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** 2 def remove_variable(self, x: float): self.n -= 1 self.Ex -= x - self.K self.Ex2 -= (x - self.K) ** 2

def add_variables(self, xs: list[float]): # Python uses Neumaier's algorithm for the builtin sum() function, # which is more accurate than a simple loop. if self.n == 0 and xs: self.K = xs[0] self.n += len(xs) self.Ex += sum(x - self.K for x in xs) self.Ex2 += sum((x - self.K) ** 2 for x in xs) def get_mean(self) -> float: return self.K

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