Hypothesis Testing

Summary

The statistical framework (p-values, significance levels, t-tests) for deciding whether an observed effect is real or due to chance — used in A/B testing model changes.

• 1Learn the logic of null vs. alternative hypotheses and p-values.
• 2Run a simple t-test in Python (scipy.stats) on two sample groups.
• 3Understand common pitfalls: p-hacking, misinterpreting p-values.