def test_compare_functions(self):
self.assertAlmostEqual(
bs_compare.percent_change(1.1, 1.),
10,
delta=.01
)
self.assertAlmostEqual(
bs_compare.ratio(1.1, 1.),
1.1,
delta=0.1
)
self.assertAlmostEqual(
bs_compare.percent_difference(1.1, 1.),
9.5,
delta=0.1
)
self.assertAlmostEqual(
bs_compare.difference(1.1, 1.),
.1,
delta=0.01
)
self.assertAlmostEqual(
bs_compare.ratio(
1,
1.,
),
1.,
delta=0.1
)
def test_hypothesis(group1, group2, name, group_names):
group1 = group1.groupby(
['sessionID']).median()["rating"].rename(group_names[0])
group2 = group2.groupby(
['sessionID']).median()["rating"].rename(group_names[1])
likert_plot_hypo(group1, group2, name)
print("Mittelwert von ", group1.name,
"-", group1.mean())
print("Mittelwert von ", group2.name,
"-", group2.mean())
bs_result = bs.bootstrap_ab(group1.to_numpy(),
group2.to_numpy(),
bs_stats.median,
bs_compare.percent_change)
mean_change = bs_compare.percent_change(group1.mean(), group2.mean())
print("Bootstrap Ergebnis:", bs_result)
print("Unterschied im Mittelwert von",
group1.name, "zu", group2.name, "(in Prozent)", mean_change)
print("Ist der Unterschied signifikant?", bs_result.is_significant())