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Computes the Mann-Whitney U statistic
[http://en.wikipedia.org/wiki/Mann%E2%80%93Whitney_U] comparin

mannWhitneyU

calculateAsymptoticPValue

concatenateSamples

Ensures that the provided arrays fulfills the assumptions.

ensureDataConformance

Create a test instance using the given strategies for NaN's and ties. Only use
this if you are sure 

<init>

Returns the asymptotic observed significance level, or p-value
[http://www.cas.lancs.ac.uk/glossary_

mannWhitneyUTest

BufferedReader

Start an intent from android

Thrown when a program encounters the end of a file or stream during an input
operation.

java.io.EOFException

An input stream that reads bytes from a file.    
File file = ...finally  
if (in != null)  
in.clos

java.io.FileInputStream

This class represents a server-side socket that waits for incoming client
connections. A ServerSocke

java.net.ServerSocket

java.security.Permission

Factory for creating Log instances, with discovery and configuration features
similar to that employ

org.apache.commons.logging.LogFactory

org.hamcrest.core.IsNull

notifyDataSetChanged

onRequestPermissionsResult

runOnUiThread

/**
 * Computes the <a
 * href="http://en.wikipedia.org/wiki/Mann%E2%80%93Whitney_U"> Mann-Whitney
 * U statistic</a> comparing mean for two independent samples possibly of
 * different length.
 * 
 * This statistic can be used to perform a Mann-Whitney U test evaluating
 * the null hypothesis that the two independent samples has equal mean.
 * 
 * 
 * Let Xi denote the i'th individual of the first sample and
 * Yj the j'th individual in the second sample. Note that the
 * samples would often have different length.
 * 
 * 
 * Preconditions:
 * <ul>
 * <li>All observations in the two samples are independent.</li>
 * <li>The observations are at least ordinal (continuous are also ordinal).</li>
 * </ul>
 * 
 *
 * @param x the first sample
 * @param y the second sample
 * @return Mann-Whitney U statistic (maximum of Ux and Uy)
 * @throws NullArgumentException if {@code x} or {@code y} are {@code null}.
 * @throws NoDataException if {@code x} or {@code y} are zero-length.
 */

/*
         * The ranks for x is in the first x.length entries in ranks because x
         * is in the first x.length entries in z
         */

/*
         * U1 = R1 - (n1 * (n1 + 1)) / 2 where R1 is sum of ranks for sample 1,
         * e.g. x, n1 is the number of observations in sample 1.
         */

/*
         * It can be shown that U1 + U2 = n1 * n2
         */

/**
 * Computes the <a
 * href="http://en.wikipedia.org/wiki/Mann%E2%80%93Whitney_U"> Mann-Whitney
 * U statistic</a> comparing mean for two independent samples possibly of
 * different length.
 * 
 * This statistic can be used to perform a Mann-Whitney U test evaluating
 * the null hypothesis that the two independent samples has equal mean.
 * 
 * 
 * Let Xi denote the i'th individual of the first sample and
 * Yj the j'th individual in the second sample. Note that the
 * samples would often have different length.
 * 
 * Preconditions:
 * <ul>
 * <li>All observations in the two samples are independent.</li>
 * <li>The observations are at least ordinal (continuous are also ordinal).</li>
 * </ul>
 *
 * @param x the first sample
 * @param y the second sample
 * @return Mann-Whitney U statistic (maximum of Ux and Uy)
 * @throws NullArgumentException if {@code x} or {@code y} are {@code null}.
 * @throws NoDataException if {@code x} or {@code y} are zero-length.
 */

/*
         * The ranks for x is in the first x.length entries in ranks because x
         * is in the first x.length entries in z
         */

/*
         * U1 = R1 - (n1 * (n1 + 1)) / 2 where R1 is sum of ranks for sample 1,
         * e.g. x, n1 is the number of observations in sample 1.
         */

/*
         * It can be shown that U1 + U2 = n1 * n2
         */

How to use concatenateSamplesmethodin org.apache.commons.math3.stat.inference.MannWhitneyUTest

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How to use
concatenateSamples
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org.apache.commons.math3.stat.inference.MannWhitneyUTest