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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 computationMon, 13 Oct 2008 04:57:22 -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/t1223895505qypnadto9wct6u0.htm/, Retrieved Wed, 29 May 2024 00:11:22 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=15642, Retrieved Wed, 29 May 2024 00:11:22 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact160

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] [oef 1.13 vraag 3] [2008-10-13 10:57:22] [40845526110da2d5a5bf7b165da84e03] [Current]
Feedback Forum
2008-10-15 15:18:26 [Veerle Jackers] [reply] 
Hier heb je je vergist. Je hebt in de parameters 0.8 (80%) laten staan, terwijl het gaat over 60%. Bovendien heb je de R code niet voldoende veranderd. Enkel more vervangen door less, maar de > niet vervangen door <, aangezien het gaat over MINDER dan 60% jongens, terwijl het eerst MEER dan 60% was. Zo heb je natuurlijk een compleet andere oplossing.
  2008-10-15 15:21:48 [Veerle Jackers] [reply] 
Dit zou juist moeten zijn:
http://www.freestatistics.org/blog/date/2008/Oct/08/t12234820800y7mncc697jdg11.htm
2008-10-18 14:31:01 [Dries Van Gheluwe] [reply] 
De oplossing heeft niets te maken met less en more than. Je moet in de if clausule van het grote hospitaal het het groter-dan-teken vervangen voor de parameters (> par4*par2) naar een kleiner-dan-teken (< par4*par2). Hetzelfde doe je voor de if-clausule voor het kleine hospitaal.
2008-10-20 11:03:54 [Karen Van den Broeck] [reply] 
2008-10-20 11:08:26 [Karen Van den Broeck] [reply] 
Eerst en vooral moet je 80% vervangen door 60%. Je moet hier ook > veranderen in < dan. Dit wil zeggen dat de logica verandert en dus ook de berekening.
Bij het grote hospitaal moet je in de if-clausule de (>par4*par2)vervangen door <
2008-10-20 19:35:01 [Thi Thanh Hoang] [reply] 
Zoals de collega's hierboven vermeld hebben, ben je vergeten in de parameter de percentages van de geboortes terug te veranderen naar 0.6, evenals de 'groter dan' teken in de R-code. Een goed advies is om misschien eerst je oplossingen te overlopen en zien of het klopt met wat er gevraagd werd. In de voorgaande oefening was je oplossing namelijk: 0% kans dat er meer dan 80 % jongens geboren worden in de grote ziekenhuis. In deze oefening wordt er eigenlijk het omgekeerde gevraagd (want je hebt de percentage niet veranderd), nl. waar er minder jongens geboren wordt. Jou oplossing was hier ook 0 %... je ziet dus dat dit niet logisch is. Een fout die te voorkomen was.
2008-10-20 22:13:53 [Steven Symons] [reply] 
de 80% van vraag 2 moet je inderdaad terug wijzigen in 60%, want de opgave vraag naar het aantal dagen waarin minder dan 60% van de geboren baby's jongens zijn.
daarna moet je de R-code veranderen
'more' is correct vervangen door 'less'
verder moet je ook het '>-teken' vervangen door het '<-teken'
ook de titels moesten worden vertaald naar het nederlands: 'waarschijnlijkheid in het grote ziekenhuis' & ' waarschijnlijkheid in het kleine 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 time4 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 & 4 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=15642&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]'Gwilym Jenkins' @ 72.249.127.135[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=15642&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=15642&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'Gwilym Jenkins' @ 72.249.127.135






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)0.8
#Females births in Large Hospital81924
#Males births in Large Hospital82326
#Female births in Small Hospital27447
#Male births in Small Hospital27303
Probability of less than 80 % of male births in Large Hospital0
Probability of less than 80 % of male births in Small Hospital0.00301369863013699
#Days per Year when less than 80 % of male births occur in Large Hospital0
#Days per Year when less than 80 % of male births occur in Small Hospital1.1

\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) & 0.8 \tabularnewline
#Females births in Large Hospital & 81924 \tabularnewline
#Males births in Large Hospital & 82326 \tabularnewline
#Female births in Small Hospital & 27447 \tabularnewline
#Male births in Small Hospital & 27303 \tabularnewline
Probability of less than 80 % of male births in Large Hospital & 0 \tabularnewline
Probability of less than 80 % of male births in Small Hospital & 0.00301369863013699 \tabularnewline
#Days per Year when less than 80 % of male births occur in Large Hospital & 0 \tabularnewline
#Days per Year when less than 80 % of male births occur in Small Hospital & 1.1 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=15642&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]0.8[/C][/ROW]
[ROW][C]#Females births in Large Hospital[/C][C]81924[/C][/ROW]
[ROW][C]#Males births in Large Hospital[/C][C]82326[/C][/ROW]
[ROW][C]#Female births in Small Hospital[/C][C]27447[/C][/ROW]
[ROW][C]#Male births in Small Hospital[/C][C]27303[/C][/ROW]
[ROW][C]Probability of less than 80 % of male births in Large Hospital[/C][C]0[/C][/ROW]
[C]Probability of less than 80 % of male births in Small Hospital[/C][C]0.00301369863013699[/C][/ROW]
[ROW][C]#Days per Year when less than 80 % of male births occur in Large Hospital[/C][C]0[/C][/ROW]
[C]#Days per Year when less than 80 % of male births occur in Small Hospital[/C][C]1.1[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=15642&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=15642&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)0.8
#Females births in Large Hospital81924
#Males births in Large Hospital82326
#Female births in Small Hospital27447
#Male births in Small Hospital27303
Probability of less than 80 % of male births in Large Hospital0
Probability of less than 80 % of male births in Small Hospital0.00301369863013699
#Days per Year when less than 80 % of male births occur in Large Hospital0
#Days per Year when less than 80 % of male births occur in Small Hospital1.1


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = 3650 ; par2 = 45 ; par3 = 15 ; par4 = 0.8 ;
Parameters (R input):
par1 = 3650 ; par2 = 45 ; par3 = 15 ; par4 = 0.8 ;
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')