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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 computationThu, 23 Oct 2014 13:01:34 +0100
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2014/Oct/23/t1414065705lkpgdngom94y5u1.htm/, Retrieved Fri, 10 May 2024 08:25:25 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=245708, Retrieved Fri, 10 May 2024 08:25:25 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact80
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]
- RM D    [Testing Mean with unknown Variance - Critical Value] [] [2014-10-14 18:43:28] [32b17a345b130fdf5cc88718ed94a974]
-   PD      [Testing Mean with unknown Variance - Critical Value] [WSH 4 Task 4] [2014-10-23 11:57:52] [4e6b221caf797a012ce5465db674848b]
-    D          [Testing Mean with unknown Variance - Critical Value] [WSH 4 Task 4] [2014-10-23 12:01:34] [ecc8a223a6799628ce1dc096d32923a0] [Current]
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Dataseries X:
102
112
118
122
106
149
122
86
117
97
132
87
101
115
109
159
131
120
86
105
100
132
105
121
120
126
138
118
130
103
129
150
88
125
112
144
127
117
108
139
97
115
95
91
102
124
106
125
130
79
108
136
108
139
110
114
118
120
108
130
130
112
94




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time0 seconds
R Server'Gwilym Jenkins' @ jenkins.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 & 0 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ jenkins.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=245708&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' @ jenkins.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=245708&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=245708&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' @ jenkins.wessa.net







Hypothesis Test about the Mean - Confidence Interval
Sample size63
Sample standard deviation17.0670944886854
Confidence95
Null hypothesis20
Sample Mean115.857142857143
2-sided Confidence Interval[ NaN , NaN ]
Left-sided Confidence Interval[ NaN , +inf ]
Right-sided Confidence Interval[ -inf, NaN ]

\begin{tabular}{lllllllll}
\hline
Hypothesis Test about the Mean - Confidence Interval \tabularnewline
Sample size & 63 \tabularnewline
Sample standard deviation & 17.0670944886854 \tabularnewline
Confidence & 95 \tabularnewline
Null hypothesis & 20 \tabularnewline
Sample Mean & 115.857142857143 \tabularnewline
2-sided Confidence Interval & [ NaN , NaN ] \tabularnewline
Left-sided Confidence Interval & [ NaN , +inf ] \tabularnewline
Right-sided Confidence Interval & [ -inf,  NaN ] \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=245708&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]17.0670944886854[/C][/ROW]
[ROW][C]Confidence[/C][C]95[/C][/ROW]
[ROW][C]Null hypothesis[/C][C]20[/C][/ROW]
[ROW][C]Sample Mean[/C][C]115.857142857143[/C][/ROW]
[ROW][C]2-sided Confidence Interval[/C][C][ NaN , NaN ][/C][/ROW]
[ROW][C]Left-sided Confidence Interval[/C][C][ NaN , +inf ][/C][/ROW]
[ROW][C]Right-sided Confidence Interval[/C][C][ -inf,  NaN ][/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=245708&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=245708&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 size63
Sample standard deviation17.0670944886854
Confidence95
Null hypothesis20
Sample Mean115.857142857143
2-sided Confidence Interval[ NaN , NaN ]
Left-sided Confidence Interval[ NaN , +inf ]
Right-sided Confidence Interval[ -inf, NaN ]



Parameters (Session):
par1 = 95 ; par2 = 20 ;
Parameters (R input):
par1 = 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')