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Description of Statistical Computation

Author's title

Author*The author of this computation has been verified*
R Software Module--
Title produced by softwareChi-Square Test
Date of computationMon, 03 Dec 2012 10:40:33 -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/2012/Dec/03/t1354549266p8ctgzb726fp2ms.htm/, Retrieved Fri, 01 Nov 2024 01:01:41 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=195826, Retrieved Fri, 01 Nov 2024 01:01:41 +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)
-     [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]
- R PD            [Chi-Square Test] [w9 are boys bulli...] [2012-11-29 12:40:14] [4f5c00734ef98c643239682425f8431b]
-    D              [Chi-Square Test] [Gender and Type o...] [2012-12-02 16:11:11] [5be76439a12f594fadd95b1fb6efe649]
-  M                    [Chi-Square Test] [Gender and Type o...] [2012-12-03 15:40:33] [9c9871bec7fca0615213f8a921560794] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
'g'	'Both'
'g'	'Physical'
'g'	'Mental'
'g'	'Mental'
'b'	'Physical'
'b'	'Physical'
'b'	'Mental'
'b'	'Mental'
'g'	'Mental'
'b'	'Both'
'g'	'Mental'
'b'	'Mental'
'b'	'Both'
'b'	'Mental'
'g'	'Mental'
'b'	'Both'
'b'	'Mental'
'b'	'Both'
'b'	'Both'
'b'	'Both'
'g'	'Mental'
'b'	'Both'
'g'	'Physical'
'b'	'Mental'
'g'	'Mental'
'g'	'Both'
'b'	'Physical'
'g'	'Mental'
'g'	'Both'
'b'	'Physical'
'g'	'Mental'
'g'	'Mental'
'g'	'Mental'
'g'	'Mental'
'b'	'Both'
'b'	'Both'
'b'	'Mental'
'g'	'Mental'
'b'	'Mental'
'b'	'Mental'
'b'	'Physical'
'g'	'Mental'
'g'	'Both'
'g'	'Mental'
'g'	'Mental'
'b'	'Mental'
'b'	'Mental'
'g'	'Mental'
'g'	'Mental'
'g'	'Physical'
'b'	'Physical'
'g'	'Mental'
'b'	'Mental'
'b'	'Mental'
'g'	'Mental'
'g'	'Mental'
'g'	'Mental'
'g'	'Mental'
'g'	'Both'
'g'	'Mental'
'g'	'Mental'
'g'	'Mental'
'b'	'Mental'
'b'	'Physical'
'g'	'Both'
'g'	'Physical'
'b'	'Both'
'b'	'Physical'
'b'	'Both'
'g'	'Both'
'b'	'Both'
'b'	'Physical'
'g'	'Mental'
'g'	'Mental'
'b'	'Mental'
'g'	'Mental'
'b'	'Mental'
'g'	'Physical'
'g'	'Both'
'g'	'Mental'
'b'	'Physical'
'b'	'Mental'
'g'	'Mental'
'b'	'Both'
'g'	'Mental'
'b'	'Mental'
'g'	'Mental'
'g'	'Mental'
'g'	'Mental'
'b'	'Both'
'g'	'Both'
'b'	'Both'
'b'	'Mental'
'b'	'Mental'
'b'	'Mental'
'b'	'Physical'
'b'	'Mental'
'b'	'Mental'
'g'	'Both'
'g'	'Mental'
'b'	'Physical'
'b'	'Mental'
'g'	'Mental'
'b'	'Physical'
'g'	'Both'
'g'	'Mental'
'b'	'Mental'
'g'	'Mental'
'b'	'Physical'
'g'	'Mental'
'g'	'Both'

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Sir Ronald Aylmer Fisher' @ fisher.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 & 'Sir Ronald Aylmer Fisher' @ fisher.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=195826&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]'Sir Ronald Aylmer Fisher' @ fisher.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=195826&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=195826&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 time1 seconds
R Server'Sir Ronald Aylmer Fisher' @ fisher.wessa.net






Tabulation of Results
type_of_bullying x gender
bg
Both1512
Mental2540
Physical145

\begin{tabular}{lllllllll}
\hline
Tabulation of Results \tabularnewline
type_of_bullying  x  gender \tabularnewline
  & b & g \tabularnewline
Both & 15 & 12 \tabularnewline
Mental & 25 & 40 \tabularnewline
Physical & 14 & 5 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=195826&T=1

[TABLE]
[ROW][C]Tabulation of Results[/C][/ROW]
[ROW][C]type_of_bullying  x  gender[/C][/ROW]
[ROW][C] [/C][C]b[/C][C]g[/C][/ROW]
[C]Both[/C][C]15[/C][C]12[/C][/ROW]
[C]Mental[/C][C]25[/C][C]40[/C][/ROW]
[C]Physical[/C][C]14[/C][C]5[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=195826&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=195826&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:

Tabulation of Results
type_of_bullying x gender
bg
Both1512
Mental2540
Physical145






Tabulation of Expected Results
type_of_bullying x gender
bg
Both13.1413.86
Mental31.6233.38
Physical9.249.76

\begin{tabular}{lllllllll}
\hline
Tabulation of Expected Results \tabularnewline
type_of_bullying  x  gender \tabularnewline
  & b & g \tabularnewline
Both & 13.14 & 13.86 \tabularnewline
Mental & 31.62 & 33.38 \tabularnewline
Physical & 9.24 & 9.76 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=195826&T=2

[TABLE]
[ROW][C]Tabulation of Expected Results[/C][/ROW]
[ROW][C]type_of_bullying  x  gender[/C][/ROW]
[ROW][C] [/C][C]b[/C][C]g[/C][/ROW]
[C]Both[/C][C]13.14[/C][C]13.86[/C][/ROW]
[C]Mental[/C][C]31.62[/C][C]33.38[/C][/ROW]
[C]Physical[/C][C]9.24[/C][C]9.76[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=195826&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=195826&T=2

As an alternative you can also use a QR Code:  
QR Code


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

Tabulation of Expected Results
type_of_bullying x gender
bg
Both13.1413.86
Mental31.6233.38
Physical9.249.76






Statistical Results
Pearson's Chi-squared test
Chi Square Statistic7.98
Degrees of Freedom2
P value0.02

\begin{tabular}{lllllllll}
\hline
Statistical Results \tabularnewline
Pearson's Chi-squared test \tabularnewline
Chi Square Statistic & 7.98 \tabularnewline
Degrees of Freedom & 2 \tabularnewline
P value & 0.02 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=195826&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]7.98[/C][/ROW]
[ROW][C]Degrees of Freedom[/C][C]2[/C][/ROW]
[ROW][C]P value[/C][C]0.02[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=195826&T=3

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=195826&T=3

As an alternative you can also use a QR Code:  
QR Code


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

Statistical Results
Pearson's Chi-squared test
Chi Square Statistic7.98
Degrees of Freedom2
P value0.02


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = 2 ; par2 = 1 ; par3 = Pearson Chi-Square ;
Parameters (R input):
par1 = 2 ; par2 = 1 ; par3 = Pearson Chi-Square ; par4 = ; par5 = ; par6 = ; par7 = ; par8 = ; par9 = ; par10 = ; par11 = ; par12 = ; par13 = ; par14 = ; par15 = ; par16 = ; par17 = ; par18 = ; par19 = ; par20 = ;
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')