Challenge: A/B Test Simulator
Simulating A/B tests is a practical way to understand how different variants perform in growth experiments. By writing a Python function that models an A/B test, you can quickly analyze which version leads to better user conversion. This approach is essential for making data-driven decisions in growth hacking, as it helps you evaluate experiment outcomes with clear, reproducible calculations.
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Write a function called ab_test_simulator that simulates an A/B test and prints which group performed better.
- The function must take four arguments:
group_a_users,group_a_conversions,group_b_users, andgroup_b_conversions. - Calculate the conversion rate for each group: conversions divided by users.
- Print the conversion rate for each group in the format:
Group A: 120/1000 converted (12.00%)andGroup B: 150/980 converted (15.31%)(replace numbers with actual values and format the percentage to two decimal places). - Print which group performed better based on the conversion rates. If both are equal, print
Both groups performed equally. - Ensure your code works for any integer values passed for users and conversions.
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Simulating A/B tests is a practical way to understand how different variants perform in growth experiments. By writing a Python function that models an A/B test, you can quickly analyze which version leads to better user conversion. This approach is essential for making data-driven decisions in growth hacking, as it helps you evaluate experiment outcomes with clear, reproducible calculations.
Swipe to start coding
Write a function called ab_test_simulator that simulates an A/B test and prints which group performed better.
- The function must take four arguments:
group_a_users,group_a_conversions,group_b_users, andgroup_b_conversions. - Calculate the conversion rate for each group: conversions divided by users.
- Print the conversion rate for each group in the format:
Group A: 120/1000 converted (12.00%)andGroup B: 150/980 converted (15.31%)(replace numbers with actual values and format the percentage to two decimal places). - Print which group performed better based on the conversion rates. If both are equal, print
Both groups performed equally. - Ensure your code works for any integer values passed for users and conversions.
Рішення
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