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Calculating sample size

Let's finish up our dive into statistical tests by performing power analysis to generate needed sample size. Power analysis involves four moving parts:

  • Sample size
  • Effect size
  • Minimum effect
  • Power

In this exercise, you're working with a website and want to test for a difference in conversion rate. Before you begin the experiment, you must decide how many samples you'll need per variant using 5% significance and 95% power.

This exercise is part of the course

Practicing Statistics Interview Questions in Python

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Hands-on interactive exercise

Have a go at this exercise by completing this sample code.

# Standardize the effect size
from statsmodels.stats.proportion import proportion_effectsize
std_effect = ____
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