Probability
We extend Grade 10 probability to include conditional probability, the multiplication rule, and independent events.
10.1 Conditional Probability & Independent Events
- Apply conditional probability: $P(A|B)=\frac{P(A\cap B)}{P(B)}$
- Apply the multiplication rule
- Test for independence: $P(A\cap B)=P(A)\cdot P(B)$
- Use contingency tables and tree diagrams
Real-World Connection
Medical testing uses conditional probability constantly. If a disease affects 1% of the population and a test is 99% accurate, the probability that a positive test result means you actually have the disease is NOT 99% — conditional probability gives the true answer, which surprises most people.
Conditional Probability
$P(A|B)$ = probability of $A$ given $B$ has occurred; $P(B)>0$
Multiplication Rule
Rearrangement of conditional probability
Property / Rule
Independent Events
Events and are independent if knowing occurred does NOT affect the probability of . Test: , equivalently .
🚨 Common Mistake
Independent ≠ Mutually Exclusive! Mutually exclusive events CANNOT both occur; independent events CAN both occur (their joint probability is just the product).
Worked Example
Conditional probability from contingency table
Problem
CAPS Cognitive Level Distribution