Dependent Probability
Published in
2 min readJan 14, 2019
Dependent probability means the result of second event will change because of what happened first.
Refer to Khan academy: Dependent probability introduction
Two events are INDEPENDENT to each other when:
Furthermore, with concept of Conditional Probability, two events are INDEPENDENT when:
Dependent Probability & Independent Probability
▶ Practice on Khan academy: Dependent and independent events
Example
Solve:
- P(A) = 4/24
- P(B) = 4/24
- P(A & B) = 1/24
- They’re not independent because:
Example
Solve:
-
