Provides a one-sample hypothesis test. The test assumes that the underlying population is normal and furthermore that \(\sigma\) is known.

one.sample.z

Contains functions from: Aho, K. (2014) Foundational and Applied Statistics for Biologists using R.  CRC/Taylor and Francis, Boca Raton, FL, ISBN: 978-1-4398-7338-0.

Ken Aho

asbio

A Collection of Statistical Tools for Biologists

one.sample.z function

One sample z-test — one.sample.z

<dl>

 <dt>data</dt>
<dd>A vector of quantitative data. Not required if <code>xbar</code> and <code>n</code> are supplied by the user.</dd>

 <dt>null.mu</dt>
<dd>The expectation for the null distribution.</dd>

 <dt>xbar</dt>
<dd>Sample mean. Not required if <code>is.null(data)==FALSE</code></dd>

 <dt>sigma</dt>
<dd>The null distribution standard deviation</dd>

 <dt>n</dt>
<dd>The sample size. Not required if <code>is.null(data)==FALSE</code></dd>

 <dt>alternative</dt>
<dd>Type of test. One of three must be specified <code>"two.sided", "less"</code>, or <code>"greater"</code></dd>

 <dt>conf</dt>
<dd>Confidence level.</dd>

 <dt>na.rm</dt>
<dd>Logical, indicate whether <code>NA</code> values should be stripped before the computation proceeds.</dd>

 <dt>fpc</dt>
<dd>A logical statement specifying whether a finite population correction should be made. If <code>fpc = TRUE</code> the population size <code>N</code> must be specified.</dd>

 <dt>N</dt>
<dd>The population size. Required if <code>fpc=TRUE</code></dd>

</dl>

Arguments

Ken Aho. Thanks to Anderson Canteli for identifying a bug in the function for asbio versions &lt; 1.9-6.

one.sample.z: One sample z-test

Description

Usage

Arguments

Value

Details

See Also

Examples