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Author's title

Author

*The author of this computation has been verified*

R Software Module

rwasp_chi_squared_tests.wasp

Title produced by software

Chi-Squared Test, McNemar Test, and Fisher Exact Test

Date of computation

Sat, 09 Nov 2013 09:14:44 -0500

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/2013/Nov/09/t1384006525k7ffzntvxsmxdbw.htm/, Retrieved Sat, 07 Feb 2026 02:18:56 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=223609, Retrieved Sat, 07 Feb 2026 02:18:56 +0000

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IsPrivate?

No (this computation is public)

User-defined keywords

Estimated Impact

363

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

-       [Chi-Squared Test, McNemar Test, and Fisher Exact Test] [WS6Q1HC2] [2013-11-09 14:14:44] [6ad4b3a64b75b346e38c613e9e401ebc] [Current]

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Boxplots

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'A' 'B' 'A' 'A' 'B' 'A' 'HI' 'HI' 'HI' 'HI' 'HI' 'HI'
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'C' 'B' 'C' 'D' 'A' 'C' 'LO' 'HI' 'LO' 'LO' 'HI' 'LO'
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'D' 'B' 'D' 'C' 'D' 'A' 'LO' 'HI' 'LO' 'LO' 'LO' 'HI'
'B' 'B' 'D' 'D' 'B' 'C' 'HI' 'HI' 'LO' 'LO' 'HI' 'LO'
'D' 'B' 'D' 'D' 'C' 'B' 'LO' 'HI' 'LO' 'LO' 'LO' 'HI'
'C' 'B' 'A' 'D' 'B' 'D' 'LO' 'HI' 'HI' 'LO' 'HI' 'LO'
'D' 'B' 'C' 'D' 'A' 'A' 'LO' 'HI' 'LO' 'LO' 'HI' 'HI'
'D' 'B' 'A' 'A' 'B' 'B' 'LO' 'HI' 'HI' 'HI' 'HI' 'HI'
'D' 'D' 'A' 'B' 'B' 'B' 'LO' 'LO' 'HI' 'HI' 'HI' 'HI'
'A' 'D' 'D' 'D' 'A' 'C' 'HI' 'LO' 'LO' 'LO' 'HI' 'LO'
'C' 'D' 'A' 'A' 'A' 'B' 'LO' 'LO' 'HI' 'HI' 'HI' 'HI'
'B' 'B' 'D' 'A' 'D' 'B' 'HI' 'HI' 'LO' 'HI' 'LO' 'HI'
'C' 'D' 'A' 'A' 'D' 'C' 'LO' 'LO' 'HI' 'HI' 'LO' 'LO'
'B' 'C' 'D' 'D' 'D' 'A' 'HI' 'LO' 'LO' 'LO' 'LO' 'HI'
'A' 'A' 'D' 'D' 'A' 'B' 'HI' 'HI' 'LO' 'LO' 'HI' 'HI'
'A' 'A' 'C' 'A' 'C' 'A' 'HI' 'HI' 'LO' 'HI' 'LO' 'HI'
'B' 'A' 'A' 'D' 'A' 'D' 'HI' 'HI' 'HI' 'LO' 'HI' 'LO'
'B' 'A' 'A' 'D' 'D' 'B' 'HI' 'HI' 'HI' 'LO' 'LO' 'HI'
'B' 'B' 'C' 'D' 'D' 'A' 'HI' 'HI' 'LO' 'LO' 'LO' 'HI'
'C' 'D' 'D' 'D' 'C' 'A' 'LO' 'LO' 'LO' 'LO' 'LO' 'HI'
'B' 'C' 'A' 'A' 'C' 'A' 'HI' 'LO' 'HI' 'HI' 'LO' 'HI'
'C' 'A' 'D' 'D' 'B' 'A' 'LO' 'HI' 'LO' 'LO' 'HI' 'HI'
'C' 'B' 'C' 'D' 'A' 'C' 'LO' 'HI' 'LO' 'LO' 'HI' 'LO'
'B' 'C' 'A' 'B' 'C' 'D' 'HI' 'LO' 'HI' 'HI' 'LO' 'LO'
'C' 'B' 'D' 'D' 'D' 'A' 'LO' 'HI' 'LO' 'LO' 'LO' 'HI'
'B' 'B' 'D' 'D' 'C' 'A' 'HI' 'HI' 'LO' 'LO' 'LO' 'HI'

Summary of computational transaction
Raw Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	5 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 & 5 seconds \tabularnewline
R Server & 'Sir Ronald Aylmer Fisher' @ fisher.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=223609&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]5 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=223609&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=223609&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	5 seconds
R Server	'Sir Ronald Aylmer Fisher' @ fisher.wessa.net

Tabulation of Results
Happiness2 x Connected2
	HI	LO
HI	63	40
LO	34	25

\begin{tabular}{lllllllll}
\hline
Tabulation of Results \tabularnewline
Happiness2  x  Connected2 \tabularnewline
  & HI & LO \tabularnewline
HI & 63 & 40 \tabularnewline
LO & 34 & 25 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=223609&T=1

[TABLE]
[ROW][C]Tabulation of Results[/C][/ROW]
[ROW][C]Happiness2  x  Connected2[/C][/ROW]
[ROW][C] [/C][C]HI[/C][C]LO[/C][/ROW]
[C]HI[/C][C]63[/C][C]40[/C][/ROW]
[C]LO[/C][C]34[/C][C]25[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=223609&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=223609&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
Happiness2 x Connected2
	HI	LO
HI	63	40
LO	34	25

Tabulation of Expected Results
Happiness2 x Connected2
	HI	LO
HI	61.67	41.33
LO	35.33	23.67

\begin{tabular}{lllllllll}
\hline
Tabulation of Expected Results \tabularnewline
Happiness2  x  Connected2 \tabularnewline
  & HI & LO \tabularnewline
HI & 61.67 & 41.33 \tabularnewline
LO & 35.33 & 23.67 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=223609&T=2

[TABLE]
[ROW][C]Tabulation of Expected Results[/C][/ROW]
[ROW][C]Happiness2  x  Connected2[/C][/ROW]
[ROW][C] [/C][C]HI[/C][C]LO[/C][/ROW]
[C]HI[/C][C]61.67[/C][C]41.33[/C][/ROW]
[C]LO[/C][C]35.33[/C][C]23.67[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=223609&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=223609&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
Happiness2 x Connected2
	HI	LO
HI	61.67	41.33
LO	35.33	23.67

Statistical Results
Pearson's Chi-squared test with Yates' continuity correction
Pearson Chi Square Statistic	0.08
Degrees of Freedom	1
P value	0.78

\begin{tabular}{lllllllll}
\hline
Statistical Results \tabularnewline
Pearson's Chi-squared test with Yates' continuity correction \tabularnewline
Pearson Chi Square Statistic & 0.08 \tabularnewline
Degrees of Freedom & 1 \tabularnewline
P value & 0.78 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=223609&T=3

[TABLE]
[ROW][C]Statistical Results[/C][/ROW]
[ROW][C]Pearson's Chi-squared test with Yates' continuity correction[/C][/ROW]
[ROW][C]Pearson Chi Square Statistic[/C][C]0.08[/C][/ROW]
[ROW][C]Degrees of Freedom[/C][C]1[/C][/ROW]
[ROW][C]P value[/C][C]0.78[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=223609&T=3

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=223609&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 with Yates' continuity correction
Pearson Chi Square Statistic	0.08
Degrees of Freedom	1
P value	0.78

Figure 1

PNG link

Postscript link

PDF link

Parameters (Session):

par1 = 11 ; par2 = 7 ; par3 = Pearson Chi-Squared ;

Parameters (R input):

par1 = 11 ; par2 = 7 ; par3 = Pearson Chi-Squared ;

R code (references can be found in the software module):

library(vcd)
cat1 <- as.numeric(par1) #
cat2<- as.numeric(par2) #
simulate.p.value=FALSE
if (par3 == 'Exact Pearson Chi-Squared 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])
bitmap(file='pic1.png')
assoc(ftable(z[,cat1],z[,cat2],row.vars=1,dnn=c(V1,V2)),shade=T)
dev.off()
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) )
if (par3 == 'McNemar Chi-Squared') {
(cst <- mcnemar.test(table1))
}
if (par3=='Fisher Exact Test') {
(cst <- fisher.test(table1))
}
if ((par3 != 'McNemar Chi-Squared') & (par3 != 'Fisher Exact Test')) {
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)
if (par3=='Pearson Chi-Squared') a<-table.element(a, 'Pearson Chi Square Statistic', 1, TRUE)
if (par3=='Exact Pearson Chi-Squared by Simulation') a<-table.element(a, 'Exact Pearson Chi Square Statistic', 1, TRUE)
if (par3=='McNemar Chi-Squared') a<-table.element(a, 'McNemar Chi Square Statistic', 1, TRUE)
if (par3=='Fisher Exact Test') a<-table.element(a, 'Odds Ratio', 1, TRUE)
if (par3=='Fisher Exact Test') {
if ((ncol(table1) == 2) & (nrow(table1) == 2)) {
a<-table.element(a, round(cst$estimate, digits=2), 1,FALSE)
} else {
a<-table.element(a, '--', 1,FALSE)
}
} else {
a<-table.element(a, round(cst$statistic, digits=2), 1,FALSE)
}
a<-table.row.end(a)
if(!simulate.p.value){
if(par3!='Fisher Exact Test') {
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