What is the difference between independent and dependent events?
PICTURE THIS: RAG CHATBOT
Simple meaning
Independent events do not change each other's probabilities, so P(A and B) equals P(A) times P(B).
WHY — Probability instead of guessing?
Why interviewers care about Probability:
contrast on Probability, not two memorised paragraphs.
the developer, then one case where picking wrong hurts.
Name the idea, why it exists, then one short example.
End with when you use it and one common pitfall.
STEPS — What happens step by step?
Before you speak the answer, walk the interviewer through these steps:
- 1Independent events do not
change each other's probabilities, so P(A and B) equals P(A) times P(B).
- 2Dependent events do: knowing
one occurred updates the chance of the other, as in drawing cards without replacement.
- 3Many naive Bayes and
A/B assumptions quietly treat events as independent, which you should check.
- 4Give an example
One tiny concrete case you can say aloud.
- 5Common mistake
What juniors usually get wrong.
- 6Close
When you pick this over the alternative.
EXAMPLE — See it in action
Here's a short line you can speak, broken into clear beats:
Note: Adapt this scaffold to your own project — keep it under 60–90 seconds.
Key takeaway
Independent events do not change each other's probabilities, so P(A and B) equals P(A) times P(B). Dependent events do: knowing one occurred updates the chance of the other, as in drawing cards without replacement.