import numpy as np

def ten_fair(): #Simulate 10 flips of fair coin.
    flips = np.random.randint(0,2,size=10) #Generate a random integer from 0 to 1 with the size of 10, since we flip 10 times.
    heads = 0 #Counter
    for coin in flips:
        if coin == 1:
            heads += 1 #Count each time the coin gets heads.
    if heads >= 5: #Based on the result from the previous block, we return either 1 if we have at least 5 heads and 0 if we have less than 5 heads.
        return 1
    else:
        return 0

ten_fair()

np.mean(np.array([ten_fair() for i in range(100000)]))*100