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_hypothesismeanu.wasp

Title produced by software

Testing Mean with unknown Variance - Critical Value

Date of computation

Fri, 12 Nov 2010 07:48:34 +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/Nov/12/t1289548030dyq1ddfswzjdu12.htm/, Retrieved Tue, 30 Apr 2024 08:25:44 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=93979, Retrieved Tue, 30 Apr 2024 08:25:44 +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

172

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

-     [Testing Mean with unknown Variance - Critical Value] [] [2010-10-22 10:07:01] [8a9a6f7c332640af31ddca253a8ded58]
-    D  [Testing Mean with unknown Variance - Critical Value] [] [2010-10-25 18:04:09] [504b6ff240ec7a3fcbc007044ae7a0bb]
F           [Testing Mean with unknown Variance - Critical Value] [] [2010-11-12 07:48:34] [d1991ab4912b5ede0ff54c26afa5d84c] [Current]

Feedback Forum

2010-11-13 10:12:10 [Hans Tierens] [reply] 
In je verklaring schrijf je iets over verschil tussen test 1 en test 2. Dit is echter al tegenstrijdig met wat je schrijft in vraag 1 (waar je de hypothese definieert). Je moet post1 -pre -score testen.  
Deze gegevens staan in je excel-bestand (finaldata.xls). Zorg dat je de juiste gegevens gebruikt. 
Je conclusie is bovendien foutief. Zelfs al werk je verder met jouw gegevens, dan zou de hypothese niet aanvaard worden (nul ligt buiten je gegenereerd interval). 
 
De juiste oplossing (gebruik makend van de juiste gegevens) heeft inderdaad een aanvaarding van de nul-hypothese tot gevolg. Nul ligt in het 95%-betrouwbaarheidsinterval: [-0,06377... , 0,27999...]! 

Post a new message

Dataseries X:

Download CSV

Histogram

Boxplots

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	'Gwilym Jenkins' @ 72.249.127.135

\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 & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=93979&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]'Gwilym Jenkins' @ 72.249.127.135[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=93979&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=93979&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	'Gwilym Jenkins' @ 72.249.127.135

Hypothesis Test about the Mean - Confidence Interval
Sample size	35
Sample standard deviation	1.78791461078604
Confidence	0.95
Null hypothesis	0
Sample Mean	1.45714285714286
2-sided Confidence Interval	[ 0.842972699857528 , 2.07131301442819 ]
Left-sided Confidence Interval	[ 0.946124025007177 , +inf ]
Right-sided Confidence Interval	[ -inf, 1.96816168927854 ]

\begin{tabular}{lllllllll}
\hline
Hypothesis Test about the Mean - Confidence Interval \tabularnewline
Sample size & 35 \tabularnewline
Sample standard deviation & 1.78791461078604 \tabularnewline
Confidence & 0.95 \tabularnewline
Null hypothesis & 0 \tabularnewline
Sample Mean & 1.45714285714286 \tabularnewline
2-sided Confidence Interval & [ 0.842972699857528 , 2.07131301442819 ] \tabularnewline
Left-sided Confidence Interval & [ 0.946124025007177 , +inf ] \tabularnewline
Right-sided Confidence Interval & [ -inf,  1.96816168927854 ] \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=93979&T=1

[TABLE]
[ROW][C]Hypothesis Test about the Mean - Confidence Interval[/C][/ROW]
[ROW][C]Sample size[/C][C]35[/C][/ROW]
[ROW][C]Sample standard deviation[/C][C]1.78791461078604[/C][/ROW]
[ROW][C]Confidence[/C][C]0.95[/C][/ROW]
[ROW][C]Null hypothesis[/C][C]0[/C][/ROW]
[ROW][C]Sample Mean[/C][C]1.45714285714286[/C][/ROW]
[ROW][C]2-sided Confidence Interval[/C][C][ 0.842972699857528 , 2.07131301442819 ][/C][/ROW]
[ROW][C]Left-sided Confidence Interval[/C][C][ 0.946124025007177 , +inf ][/C][/ROW]
[ROW][C]Right-sided Confidence Interval[/C][C][ -inf,  1.96816168927854 ][/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=93979&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=93979&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	35
Sample standard deviation	1.78791461078604
Confidence	0.95
Null hypothesis	0
Sample Mean	1.45714285714286
2-sided Confidence Interval	[ 0.842972699857528 , 2.07131301442819 ]
Left-sided Confidence Interval	[ 0.946124025007177 , +inf ]
Right-sided Confidence Interval	[ -inf, 1.96816168927854 ]

Parameters (Session):

par1 = 0.95 ; par2 = 0 ;

Parameters (R input):

par1 = 0.95 ; par2 = 0 ;

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')

Free Statistics

Description of Statistical Computation

Tree of Dependent Computations

Dataset

Tables (Output of Computation)

Figures (Output of Computation)

Input Parameters & R Code