Explain hypothesis testing: null/alternative, p-value, Type I/II errors, and choosing a test.
Hypothesis testing sits under every experiment, and what matters is reading the p-value correctly (it trips most people) and picking the right test. Here is the rigorous, plain-language answer.
Updated Sep 2026 · Grounded in real GenAI, LLM, and AI/ML engineering interview loops and written to a senior-engineer editorial bar.
Hypothesis testing sits under every experiment, and what matters is reading the p-value correctly (it trips most people) and picking the right test. Here is the rigorous, plain-language answer.
Lead with where the obvious approach breaks, because that is the judgment they are screening for — most candidates jump straight to the happy path and lose the room.
Then walk the failure back through the pipeline in order, naming the one metric the customer's exec sponsor actually cares about before you propose the fix.
