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Description of Statistical Computation

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 computationMon, 25 Oct 2010 17:10:23 +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/25/t1288026546rarknl40qo68erj.htm/, Retrieved Mon, 29 Apr 2024 17:56:09 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=88218, Retrieved Mon, 29 Apr 2024 17:56:09 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact183

Tree of Dependent Computations

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] [Hypothesis Testing] [2010-10-22 12:19:22] [c7506ced21a6c0dca45d37c8a93c80e0]
F         [Testing Mean with unknown Variance - Critical Value] [question 2 worksh...] [2010-10-25 17:10:23] [b881b0959d750616b68c30017e4e0761] [Current]
F R  D      [Testing Mean with unknown Variance - Critical Value] [] [2010-10-26 11:49:37] [22937c5b58c14f6c22964f32d64ff823]
-   P         [Testing Mean with unknown Variance - Critical Value] [Verbetering w4 q2] [2010-10-29 13:25:40] [87d60b8864dc39f7ed759c345edfb471]
- R PD      [Testing Mean with unknown Variance - Critical Value] [] [2010-10-27 17:13:22] [22937c5b58c14f6c22964f32d64ff823]
- R PD      [Testing Mean with unknown Variance - Critical Value] [] [2010-10-27 17:18:53] [22937c5b58c14f6c22964f32d64ff823]
- R PD      [Testing Mean with unknown Variance - Critical Value] [] [2010-10-27 17:23:44] [22937c5b58c14f6c22964f32d64ff823]
Feedback Forum
2010-11-01 14:51:38 [abfc2690eac87da053eb0d612ccdbe5b] [reply] 
Hier heb je een algemene berekening gemaakt, maar niet voor de 3 verschillende nulhypothesen die je voorstelde in opdracht 1. Je hebt ook kolom post 1 uit de excelfile genomen. Met die gegevens alleen kan je niet bekijken of de treatment tot een beter resultaat leidde, want je weet niet wat de evolutie is, daarvoor heb je immers ook de pre-test scores voor nodig. Ik had daarom geopteerd voor de gegevens van kolom post1-pre in te voeren. Je hebt voor de geblogde link wel de juiste keuze gemaakt uit de lijst met mogelijke berekeningsopties.

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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
1
1
1
0
1
1
1
1
1
1
0
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1

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Sir Ronald Aylmer Fisher' @ 193.190.124.24

\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 & 'Sir Ronald Aylmer Fisher' @ 193.190.124.24 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=88218&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]'Sir Ronald Aylmer Fisher' @ 193.190.124.24[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=88218&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=88218&T=0

As an alternative you can also use a QR Code:  
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'Sir Ronald Aylmer Fisher' @ 193.190.124.24






Hypothesis Test about the Mean - Confidence Interval
Sample size105
Sample standard deviation0.482856275873249
Confidence0.95
Null hypothesisNA
Sample Mean0.638095238095238
2-sided Confidence Interval[ 0.544650647911813 , 0.731539828278663 ]
Left-sided Confidence Interval[ 0.559889889957816 , +inf ]
Right-sided Confidence Interval[ -inf, 0.71630058623266 ]

\begin{tabular}{lllllllll}
\hline
Hypothesis Test about the Mean - Confidence Interval \tabularnewline
Sample size & 105 \tabularnewline
Sample standard deviation & 0.482856275873249 \tabularnewline
Confidence & 0.95 \tabularnewline
Null hypothesis & NA \tabularnewline
Sample Mean & 0.638095238095238 \tabularnewline
2-sided Confidence Interval & [ 0.544650647911813 , 0.731539828278663 ] \tabularnewline
Left-sided Confidence Interval & [ 0.559889889957816 , +inf ] \tabularnewline
Right-sided Confidence Interval & [ -inf,  0.71630058623266 ] \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=88218&T=1

[TABLE]
[ROW][C]Hypothesis Test about the Mean - Confidence Interval[/C][/ROW]
[ROW][C]Sample size[/C][C]105[/C][/ROW]
[ROW][C]Sample standard deviation[/C][C]0.482856275873249[/C][/ROW]
[ROW][C]Confidence[/C][C]0.95[/C][/ROW]
[ROW][C]Null hypothesis[/C][C]NA[/C][/ROW]
[ROW][C]Sample Mean[/C][C]0.638095238095238[/C][/ROW]
[ROW][C]2-sided Confidence Interval[/C][C][ 0.544650647911813 , 0.731539828278663 ][/C][/ROW]
[ROW][C]Left-sided Confidence Interval[/C][C][ 0.559889889957816 , +inf ][/C][/ROW]
[ROW][C]Right-sided Confidence Interval[/C][C][ -inf,  0.71630058623266 ][/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=88218&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=88218&T=1

As an alternative you can also use a QR Code:  
QR Code


The GUIDs for individual cells are displayed in the table below:

Hypothesis Test about the Mean - Confidence Interval
Sample size105
Sample standard deviation0.482856275873249
Confidence0.95
Null hypothesisNA
Sample Mean0.638095238095238
2-sided Confidence Interval[ 0.544650647911813 , 0.731539828278663 ]
Left-sided Confidence Interval[ 0.559889889957816 , +inf ]
Right-sided Confidence Interval[ -inf, 0.71630058623266 ]


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = 0.95 ; par2 = 0,466666667 ;
Parameters (R input):
par1 = 0.95 ; par2 = 0,466666667 ;
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')