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<h2 class="chapter">26 Statistics</h2>
<p>Octave has support for various statistical methods. This includes
basic descriptive statistics, probability distributions, statistical tests,
random number generation, and much more.
<p>The functions that analyze data all assume that multi-dimensional data
is arranged in a matrix where each row is an observation, and each
column is a variable. Thus, the matrix defined by
<pre class="example"> a = [ 0.9, 0.7;
0.1, 0.1;
0.5, 0.4 ];
</pre>
<p class="noindent">contains three observations from a two-dimensional distribution.
While this is the default data arrangement, most functions support
different arrangements.
<p>It should be noted that the statistics functions don't test for data
containing NaN, NA, or Inf. These values need to be detected and dealt
with explicitly. See <a href="doc_002disnan.html#doc_002disnan">isnan</a>, <a href="doc_002disna.html#doc_002disna">isna</a>,
<a href="doc_002disinf.html#doc_002disinf">isinf</a>, <a href="doc_002disfinite.html#doc_002disfinite">isfinite</a>.
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<li><a accesskey="1" href="Descriptive-Statistics.html#Descriptive-Statistics">Descriptive Statistics</a>
<li><a accesskey="2" href="Basic-Statistical-Functions.html#Basic-Statistical-Functions">Basic Statistical Functions</a>
<li><a accesskey="3" href="Statistical-Plots.html#Statistical-Plots">Statistical Plots</a>
<li><a accesskey="4" href="Correlation-and-Regression-Analysis.html#Correlation-and-Regression-Analysis">Correlation and Regression Analysis</a>
<li><a accesskey="5" href="Distributions.html#Distributions">Distributions</a>
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