File:BernoulliTrialsCs.svg
Summary
| Description |
Čeština: Bernoulliho pokusy s pravděpodobností úspěchu p=0,5 a jejich průměrná úspěšnost v závislosti na opakování
English: Bernoulli trials with p = 0.5 and their average success depending on the # of trials |
| Date | |
| Source | Own work |
| Author | Jan Spousta |
- Zdrojový kód / source code, Python 3:
import numpy as np import matplotlib.pyplot as plt import seaborn as sns np.random.seed(0)
x = np.arange(1, 1001, 1) samples = np.random.randint(0, 2, len(x)) averages = np.cumsum(samples)/x
samples = np.random.randint(0, 2, len(x)) averages1 = np.cumsum(samples)/x
samples = np.random.randint(0, 2, len(x)) averages2 = np.cumsum(samples)/x
- plt.plot((0, 1000), (0.5, 0.5), label='Teoretická střední hodnota')
plt.plot(x, averages, label='1. řada pokusů') plt.plot(x, averages1, label='2. řada pokusů') plt.plot(x, averages2, label='3. řada pokusů')
plt.title('Bernoulliho pokusy, p = 0,5: podíl úspěchů v závislosti na počtu opakování') plt.xlabel('Počet pokusů') plt.ylabel('Podíl úspěchů') plt.ylim((0, 1)) plt.legend() plt.savefig('BernoulliTrialsCs.svg')
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