常態分佈導論

Statistical Thinking in Python (Part 1)

Justin Bois

Teaching Professor at the California Institute of Technology

常態分佈

描述連續變數，PDF 為單一對稱峰。

常態分佈

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常態分佈

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常態分佈

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常態分佈

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常態分佈

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比較資料與常態 PDF

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檢查 Michelson 資料的常態性

import numpy as np
rng = np.random.default_rng()

mean = np.mean(michelson_speed_of_light)
std = np.std(michelson_speed_of_light)

samples = rng.normal(mean, std, size=10000)
x, y = ecdf(michelson_speed_of_light)
x_theor, y_theor = ecdf(samples)

檢查 Michelson 資料的常態性

import matplotlib.pyplot as plt
import seaborn as sns
sns.set()
_ = plt.plot(x_theor, y_theor)
_ = plt.plot(x, y, marker='.', linestyle='none')
_ = plt.xlabel('speed of light (km/s)')
_ = plt.ylabel('CDF')
plt.show()

檢查 Michelson 資料的常態性

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一起來練習吧！

Statistical Thinking in Python (Part 1)