import numpy as np
from scipy.stats import mode

n = int(input())
numbers = list(map(int, input().split()))

m = np.mean(numbers)
s = round(np.std(numbers),1)
z = 1.96
std_error = (s/(np.sqrt(len(numbers))))
lower = round(m - (z*std_error), 1)
upper = round(m + (z*std_error), 1)

print(m)
print(np.median(numbers))
print(mode(numbers)[0])
print(s)
print(f'{lower} {upper}')