Draw B bootstrap resamples from data, each the same size as the original and taken with replacement, and return the list of their means.

The spread of those means estimates the sampling distribution of the mean without any formula for it, which is the whole appeal of the bootstrap.

Seed np.random.seed(seed) inside solve, immediately before drawing.

Input

data = [1.0, 2.0, 3.0, 4.0, 5.0]
B = 5
seed = 0

Output

[3.6, 3.0, 2.4, 2.4, 2.6]