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R Software Module

rwasp_hypothesismeanu.wasp

Title produced by software

Testing Mean with unknown Variance - Critical Value

Date of computation

Tue, 26 Oct 2010 18:39:12 +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/2010/Oct/26/t1288118267hxinzkedznebfh4.htm/, Retrieved Sat, 27 Apr 2024 21:18:25 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=89541, Retrieved Sat, 27 Apr 2024 21:18:25 +0000

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No (this computation is public)

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Estimated Impact

112

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

-     [Factor Analysis] [Sleep in Mammals ...] [2010-03-21 11:39:53] [b98453cac15ba1066b407e146608df68]
- RMPD  [Testing Mean with unknown Variance - Critical Value] [Hypothesis Test a...] [2010-10-19 11:45:26] [b98453cac15ba1066b407e146608df68]
F   PD      [Testing Mean with unknown Variance - Critical Value] [] [2010-10-26 18:39:12] [828f245e7d618edb6aea40fa5a537aa9] [Current]

Feedback Forum

2010-11-02 15:31:13 [f0479c8ad85b1406c7a3120008048c58] [reply] 
De berekening voor vrouwen blijkt dat de kritische waarde 13.775 is. We concluderen dat de vrouwelijke  I1 
variantie aanzienlijk groter is dan 13 (bij de 35% type I error level) Let op: dit betekent niet noodzakelijkerwijs 
dat de variantie groter is de I1 variantie van mannen. Waarom? 
http://www.freestatistics.org/blog/date/2010/Oct/25/t1288043532phj41g2mwbpfvum.htm/ 
De bovenstaande oplossing gaat ervan uit dat we gebruik maken van  een eenzijdige test . 
Bij een tweezijdige test moeten we de 65% betrouwbaarheidsintervallen berekenen zoals aangegeven 
in de volgende berekeningen: 
http://www.freestatistics.org/blog/date/2010/Oct/25/t1288043645wt7valwo96c7ppn.htm/ 
http://www.freestatistics.org/blog/date/2010/Oct/25/t1288043889djfatwi1jb1runt.htm/ 
De conclusie is dat de vrouwelijke I1 variantie niet significant verschillend is van 13, maar het is 
aanzienlijk groter zijn dan 13. 

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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	'Gwilym Jenkins' @ 72.249.127.135
R Framework error message	Warning: there are blank lines in the 'Data' 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 & 0 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
R Framework error message & Warning: there are blank lines in the 'Data' 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=89541&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' @ 72.249.127.135[/C][/ROW]
[ROW][C]R Framework error message[/C][C]Warning: there are blank lines in the 'Data' 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=89541&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=89541&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	'Gwilym Jenkins' @ 72.249.127.135
R Framework error message	Warning: there are blank lines in the 'Data' field. Please, use NA for missing data - blank lines are simply deleted and are NOT treated as missing values.

Hypothesis Test about the Mean - Confidence Interval
Sample size	63
Sample standard deviation	3.71225672258781
Confidence	0.65
Null hypothesis	13
Sample Mean	21.1587301587302
2-sided Confidence Interval	[ 20.7182956568817 , 21.5991646605786 ]
Left-sided Confidence Interval	[ 20.9776784112443 , +inf ]
Right-sided Confidence Interval	[ -inf, 21.339781906216 ]

\begin{tabular}{lllllllll}
\hline
Hypothesis Test about the Mean - Confidence Interval \tabularnewline
Sample size & 63 \tabularnewline
Sample standard deviation & 3.71225672258781 \tabularnewline
Confidence & 0.65 \tabularnewline
Null hypothesis & 13 \tabularnewline
Sample Mean & 21.1587301587302 \tabularnewline
2-sided Confidence Interval & [ 20.7182956568817 , 21.5991646605786 ] \tabularnewline
Left-sided Confidence Interval & [ 20.9776784112443 , +inf ] \tabularnewline
Right-sided Confidence Interval & [ -inf,  21.339781906216 ] \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=89541&T=1

[TABLE]
[ROW][C]Hypothesis Test about the Mean - Confidence Interval[/C][/ROW]
[ROW][C]Sample size[/C][C]63[/C][/ROW]
[ROW][C]Sample standard deviation[/C][C]3.71225672258781[/C][/ROW]
[ROW][C]Confidence[/C][C]0.65[/C][/ROW]
[ROW][C]Null hypothesis[/C][C]13[/C][/ROW]
[ROW][C]Sample Mean[/C][C]21.1587301587302[/C][/ROW]
[ROW][C]2-sided Confidence Interval[/C][C][ 20.7182956568817 , 21.5991646605786 ][/C][/ROW]
[ROW][C]Left-sided Confidence Interval[/C][C][ 20.9776784112443 , +inf ][/C][/ROW]
[ROW][C]Right-sided Confidence Interval[/C][C][ -inf,  21.339781906216 ][/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=89541&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=89541&T=1

As an alternative you can also use a QR Code:

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

Hypothesis Test about the Mean - Confidence Interval
Sample size	63
Sample standard deviation	3.71225672258781
Confidence	0.65
Null hypothesis	13
Sample Mean	21.1587301587302
2-sided Confidence Interval	[ 20.7182956568817 , 21.5991646605786 ]
Left-sided Confidence Interval	[ 20.9776784112443 , +inf ]
Right-sided Confidence Interval	[ -inf, 21.339781906216 ]

Parameters (Session):

par1 = 0.65 ; par2 = 13 ;

Parameters (R input):

par1 = 0.65 ; par2 = 13 ;

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

par1 <- as.numeric(par1)
par2 <- as.numeric(par2)
len <- length(x)
df <- len - 1
sd <- sd(x)
mx <- mean(x)
load(file='createtable')
delta2 <- abs(qt((1-par1)/2,df)) * sd / sqrt(len)
delta1 <- abs(qt((1-par1),df)) * sd / sqrt(len)
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Hypothesis Test about the Mean - Confidence Interval',2,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Sample size',header=TRUE)
a<-table.element(a,len)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Sample standard deviation',header=TRUE)
a<-table.element(a,sd)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Confidence',header=TRUE)
a<-table.element(a,par1)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Null hypothesis',header=TRUE)
a<-table.element(a,par2)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Sample Mean',header=TRUE)
a<-table.element(a,mx)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'2-sided Confidence Interval',header=TRUE)
dum <- paste('[',mx-delta2)
dum <- paste(dum,',')
dum <- paste(dum,mx+delta2)
dum <- paste(dum,']')
a<-table.element(a,dum)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Left-sided Confidence Interval',header=TRUE)
dum <- paste('[',mx-delta1)
dum <- paste(dum,', +inf ]')
a<-table.element(a,dum)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Right-sided Confidence Interval',header=TRUE)
dum <- paste('[ -inf, ',mx+delta1)
dum <- paste(dum,']')
a<-table.element(a,dum)
a<-table.row.end(a)
a<-table.end(a)
table.save(a,file='mytable.tab')

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