Repository of Reproducible Computations

Free Statistics

of Irreproducible Research!

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

Tue, 16 Dec 2014 11:49:15 +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/16/t1418730562558yg0ifi1wouv3.htm/, Retrieved Fri, 01 Nov 2024 00:04:01 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=269369, Retrieved Fri, 01 Nov 2024 00:04:01 +0000

QR Codes:

Paste this QR Code to cite your computation.

Original text written by user:

IsPrivate?

No (this computation is public)

User-defined keywords

Estimated Impact

107

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] [sdtfgyh] [2014-12-16 11:00:25] [6861ea8b851ffa0954a62d449484317c]
-   PD              [Chi-Square Test] [fdhfhfhfh] [2014-12-16 11:41:51] [6861ea8b851ffa0954a62d449484317c]
-    D                  [Chi-Square Test] [] [2014-12-16 11:49:15] [976838eee8065151b67152384bdc0925] [Current]
-  M                      [Chi-Square Test] [] [2014-12-16 13:35:38] [48b7e19056e289d134967902f0c4112d] 

Feedback Forum

Post a new message

Dataseries X:

Download CSV

Histogram

Boxplots

'g'	'Often'	'Same'
'g'	'Not_bul'	'Same'
'g'	'Rarely'	'Same'
'g'	'Rarely'	'Differnt'
'b'	'Not_bul'	'Not_bul'
'b'	'Not_bul'	'Differnt'
'b'	'Not_bul'	'Same'
'g'	'Not_bul'	'Not_bul'
'g'	'Not_bul'	'Not_bul'
'b'	'Rarely'	'Same'
'g'	'Not_bul'	'Not_bul'
'b'	'Often'	'Both'
'g'	'Often'	'Same'
'b'	'Often'	'Differnt'
'g'	'Not_bul'	'Not_bul'
'g'	'Not_bul'	'Not_bul'
'b'	'Rarely'	'Differnt'
'b'	'Rarely'	'Both'
'b'	'Not_bul'	'Differnt'
'g'	'Not_bul'	'Not_bul'
'b'	'Rarely'	'Differnt'
'b'	'Not_bul'	'Not_bul'
'g'	'Not_bul'	'Same'
'g'	'Often'	'Differnt'
'b'	'Often'	'Differnt'
'b'	'Not_bul'	'Not_bul'
'b'	'Not_bul'	'Not_bul'
'b'	'Rarely'	'Differnt'
'b'	'Often'	'Same'
'g'	'Not_bul'	'Not_bul'
'b'	'Often'	'Same'
'g'	'Often'	'Differnt'
'b'	'Often'	'Differnt'
'g'	'Rarely'	'Differnt'
'b'	'Not_bul'	'Not_bul'
'g'	'Not_bul'	'Not_bul'
'b'	'Often'	'Differnt'
'g'	'Often'	'Differnt'
'b'	'Not_bul'	'Not_bul'
'g'	'Not_bul'	'Not_bul'
'g'	'Not_bul'	'Not_bul'
'b'	'Rarely'	'Not_bul'
'g'	'Rarely'	'Same'
'g'	'Not_bul'	'Not_bul'
'b'	'Not_bul'	'Not_bul'
'g'	'Not_bul'	'Not_bul'
'b'	'Rarely'	'Differnt'
'g'	'Not_bul'	'Not_bul'
'g'	'Often'	'Differnt'
'g'	'Often'	'Differnt'
'b'	'Rarely'	'Differnt'
'g'	'Not_bul'	'Not_bul'
'b'	'Not_bul'	'Not_bul'
'g'	'Rarely'	'Both'
'b'	'Not_bul'	'Not_bul'
'b'	'Not_bul'	'Not_bul'
'g'	'Not_bul'	'Not_bul'
'g'	'Rarely'	'Same'
'g'	'Not_bul'	'Not_bul'
'g'	'Often'	'Same'
'g'	'Often'	'Both'
'g'	'Rarely'	'Same'
'b'	'Often'	'Differnt'
'b'	'Rarely'	'Differnt'
'g'	'Rarely'	'Not_bul'
'b'	'Rarely'	'Same'
'g'	'Rarely'	'Same'
'b'	'Often'	'Same'
'b'	'Not_bul'	'Not_bul'
'b'	'Often'	'Same'
'g'	'Rarely'	'Same'
'b'	'Not_bul'	'Not_bul'
'g'	'Not_bul'	'Not_bul'
'b'	'Not_bul'	'Not_bul'
'g'	'Rarely'	'Both'
'g'	'Rarely'	'Both'
'g'	'Not_bul'	'Not_bul'
'b'	'Rarely'	'Same'
'b'	'Rarely'	'Not_bul'
'b'	'Rarely'	'Not_bul'
'b'	'Often'	'Same'
'g'	'Not_bul'	'Not_bul'
'g'	'Rarely'	'Same'
'g'	'Not_bul'	'Same'
'g'	'Often'	'Differnt'
'b'	'Often'	'Same'
'b'	'Often'	'Differnt'
'g'	'Not_bul'	'Same'
'b'	'Often'	'Differnt'
'b'	'Rarely'	'Both'
'g'	'Often'	'Same'
'g'	'Often'	'Same'
'b'	'Not_bul'	'Not_bul'
'g'	'Not_bul'	'Not_bul'
'b'	'Not_bul'	'Not_bul'
'g'	'Not_bul'	'Not_bul'
'g'	'Not_bul'	'Not_bul'
'g'	'Often'	'Not_bul'
'g'	'Often'	'Both'
'g'	'Often'	'Same'
'g'	'Not_bul'	'Not_bul'
'g'	'Not_bul'	'Not_bul'
'b'	'Not_bul'	'Not_bul'
'g'	'Rarely'	'Same'
'g'	'Often'	'Both'
'b'	'Rarely'	'Both'
'b'	'Not_bul'	'Not_bul'
'g'	'Not_bul'	'Not_bul'
'b'	'Often'	'Differnt'
'g'	'Often'	'Same'
'g'	'Rarely'	'Same'
'b'	'Often'	'Not_bul'
'g'	'Not_bul'	'Not_bul'
'b'	'Often'	'Both'
'b'	'Often'	'Both'
'b'	'Rarely'	'Same'
'b'	'Not_bul'	'Differnt'
'g'	'Not_bul'	'Not_bul'
'g'	'Often'	'Both'
'b'	'Rarely'	'Both'
'b'	'Often'	'Same'
'g'	'Not_bul'	'Not_bul'
'g'	'Not_bul'	'Not_bul'
'g'	'Rarely'	'Same'
'g'	'Often'	'Same'
'g'	'Not_bul'	'Not_bul'
'b'	'Rarely'	'Differnt'
'g'	'Rarely'	'Same'
'g'	'Not_bul'	'Not_bul'
'b'	'Rarely'	'Both'
'g'	'Rarely'	'Differnt'
'g'	'Rarely'	'Both'
'g'	'Not_bul'	'Not_bul'
'g'	'Not_bul'	'Not_bul'
'b'	'Not_bul'	'Not_bul'
'g'	'Often'	'Same'
'b'	'Rarely'	'Same'
'b'	'Rarely'	'Differnt'
'g'	'Often'	'Both'
'g'	'Not_bul'	'Not_bul'
'b'	'Not_bul'	'Not_bul'
'g'	'Often'	'Differnt'
'b'	'Rarely'	'Both'
'g'	'Rarely'	'Same'
'g'	'Often'	'Same'
'b'	'Not_bul'	'Not_bul'
'g'	'Not_bul'	'Not_bul'
'g'	'Rarely'	'Same'
'b'	'Not_bul'	'Not_bul'
'b'	'Often'	'Same'
'g'	'Often'	'Same'
'g'	'Not_bul'	'Not_bul'
'g'	'Not_bul'	'Not_bul'
'b'	'Not_bul'	'Not_bul'
'g'	'Not_bul'	'Not_bul'
'g'	'Not_bul'	'Not_bul'
'g'	'Not_bul'	'Not_bul'
'b'	'Rarely'	'Same'
'b'	'Often'	'Both'
'g'	'Not_bul'	'Not_bul'
'b'	'Rarely'	'Same'
'g'	'Not_bul'	'Not_bul'
'b'	'Often'	'Same'
'b'	'Rarely'	'Same'
'b'	'Rarely'	'Same'
'g'	'Not_bul'	'Not_bul'
'b'	'Often'	'Differnt'
'g'	'Often'	'Both'
'b'	'Not_bul'	'Not_bul'
'g'	'Not_bul'	'Not_bul'
'b'	'Not_bul'	'Not_bul'
'b'	'Not_bul'	'Not_bul'
'g'	'Not_bul'	'Not_bul'
'g'	'Often'	'Not_bul'
'b'	'Rarely'	'Same'
'b'	'Often'	'Not_bul'
'g'	'Rarely'	'Same'
'g'	'Often'	'Same'
'b'	'Rarely'	'Differnt'
'g'	'Rarely'	'Both'
'b'	'Not_bul'	'Not_bul'
'b'	'Not_bul'	'Not_bul'
'g'	'Rarely'	'Differnt'
'b'	'Rarely'	'Differnt'
'g'	'Not_bul'	'Not_bul'
'b'	'Not_bul'	'Not_bul'
'g'	'Not_bul'	'Not_bul'
'b'	'Rarely'	'Differnt'
'g'	'Not_bul'	'Not_bul'
'g'	'Often'	'Same'
'b'	'Not_bul'	'Not_bul'
'g'	'Not_bul'	'Not_bul'
'b'	'Not_bul'	'Not_bul'

Summary of computational transaction
Raw Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	1 seconds
R Server	'Sir Maurice George Kendall' @ kendall.wessa.net
R Framework error message	Warning: there are blank lines in the 'Data X' field. Please, use NA for missing data - blank lines are simply deleted and are NOT treated as missing values.

\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 Maurice George Kendall' @ kendall.wessa.net \tabularnewline
R Framework error message & Warning: there are blank lines in the 'Data X' field.
Please, use NA for missing data - blank lines are simply
 deleted and are NOT treated as missing values. \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=269369&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 Maurice George Kendall' @ kendall.wessa.net[/C][/ROW]
[ROW][C]R Framework error message[/C][C]Warning: there are blank lines in the 'Data X' field.
Please, use NA for missing data - blank lines are simply
 deleted and are NOT treated as missing values.[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=269369&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=269369&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	1 seconds
R Server	'Sir Maurice George Kendall' @ kendall.wessa.net
R Framework error message	Warning: there are blank lines in the 'Data X' field. Please, use NA for missing data - blank lines are simply deleted and are NOT treated as missing values.

Tabulation of Results
gender x year_of_bully
	Both	Differnt	Not_bul	Same
b	10	23	35	20
g	11	11	52	31

\begin{tabular}{lllllllll}
\hline
Tabulation of Results \tabularnewline
gender  x  year_of_bully \tabularnewline
  & Both & Differnt & Not_bul & Same \tabularnewline
b & 10 & 23 & 35 & 20 \tabularnewline
g & 11 & 11 & 52 & 31 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=269369&T=1

[TABLE]
[ROW][C]Tabulation of Results[/C][/ROW]
[ROW][C]gender  x  year_of_bully[/C][/ROW]
[ROW][C] [/C][C]Both[/C][C]Differnt[/C][C]Not_bul[/C][C]Same[/C][/ROW]
[C]b[/C][C]10[/C][C]23[/C][C]35[/C][C]20[/C][/ROW]
[C]g[/C][C]11[/C][C]11[/C][C]52[/C][C]31[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=269369&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=269369&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
gender x year_of_bully
	Both	Differnt	Not_bul	Same
b	10	23	35	20
g	11	11	52	31

Tabulation of Expected Results
gender x year_of_bully
	Both	Differnt	Not_bul	Same
b	9.58	15.5	39.67	23.25
g	11.42	18.5	47.33	27.75

\begin{tabular}{lllllllll}
\hline
Tabulation of Expected Results \tabularnewline
gender  x  year_of_bully \tabularnewline
  & Both & Differnt & Not_bul & Same \tabularnewline
b & 9.58 & 15.5 & 39.67 & 23.25 \tabularnewline
g & 11.42 & 18.5 & 47.33 & 27.75 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=269369&T=2

[TABLE]
[ROW][C]Tabulation of Expected Results[/C][/ROW]
[ROW][C]gender  x  year_of_bully[/C][/ROW]
[ROW][C] [/C][C]Both[/C][C]Differnt[/C][C]Not_bul[/C][C]Same[/C][/ROW]
[C]b[/C][C]9.58[/C][C]15.5[/C][C]39.67[/C][C]23.25[/C][/ROW]
[C]g[/C][C]11.42[/C][C]18.5[/C][C]47.33[/C][C]27.75[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=269369&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=269369&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
gender x year_of_bully
	Both	Differnt	Not_bul	Same
b	9.58	15.5	39.67	23.25
g	11.42	18.5	47.33	27.75

Statistical Results
Pearson's Chi-squared test
Chi Square Statistic	8.55
Degrees of Freedom	3
P value	0.04

\begin{tabular}{lllllllll}
\hline
Statistical Results \tabularnewline
Pearson's Chi-squared test \tabularnewline
Chi Square Statistic & 8.55 \tabularnewline
Degrees of Freedom & 3 \tabularnewline
P value & 0.04 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=269369&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]8.55[/C][/ROW]
[ROW][C]Degrees of Freedom[/C][C]3[/C][/ROW]
[ROW][C]P value[/C][C]0.04[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=269369&T=3

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=269369&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	8.55
Degrees of Freedom	3
P value	0.04

Parameters (Session):

par1 = 1 ; par2 = 3 ; par3 = Pearson Chi-Square ;

Parameters (R input):

par1 = 1 ; par2 = 3 ; 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