareExercise 1.13
Date of computationMon, 13 Oct 2008 11:29:04 -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/13/t1223919258aljze2b5kyvpsai.htm/, Retrieved Sun, 19 May 2024 15:40:40 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=15783, Retrieved Sun, 19 May 2024 15:40:40 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact184

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] [greater number of...] [2008-10-13 17:29:04] [5f3e73ccf1ddc75508eed47fa51813d3] [Current]
- R P       [Exercise 1.13] [Exercise 1.13] [2008-10-18 08:06:48] [6743688719638b0cb1c0a6e0bf433315]
Feedback Forum
2008-10-15 16:05:28 [Gert De la Haye] [reply] 
juist de vraag geïnterpreteerd en goed gevonden waar de veranderingen moesten aangebracht worden in de R-code!
2008-10-15 16:10:29 [Gert De la Haye] [reply] 
gevonden waar er in de R-code veranderingen moesten aangebracht worden, maar volgens mij kloppen de grafieken niet echt ....
2008-10-18 08:21:25 [David Buelens] [reply] 
De vraag is goed begrepen en de nodige veranderingen zijn correct in de R-code aangebracht. De if structuren en de te genereren teksten zijn correct aangepast .

De student is wel vergeten de titels van de grafieken te vertalen.
R-code (geheel): http://www.freestatistics.org/blog/index.php?v=date/2008/Oct/13/t12238824917vrjfjfg2l12dx7.htm/

R-code (relevant deel):
plot(bigprob,col=2,main='Waarschijnlijkheid in het grote ziekenhuis',xlab='#gesimuleerd aantal dagen',ylab='waarschijnlijkheid')
dev.off()
bitmap(file='test2.png')
plot(smallprob,col=2,main='Waarschijnlijkheid in het kleine ziekenhuis',xlab='#gesimuleerd aantal dagen',ylab='waarschijnlijkheid')
dev.off()

De orginele grafieken geven ook een foutief beeld van de waarschijnlijkheden. Als men het aantal dagen op 3650 zet geven de grafieken een correctere waarschijnlijkheid.

grafieken: http://www.freestatistics.org/blog/index.php?v=date/2008/Oct/13/t12238824917vrjfjfg2l12dx7.htm/


2008-10-19 15:59:00 [Bart Haemels] [reply] 
Opdrecht is correct geinterpreteerd. zowel de tekst als de tekens zijn aangepast waardoor de oplossing correct is. De Titels van de grafieken zijn niet vertaald, maar dit is een simpele vertaling dus niet echt belangrijk. De student laat duidelijk zien dat hij de R code begrijpt aangezien hij beide aanpassingen correct heeft uitgevoerd. De grafieken zouden wel een mooier en correcter beeld geven als de tijdspanne was verlengd naar 10 jaar.
2008-10-19 16:43:14 [Bonifer Spillemaeckers] [reply] 
De R-code werd op de juiste manier aangepast aan de veranderde vraagstelling.
(> wordt <)
(more wordt less)

Om een betere voorstelling van de waarschijnlijkheid in de grafieken te verkrijgen, zou best de parameter (number of simulated days) verhoogd worden.
2008-10-20 18:55:45 [Steven Hulsmans] [reply] 
Zeer goed gemaakt deze opdracht. Enkel de grafieken kregen een foute benaming, maar voor de rest goed inzicht in de opdracht.
2008-10-20 19:35:27 [Evelyne Slegers] [reply] 
De R-code is correct aangepast. Het groter dan teken moet veranderd worden in het kleiner dan teken en more wordt less. Het aantal dagen kan men ook het beste instellen op 3650, zo krijg je een nauwkeuriger resultaat.

De grafiektitels moesten ook nog wel vertaald worden en dat doe je ook in de r-code: plot(bigprob,col=2,main='Probability in Large Hospital',xlab='#simulated days',ylab='probability') --> veranderen in 'Waarschijnlijkheid in groot ziekenhuis'

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Dataset

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'Gwilym Jenkins' @ 72.249.127.135

\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 & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=15783&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]'Gwilym Jenkins' @ 72.249.127.135[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=15783&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=15783&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'Gwilym Jenkins' @ 72.249.127.135






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 Hospital8233
#Males births in Large Hospital8192
#Female births in Small Hospital2702
#Male births in Small Hospital2773
Probability of less than 60 % of male births in Large Hospital0.898630136986301
Probability of less than 60 % of male births in Small Hospital0.654794520547945
#Days per Year when less than 60 % of male births occur in Large Hospital328
#Days per Year when less than 60 % of male births occur in Small Hospital239

\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 & 8233 \tabularnewline
#Males births in Large Hospital & 8192 \tabularnewline
#Female births in Small Hospital & 2702 \tabularnewline
#Male births in Small Hospital & 2773 \tabularnewline
Probability of less than 60 % of male births in Large Hospital & 0.898630136986301 \tabularnewline
Probability of less than 60 % of male births in Small Hospital & 0.654794520547945 \tabularnewline
#Days per Year when less than 60 % of male births occur in Large Hospital & 328 \tabularnewline
#Days per Year when less than 60 % of male births occur in Small Hospital & 239 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=15783&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]8233[/C][/ROW]
[ROW][C]#Males births in Large Hospital[/C][C]8192[/C][/ROW]
[ROW][C]#Female births in Small Hospital[/C][C]2702[/C][/ROW]
[ROW][C]#Male births in Small Hospital[/C][C]2773[/C][/ROW]
[ROW][C]Probability of less than 60 % of male births in Large Hospital[/C][C]0.898630136986301[/C][/ROW]
[C]Probability of less than 60 % of male births in Small Hospital[/C][C]0.654794520547945[/C][/ROW]
[ROW][C]#Days per Year when less than 60 % of male births occur in Large Hospital[/C][C]328[/C][/ROW]
[C]#Days per Year when less than 60 % of male births occur in Small Hospital[/C][C]239[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=15783&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=15783&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 Hospital8233
#Males births in Large Hospital8192
#Female births in Small Hospital2702
#Male births in Small Hospital2773
Probability of less than 60 % of male births in Large Hospital0.898630136986301
Probability of less than 60 % of male births in Small Hospital0.654794520547945
#Days per Year when less than 60 % of male births occur in Large Hospital328
#Days per Year when less than 60 % of male births occur in Small Hospital239


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='Probability in Large Hospital',xlab='#simulated days',ylab='probability')
dev.off()
bitmap(file='test2.png')
plot(smallprob,col=2,main='Probability in Small Hospital',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 less 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 less 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')