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<table width="100%" summary="page for womensrole"><tr><td>womensrole</td><td align="right">R Documentation</td></tr></table>

<h2> Womens Role in Society </h2>

<h3>Description</h3>


<p>Data from a survey from 1974 / 1975 asking both female and male
responders about their opinion on the statement: Women
should take care of running their homes and leave running the   
country up to men.
</p>


<h3>Usage</h3>

<pre>data("womensrole")</pre>


<h3>Format</h3>


<p>A data frame with 42 observations on the following 4 variables.
</p>

<dl>
<dt><code>education</code></dt><dd><p>years of education.</p>
</dd>
<dt><code>sex</code></dt><dd><p>a factor with levels <code>Male</code> and <code>Female</code>.</p>
</dd>
<dt><code>agree</code></dt><dd><p>number of subjects in agreement with the statement.</p>
</dd>
<dt><code>disagree</code></dt><dd><p>number of subjects in disagreement with the 
statement.</p>
</dd>
</dl>



<h3>Details</h3>


<p>The data are from Haberman (1973) and also given in
Collett (2003). The questions here are whether the response of men and women 
differ.
</p>


<h3>Source</h3>


<p>S. J. Haberman (1973), The analysis of residuals in cross-classificed
tables. <EM>Biometrics</EM>, <B>29</B>, 205&ndash;220.
</p>
<p>D. Collett (2003), <EM>Modelling Binary Data</EM>. Chapman and Hall / CRC,
London. 2nd edition.
</p>


<h3>Examples</h3>

<pre>

  data("womensrole", package = "HSAUR")
  summary(subset(womensrole, sex == "Female"))
  summary(subset(womensrole, sex == "Male"))

</pre>


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