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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 computationThu, 09 Oct 2008 09:17:49 -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/09/t1223565512el4kqrojnh5iyst.htm/, Retrieved Sat, 18 May 2024 04:24:49 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=15113, Retrieved Sat, 18 May 2024 04:24:49 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact180

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] [-60% male] [2008-10-09 15:17:49] [d96f761aa3e94002e7c05c3c847d2c79] [Current]
Feedback Forum
2008-10-15 15:36:35 [Tamara Witters] [reply] 


Dit is een juiste berekening.
Voor deze vraag moest je de R code veranderen.
Je moest het teken '>' in '<' veranderen


Dit is de oorspronkelijke versie:

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)


Dit is de verbeterde versie:

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)
2008-10-17 15:35:14 [Julie Leurentop] [reply] 
De berekening is correct. Je hebt de titel van de grafieken juist vertaald en de aanpassing van de code goed doorgevoerd. Tamara heeft in haar commentaar de juiste bewerkingen aangehaald, ze is enkel het teken voor par4 vergeten te veranderen in < ipv >.
2008-10-18 12:37:27 [Pieter Broos] [reply] 
perfecte verandering van de R-code, niets aan toe te voegen!
2008-10-19 13:50:22 [Nathalie Koulouris] [reply] 
De student heeft de R code juist veranderd. Hij heeft de titel aangepast en de tekens veranderd.
2008-10-19 14:55:01 [Evelyn Ongena] [reply] 
R code is perfect veranderd: > werd <
en in de tekst is ook 'more' veranderd naar 'fewer'
2008-10-19 16:25:35 [Bonifer Spillemaeckers] [reply] 
Het bekomen resultaat is correct, de R-code werd juist aangepast.
(> wordt <)
(more wordt less)

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 time2 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 & 2 seconds \tabularnewline
R Server & 'Sir Ronald Aylmer Fisher' @ 193.190.124.24 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=15113&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]'Sir Ronald Aylmer Fisher' @ 193.190.124.24[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=15113&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=15113&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'Sir Ronald Aylmer Fisher' @ 193.190.124.24






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 Hospital8365
#Males births in Large Hospital8060
#Female births in Small Hospital2729
#Male births in Small Hospital2746
Probability of fewer than 60 % of male births in Large Hospital0.898630136986301
Probability of fewer than 60 % of male births in Small Hospital0.665753424657534
#Days per Year when fewer than 60 % of male births occur in Large Hospital328
#Days per Year when fewer than 60 % of male births occur in Small Hospital243

\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 & 8365 \tabularnewline
#Males births in Large Hospital & 8060 \tabularnewline
#Female births in Small Hospital & 2729 \tabularnewline
#Male births in Small Hospital & 2746 \tabularnewline
Probability of fewer than 60 % of male births in Large Hospital & 0.898630136986301 \tabularnewline
Probability of fewer than 60 % of male births in Small Hospital & 0.665753424657534 \tabularnewline
#Days per Year when fewer than 60 % of male births occur in Large Hospital & 328 \tabularnewline
#Days per Year when fewer than 60 % of male births occur in Small Hospital & 243 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=15113&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]8365[/C][/ROW]
[ROW][C]#Males births in Large Hospital[/C][C]8060[/C][/ROW]
[ROW][C]#Female births in Small Hospital[/C][C]2729[/C][/ROW]
[ROW][C]#Male births in Small Hospital[/C][C]2746[/C][/ROW]
[ROW][C]Probability of fewer than 60 % of male births in Large Hospital[/C][C]0.898630136986301[/C][/ROW]
[C]Probability of fewer than 60 % of male births in Small Hospital[/C][C]0.665753424657534[/C][/ROW]
[ROW][C]#Days per Year when fewer than 60 % of male births occur in Large Hospital[/C][C]328[/C][/ROW]
[C]#Days per Year when fewer than 60 % of male births occur in Small Hospital[/C][C]243[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=15113&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=15113&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 Hospital8365
#Males births in Large Hospital8060
#Female births in Small Hospital2729
#Male births in Small Hospital2746
Probability of fewer than 60 % of male births in Large Hospital0.898630136986301
Probability of fewer than 60 % of male births in Small Hospital0.665753424657534
#Days per Year when fewer than 60 % of male births occur in Large Hospital328
#Days per Year when fewer than 60 % of male births occur in Small Hospital243


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 groot ziekenhuis',xlab='#simulated days',ylab='probability') 
dev.off() 
bitmap(file='test2.png') 
plot(smallprob,col=2,main='Waarschijnlijkheid in klein 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')