Generating bootstrap replicates

Statistical Thinking in Python (Part 2)

Justin Bois

Lecturer at the California Institute of Technology

Michelson's speed of light measurements

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¹ Data: Michelson, 1880

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import numpy as np
np.random.choice([1,2,3,4,5], size=5)

array([5, 3, 5, 5, 2])

bs_sample = np.random.choice(michelson_speed_of_light,
                             size=100)

np.mean(bs_sample)

299847.79999999999

np.median(bs_sample)

299845.0

np.std(bs_sample)

83.564286025729331

Statistical Thinking in Python (Part 2)