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Description of Statistical Computation

Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_samplenorm.wasp
Title produced by softwareMinimum Sample Size - Testing Mean
Date of computationMon, 25 Oct 2010 22:09:12 +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/t1288044528d0rcid0goac0tw9.htm/, Retrieved Sat, 27 Apr 2024 06:34:44 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=88641, Retrieved Sat, 27 Apr 2024 06:34:44 +0000
QR Codes:

Original text written by user:
IsPrivate?This computation is/was private until 2010-10-27
User-defined keywords
Estimated Impact1030

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Minimum Sample Size - Testing Mean] [] [2010-10-25 22:09:12] [d76b387543b13b5e3afd8ff9e5fdc89f] [Current]
-   P     [Minimum Sample Size - Testing Mean] [workshop 4 Q 11] [2010-10-28 11:52:44] [87d60b8864dc39f7ed759c345edfb471]
-           [Minimum Sample Size - Testing Mean] [W4-verbetering11] [2010-11-02 09:01:14] [48146708a479232c43a8f6e52fbf83b4]
-   P     [Minimum Sample Size - Testing Mean] [Q 11] [2010-10-28 18:53:04] [97ad38b1c3b35a5feca8b85f7bc7b3ff]
-   P     [Minimum Sample Size - Testing Mean] [Workshop 4 questi...] [2010-11-18 13:54:23] [1ec36cc0fd92fd0f07d0b885ce2c369b]
-   P     [Minimum Sample Size - Testing Mean] [] [2010-11-18 16:17:47] [f47feae0308dca73181bb669fbad1c56]
-   P     [Minimum Sample Size - Testing Mean] [] [2010-11-18 18:42:49] [adca540665f1dd1a5a4406fd7f55bdf4]
-   P     [Minimum Sample Size - Testing Mean] [Vraag 11] [2010-11-18 19:01:34] [4f1a20f787b3465111b61213cdeef1a9]
- R P     [Minimum Sample Size - Testing Mean] [ws4TimDamen] [2011-01-24 13:07:42] [74be16979710d4c4e7c6647856088456]
- R       [Minimum Sample Size - Testing Mean] [] [2011-10-20 16:11:57] [b4c8fd31b0af00c33711722ddf8d2c4c]
-   P       [Minimum Sample Size - Testing Mean] [WS 4 Question 11] [2012-10-23 18:44:36] [04ad92fd38637a2baad7dd3848f865a0]
- R P     [Minimum Sample Size - Testing Mean] [WS 4 - vraag 11] [2011-10-22 09:28:19] [6a3e51c0c7ab195427042dfaef1df5a0]
- RMP     [Minimum Sample Size - Testing Mean] [Week 4 Opdracht 11] [2011-10-23 15:56:38] [d2d464c5b110c95dc0c66eb9ae81f8ec]
- R P     [Minimum Sample Size - Testing Mean] [question 11] [2011-10-24 19:18:35] [bcad5ea7a7be31884500e96b7abaff18]
- R P     [Minimum Sample Size - Testing Mean] [WS4.11] [2011-10-25 15:46:31] [9b13650c94c5192ca5135ec8a1fa39f7]
- R P     [Minimum Sample Size - Testing Mean] [Taak 11] [2011-10-25 19:12:11] [088a244c534fec2347300624359db3c1]
- RMP     [Minimum Sample Size - Testing Mean] [verbetering works...] [2011-10-30 18:37:18] [fbaf17a8836493f6de0f4e0e997711e1]
- RMPD    [Paired and Unpaired Two Samples Tests about the Mean] [WS 5 - Q1] [2011-10-31 14:04:48] [586787d3e7267c593af3e1f6b16aa21a]
- R  D      [Paired and Unpaired Two Samples Tests about the Mean] [] [2011-11-07 19:03:19] [74be16979710d4c4e7c6647856088456]
- R  D      [Paired and Unpaired Two Samples Tests about the Mean] [] [2011-11-07 19:21:09] [74be16979710d4c4e7c6647856088456]
-    D        [Paired and Unpaired Two Samples Tests about the Mean] [] [2011-11-07 19:24:22] [74be16979710d4c4e7c6647856088456]
-    D          [Paired and Unpaired Two Samples Tests about the Mean] [] [2011-11-07 19:28:14] [74be16979710d4c4e7c6647856088456]
- R P             [Paired and Unpaired Two Samples Tests about the Mean] [Treatment S] [2011-11-07 21:57:27] [586787d3e7267c593af3e1f6b16aa21a]
- R P               [Paired and Unpaired Two Samples Tests about the Mean] [Treatment S] [2011-11-07 22:09:31] [586787d3e7267c593af3e1f6b16aa21a]
- R P           [Paired and Unpaired Two Samples Tests about the Mean] [treatment E] [2011-11-07 21:54:22] [586787d3e7267c593af3e1f6b16aa21a]
- R P             [Paired and Unpaired Two Samples Tests about the Mean] [Treatment E] [2011-11-07 22:06:09] [586787d3e7267c593af3e1f6b16aa21a]
-  M            [Paired and Unpaired Two Samples Tests about the Mean] [] [2011-11-15 23:27:52] [46d7ccc24e5d35a2decd922dfb3b3a39]
- R           [Paired and Unpaired Two Samples Tests about the Mean] [WS 5 - Q5] [2011-11-07 21:48:59] [586787d3e7267c593af3e1f6b16aa21a]
-  M          [Paired and Unpaired Two Samples Tests about the Mean] [] [2011-11-15 23:27:13] [46d7ccc24e5d35a2decd922dfb3b3a39]
- R         [Paired and Unpaired Two Samples Tests about the Mean] [] [2011-11-07 20:13:37] [74be16979710d4c4e7c6647856088456]
-  M          [Paired and Unpaired Two Samples Tests about the Mean] [] [2011-11-15 23:26:16] [46d7ccc24e5d35a2decd922dfb3b3a39]
- R         [Paired and Unpaired Two Samples Tests about the Mean] [] [2011-11-07 20:14:33] [74be16979710d4c4e7c6647856088456]
- RMPD    [Paired and Unpaired Two Samples Tests about the Mean] [WS 5 - Q2] [2011-10-31 14:09:40] [586787d3e7267c593af3e1f6b16aa21a]
- R         [Paired and Unpaired Two Samples Tests about the Mean] [] [2011-11-07 20:15:26] [74be16979710d4c4e7c6647856088456]
-  M          [Paired and Unpaired Two Samples Tests about the Mean] [] [2011-11-15 23:26:37] [46d7ccc24e5d35a2decd922dfb3b3a39]
- R         [Paired and Unpaired Two Samples Tests about the Mean] [] [2011-11-07 20:16:42] [74be16979710d4c4e7c6647856088456]
- RMPD    [Paired and Unpaired Two Samples Tests about the Mean] [WS 5 - Q3] [2011-10-31 14:10:42] [586787d3e7267c593af3e1f6b16aa21a]
- R         [Paired and Unpaired Two Samples Tests about the Mean] [] [2011-11-07 20:18:50] [74be16979710d4c4e7c6647856088456]
-  M          [Paired and Unpaired Two Samples Tests about the Mean] [] [2011-11-15 23:26:56] [46d7ccc24e5d35a2decd922dfb3b3a39]
- RMP     [Minimum Sample Size - Testing Mean] [xcvxcvxcvx] [2011-11-04 19:35:05] [a9671b130b33f9fcb98554992ce4582f]
- R P     [Minimum Sample Size - Testing Mean] [ws4: vraag 11 .] [2011-11-06 17:36:21] [8ce6c7315af51b5eb6923c5fe455d382]
- R P     [Minimum Sample Size - Testing Mean] [] [2012-10-05 17:58:44] [8fcd082199f7dbedf65d69a953eb5ad7]
- R P     [Minimum Sample Size - Testing Mean] [j] [2012-10-08 15:01:03] [b6dc7003e7767578f97246d87c77862e]
- R P       [Minimum Sample Size - Testing Mean] [ss] [2012-12-05 15:39:53] [b6dc7003e7767578f97246d87c77862e]
- RMP     [Minimum Sample Size - Testing Mean] [] [2012-10-08 15:23:38] [3f0a8a13d98297c9ceadbbb730620b41]
- RMP     [Testing Mean with known Variance - p-value] [] [2012-10-08 15:27:35] [3f0a8a13d98297c9ceadbbb730620b41]
- RMP     [Testing Mean with known Variance - Critical Value] [] [2012-10-08 15:27:55] [3f0a8a13d98297c9ceadbbb730620b41]
- RMPD    [Paired and Unpaired Two Samples Tests about the Mean] [] [2012-10-08 15:28:17] [3f0a8a13d98297c9ceadbbb730620b41]
- R P     [Minimum Sample Size - Testing Mean] [] [2012-10-08 15:28:41] [3f0a8a13d98297c9ceadbbb730620b41]

[Truncated]
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Dataset

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'RServer@AstonUniversity' @ vre.aston.ac.uk

\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 & 'RServer@AstonUniversity' @ vre.aston.ac.uk \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=88641&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]'RServer@AstonUniversity' @ vre.aston.ac.uk[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=88641&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=88641&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'RServer@AstonUniversity' @ vre.aston.ac.uk






Minimum Sample Size
Population Size105
Margin of Error1
Confidence0.95
Power0.95
Population Variance13
z(alpha/2) + z(beta)3.60481761149153
z(alpha) + z(beta)3.28970725390294
Minimum Sample Size (2 sided test)64.9899212937402
Minimum Sample Size (1 sided test)60.3717860543336

\begin{tabular}{lllllllll}
\hline
Minimum Sample Size \tabularnewline
Population Size & 105 \tabularnewline
Margin of Error & 1 \tabularnewline
Confidence & 0.95 \tabularnewline
Power & 0.95 \tabularnewline
Population Variance & 13 \tabularnewline
z(alpha/2) + z(beta) & 3.60481761149153 \tabularnewline
z(alpha) + z(beta) & 3.28970725390294 \tabularnewline
Minimum Sample Size (2 sided test) & 64.9899212937402 \tabularnewline
Minimum Sample Size (1 sided test) & 60.3717860543336 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=88641&T=1

[TABLE]
[ROW][C]Minimum Sample Size[/C][/ROW]
[ROW][C]Population Size[/C][C]105[/C][/ROW]
[ROW][C]Margin of Error[/C][C]1[/C][/ROW]
[ROW][C]Confidence[/C][C]0.95[/C][/ROW]
[ROW][C]Power[/C][C]0.95[/C][/ROW]
[ROW][C]Population Variance[/C][C]13[/C][/ROW]
[ROW][C]z(alpha/2) + z(beta)[/C][C]3.60481761149153[/C][/ROW]
[ROW][C]z(alpha) + z(beta)[/C][C]3.28970725390294[/C][/ROW]
[ROW][C]Minimum Sample Size (2 sided test)[/C][C]64.9899212937402[/C][/ROW]
[ROW][C]Minimum Sample Size (1 sided test)[/C][C]60.3717860543336[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=88641&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=88641&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:

Minimum Sample Size
Population Size105
Margin of Error1
Confidence0.95
Power0.95
Population Variance13
z(alpha/2) + z(beta)3.60481761149153
z(alpha) + z(beta)3.28970725390294
Minimum Sample Size (2 sided test)64.9899212937402
Minimum Sample Size (1 sided test)60.3717860543336






Minimum Sample Size (for Infinite Populations)
Population Sizeinfinite
Margin of Error1
Confidence0.95
Power0.95
Population Variance13
z(alpha/2) + z(beta)3.60481761149153
z(alpha) + z(beta)3.28970725390294
Minimum Sample Size (2 sided test)168.931230157553
Minimum Sample Size (1 sided test)140.688259612961

\begin{tabular}{lllllllll}
\hline
Minimum Sample Size (for Infinite Populations) \tabularnewline
Population Size & infinite \tabularnewline
Margin of Error & 1 \tabularnewline
Confidence & 0.95 \tabularnewline
Power & 0.95 \tabularnewline
Population Variance & 13 \tabularnewline
z(alpha/2) + z(beta) & 3.60481761149153 \tabularnewline
z(alpha) + z(beta) & 3.28970725390294 \tabularnewline
Minimum Sample Size (2 sided test) & 168.931230157553 \tabularnewline
Minimum Sample Size (1 sided test) & 140.688259612961 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=88641&T=2

[TABLE]
[ROW][C]Minimum Sample Size (for Infinite Populations)[/C][/ROW]
[ROW][C]Population Size[/C][C]infinite[/C][/ROW]
[ROW][C]Margin of Error[/C][C]1[/C][/ROW]
[ROW][C]Confidence[/C][C]0.95[/C][/ROW]
[ROW][C]Power[/C][C]0.95[/C][/ROW]
[ROW][C]Population Variance[/C][C]13[/C][/ROW]
[ROW][C]z(alpha/2) + z(beta)[/C][C]3.60481761149153[/C][/ROW]
[ROW][C]z(alpha) + z(beta)[/C][C]3.28970725390294[/C][/ROW]
[ROW][C]Minimum Sample Size (2 sided test)[/C][C]168.931230157553[/C][/ROW]
[ROW][C]Minimum Sample Size (1 sided test)[/C][C]140.688259612961[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=88641&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=88641&T=2

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


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

Minimum Sample Size (for Infinite Populations)
Population Sizeinfinite
Margin of Error1
Confidence0.95
Power0.95
Population Variance13
z(alpha/2) + z(beta)3.60481761149153
z(alpha) + z(beta)3.28970725390294
Minimum Sample Size (2 sided test)168.931230157553
Minimum Sample Size (1 sided test)140.688259612961






Minimum Sample Size (Unknown Population Variance)
Population Size105
Margin of Error1
Confidence0.95
Power0.95
Population Varianceunknown
t(alpha/2) + t(beta)3.66675260030667
t(alpha) + t(beta)3.34185224422168
Minimum Sample Size (2 sided test)65.8301666270624
Minimum Sample Size (1 sided test)61.1769076976371

\begin{tabular}{lllllllll}
\hline
Minimum Sample Size (Unknown Population Variance) \tabularnewline
Population Size & 105 \tabularnewline
Margin of Error & 1 \tabularnewline
Confidence & 0.95 \tabularnewline
Power & 0.95 \tabularnewline
Population Variance & unknown \tabularnewline
t(alpha/2) + t(beta) & 3.66675260030667 \tabularnewline
t(alpha) + t(beta) & 3.34185224422168 \tabularnewline
Minimum Sample Size (2 sided test) & 65.8301666270624 \tabularnewline
Minimum Sample Size (1 sided test) & 61.1769076976371 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=88641&T=3

[TABLE]
[ROW][C]Minimum Sample Size (Unknown Population Variance)[/C][/ROW]
[ROW][C]Population Size[/C][C]105[/C][/ROW]
[ROW][C]Margin of Error[/C][C]1[/C][/ROW]
[ROW][C]Confidence[/C][C]0.95[/C][/ROW]
[ROW][C]Power[/C][C]0.95[/C][/ROW]
[ROW][C]Population Variance[/C][C]unknown[/C][/ROW]
[ROW][C]t(alpha/2) + t(beta)[/C][C]3.66675260030667[/C][/ROW]
[ROW][C]t(alpha) + t(beta)[/C][C]3.34185224422168[/C][/ROW]
[ROW][C]Minimum Sample Size (2 sided test)[/C][C]65.8301666270624[/C][/ROW]
[ROW][C]Minimum Sample Size (1 sided test)[/C][C]61.1769076976371[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=88641&T=3

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=88641&T=3

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


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

Minimum Sample Size (Unknown Population Variance)
Population Size105
Margin of Error1
Confidence0.95
Power0.95
Population Varianceunknown
t(alpha/2) + t(beta)3.66675260030667
t(alpha) + t(beta)3.34185224422168
Minimum Sample Size (2 sided test)65.8301666270624
Minimum Sample Size (1 sided test)61.1769076976371






Minimum Sample Size(Infinite Population, Unknown Population Variance)
Population Sizeinfinite
Margin of Error1
Confidence0.95
Power0.95
Population Varianceunknown
t(alpha/2) + t(beta)3.62816902032638
t(alpha) + t(beta)3.31167025401028
Minimum Sample Size (2 sided test)171.126935720729
Minimum Sample Size (1 sided test)142.573078326854

\begin{tabular}{lllllllll}
\hline
Minimum Sample Size(Infinite Population, Unknown Population Variance) \tabularnewline
Population Size & infinite \tabularnewline
Margin of Error & 1 \tabularnewline
Confidence & 0.95 \tabularnewline
Power & 0.95 \tabularnewline
Population Variance & unknown \tabularnewline
t(alpha/2) + t(beta) & 3.62816902032638 \tabularnewline
t(alpha) + t(beta) & 3.31167025401028 \tabularnewline
Minimum Sample Size (2 sided test) & 171.126935720729 \tabularnewline
Minimum Sample Size (1 sided test) & 142.573078326854 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=88641&T=4

[TABLE]
[ROW][C]Minimum Sample Size(Infinite Population, Unknown Population Variance)[/C][/ROW]
[ROW][C]Population Size[/C][C]infinite[/C][/ROW]
[ROW][C]Margin of Error[/C][C]1[/C][/ROW]
[ROW][C]Confidence[/C][C]0.95[/C][/ROW]
[ROW][C]Power[/C][C]0.95[/C][/ROW]
[ROW][C]Population Variance[/C][C]unknown[/C][/ROW]
[ROW][C]t(alpha/2) + t(beta)[/C][C]3.62816902032638[/C][/ROW]
[ROW][C]t(alpha) + t(beta)[/C][C]3.31167025401028[/C][/ROW]
[ROW][C]Minimum Sample Size (2 sided test)[/C][C]171.126935720729[/C][/ROW]
[ROW][C]Minimum Sample Size (1 sided test)[/C][C]142.573078326854[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=88641&T=4

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=88641&T=4

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


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

Minimum Sample Size(Infinite Population, Unknown Population Variance)
Population Sizeinfinite
Margin of Error1
Confidence0.95
Power0.95
Population Varianceunknown
t(alpha/2) + t(beta)3.62816902032638
t(alpha) + t(beta)3.31167025401028
Minimum Sample Size (2 sided test)171.126935720729
Minimum Sample Size (1 sided test)142.573078326854


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = 63 ; par2 = 14 ; par3 = 13 ; par4 = 0.35 ;
Parameters (R input):
par1 = 105 ; par2 = 1 ; par3 = 0.95 ; par4 = 13 ; par5 = 0.95 ;
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)
par5 <- as.numeric(par5)
(z <- abs(qnorm((1-par3)/2)) + abs(qnorm(1-par5)))
(z1 <- abs(qnorm(1-par3)) + abs(qnorm(1-par5)))
z2 <- z*z
z2one <- z1*z1
z24 <- z2 * par4
z24one <- z2one * par4
npop <- array(NA, 200)
ppop <- array(NA, 200)
for (i in 1:200)
{
ppop[i] <- i * 100
npop[i] <- ppop[i] * z24 / (z24 + (ppop[i] - 1) * par2*par2)
}
bitmap(file='pic1.png')
plot(ppop,npop, xlab='population size', ylab='sample size (2 sided test)', main = paste('Confidence',par3))
dumtext <- paste('Margin of error = ',par2)
dumtext <- paste(dumtext,' Population Var. = ')
dumtext <- paste(dumtext, par4)
mtext(dumtext)
grid()
dev.off()
par2sq <- par2 * par2
num <- par1 * z24
denom <- z24 + (par1 - 1) * par2sq
(n <- num/denom)
num1 <- par1 * z24one
denom1 <- z24one + (par1 - 1) * par2sq
(n1 <- num1/denom1)
load(file='createtable')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Minimum Sample Size',2,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Population Size',header=TRUE)
a<-table.element(a,par1)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Margin of Error',header=TRUE)
a<-table.element(a,par2)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Confidence',header=TRUE)
a<-table.element(a,par3)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Power',header=TRUE)
a<-table.element(a,par5)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Population Variance',header=TRUE)
a<-table.element(a,par4)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'z(alpha/2) + z(beta)',header=TRUE)
a<-table.element(a,z)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'z(alpha) + z(beta)',header=TRUE)
a<-table.element(a,z1)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Minimum Sample Size (2 sided test)',header=TRUE)
a<-table.element(a,n)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Minimum Sample Size (1 sided test)',header=TRUE)
a<-table.element(a,n1)
a<-table.row.end(a)
a<-table.end(a)
table.save(a,file='mytable.tab')
(ni <- z24 / (par2sq))
(ni1 <- z24one / (par2sq))
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Minimum Sample Size (for Infinite Populations)',2,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Population Size',header=TRUE)
a<-table.element(a,'infinite')
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Margin of Error',header=TRUE)
a<-table.element(a,par2)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Confidence',header=TRUE)
a<-table.element(a,par3)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Power',header=TRUE)
a<-table.element(a,par5)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Population Variance',header=TRUE)
a<-table.element(a,par4)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'z(alpha/2) + z(beta)',header=TRUE)
a<-table.element(a,z)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'z(alpha) + z(beta)',header=TRUE)
a<-table.element(a,z1)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Minimum Sample Size (2 sided test)',header=TRUE)
a<-table.element(a,ni)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Minimum Sample Size (1 sided test)',header=TRUE)
a<-table.element(a,ni1)
a<-table.row.end(a)
a<-table.end(a)
table.save(a,file='mytable.tab')
(z <- abs(qt((1-par3)/2,n-1)) + abs(qt(1-par5,n-1)))
(z1 <- abs(qt(1-par3,n1-1)) + abs(qt(1-par5,n1-1)))
z2 <- z*z
z2one <- z1*z1
z24 <- z2 * par4
z24one <- z2one * par4
par2sq <- par2 * par2
num <- par1 * z24
denom <- z24 + (par1 - 1) * par2sq
(n <- num/denom)
num1 <- par1 * z24one
denom1 <- z24one + (par1 - 1) * par2sq
(n1 <- num1/denom1)
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Minimum Sample Size (Unknown Population Variance)',2,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Population Size',header=TRUE)
a<-table.element(a,par1)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Margin of Error',header=TRUE)
a<-table.element(a,par2)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Confidence',header=TRUE)
a<-table.element(a,par3)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Power',header=TRUE)
a<-table.element(a,par5)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Population Variance',header=TRUE)
a<-table.element(a,'unknown')
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'t(alpha/2) + t(beta)',header=TRUE)
a<-table.element(a,z)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'t(alpha) + t(beta)',header=TRUE)
a<-table.element(a,z1)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Minimum Sample Size (2 sided test)',header=TRUE)
a<-table.element(a,n)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Minimum Sample Size (1 sided test)',header=TRUE)
a<-table.element(a,n1)
a<-table.row.end(a)
a<-table.end(a)
table.save(a,file='mytable.tab')
(z <- abs(qt((1-par3)/2,ni-1)) + abs(qt(1-par5,ni-1)))
(z1 <- abs(qt(1-par3,ni1-1)) + abs(qt(1-par5,ni1-1)))
z2 <- z*z
z2one <- z1*z1
z24 <- z2 * par4
z24one <- z2one * par4
(ni <- z24 / (par2sq))
(ni1 <- z24one / (par2sq))
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Minimum Sample Size
(Infinite Population, Unknown Population Variance)',2,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Population Size',header=TRUE)
a<-table.element(a,'infinite')
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Margin of Error',header=TRUE)
a<-table.element(a,par2)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Confidence',header=TRUE)
a<-table.element(a,par3)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Power',header=TRUE)
a<-table.element(a,par5)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Population Variance',header=TRUE)
a<-table.element(a,'unknown')
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'t(alpha/2) + t(beta)',header=TRUE)
a<-table.element(a,z)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'t(alpha) + t(beta)',header=TRUE)
a<-table.element(a,z1)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Minimum Sample Size (2 sided test)',header=TRUE)
a<-table.element(a,ni)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Minimum Sample Size (1 sided test)',header=TRUE)
a<-table.element(a,ni1)
a<-table.row.end(a)
a<-table.end(a)
table.save(a,file='mytable.tab')