import math

def cdf_(grades_, mu_, sigma_):
    probability_ = 0.5 * (1 + math.erf((grades_ - mu_)/(sigma_ * math.sqrt(2))))
    return probability_ * 100

mean_, st_dev_ = map(float, input().split())
grade_pass = float(input())
grade_fail = float(input())

print(round(100 - cdf_(grade_pass, mean_, st_dev_), 2))
print(round(100 - cdf_(grade_fail, mean_, st_dev_), 2))
print(round(cdf_(grade_fail, mean_, st_dev_), 2))