45. TTest

T test

import scipy as sp
import numpy as np

import matplotlib.pyplot as plt
import seaborn as sns

46. Draw from population

Assume a distribution

sampling_means = []

for i in range(10000):
    sampling_means.append(
        np.mean(
            np.random.normal(size=10)
        )
    )

fig, ax = plt.subplots(figsize=(10,6.18))

sns.histplot(sampling_means, ax=ax, bins=20)

ax.set_xlabel("Sample Means")

Text(0.5, 0, 'Sample Means')