l_norm

This package helps determining the minimum sample size required to attain some pre-fixed precision level

Using this package, one can determine the minimum sample size required so that the mean square error of the sample mean and the population mean of a distribution becomes less than some pre-determined epsilon, i.e. it helps the user to determine the minimum sample size required to attain the pre-fixed precision level by minimizing the difference between the sample mean and population mean.

Anik Paul

minsample2

The Minimum Sample Size

l_norm function

<dl><dt>n</dt>
<dd>a vector of proposed sample size</dd>
<dt>eps</dt>
<dd>a vector of the precision level</dd>
<dt>mu</dt>
<dd>the location parameter for the underlying distribution, here normal distribution(mean)</dd>
<dt>sigma</dt>
<dd>the scale parameter for the underlying distribution, here normal distribution(standard deviation)</dd></dl>

Arguments

Prints the minimum size of the sample required to get epsilon neighborhood for given value of epsilon for Normal Distribution — l_norm

<dl>

<dt>n</dt>
<dd>a vector of proposed sample size</dd>


<dt>eps</dt>
<dd>a vector of the precision level</dd>


<dt>mu</dt>
<dd>the location parameter for the underlying distribution, here normal distribution(mean)</dd>


<dt>sigma</dt>
<dd>the scale parameter for the underlying distribution, here normal distribution(standard deviation)</dd>

</dl>

l_norm: Prints the minimum size of the sample required to get epsilon neighborhood for given value of epsilon for Normal Distribution

Description

Usage

Value

Arguments

Details

References

Examples