Conditional Probability

# Conditional Probability - Conditional Probability Stat113...

This preview shows pages 1–5. Sign up to view the full content.

Conditional Probability Stat113

This preview has intentionally blurred sections. Sign up to view the full version.

View Full Document
Review For a sample space of equally likely outcomes, given two events A and B… P(A) = #outcomes in A / #total outcomes P(B) = #outcomes in B / #total outcomes P(A and B) = #outcomes in both A and B / #total outcomes P(A or B) = #outcomes in either A or B or both / #total outcomes
Review For any sample space, given two events A and B… P(A or B) = P(A) + P(B) - P(A and B) P(A and B) = ??? P(A and B) ≠P(A)P(B) in general! P(A and B) = P(A)P(B) if and only if A and B are independent If we don’t know if A and B are independent, but we know P(A), P(B), and P(A and B), then we can check whether A and B are independent If P(A and B) = 0, A and B are disjoint , and have no outcomes in common

This preview has intentionally blurred sections. Sign up to view the full version.

View Full Document
Conditional Probability What’s the probability that there’s a fire truck is parked outside of my apartment between the hours of 12 and 1am on any given night? Probably very low, maybe .000001 = P(T)
This is the end of the preview. Sign up to access the rest of the document.

{[ snackBarMessage ]}

### Page1 / 10

Conditional Probability - Conditional Probability Stat113...

This preview shows document pages 1 - 5. Sign up to view the full document.

View Full Document
Ask a homework question - tutors are online