chen0040 / pysie

        print('will reject mean_1 == mean_2 (one-tail) ? ' + str(reject_one_tail))

        print('will reject mean_1 == mean_2 (two-tail) ? ' + str(reject_two_tail))

    def test_student(self):

        grp1_mu = 0.0

        grp1_sigma = 1.0

        grp1_sample_size = 29

        grp1_sample = Sample()

        grp2_mu = 0.09

        grp2_sigma = 2.0

        grp2_sample_size = 28

        grp2_sample = Sample()

        for i in range(grp1_sample_size):

            grp1_sample.add_numeric(normal(grp1_mu, grp1_sigma))

        for i in range(grp2_sample_size):

            grp2_sample.add_numeric(normal(grp2_mu, grp2_sigma))

        sampling_distribution = MeanDiffSamplingDistribution(grp1_sample_distribution=SampleDistribution(grp1_sample),

                                                             grp2_sample_distribution=SampleDistribution(grp2_sample))

        self.assertEqual(sampling_distribution.distribution_family, DistributionFamily.student_t)

        testing = MeanDiffTesting(sampling_distribution=sampling_distribution)

        print('one tail p-value: ' + str(testing.p_value_one_tail))

        print('two tail p-value: ' + str(testing.p_value_two_tail))

        reject_one_tail, reject_two_tail = testing.will_reject(0.01)

        print('will reject mean_1 == mean_2 (one-tail) ? ' + str(reject_one_tail))

        print('will reject mean_1 == mean_2 (two-tail) ? ' + str(reject_two_tail))

        self.assertFalse(reject_one_tail)

        self.assertFalse(reject_two_tail)

class ProportionDiffTestingUnitTest(unittest.TestCase):

class MeanDiffTestingUnitTest(unittest.TestCase):

    def test_normal(self):

        grp1_mu = 0.0

        grp1_sigma = 1.0

        grp1_sample_size = 31

        grp1_sample = Sample()

        grp2_mu = 0.09

        grp2_sigma = 2.0

        grp2_sample_size = 36

        grp2_sample = Sample()

        for i in range(grp1_sample_size):

            grp1_sample.add_numeric(normal(grp1_mu, grp1_sigma))

        for i in range(grp2_sample_size):

            grp2_sample.add_numeric(normal(grp2_mu, grp2_sigma))

        sampling_distribution = MeanDiffSamplingDistribution(grp1_sample_distribution=SampleDistribution(grp1_sample),

                                                             grp2_sample_distribution=SampleDistribution(grp2_sample))

        self.assertEqual(sampling_distribution.distribution_family, DistributionFamily.normal)

        testing = MeanDiffTesting(sampling_distribution=sampling_distribution)

        print('one tail p-value: ' + str(testing.p_value_one_tail))

        print('two tail p-value: ' + str(testing.p_value_two_tail))

        reject_one_tail, reject_two_tail = testing.will_reject(0.01)

        print('will reject mean_1 == mean_2 (one-tail) ? ' + str(reject_one_tail))

        print('will reject mean_1 == mean_2 (two-tail) ? ' + str(reject_two_tail))

    def test_student(self):

        grp1_mu = 0.0