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Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_STARS_Bullying_Study_alt.wasp
Title produced by softwareChi-Square Test
Date of computationThu, 05 Dec 2013 17:15:42 -0500
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2013/Dec/05/t1386281751iz9wf0q38dpoq5s.htm/, Retrieved Thu, 28 Mar 2024 16:28:00 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=231269, Retrieved Thu, 28 Mar 2024 16:28:00 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact61
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Chi-Square Test] [Computation three] [2013-12-05 22:15:42] [74317883f5146e5bd4d62bf2e9488b31] [Current]
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Dataseries X:
'Boys'	'Not_bul'
'Boys'	'Boys'
'Girls'	'Not_bul'
'Boys'	'Boys'
'Not_bul'	'Boys'
'Not_bul'	'Boys'
'Not_bul'	'Boys'
'Both'	'Boys'
'Not_bul'	'Boys'
'Not_bul'	'Boys'
'Not_bul'	'Not_bul'
'Boys'	'Boys'
'Girls'	'Not_bul'
'Not_bul'	'Boys'
'Both'	'Boys'
'Boys'	'Boys'
'Not_bul'	'Both'
'Both'	'Both'
'Not_bul'	'Not_bul'
'Not_bul'	'Boys'
'Girls'	'Not_bul'
'Not_bul'	'Not_bul'
'Not_bul'	'Not_bul'
'Not_bul'	'Boys'
'Girls'	'Boys'
'Both'	'Not_bul'
'Not_bul'	'Not_bul'
'Boys'	'Not_bul'
'Not_bul'	'Boys'
'Girls'	'Boys'
'Not_bul'	'Boys'
'Boys'	'Boys'
'Girls'	'Not_bul'
'Girls'	'Boys'
'Girls'	'Not_bul'
'Girls'	'Not_bul'
'Girls'	'Boys'
'Not_bul'	'Not_bul'
'Both'	'Not_bul'
'Both'	'Boys'
'Not_bul'	'Boys'
'Not_bul'	'Boys'
'Both'	'Boys'
'Both'	'Boys'
'Both'	'Not_bul'
'Not_bul'	'Not_bul'
'Girls'	'Not_bul'
'Girls'	'Boys'
'Not_bul'	'Not_bul'
'Not_bul'	'Boys'
'Not_bul'	'Not_bul'
'Both'	'Boys'
'Girls'	'Boys'
'Girls'	'Boys'
'Not_bul'	'Boys'
'Not_bul'	'Boys'
'Girls'	'Boys'
'Boys'	'Boys'
'Not_bul'	'Boys'
'Girls'	'Not_bul'
'Boys'	'Boys'
'Not_bul'	'Boys'
'Not_bul'	'Not_bul'
'Boys'	'Boys'
'Not_bul'	'Not_bul'
'Not_bul'	'Not_bul'
'Girls'	'Boys'
'Girls'	'Not_bul'
'Not_bul'	'Boys'
'Boys'	'Boys'
'Not_bul'	'Boys'
'Boys'	'Boys'
'Boys'	'Boys'
'Not_bul'	'Boys'
'Not_bul'	'Boys'
'Girls'	'Not_bul'
'Both'	'Not_bul'
'Not_bul'	'Not_bul'
'Boys'	'Boys'
'Boys'	'Both'
'Girls'	'Boys'
'Not_bul'	'Not_bul'
'Girls'	'Not_bul'
'Boys'	'Boys'
'Not_bul'	'Not_bul'
'Not_bul'	'Boys'
'Not_bul'	'Not_bul'
'Not_bul'	'Not_bul'
'Not_bul'	
'Not_bul'	
'Not_bul'	
'Not_bul'	
'Boys'	
'Not_bul'	
'Not_bul'	
'Both'	
'Boys'	
'Both'	
'Both'	
'Boys'	
'Not_bul'	
'Not_bul'	
'Not_bul'	
'Both'	
'Not_bul'	




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Gwilym Jenkins' @ jenkins.wessa.net

\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 & 1 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ jenkins.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=231269&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]1 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Gwilym Jenkins' @ jenkins.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=231269&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=231269&T=0

As an alternative you can also use a 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 time1 seconds
R Server'Gwilym Jenkins' @ jenkins.wessa.net







Tabulation of Results
girls x boys
BothBoysGirlsNot_bul
Both1704
Boys31317
Girls010011
Not_bul325020

\begin{tabular}{lllllllll}
\hline
Tabulation of Results \tabularnewline
girls  x  boys \tabularnewline
  & Both & Boys & Girls & Not_bul \tabularnewline
Both & 1 & 7 & 0 & 4 \tabularnewline
Boys & 3 & 13 & 1 & 7 \tabularnewline
Girls & 0 & 10 & 0 & 11 \tabularnewline
Not_bul & 3 & 25 & 0 & 20 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=231269&T=1

[TABLE]
[ROW][C]Tabulation of Results[/C][/ROW]
[ROW][C]girls  x  boys[/C][/ROW]
[ROW][C] [/C][C]Both[/C][C]Boys[/C][C]Girls[/C][C]Not_bul[/C][/ROW]
[C]Both[/C][C]1[/C][C]7[/C][C]0[/C][C]4[/C][/ROW]
[C]Boys[/C][C]3[/C][C]13[/C][C]1[/C][C]7[/C][/ROW]
[C]Girls[/C][C]0[/C][C]10[/C][C]0[/C][C]11[/C][/ROW]
[C]Not_bul[/C][C]3[/C][C]25[/C][C]0[/C][C]20[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=231269&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=231269&T=1

As an alternative you can also use a QR Code:  

The GUIDs for individual cells are displayed in the table below:

Tabulation of Results
girls x boys
BothBoysGirlsNot_bul
Both1704
Boys31317
Girls010011
Not_bul325020







Tabulation of Expected Results
girls x boys
BothBoysGirlsNot_bul
Both0.86.290.114.8
Boys1.612.570.239.6
Girls1.4110.28.4
Not_bul3.225.140.4619.2

\begin{tabular}{lllllllll}
\hline
Tabulation of Expected Results \tabularnewline
girls  x  boys \tabularnewline
  & Both & Boys & Girls & Not_bul \tabularnewline
Both & 0.8 & 6.29 & 0.11 & 4.8 \tabularnewline
Boys & 1.6 & 12.57 & 0.23 & 9.6 \tabularnewline
Girls & 1.4 & 11 & 0.2 & 8.4 \tabularnewline
Not_bul & 3.2 & 25.14 & 0.46 & 19.2 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=231269&T=2

[TABLE]
[ROW][C]Tabulation of Expected Results[/C][/ROW]
[ROW][C]girls  x  boys[/C][/ROW]
[ROW][C] [/C][C]Both[/C][C]Boys[/C][C]Girls[/C][C]Not_bul[/C][/ROW]
[C]Both[/C][C]0.8[/C][C]6.29[/C][C]0.11[/C][C]4.8[/C][/ROW]
[C]Boys[/C][C]1.6[/C][C]12.57[/C][C]0.23[/C][C]9.6[/C][/ROW]
[C]Girls[/C][C]1.4[/C][C]11[/C][C]0.2[/C][C]8.4[/C][/ROW]
[C]Not_bul[/C][C]3.2[/C][C]25.14[/C][C]0.46[/C][C]19.2[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=231269&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=231269&T=2

As an alternative you can also use a QR Code:  

The GUIDs for individual cells are displayed in the table below:

Tabulation of Expected Results
girls x boys
BothBoysGirlsNot_bul
Both0.86.290.114.8
Boys1.612.570.239.6
Girls1.4110.28.4
Not_bul3.225.140.4619.2







Statistical Results
Pearson's Chi-squared test
Chi Square Statistic7.93
Degrees of Freedom9
P value0.54

\begin{tabular}{lllllllll}
\hline
Statistical Results \tabularnewline
Pearson's Chi-squared test \tabularnewline
Chi Square Statistic & 7.93 \tabularnewline
Degrees of Freedom & 9 \tabularnewline
P value & 0.54 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=231269&T=3

[TABLE]
[ROW][C]Statistical Results[/C][/ROW]
[ROW][C]Pearson's Chi-squared test[/C][/ROW]
[ROW][C]Chi Square Statistic[/C][C]7.93[/C][/ROW]
[ROW][C]Degrees of Freedom[/C][C]9[/C][/ROW]
[ROW][C]P value[/C][C]0.54[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=231269&T=3

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=231269&T=3

As an alternative you can also use a QR Code:  

The GUIDs for individual cells are displayed in the table below:

Statistical Results
Pearson's Chi-squared test
Chi Square Statistic7.93
Degrees of Freedom9
P value0.54



Parameters (Session):
par1 = 1 ; par2 = 2 ; par3 = Pearson Chi-Square ;
Parameters (R input):
par1 = 1 ; par2 = 2 ; par3 = Pearson Chi-Square ;
R code (references can be found in the software module):
cat1 <- as.numeric(par1) #
cat2<- as.numeric(par2) #
simulate.p.value=FALSE
if (par3 == 'Exact Pearson Chi Square by simulation') simulate.p.value=TRUE
x <- t(x)
(z <- array(unlist(x),dim=c(length(x[,1]),length(x[1,]))))
(table1 <- table(z[,cat1],z[,cat2]))
(V1<-dimnames(y)[[1]][cat1])
(V2<-dimnames(y)[[1]][cat2])
load(file='createtable')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Tabulation of Results',ncol(table1)+1,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,paste(V1,' x ', V2),ncol(table1)+1,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, ' ', 1,TRUE)
for(nc in 1:ncol(table1)){
a<-table.element(a, colnames(table1)[nc], 1, TRUE)
}
a<-table.row.end(a)
for(nr in 1:nrow(table1) ){
a<-table.element(a, rownames(table1)[nr], 1, TRUE)
for(nc in 1:ncol(table1) ){
a<-table.element(a, table1[nr, nc], 1, FALSE)
}
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable.tab')
(cst<-chisq.test(table1, simulate.p.value=simulate.p.value) )
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Tabulation of Expected Results',ncol(table1)+1,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,paste(V1,' x ', V2),ncol(table1)+1,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, ' ', 1,TRUE)
for(nc in 1:ncol(table1)){
a<-table.element(a, colnames(table1)[nc], 1, TRUE)
}
a<-table.row.end(a)
for(nr in 1:nrow(table1) ){
a<-table.element(a, rownames(table1)[nr], 1, TRUE)
for(nc in 1:ncol(table1) ){
a<-table.element(a, round(cst$expected[nr, nc], digits=2), 1, FALSE)
}
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable1.tab')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Statistical Results',2,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, cst$method, 2,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'Chi Square Statistic', 1, TRUE)
a<-table.element(a, round(cst$statistic, digits=2), 1,FALSE)
a<-table.row.end(a)
if(!simulate.p.value){
a<-table.row.start(a)
a<-table.element(a, 'Degrees of Freedom', 1, TRUE)
a<-table.element(a, cst$parameter, 1,FALSE)
a<-table.row.end(a)
}
a<-table.row.start(a)
a<-table.element(a, 'P value', 1, TRUE)
a<-table.element(a, round(cst$p.value, digits=2), 1,FALSE)
a<-table.row.end(a)
a<-table.end(a)
table.save(a,file='mytable2.tab')