A/B Test Results ECDF

import matplotlib.pyplot as plt
import numpy as np

fig, ax = plt.subplots(figsize=(10, 6), facecolor='#ffffff')
ax.set_facecolor('#ffffff')

np.random.seed(42)
control = np.random.normal(50, 10, 400)
treatment = np.random.normal(55, 12, 400)

ax.ecdf(control, color='#6366f1', linewidth=2.5, label='Control')
ax.ecdf(treatment, color='#22c55e', linewidth=2.5, label='Treatment')

ax.set_xlabel('Conversion Value', fontsize=12, color='#1f2937')
ax.set_ylabel('Cumulative Probability', fontsize=12, color='#1f2937')
ax.set_title('A/B Test Results Comparison', fontsize=16, fontweight='bold', color='#1f2937', pad=20)
ax.legend(loc='lower right')
ax.grid(True, alpha=0.3)

for spine in ['top', 'right']:
    ax.spines[spine].set_visible(False)

plt.tight_layout()