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Author's title

Author

*The author of this computation has been verified*

R Software Module

rwasp_STARS_Bullying_Study_alt.wasp

Title produced by software

Chi-Square Test

Date of computation

Mon, 15 Dec 2014 13:57:02 +0000

Cite this page as follows

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2014/Dec/15/t1418651956k8twkayyfbislva.htm/, Retrieved Thu, 31 Oct 2024 23:05:29 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=268418, Retrieved Thu, 31 Oct 2024 23:05:29 +0000

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IsPrivate?

No (this computation is public)

User-defined keywords

Estimated Impact

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)

-     [Chi Square Measure of Association- Free Statistics Software (Calculator)] [Bullying by Gender] [2009-11-23 19:30:44] [98fd0e87c3eb04e0cc2efde01dbafab6]
- R P   [Chi Square Measure of Association- Free Statistics Software (Calculator)] [Bullying by Gende...] [2009-11-24 18:28:32] [b98453cac15ba1066b407e146608df68]
- R       [Chi Square Measure of Association- Free Statistics Software (Calculator)] [STARS Bullying Study] [2009-11-25 00:02:16] [98fd0e87c3eb04e0cc2efde01dbafab6]
-   PD      [Chi-Square Test] [STARS Bullying Study] [2010-11-15 17:05:23] [98fd0e87c3eb04e0cc2efde01dbafab6]
- R           [Chi-Square Test] [STARS Bullying Data] [2010-11-16 14:40:36] [98fd0e87c3eb04e0cc2efde01dbafab6]
-  MP           [Chi-Square Test] [chi2 Example - Ty...] [2011-11-14 11:58:51] [98fd0e87c3eb04e0cc2efde01dbafab6]
- RMPD              [Chi-Square Test] [are girls bullied...] [2014-12-15 13:57:02] [05b84fa0f2ed1249dfb1303a75b5acea] [Current]

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Dataseries X:

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Histogram

Boxplots

'g'	'Often'
'g'	'Not_bul'
'g'	'Rarely'
'g'	'Rarely'
'b'	'Not_bul'
'b'	'Not_bul'
'b'	'Not_bul'
'g'	'Not_bul'
'g'	'Not_bul'
'b'	'Rarely'
'g'	'Not_bul'
'b'	'Often'
'g'	'Often'
'b'	'Often'
'g'	'Not_bul'
'g'	'Not_bul'
'b'	'Rarely'
'b'	'Rarely'
'b'	'Not_bul'
'g'	'Not_bul'
'b'	'Rarely'
'b'	'Not_bul'
'g'	'Not_bul'
'g'	'Often'
'b'	'Often'
'b'	'Not_bul'
'b'	'Not_bul'
'b'	'Rarely'
'b'	'Often'
'g'	'Not_bul'
'b'	'Often'
'g'	'Often'
'b'	'Often'
'g'	'Rarely'
'b'	'Not_bul'
'g'	'Not_bul'
'b'	'Often'
'g'	'Often'
'b'	'Not_bul'
'g'	'Not_bul'
'g'	'Not_bul'
'b'	'Rarely'
'g'	'Rarely'
'g'	'Not_bul'
'b'	'Not_bul'
'g'	'Not_bul'
'b'	'Rarely'
'g'	'Not_bul'
'g'	'Often'
'g'	'Often'
'b'	'Rarely'
'g'	'Not_bul'
'b'	'Not_bul'
'g'	'Rarely'
'b'	'Not_bul'
'b'	'Not_bul'
'g'	'Not_bul'
'g'	'Rarely'
'g'	'Not_bul'
'g'	'Often'
'g'	'Often'
'g'	'Rarely'
'b'	'Often'
'b'	'Rarely'
'g'	'Rarely'
'b'	'Rarely'
'g'	'Rarely'
'b'	'Often'
'b'	'Not_bul'
'b'	'Often'
'g'	'Rarely'
'b'	'Not_bul'
'g'	'Not_bul'
'b'	'Not_bul'
'g'	'Rarely'
'g'	'Rarely'
'g'	'Not_bul'
'b'	'Rarely'
'b'	'Rarely'
'b'	'Rarely'
'b'	'Often'
'g'	'Not_bul'
'g'	'Rarely'
'g'	'Not_bul'
'g'	'Often'
'b'	'Often'
'b'	'Often'
'g'	'Not_bul'
'b'	'Often'
'b'	'Rarely'
'g'	'Often'
'g'	'Often'
'b'	'Not_bul'
'g'	'Not_bul'
'b'	'Not_bul'
'g'	'Not_bul'
'g'	'Not_bul'
'g'	'Often'
'g'	'Often'
'g'	'Often'
'g'	'Not_bul'
'g'	'Not_bul'
'b'	'Not_bul'
'g'	'Rarely'
'g'	'Often'
'b'	'Rarely'
'b'	'Not_bul'
'g'	'Not_bul'
'b'	'Often'
'g'	'Often'
'g'	'Rarely'
'b'	'Often'
'g'	'Not_bul'
'b'	'Often'
'b'	'Often'
'b'	'Rarely'
'b'	'Not_bul'
'g'	'Not_bul'
'g'	'Often'
'b'	'Rarely'
'b'	'Often'
'g'	'Not_bul'
'g'	'Not_bul'
'g'	'Rarely'
'g'	'Often'
'g'	'Not_bul'
'b'	'Rarely'
'g'	'Rarely'
'g'	'Not_bul'
'b'	'Rarely'
'g'	'Rarely'
'g'	'Rarely'
'g'	'Not_bul'
'g'	'Not_bul'
'b'	'Not_bul'
'g'	'Often'
'b'	'Rarely'
'b'	'Rarely'
'g'	'Often'
'g'	'Not_bul'
'b'	'Not_bul'
'g'	'Often'
'b'	'Rarely'
'g'	'Rarely'
'g'	'Often'
'b'	'Not_bul'
'g'	'Not_bul'
'g'	'Rarely'
'b'	'Not_bul'
'b'	'Often'
'g'	'Often'
'g'	'Not_bul'
'g'	'Not_bul'
'b'	'Not_bul'
'g'	'Not_bul'
'g'	'Not_bul'
'g'	'Not_bul'
'b'	'Rarely'
'b'	'Often'
'g'	'Not_bul'
'b'	'Rarely'
'g'	'Not_bul'
'b'	'Often'
'b'	'Rarely'
'b'	'Rarely'
'g'	'Not_bul'
'b'	'Often'
'g'	'Often'
'b'	'Not_bul'
'g'	'Not_bul'
'b'	'Not_bul'
'b'	'Not_bul'
'g'	'Not_bul'
'g'	'Often'
'b'	'Rarely'
'b'	'Often'
'g'	'Rarely'
'g'	'Often'
'b'	'Rarely'
'g'	'Rarely'
'b'	'Not_bul'
'b'	'Not_bul'
'g'	'Rarely'
'b'	'Rarely'
'g'	'Not_bul'
'b'	'Not_bul'
'g'	'Not_bul'
'b'	'Rarely'
'g'	'Not_bul'
'g'	'Often'
'b'	'Not_bul'
'g'	'Not_bul'
'b'	'Not_bul'

Summary of computational transaction
Raw Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	0 seconds
R Server	'Gertrude Mary Cox' @ cox.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 & 0 seconds \tabularnewline
R Server & 'Gertrude Mary Cox' @ cox.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=268418&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]0 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Gertrude Mary Cox' @ cox.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=268418&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=268418&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 Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	0 seconds
R Server	'Gertrude Mary Cox' @ cox.wessa.net

Tabulation of Results
how_often_bullied x how_often_bullied
	Not_bul	Often	Rarely
Not_bul	87	0	0
Often	0	52	0
Rarely	0	0	54

\begin{tabular}{lllllllll}
\hline
Tabulation of Results \tabularnewline
how_often_bullied  x  how_often_bullied \tabularnewline
  & Not_bul & Often & Rarely \tabularnewline
Not_bul & 87 & 0 & 0 \tabularnewline
Often & 0 & 52 & 0 \tabularnewline
Rarely & 0 & 0 & 54 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=268418&T=1

[TABLE]
[ROW][C]Tabulation of Results[/C][/ROW]
[ROW][C]how_often_bullied  x  how_often_bullied[/C][/ROW]
[ROW][C] [/C][C]Not_bul[/C][C]Often[/C][C]Rarely[/C][/ROW]
[C]Not_bul[/C][C]87[/C][C]0[/C][C]0[/C][/ROW]
[C]Often[/C][C]0[/C][C]52[/C][C]0[/C][/ROW]
[C]Rarely[/C][C]0[/C][C]0[/C][C]54[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=268418&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=268418&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
how_often_bullied x how_often_bullied
	Not_bul	Often	Rarely
Not_bul	87	0	0
Often	0	52	0
Rarely	0	0	54

Tabulation of Expected Results
how_often_bullied x how_often_bullied
	Not_bul	Often	Rarely
Not_bul	39.22	23.44	24.34
Often	23.44	14.01	14.55
Rarely	24.34	14.55	15.11

\begin{tabular}{lllllllll}
\hline
Tabulation of Expected Results \tabularnewline
how_often_bullied  x  how_often_bullied \tabularnewline
  & Not_bul & Often & Rarely \tabularnewline
Not_bul & 39.22 & 23.44 & 24.34 \tabularnewline
Often & 23.44 & 14.01 & 14.55 \tabularnewline
Rarely & 24.34 & 14.55 & 15.11 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=268418&T=2

[TABLE]
[ROW][C]Tabulation of Expected Results[/C][/ROW]
[ROW][C]how_often_bullied  x  how_often_bullied[/C][/ROW]
[ROW][C] [/C][C]Not_bul[/C][C]Often[/C][C]Rarely[/C][/ROW]
[C]Not_bul[/C][C]39.22[/C][C]23.44[/C][C]24.34[/C][/ROW]
[C]Often[/C][C]23.44[/C][C]14.01[/C][C]14.55[/C][/ROW]
[C]Rarely[/C][C]24.34[/C][C]14.55[/C][C]15.11[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=268418&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=268418&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
how_often_bullied x how_often_bullied
	Not_bul	Often	Rarely
Not_bul	39.22	23.44	24.34
Often	23.44	14.01	14.55
Rarely	24.34	14.55	15.11

Statistical Results
Pearson's Chi-squared test
Chi Square Statistic	386
Degrees of Freedom	4
P value	0

\begin{tabular}{lllllllll}
\hline
Statistical Results \tabularnewline
Pearson's Chi-squared test \tabularnewline
Chi Square Statistic & 386 \tabularnewline
Degrees of Freedom & 4 \tabularnewline
P value & 0 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=268418&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]386[/C][/ROW]
[ROW][C]Degrees of Freedom[/C][C]4[/C][/ROW]
[ROW][C]P value[/C][C]0[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=268418&T=3

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=268418&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 Statistic	386
Degrees of Freedom	4
P value	0

Parameters (Session):

par1 = 2 ; par2 = 2 ; par3 = Pearson Chi-Square ;

Parameters (R input):

par1 = 2 ; 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')

Free Statistics

Description of Statistical Computation

Tree of Dependent Computations

Dataset

Tables (Output of Computation)

Figures (Output of Computation)

Input Parameters & R Code