.. only:: html

    .. note::
        :class: sphx-glr-download-link-note

        Click :ref:`here <sphx_glr_download_auto_data_analysis_statistical_hypothesis_testing_plot_cramer_vonmises_test.py>`     to download the full example code
    .. rst-class:: sphx-glr-example-title

    .. _sphx_glr_auto_data_analysis_statistical_hypothesis_testing_plot_cramer_vonmises_test.py:


Cramer-Von Mises normality test
===============================

In this example we are going to evaluate whether a sample follows a normal distribution.


.. code-block:: default

    from __future__ import print_function
    import openturns as ot
    import openturns.viewer as viewer
    from matplotlib import pylab as plt
    ot.Log.Show(ot.Log.NONE)








Generate a sample


.. code-block:: default

    sample = ot.Normal().getSample(200)








Test normality


.. code-block:: default

    test_result = ot.NormalityTest.CramerVonMisesNormal(sample)
    print('Component is normal?', test_result.getBinaryQualityMeasure(),
          'p-value=%.6g' % test_result.getPValue(),
          'threshold=%.6g' % test_result.getThreshold())




.. rst-class:: sphx-glr-script-out

 Out:

 .. code-block:: none

    Component is normal? True p-value=0.778876 threshold=0.05





.. rst-class:: sphx-glr-timing

   **Total running time of the script:** ( 0 minutes  0.001 seconds)


.. _sphx_glr_download_auto_data_analysis_statistical_hypothesis_testing_plot_cramer_vonmises_test.py:


.. only :: html

 .. container:: sphx-glr-footer
    :class: sphx-glr-footer-example



  .. container:: sphx-glr-download sphx-glr-download-python

     :download:`Download Python source code: plot_cramer_vonmises_test.py <plot_cramer_vonmises_test.py>`



  .. container:: sphx-glr-download sphx-glr-download-jupyter

     :download:`Download Jupyter notebook: plot_cramer_vonmises_test.ipynb <plot_cramer_vonmises_test.ipynb>`


.. only:: html

 .. rst-class:: sphx-glr-signature

    `Gallery generated by Sphinx-Gallery <https://sphinx-gallery.github.io>`_