def uniform_hypothesis(distribution: dist.Distribution, size: int):
sample = distribution.create_sample(size)
characteristics = Characteristics(sample)
hypothesis = Hypothesis()
hyp_distribution = dist.UniformDistribution(characteristics.min(),
characteristics.max())
hypothesis.check_hypothesis(sample, hyp_distribution)
def normal_hypothesis(distribution: dist.Distribution, size: int):
sample = distribution.create_sample(size)
characteristics = Characteristics(sample)
hypothesis = Hypothesis()
hyp_distribution = dist.NormalDistribution(characteristics.mean(),
characteristics.variance())
hypothesis.check_hypothesis(sample, hyp_distribution)
def laplace_hypothesis(distribution: dist.Distribution, size: int):
sample = distribution.create_sample(size)
characteristics = Characteristics(sample)
hypothesis = Hypothesis()
hyp_distribution = dist.LaplaceDistribution(
characteristics.mean(),
characteristics.variance() / (2**0.5))
hypothesis.check_hypothesis(sample, hyp_distribution)
