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Description of Statistical Computation

Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_babies.wasp
Title produced by softwareExercise 1.13
Date of computationSat, 11 Oct 2008 08:49:54 -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/11/t12237367190d0zyxdlv29ppuy.htm/, Retrieved Sat, 18 May 2024 07:50:05 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=15330, Retrieved Sat, 18 May 2024 07:50:05 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact152

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       [Exercise 1.13] [Vraag3, resultaat 1] [2008-10-11 14:49:54] [a7e3b1792c54a9193ec92d9d3f5c5777] [Current]
Feedback Forum
2008-10-17 15:27:42 [Kim Huysmans] [reply] 
Door alleen de 'more' te veranderen in 'less' gaat slechts alleen de tekst veranderen en niet de berekening. Hiervoor moet je ook het 'groter dan' teken gaan vervangen door het 'kleiner dan' teken. Hierdoor gaat men ook de berekening aangepassen. Ook de assen en de grafieklabels moet je nog vertalen/aanpassen:
plot(bigprob,col=2,main='Probability in Large Hospital',xlab='#simulated days',ylab='probability') dit moet dan worden: plot(bigprob,col=2,main=Waarschijnlijkheid in het groot ziekenhuis',xlab='#gesimuleerde dagen,ylab='Waarschijnlijkheid'). Hetzelfde moet dan ook gebeuren voor het kleine ziekenhuis.
2008-10-20 14:38:59 [Michael Van Spaandonck] [reply] 
0
2008-10-20 14:39:17 [Michael Van Spaandonck] [reply] 
0
2008-10-20 14:39:51 [Michael Van Spaandonck] [reply] 
0
2008-10-20 14:41:54 [Michael Van Spaandonck] [reply] 
Zoals bovenstaande student al heeft aangegeven is het niet voldoende om alleen de labels aan te passen. Ook de berekening moet aangepast worden, > moet namelijk vervangen worden door <.
Bovendien heeft de beoordeelde student alleen de onderste 2 labels aangepast, terwijl labels 3 en 4 langs onder ook aangepast dienden te worden.

Ik denk niet dat het nodig is om de labels daadwerkelijk te vertalen van het Engels naar het Nederlands zoals bovenstaande student voorstelt. Wat men volgens mij hiermee bedoelde is dat de tekst in de labels labels aangepast dienden te worden om overeen te komen met de nieuwe berekening.
2008-10-20 17:59:09 [Jens Peeters] [reply] 
Het is inderdaad zo dat men niet mag vergeten om het teken te veranderen. ik denk dat vele dit vergeten zijn, ik inclusief.
2008-10-20 18:29:28 [Martjin De Swert] [reply] 
Ik sluit mij aan bij mijn medestudenten.

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 time6 seconds
R Server'Sir Ronald Aylmer Fisher' @ 193.190.124.24

\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 & 6 seconds \tabularnewline
R Server & 'Sir Ronald Aylmer Fisher' @ 193.190.124.24 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=15330&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]6 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Sir Ronald Aylmer Fisher' @ 193.190.124.24[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=15330&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=15330&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 time6 seconds
R Server'Sir Ronald Aylmer Fisher' @ 193.190.124.24






Exercise 1.13 p. 14 (Introduction to Probability, 2nd ed.)
Number of simulated days3650
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 Hospital82536
#Males births in Large Hospital81714
#Female births in Small Hospital27326
#Male births in Small Hospital27424
Probability of less than 60 % of male births in Large Hospital0.0635616438356164
Probability of less than 60 % of male births in Small Hospital0.160821917808219
#Days per Year when less than 60 % of male births occur in Large Hospital23.2
#Days per Year when less than 60 % of male births occur in Small Hospital58.7

\begin{tabular}{lllllllll}
\hline
Exercise 1.13 p. 14 (Introduction to Probability, 2nd ed.) \tabularnewline
Number of simulated days & 3650 \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 & 82536 \tabularnewline
#Males births in Large Hospital & 81714 \tabularnewline
#Female births in Small Hospital & 27326 \tabularnewline
#Male births in Small Hospital & 27424 \tabularnewline
Probability of less than 60 % of male births in Large Hospital & 0.0635616438356164 \tabularnewline
Probability of less than 60 % of male births in Small Hospital & 0.160821917808219 \tabularnewline
#Days per Year when less than 60 % of male births occur in Large Hospital & 23.2 \tabularnewline
#Days per Year when less than 60 % of male births occur in Small Hospital & 58.7 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=15330&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]3650[/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]82536[/C][/ROW]
[ROW][C]#Males births in Large Hospital[/C][C]81714[/C][/ROW]
[ROW][C]#Female births in Small Hospital[/C][C]27326[/C][/ROW]
[ROW][C]#Male births in Small Hospital[/C][C]27424[/C][/ROW]
[ROW][C]Probability of less than 60 % of male births in Large Hospital[/C][C]0.0635616438356164[/C][/ROW]
[C]Probability of less than 60 % of male births in Small Hospital[/C][C]0.160821917808219[/C][/ROW]
[ROW][C]#Days per Year when less than 60 % of male births occur in Large Hospital[/C][C]23.2[/C][/ROW]
[C]#Days per Year when less than 60 % of male births occur in Small Hospital[/C][C]58.7[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=15330&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=15330&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 days3650
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 Hospital82536
#Males births in Large Hospital81714
#Female births in Small Hospital27326
#Male births in Small Hospital27424
Probability of less than 60 % of male births in Large Hospital0.0635616438356164
Probability of less than 60 % of male births in Small Hospital0.160821917808219
#Days per Year when less than 60 % of male births occur in Large Hospital23.2
#Days per Year when less than 60 % of male births occur in Small Hospital58.7


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = 3650 ; par2 = 45 ; par3 = 15 ; par4 = 0.6 ;
Parameters (R input):
par1 = 3650 ; 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')