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Description of Statistical Computation

Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_onesampletests_mean.wasp
Title produced by softwareOne Sample Tests about the Mean
Date of computationTue, 23 Jan 2018 20:23:42 +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/2018/Jan/23/t1516735427398r08737z41gzn.htm/, Retrieved Wed, 08 May 2024 10:49:19 +0200
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=, Retrieved Wed, 08 May 2024 10:49:19 +0200
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact0

Tree of Dependent Computations

Dataset

Dataseries X:
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Tables (Output of Computation)





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=&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=&T=0

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






One Sample t-test
H015
Alternativetwo.sided
CI0.99
Sample Mean7.27932960893855
T-Test-52.6161250224477
DF178
P-Value2.0378489796787e-110

\begin{tabular}{lllllllll}
\hline
One Sample t-test \tabularnewline
H0 & 15 \tabularnewline
Alternative & two.sided \tabularnewline
CI & 0.99 \tabularnewline
Sample Mean & 7.27932960893855 \tabularnewline
T-Test & -52.6161250224477 \tabularnewline
DF & 178 \tabularnewline
P-Value & 2.0378489796787e-110 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=&T=1

[TABLE]
[ROW][C]One Sample t-test[/C][/ROW]
[ROW][C]H0[/C][C]15[/C][/ROW]
[ROW][C]Alternative[/C][C]two.sided[/C][/ROW]
[ROW][C]CI[/C][C]0.99[/C][/ROW]
[ROW][C]Sample Mean[/C][C]7.27932960893855[/C][/ROW]
[ROW][C]T-Test[/C][C]-52.6161250224477[/C][/ROW]
[ROW][C]DF[/C][C]178[/C][/ROW]
[ROW][C]P-Value[/C][C]2.0378489796787e-110[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=&T=1

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

One Sample t-test
H015
Alternativetwo.sided
CI0.99
Sample Mean7.27932960893855
T-Test-52.6161250224477
DF178
P-Value2.0378489796787e-110


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = 1111111111two.sided2211131332222212121212484848481111212FALSEFALSE12two.sidedtwo.sidedtwo.sided1two.sidedtwo.sided311FALSEFALSE1210grey111124848481111212FALSEFALSE123121248484811112FALSE12two.sidedtwo.sidedtwo.sidedtwo.sidedtwo.sided0.95two.sidedtwo.sided ; par2 = 22222222220.951122Do not include Seasonal DummiesDo not include Seasonal DummiesDo not include Seasonal DummiesDo not include Seasonal DummiesDo not include Seasonal DummiesDo not include Seasonal DummiesInclude Seasonal DummiesDo not include Seasonal DummiesDo not include Seasonal DummiesDo not include Seasonal DummiesTripleTriple11110110.30.30.30.990.990.990,990,990.99122-0.3-0.3-0.3Do not include Seasonal Dummiesno222111011-0.3-0.311111001-0.3-0.30.990.990,990.990.99500.950.99 ; par3 = 0.950.950.95Pearson Chi-SquaredExact Pearson Chi-Squared by SimulationExact Pearson Chi-Squared by Simulation0.95TRUE3200.95TRUETRUE3No Linear TrendNo Linear TrendNo Linear TrendNo Linear TrendNo Linear TrendNo Linear TrendLinear TrendNo Linear TrendNo Linear TrendNo Linear Trendadditivemultiplicative01110011111520151515152Pearson Chi-SquaredExact Pearson Chi-Squared by Simulation000No Linear Trend3301100111120110001120202020202015 ; par4 = two.sidedlessgreaterTRUETRUETRUE11112120001121212111TRUE111FALSETRUE001121212111TRUE0011121211 ; par5 = unpairedunpairedunpaired121112121212121212112121212121212121212121212 ; par6 = 0.00.00.012121212121212121212White NoiseWhite NoiseWhite NoiseWhite Noise33233312White NoiseWhite NoiseWhite Noise331White NoiseWhite NoiseWhite Noise30 ; par7 = 0.950.950.950.951101100.950.950.951110.950.950.9511 ; par8 = 21022221020 ; par9 = 11111011111 ; par10 = FALSEFALSEFALSEFALSE ;
Parameters (R input):
par1 = two.sided ; par2 = 0.99 ; par3 = 15 ;
R code (references can be found in the software module):
par2 <- as.numeric(par2)
par3 <- as.numeric(par3)
(tt <- t.test(x,mu=par3,alternative=par1,conf.level=par2))
load(file='createtable')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'One Sample t-test',2,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'H0',header=TRUE)
a<-table.element(a,tt$null.value)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Alternative',header=TRUE)
a<-table.element(a,tt$alternative)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'CI',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,mean(x))
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'T-Test',header=TRUE)
a<-table.element(a,tt$statistic)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'DF',header=TRUE)
a<-table.element(a,tt$parameter)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'P-Value',header=TRUE)
a<-table.element(a,tt$p.value)
a<-table.row.end(a)
a<-table.end(a)
table.save(a,file='mytable.tab')