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Naive p-value calculation
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| import numpy as np | |
| poisson_mean = 7.56 | |
| poisson_sigma = 0.61 | |
| observation = 14 | |
| trials = int(1e7) | |
| expectation = np.random.normal(poisson_mean, poisson_sigma, trials) | |
| counts = np.random.poisson(expectation) | |
| import matplotlib.pyplot as plt | |
| plt.hist(counts, bins=100) | |
| plt.show() | |
| print(1.*len(counts[counts>=observation])/len(counts) ) | |
| # 0.0257866 |
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