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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 15:16:11 +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/t1516716989zyb5tbr0hifdw3x.htm/, Retrieved Thu, 09 May 2024 00:22:39 +0200
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=, Retrieved Thu, 09 May 2024 00:22:39 +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:
Download CSV
Histogram
Boxplots 
26
20
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22
26
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24
26
13
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7
17
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25
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28
25
20
16
23
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23
18
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9
25
20
21
22
27
18
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20

Tables (Output of Computation)





Summary of computational transaction
Raw Input view raw input (R code)
Raw Outputview raw output of R engine
Computing time1 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 time1 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]1 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 time1 seconds
R ServerBig Analytics Cloud Computing Center






One Sample t-test
H020
Alternativetwo.sided
CI0.95
Sample Mean20.2857142857143
T-Test0.783533056502983
DF97
P-Value0.435223148845695

\begin{tabular}{lllllllll}
\hline
One Sample t-test \tabularnewline
H0 & 20 \tabularnewline
Alternative & two.sided \tabularnewline
CI & 0.95 \tabularnewline
Sample Mean & 20.2857142857143 \tabularnewline
T-Test & 0.783533056502983 \tabularnewline
DF & 97 \tabularnewline
P-Value & 0.435223148845695 \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]20[/C][/ROW]
[ROW][C]Alternative[/C][C]two.sided[/C][/ROW]
[ROW][C]CI[/C][C]0.95[/C][/ROW]
[ROW][C]Sample Mean[/C][C]20.2857142857143[/C][/ROW]
[ROW][C]T-Test[/C][C]0.783533056502983[/C][/ROW]
[ROW][C]DF[/C][C]97[/C][/ROW]
[ROW][C]P-Value[/C][C]0.435223148845695[/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
H020
Alternativetwo.sided
CI0.95
Sample Mean20.2857142857143
T-Test0.783533056502983
DF97
P-Value0.435223148845695


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = 0:1-0:011121211TRUETRUETRUETRUE12DefaultDefault-0.3FALSE12greytwo.sidedtwo.sidedtwo.sidedtwo.sidedtwo.sidedtwo.sidedgreygreygreygrey11FALSEFALSEFALSEFALSEFALSEFALSE121111200two.sidedtwo.sidedFALSEtwo.sidedtwo.sided11111111110.950.9512greygreypearsontwo.sidedgreygrey111two.sided ; par2 = 11-02001111-0.3-0.30-0.3-0.3Do not include Seasonal Dummiesno0.950,990,990,990.99noyesyesno22-0.3-0.3-0.3-0.3-0.3-0.3-0.3Do not include Seasonal DummiesDo not include Seasonal DummiesDo not include Seasonal DummiesDo not include Seasonal Dummies50.990.95-0.30.990.97221111112Do not include Seasonal Dummies1520Doublenono0.95nono2220.95 ; par3 = 20Exact Pearson Chi-Squared by Simulation11000001100No Linear Trend20151515153Exact Pearson Chi-Squared by Simulation0000000No Linear TrendNo Linear TrendNo Linear TrendNo Linear Trend0151501519330.990.990.990.990.990.99Exact Pearson Chi-Squared by SimulationNo Linear Trendadditive110.953Exact Pearson Chi-Squared by Simulation20 ; par4 = TRUETRUE1211111111211TRUE111111100P1 P5 Q1 Q3 P95 P991FALSETRUEtwo.sidedtwo.sidedtwo.sidedtwo.sidedtwo.sidedtwo.sided12two.sidedTRUE ; par5 = 1212121212121212121212121212120012pairedpairedunpairedpairedpairedpairedpaired ; par6 = 3333White NoiseWhite Noise33123332333121212123000151213 ; par7 = 11110.950.951011100100 ; par8 = 22222221002222 ; par9 = 11111010000100 ; par10 = FALSEFALSE ;
Parameters (R input):
par1 = two.sided ; par2 = 0.95 ; par3 = 20 ;
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')