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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 computationTue, 26 Oct 2010 16:27:38 +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/t1288110424wxab3n06putmarw.htm/, Retrieved Sat, 27 Apr 2024 23:26:53 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=89345, Retrieved Sat, 27 Apr 2024 23:26:53 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact154

Tree of Dependent Computations

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]
-   PD    [Testing Mean with unknown Variance - Critical Value] [Q4 I1 equals 20 male] [2010-10-22 12:41:00] [97ad38b1c3b35a5feca8b85f7bc7b3ff]
- RMPD      [Testing Mean with known Variance - Sample Size] [Sample size] [2010-10-22 13:36:15] [97ad38b1c3b35a5feca8b85f7bc7b3ff]
- RM          [Testing Variance - Confidence Intervals for Sample Variance] [Variantie mannen] [2010-10-22 14:12:22] [97ad38b1c3b35a5feca8b85f7bc7b3ff]
- RM D          [Testing Mean with unknown Variance - Critical Value] [Test treatment 1] [2010-10-22 14:33:44] [97ad38b1c3b35a5feca8b85f7bc7b3ff]
-   P             [Testing Mean with unknown Variance - Critical Value] [] [2010-10-26 08:03:27] [dc30d19c3bc2be07fe595ad36c2cf923]
F                     [Testing Mean with unknown Variance - Critical Value] [Treatment 1] [2010-10-26 16:27:38] [efffa7146cfe4c2b113f6c7f36d84ca0] [Current]
Feedback Forum
2010-10-27 16:19:22 [Pascal Wijnen] [reply] 
De interpretatie die de student bekomt is correct volgens zijn aanname dat H0=0. Deze nulhypothese is echter nergens te vinden, wat wel leuk zou zijn, want nu is het zoeken over wat het gaat.
2010-11-01 14:56:58 [abfc2690eac87da053eb0d612ccdbe5b] [reply] 
Dit antwoord zou gebaseerd moeten zijn op de nulhypothese die je invulde voor de treatments in vraag 1. Hierbij bereken je eigenlijk : H0: de post1-pre score voor de T-treatment groep = 0 en Ha: de post-pre score voor de T-treatmentgroep is ≠. Dan is de geblogde berekening wel correct.

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Dataset

Dataseries X:
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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=89345&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=89345&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=89345&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 size37
Sample standard deviation0.515524747966347
Confidence0.95
Null hypothesis0
Sample Mean0.108108108108108
2-sided Confidence Interval[ -0.063776400534094 , 0.27999261675031 ]
Left-sided Confidence Interval[ -0.0349780717693694 , +inf ]
Right-sided Confidence Interval[ -inf, 0.251194287985586 ]

\begin{tabular}{lllllllll}
\hline
Hypothesis Test about the Mean - Confidence Interval \tabularnewline
Sample size & 37 \tabularnewline
Sample standard deviation & 0.515524747966347 \tabularnewline
Confidence & 0.95 \tabularnewline
Null hypothesis & 0 \tabularnewline
Sample Mean & 0.108108108108108 \tabularnewline
2-sided Confidence Interval & [ -0.063776400534094 , 0.27999261675031 ] \tabularnewline
Left-sided Confidence Interval & [ -0.0349780717693694 , +inf ] \tabularnewline
Right-sided Confidence Interval & [ -inf,  0.251194287985586 ] \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=89345&T=1

[TABLE]
[ROW][C]Hypothesis Test about the Mean - Confidence Interval[/C][/ROW]
[ROW][C]Sample size[/C][C]37[/C][/ROW]
[ROW][C]Sample standard deviation[/C][C]0.515524747966347[/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]0.108108108108108[/C][/ROW]
[ROW][C]2-sided Confidence Interval[/C][C][ -0.063776400534094 , 0.27999261675031 ][/C][/ROW]
[ROW][C]Left-sided Confidence Interval[/C][C][ -0.0349780717693694 , +inf ][/C][/ROW]
[ROW][C]Right-sided Confidence Interval[/C][C][ -inf,  0.251194287985586 ][/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=89345&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=89345&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 size37
Sample standard deviation0.515524747966347
Confidence0.95
Null hypothesis0
Sample Mean0.108108108108108
2-sided Confidence Interval[ -0.063776400534094 , 0.27999261675031 ]
Left-sided Confidence Interval[ -0.0349780717693694 , +inf ]
Right-sided Confidence Interval[ -inf, 0.251194287985586 ]


Figures (Output of Computation)

Input Parameters & R Code

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')