h2(#description). Description

Test of homogeneity of a given factor variable split by another factor.

h3(#variable-description). Variable description

Analysing "gender" ("Gender") with _673_ valid values whether frequency counts are distributed equally across different categories of "dwell" ("Dwelling").

"dwell" has _3_ categories:

* city
* small town
* village

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h3(#counts). Counts

<table>
<caption>Counted values: &quot;dwell&quot; and &quot;gender&quot;</caption>
<col width="23%" />
<col width="9%" />
<col width="12%" />
<col width="13%" />
<col width="6%" />
<thead>
<tr class="header">
<th align="right"> </th>
<th align="center">male</th>
<th align="center">female</th>
<th align="center">Missing</th>
<th align="center">Sum</th>
</tr>
</thead>
<tbody>
<tr class="odd">
<td align="right">*city*</td>
<td align="center">338</td>
<td align="center">234</td>
<td align="center">27</td>
<td align="center">599</td>
</tr>
<tr class="even">
<td align="right">*small town*</td>
<td align="center">28</td>
<td align="center">3</td>
<td align="center">2</td>
<td align="center">33</td>
</tr>
<tr class="odd">
<td align="right">*village*</td>
<td align="center">19</td>
<td align="center">9</td>
<td align="center">2</td>
<td align="center">30</td>
</tr>
<tr class="even">
<td align="right">*Missing*</td>
<td align="center">25</td>
<td align="center">17</td>
<td align="center">5</td>
<td align="center">47</td>
</tr>
<tr class="odd">
<td align="right">*Sum*</td>
<td align="center">410</td>
<td align="center">263</td>
<td align="center">36</td>
<td align="center">709</td>
</tr>
</tbody>
</table>

h3(#chi-squared-test). Chi-squared test

Our "null hypothetis":http://en.wikipedia.org/wiki/Null_hypothesis says that the proportion of _gender_ is indentical in each categories of _dwell_.

<table>
<caption>Pearson's Chi-squared test: @table@</caption>
<col width="23%" />
<col width="6%" />
<col width="15%" />
<thead>
<tr class="header">
<th align="center">Test statistic</th>
<th align="center">df</th>
<th align="center">P value</th>
</tr>
</thead>
<tbody>
<tr class="odd">
<td align="center">16.18</td>
<td align="center">6</td>
<td align="center">_0.01282_ &#42;</td>
</tr>
</tbody>
</table>

The chi-squared test returned the value of _16.18_ with a degree of freedom being _6_. Based on the returned "p value":http://en.wikipedia.org/wiki/P-value (_0.01282_) we could state that the null hypothesis is rejected.

<hr />

This report was generated with "R":http://www.r-project.org/ (3.0.1) and "rapport":https://rapporter.github.io/rapport/ (0.51) in _0.298_ sec on x86&#95;64-unknown-linux-gnu platform.

!images/logo.png!