one.sample.t

Provides a one-sample hypothesis test. The test assumes that the underlying population is normal.

htest

univar

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.t function

<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>sd</dt>
<dd>The sample standard deviation. Not required if <code>is.null(data)==FALSE</code></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></dl>

Arguments

Ken Aho. Thanks to Samuel Hale for identifying a function bug.

Author

One sample t-test — one.sample.t

<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>sd</dt>
<dd>The sample standard deviation. Not required if <code>is.null(data)==FALSE</code></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>

</dl>

one.sample.t: One sample t-test

Description

Usage

Value

Arguments

Author

Details

See Also

Examples