예제 #1
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def p_value(beta_hat_j: float, sigma_hat_j: float) -> float:
    if beta_hat_j > 0:
        #if the coefficient is positive, we need to compute
        #twice the probability of seeing an even larger value"""
        return 2 * (1 - normal_cdf(beta_hat_j / sigma_hat_j))
        #"""Otherwise twice the probability of a smaller value"""
    else:
        return 2 * (normal_cdf(beta_hat_j / sigma_hat_j))
예제 #2
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def normal_probability_between(lo: float,
                               hi: float,
                               mu: float = 0,
                               sigma: float = 1) -> float:
    """The probability that an N(mu, sigma) is between lo and hi."""
    return normal_cdf(hi, mu, sigma) - normal_cdf(lo, mu, sigma)
예제 #3
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def normal_probability_above(lo: float,
                             mu: float = 0,
                             sigma: float = 1) -> float:
    """The probability that an N(mu, sigma) is greater than lo."""
    return 1 - normal_cdf(lo, mu, sigma)
def normal_probability_between(lo, hi, mu=0, sigma=1):
	return normal_cdf(hi, mu, sigma) - normal_cdf(lo, mu, sigma)
def normal_probability_above(lo, mu=0, sigma=1):
	return 1 - normal_cdf(lo, mu, sigma)