conf8.py

def normal_distribution_ci_pop_min(confidence, x_bar, sigma, n):
    return normal_distribution_ci(confidence, x_bar, sigma, n)[0]

def normal_distribution_ci_pop_max(confidence, x_bar, sigma, n):
    return normal_distribution_ci(confidence, x_bar, sigma, n)[1]

def normal_distribution_ci_text(confidence, x_bar, sigma, n):
    ci = normal_distribution_ci(confidence, x_bar, sigma, n)
    return f"The population mean lies between {ci[0]:.2f} and {ci[1]:.2f} with {confidence:.0%} confidence"

def binomial_distribution_ci_pop_min(confidence, p_hat, n):
    return binomial_distribution_ci(confidence, p_hat, n)[0]

def binomial_distribution_ci_pop_max(confidence, p_hat, n):
    return binomial_distribution_ci(confidence, p_hat, n)[1]

def binomial_distribution_ci_text(confidence, p_hat, n):
    ci = binomial_distribution_ci(confidence, p_hat, n)
    return f"The population mean lies between {ci[0]:.1%} and {ci[1]:.1%} with {confidence:.0%} confidence"