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Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_hypothesismeanu.wasp
Title produced by softwareTesting Mean with unknown Variance - Critical Value
Date of computationTue, 26 Oct 2010 14:35:29 +0000
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2010/Oct/26/t1288103663f9eckinwa4m2n5o.htm/, Retrieved Sat, 27 Apr 2024 22:24:24 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=89214, Retrieved Sat, 27 Apr 2024 22:24:24 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact177
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] [Task 2: nulhypoth...] [2010-10-24 14:45:10] [6ca0fc48dd5333d51a15728999009c83]
F   PD    [Testing Mean with unknown Variance - Critical Value] [WS4 Taak 2 (Groep S)] [2010-10-26 14:35:29] [3ee4962e6ce79244b15c133e74cea133] [Current]
Feedback Forum
2010-10-31 12:08:33 [48eb36e2c01435ad7e4ea7854a9d98fe] [reply
Rekening houdend met de opmerkingen gegeven bij de vorige hypothesetoets, kunnen we ook hier stellen dat de nulhypothese niet gelegen is in het betrouwbaarheidsinterval waardoor we de nulhypothese zullen verwerpen. We aanvaarden dus de alternatieve hypothese en daarmee dus het feit dat de treatment wel effect heeft.

2010-11-02 20:02:09 [23c3e34d843bca32d327eaf7dc6bdb2b] [reply
De nulhypothese moet hier aanvaard worden want 0 ligt in het betrouwbaarheidsinterval[ -0.128085086527478 , 0.242370800813192 ].

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Dataseries X:
3
1
1
5
0
-1
1
2
-1
2
0
4
4
-1
0
4
-1
4
2
2
0
0
4
1
0
0
4
4
0
0
2
1
0
2
2




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time0 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 & 0 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=89214&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]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=89214&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=89214&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 Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time0 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135







Hypothesis Test about the Mean - Confidence Interval
Sample size35
Sample standard deviation1.78791461078604
Confidence0.95
Null hypothesis0
Sample Mean1.45714285714286
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=89214&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=89214&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=89214&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 size35
Sample standard deviation1.78791461078604
Confidence0.95
Null hypothesis0
Sample Mean1.45714285714286
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')