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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 computationSun, 23 Oct 2011 14:22:18 -0400
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2011/Oct/23/t1319394149jzet9ff4cktf93r.htm/, Retrieved Fri, 10 May 2024 04:40:35 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=134253, Retrieved Fri, 10 May 2024 04:40:35 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact101
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] [] [2011-10-23 18:22:18] [10a6f28c51bb1cb94db47cee32729d66] [Current]
- R  D    [Testing Mean with unknown Variance - Critical Value] [] [2011-10-25 17:16:16] [7ec97e350862fea9ec6e4fa3b5b6058f]
- RMPD    [One Sample Tests about the Mean] [] [2011-10-25 17:32:37] [7ec97e350862fea9ec6e4fa3b5b6058f]
- RMPD    [Testing Mean with known Variance - Critical Value] [] [2011-10-25 17:39:13] [7ec97e350862fea9ec6e4fa3b5b6058f]
- R P       [Testing Mean with known Variance - Critical Value] [] [2011-10-25 17:45:28] [7ec97e350862fea9ec6e4fa3b5b6058f]
- RMP       [Testing Mean with known Variance - Sample Size] [] [2011-10-25 17:47:50] [7ec97e350862fea9ec6e4fa3b5b6058f]
- R P       [Testing Mean with known Variance - Critical Value] [] [2011-10-25 17:48:32] [7ec97e350862fea9ec6e4fa3b5b6058f]
- RMPD    [Testing Mean with known Variance - Critical Value] [] [2011-10-25 17:40:19] [7ec97e350862fea9ec6e4fa3b5b6058f]
- R P       [Testing Mean with known Variance - Critical Value] [] [2011-10-25 17:42:45] [7ec97e350862fea9ec6e4fa3b5b6058f]
-   P         [Testing Mean with known Variance - Critical Value] [] [2011-10-25 17:49:26] [7ec97e350862fea9ec6e4fa3b5b6058f]
- RMP         [Testing Mean with known Variance - Sample Size] [] [2011-10-25 17:51:22] [7ec97e350862fea9ec6e4fa3b5b6058f]
- RMP         [Testing Mean with known Variance - Sample Size] [] [2011-10-25 17:52:30] [7ec97e350862fea9ec6e4fa3b5b6058f]
- RMP         [Minimum Sample Size - Testing Mean] [] [2011-10-25 17:55:52] [7ec97e350862fea9ec6e4fa3b5b6058f]
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Dataseries X:
0
0
0
19
0
0
25
0
0
0
17
22
0
0
0
21
0
26
20
0
14
0
0
23
0
0
0
0
20
0
22
0
0
15
20
22
0
20
28
0
0
0
0
25
26
0
17
23
0
13
0
0
0
0
24
0
0
0
14
22
0
0
0
23
0
22
24
21
0
0
0
23
22
0
0
0
0
21
26
15
25
0
0
0
17
25
0
0
0
0
0
27
0
0
0
0
25
0
19
26
0
20
0
0
20
0
18
0
0
0
0
0
0
0
0
18
0
0
19
0
0
0
0
0
0
23
0
0
17
23
0
23
11
18
24
0
0
16
24
0
0
0
0
24
0
0
21
25
22
21
0
0
0
24
24
21
0
0
0
0
18
0




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'George Udny Yule' @ yule.wessa.net

\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 & 'George Udny Yule' @ yule.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=134253&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]'George Udny Yule' @ yule.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=134253&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=134253&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 time1 seconds
R Server'George Udny Yule' @ yule.wessa.net







Hypothesis Test about the Mean - Confidence Interval
Sample size162
Sample standard deviation10.6001726760563
Confidence0.95
Null hypothesis20
Sample Mean8.2283950617284
2-sided Confidence Interval[ 6.58371915361642 , 9.87307096984037 ]
Left-sided Confidence Interval[ 6.85058649288918 , +inf ]
Right-sided Confidence Interval[ -inf, 9.6062036305676 ]

\begin{tabular}{lllllllll}
\hline
Hypothesis Test about the Mean - Confidence Interval \tabularnewline
Sample size & 162 \tabularnewline
Sample standard deviation & 10.6001726760563 \tabularnewline
Confidence & 0.95 \tabularnewline
Null hypothesis & 20 \tabularnewline
Sample Mean & 8.2283950617284 \tabularnewline
2-sided Confidence Interval & [ 6.58371915361642 , 9.87307096984037 ] \tabularnewline
Left-sided Confidence Interval & [ 6.85058649288918 , +inf ] \tabularnewline
Right-sided Confidence Interval & [ -inf,  9.6062036305676 ] \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=134253&T=1

[TABLE]
[ROW][C]Hypothesis Test about the Mean - Confidence Interval[/C][/ROW]
[ROW][C]Sample size[/C][C]162[/C][/ROW]
[ROW][C]Sample standard deviation[/C][C]10.6001726760563[/C][/ROW]
[ROW][C]Confidence[/C][C]0.95[/C][/ROW]
[ROW][C]Null hypothesis[/C][C]20[/C][/ROW]
[ROW][C]Sample Mean[/C][C]8.2283950617284[/C][/ROW]
[ROW][C]2-sided Confidence Interval[/C][C][ 6.58371915361642 , 9.87307096984037 ][/C][/ROW]
[ROW][C]Left-sided Confidence Interval[/C][C][ 6.85058649288918 , +inf ][/C][/ROW]
[ROW][C]Right-sided Confidence Interval[/C][C][ -inf,  9.6062036305676 ][/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=134253&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=134253&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 size162
Sample standard deviation10.6001726760563
Confidence0.95
Null hypothesis20
Sample Mean8.2283950617284
2-sided Confidence Interval[ 6.58371915361642 , 9.87307096984037 ]
Left-sided Confidence Interval[ 6.85058649288918 , +inf ]
Right-sided Confidence Interval[ -inf, 9.6062036305676 ]



Parameters (Session):
par1 = 0.95 ; par2 = 20 ;
Parameters (R input):
par1 = 0.95 ; par2 = 20 ;
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')