Bootstrap方法

def solve():
    import numpy as np
    np.random.seed(____)
    data = [____,____,____,____,____,____,____,____,____,____]
    n_bootstrap = ____
    means = []
    for _ in range(____):
        sample = np.random.choice(data, size=len(____), replace=True)
        means.append(np.mean(____))
    lower = np.percentile(____)
    upper = np.percentile(____)
    print(____)
    print(____)