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Solve the following problem using Python, implementing the functions described below, one line at a time
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Description:
 def confidence_interval_dichotomous( point_estimate, sample_size, confidence=.95, bias=False, percentage=True, **kwargs ):
 """Dichotomous confidence interval from sample size and maybe a bias"""

    alpha = ppf((confidence + 1) / 2, sample_size - 1)
    p = point_estimate
    if percentage:
        p /= 100

    margin = sqrt(p * (1 - p) / sample_size)
    if bias:
        margin += .5 / sample_size
    if percentage:
        margin *= 100

    return (point_estimate - alpha * margin, point_estimate + alpha * margin)