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plt.hist(generated_scores, bins=20) plt.xlabel("Score") plt.ylabel("Frequency") plt.title("Histogram of Generated Scores") plt.show()

import numpy as np import pandas as pd

To verify the random cricket score generator, we compared the generated scores with historical cricket data. We collected data on international cricket matches from 2010 to 2020 and calculated the mean and standard deviation of the scores.

# Calculate mean and standard deviation of generated scores mean_generated = np.mean(generated_scores) std_dev_generated = np.std(generated_scores)

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