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Author's title

Author*Unverified author*
R Software Modulerwasp_hypothesismeanu.wasp
Title produced by softwareTesting Mean with unknown Variance - Critical Value
Date of computationTue, 11 Nov 2008 05:39:35 -0700
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2008/Nov/11/t12264072039zt6xilvdstdj3f.htm/, Retrieved Sun, 19 May 2024 09:15:52 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=23403, Retrieved Sun, 19 May 2024 09:15:52 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact118
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
F       [Testing Mean with unknown Variance - Critical Value] [Testing Mean with...] [2008-11-11 12:39:35] [3b916296c2d2371d528ff188880e3d2b] [Current]
Feedback Forum
2008-11-21 13:01:50 [Natalie De Wilde] [reply
Onvolledig
Zoals bij de andere jaren, moet je kijken naar het betrouwbaarheidsinterval. je moet zien dat de sample variance hiertussen ligt. Je moet ook kijken naar de p-waarde, of deze groter of kleiner is dan de type 1 error.
Is deze groter dan spreken we van geen significant verschil. Is de p-waarde kleiner is er een significant verschil.
2008-11-21 13:06:05 [Natalie De Wilde] [reply
Voor Q2 moet je controleren of de sample mean in het rechtszijdig 1sided interval ligt. En of de sample mean kleiner of groter is dan de nulhypothese.

Post a new message
Dataseries X:
91.00
80.10
73.60
86.40
74.50
71.20
92.40
81.50
85.30
69.90
84.20
90.70




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time0 seconds
R Server'George Udny Yule' @ 72.249.76.132

\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 & 'George Udny Yule' @ 72.249.76.132 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=23403&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]'George Udny Yule' @ 72.249.76.132[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=23403&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=23403&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'George Udny Yule' @ 72.249.76.132







Hypothesis Test about the Mean - Confidence Interval
Sample size12
Sample standard deviation7.93614668730513
Confidence0.95
Null hypothesis100
Sample Mean81.7333333333333
2-sided Confidence Interval[ 76.6909462940102 , 86.7757203726565 ]
Left-sided Confidence Interval[ 77.619018299254 , +inf ]
Right-sided Confidence Interval[ -inf, 85.8476483674126 ]

\begin{tabular}{lllllllll}
\hline
Hypothesis Test about the Mean - Confidence Interval \tabularnewline
Sample size & 12 \tabularnewline
Sample standard deviation & 7.93614668730513 \tabularnewline
Confidence & 0.95 \tabularnewline
Null hypothesis & 100 \tabularnewline
Sample Mean & 81.7333333333333 \tabularnewline
2-sided Confidence Interval & [ 76.6909462940102 , 86.7757203726565 ] \tabularnewline
Left-sided Confidence Interval & [ 77.619018299254 , +inf ] \tabularnewline
Right-sided Confidence Interval & [ -inf,  85.8476483674126 ] \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=23403&T=1

[TABLE]
[ROW][C]Hypothesis Test about the Mean - Confidence Interval[/C][/ROW]
[ROW][C]Sample size[/C][C]12[/C][/ROW]
[ROW][C]Sample standard deviation[/C][C]7.93614668730513[/C][/ROW]
[ROW][C]Confidence[/C][C]0.95[/C][/ROW]
[ROW][C]Null hypothesis[/C][C]100[/C][/ROW]
[ROW][C]Sample Mean[/C][C]81.7333333333333[/C][/ROW]
[ROW][C]2-sided Confidence Interval[/C][C][ 76.6909462940102 , 86.7757203726565 ][/C][/ROW]
[ROW][C]Left-sided Confidence Interval[/C][C][ 77.619018299254 , +inf ][/C][/ROW]
[ROW][C]Right-sided Confidence Interval[/C][C][ -inf,  85.8476483674126 ][/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=23403&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=23403&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 size12
Sample standard deviation7.93614668730513
Confidence0.95
Null hypothesis100
Sample Mean81.7333333333333
2-sided Confidence Interval[ 76.6909462940102 , 86.7757203726565 ]
Left-sided Confidence Interval[ 77.619018299254 , +inf ]
Right-sided Confidence Interval[ -inf, 85.8476483674126 ]



Parameters (Session):
Parameters (R input):
par1 = 0.95 ; par2 = 100 ;
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')