A/B Test Analysis
📋 Context
You ran an A/B test on your website. Group A (control) had 200 users, Group B (variant) had 200 users. You recorded conversion rates and need to analyze the results.
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Step 1: Simulate Data
🎯 Task
Use a seeded RNG (seed 123). Generate group_a: 200 random floats [0, 1). Generate group_b: 200 random floats [0, 1). Print the first 5 of each.
rng = np.random.default_rng(123), rng.random((200,))
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▶ Output
Run your code to see output here.