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Description of Statistical Computation

Author's title

w9 are children bullied more by children of the same year or by a differen...

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, 29 Nov 2012 08:09:07 -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/Nov/29/t1354194752xr66rrfhnfegj78.htm/, Retrieved Sun, 28 Apr 2024 10:58:23 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=194470, Retrieved Sun, 28 Apr 2024 10:58:23 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact107

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 more ...] [2012-11-29 12:32:30] [4f5c00734ef98c643239682425f8431b]
-    D                [Chi-Square Test] [w9 are children b...] [2012-11-29 13:09:07] [80fa07db41e661353ef083169e826f3b] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
'Often'	'Same'
'Often'	'Both'
'Often'	'Same'
'Often'	'Differnt'
'Often'	'Differnt'
'Often'	'Differnt'
'Often'	'Same'
'Often'	'Same'
'Often'	'Differnt'
'Often'	'Differnt'
'Often'	'Differnt'
'Often'	'Differnt'
'Often'	'Differnt'
'Often'	'Differnt'
'Often'	'Same'
'Often'	'Both'
'Often'	'Differnt'
'Often'	'Same'
'Often'	'Same'
'Often'	'Same'
'Often'	'Differnt'
'Often'	'Same'
'Often'	'Differnt'
'Often'	'Differnt'
'Often'	'Same'
'Often'	'Same'
'Often'	'Both'
'Often'	'Same'
'Often'	'Both'
'Often'	'Differnt'
'Often'	'Same'
'Often'	'Both'
'Often'	'Both'
'Often'	'Both'
'Often'	'Same'
'Often'	'Same'
'Often'	'Same'
'Often'	'Both'
'Often'	'Differnt'
'Often'	'Same'
'Often'	'Same'
'Often'	'Same'
'Often'	'Both'
'Often'	'Same'
'Often'	'Differnt'
'Often'	'Both'
'Often'	'Same'
'Often'	'Same'
'Rarely'	'Same'
'Rarely'	'Differnt'
'Rarely'	'Same'
'Rarely'	'Differnt'
'Rarely'	'Both'
'Rarely'	'Differnt'
'Rarely'	'Differnt'
'Rarely'	'Differnt'
'Rarely'	'Same'
'Rarely'	'Differnt'
'Rarely'	'Differnt'
'Rarely'	'Both'
'Rarely'	'Same'
'Rarely'	'Same'
'Rarely'	'Differnt'
'Rarely'	'Same'
'Rarely'	'Same'
'Rarely'	'Same'
'Rarely'	'Both'
'Rarely'	'Both'
'Rarely'	'Same'
'Rarely'	'Same'
'Rarely'	'Both'
'Rarely'	'Same'
'Rarely'	'Both'
'Rarely'	'Same'
'Rarely'	'Same'
'Rarely'	'Both'
'Rarely'	'Same'
'Rarely'	'Differnt'
'Rarely'	'Same'
'Rarely'	'Both'
'Rarely'	'Differnt'
'Rarely'	'Both'
'Rarely'	'Same'
'Rarely'	'Differnt'
'Rarely'	'Both'
'Rarely'	'Same'
'Rarely'	'Same'
'Rarely'	'Same'
'Rarely'	'Same'
'Rarely'	'Same'
'Rarely'	'Same'
'Rarely'	'Same'
'Rarely'	'Same'
'Rarely'	'Differnt'
'Rarely'	'Both'
'Rarely'	'Differnt'
'Rarely'	'Differnt'
'Rarely'	'Differnt'

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time0 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 & 0 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ jenkins.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=194470&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]'Gwilym Jenkins' @ jenkins.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=194470&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=194470&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 time0 seconds
R Server'Gwilym Jenkins' @ jenkins.wessa.net






Tabulation of Results
which_year x how_often
OftenRarely
Both1011
Differnt1615
Same2224

\begin{tabular}{lllllllll}
\hline
Tabulation of Results \tabularnewline
which_year  x  how_often \tabularnewline
  & Often & Rarely \tabularnewline
Both & 10 & 11 \tabularnewline
Differnt & 16 & 15 \tabularnewline
Same & 22 & 24 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=194470&T=1

[TABLE]
[ROW][C]Tabulation of Results[/C][/ROW]
[ROW][C]which_year  x  how_often[/C][/ROW]
[ROW][C] [/C][C]Often[/C][C]Rarely[/C][/ROW]
[C]Both[/C][C]10[/C][C]11[/C][/ROW]
[C]Differnt[/C][C]16[/C][C]15[/C][/ROW]
[C]Same[/C][C]22[/C][C]24[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=194470&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=194470&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
which_year x how_often
OftenRarely
Both1011
Differnt1615
Same2224






Tabulation of Expected Results
which_year x how_often
OftenRarely
Both10.2910.71
Differnt15.1815.82
Same22.5323.47

\begin{tabular}{lllllllll}
\hline
Tabulation of Expected Results \tabularnewline
which_year  x  how_often \tabularnewline
  & Often & Rarely \tabularnewline
Both & 10.29 & 10.71 \tabularnewline
Differnt & 15.18 & 15.82 \tabularnewline
Same & 22.53 & 23.47 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=194470&T=2

[TABLE]
[ROW][C]Tabulation of Expected Results[/C][/ROW]
[ROW][C]which_year  x  how_often[/C][/ROW]
[ROW][C] [/C][C]Often[/C][C]Rarely[/C][/ROW]
[C]Both[/C][C]10.29[/C][C]10.71[/C][/ROW]
[C]Differnt[/C][C]15.18[/C][C]15.82[/C][/ROW]
[C]Same[/C][C]22.53[/C][C]23.47[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=194470&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=194470&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
which_year x how_often
OftenRarely
Both10.2910.71
Differnt15.1815.82
Same22.5323.47






Statistical Results
Pearson's Chi-squared test
Chi Square Statistic0.13
Degrees of Freedom2
P value0.94

\begin{tabular}{lllllllll}
\hline
Statistical Results \tabularnewline
Pearson's Chi-squared test \tabularnewline
Chi Square Statistic & 0.13 \tabularnewline
Degrees of Freedom & 2 \tabularnewline
P value & 0.94 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=194470&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]0.13[/C][/ROW]
[ROW][C]Degrees of Freedom[/C][C]2[/C][/ROW]
[ROW][C]P value[/C][C]0.94[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=194470&T=3

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=194470&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 Statistic0.13
Degrees of Freedom2
P value0.94


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 ;
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')