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Author*Unverified author*
R Software Modulerwasp_hypothesisprop2.wasp
Title produced by softwareTesting Population Proportion - P-Value
Date of computationMon, 13 Apr 2020 18:27:51 +0200
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2020/Apr/13/t1586795343l7z4pwldxowma0h.htm/, Retrieved Wed, 21 Apr 2021 07:04:36 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=319132, Retrieved Wed, 21 Apr 2021 07:04:36 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact48
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Testing Population Proportion - P-Value] [] [2020-04-13 16:27:51] [d41d8cd98f00b204e9800998ecf8427e] [Current]
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Summary of computational transaction
Raw Input view raw input (R code)
Raw Outputview raw output of R engine
Computing time0 seconds
R ServerBig Analytics Cloud Computing Center

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input view raw input (R code)  \tabularnewline
Raw Outputview raw output of R engine  \tabularnewline
Computing time0 seconds \tabularnewline
R ServerBig Analytics Cloud Computing Center \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=319132&T=0

[TABLE]
[ROW]
Summary of computational transaction[/C][/ROW] [ROW]Raw Input[/C] view raw input (R code) [/C][/ROW] [ROW]Raw Output[/C]view raw output of R engine [/C][/ROW] [ROW]Computing time[/C]0 seconds[/C][/ROW] [ROW]R Server[/C]Big Analytics Cloud Computing Center[/C][/ROW] [/TABLE] Source: https://freestatistics.org/blog/index.php?pk=319132&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=319132&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 Input view raw input (R code)
Raw Outputview raw output of R engine
Computing time0 seconds
R ServerBig Analytics Cloud Computing Center







Testing Population Proportion (normal approximation)
Sample size3482
Sample proportion0.094
Null hypothesis0.48
Type I error (alpha)0.1
p-value (1-sided)0

\begin{tabular}{lllllllll}
\hline
Testing Population Proportion (normal approximation) \tabularnewline
Sample size & 3482 \tabularnewline
Sample proportion & 0.094 \tabularnewline
Null hypothesis & 0.48 \tabularnewline
Type I error (alpha) & 0.1 \tabularnewline
p-value (1-sided) & 0 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=319132&T=1

[TABLE]
[ROW][C]Testing Population Proportion (normal approximation)[/C][/ROW]
[ROW][C]Sample size[/C][C]3482[/C][/ROW]
[ROW][C]Sample proportion[/C][C]0.094[/C][/ROW]
[ROW][C]Null hypothesis[/C][C]0.48[/C][/ROW]
[ROW][C]Type I error (alpha)[/C][C]0.1[/C][/ROW]
[ROW][C]p-value (1-sided)[/C][C]0[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=319132&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=319132&T=1

As an alternative you can also use a QR Code:  

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

Testing Population Proportion (normal approximation)
Sample size3482
Sample proportion0.094
Null hypothesis0.48
Type I error (alpha)0.1
p-value (1-sided)0



Parameters (Session):
par1 = 3482 ; par2 = 0.094 ; par3 = 0.48 ; par4 = 0.1 ;
Parameters (R input):
par1 = 3482 ; par2 = 0.094 ; par3 = 0.48 ; par4 = 0.1 ;
R code (references can be found in the software module):
par1 <- as.numeric(par1)
par2 <- as.numeric(par2)
par3 <- as.numeric(par3)
par4 <- as.numeric(par4)
u <- (par2 - par3) / sqrt(par3 * (1-par3) / par1)
pu <- pnorm(-abs(u))
load(file='createtable')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Testing Population Proportion (normal approximation)',2,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Sample size',header=TRUE)
a<-table.element(a,par1)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Sample proportion',header=TRUE)
a<-table.element(a,par2)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Null hypothesis',header=TRUE)
a<-table.element(a,par3)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Type I error (alpha)',header=TRUE)
a<-table.element(a,par4)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'p-value (1-sided)',header=TRUE)
a<-table.element(a,pu)
a<-table.row.end(a)
a<-table.end(a)
table.save(a,file='mytable.tab')