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import math from scipy.stats import norm class HypothesisTest: def __init__(self, n, k, p0, alpha): self.n = n self.k = k self.p0 = p0 self.alpha = alpha self.p = self.k / self.n self.z = norm.ppf(1 - self.alpha/2) self.interval = self.calculate_interval() def calculate_interval(self): return (self.p - self.z*math.sqrt((self.p*(1-self.p))/self.n), self.p + self.z*math.sqrt((self.p*(1-self.p))/self.n)) def check_hypothesis(self): if self.p0 >= self.interval[0] and self.p0 <= self.interval[1]: return "Гипотеза совместима с данными" else: return "Отказ от гипотезы" test = HypothesisTest(n=7280, k=3743, p0=0.515, alpha=0.02) print(test.interval) print(test.check_hypothesis())
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