Probability
Interactive curriculum lessons, worked examples, and geometric problem-solving techniques designed to help Kenyan students master CBC, KPSEA, KCSE, and IGCSE mathematics.
First Principles
Objective: Calculate the probabilities of combined events (independent and dependent) using sample space grids, tree diagrams, and multiplication rules.
Interactive Combined Event Explorer
Simulate combined probabilities for independent or dependent draws!
(a) Concrete Scenario: Every morning in Nairobi, Wanjiku takes a matatu to the bus station, then boards a connecting bus to school. The matatu is on time \(80\%\) of the days (\(P(M) = 0.8\)), and the connecting bus is on time \(70\%\) of the days (\(P(B) = 0.7\)). What is the probability that both arrive on time on a given morning?
(b) Key Definitions:
- Independent Events: The outcome of the first event does not affect the probability of the second event (e.g., rolling two dice).
- Dependent Events: The outcome of the first event changes the sample space or probability of subsequent events (e.g., drawing cards or marbles without replacement).
- Combined Probability Rule (AND): \(P(A \cap B) = P(A) \times P(B)\) for independent events.
(c) Sample Space Grid & Multiplication: For Wanjiku's commute: \[P(\text{Both On Time}) = P(M) \times P(B) = 0.8 \times 0.7 = 0.56 = 56\%\] For dependent events (e.g., drawing 2 red marbles without replacement from 5 red, 7 blue): \[P(R_1 \cap R_2) = P(R_1) \times P(R_2 \mid R_1) = \frac{5}{12} \times \frac{4}{11} = \frac{5}{33}\]
Key Formulas
Worked Examples
- Determine independence: The coin flip does not affect the die roll.
- Individual probabilities: \(P(H) = \frac{1}{2}\), \(P(4) = \frac{1}{6}\).
- Multiply: \(P(H \cap 4) = \frac{1}{2} \times \frac{1}{6} = \frac{1}{12}\).
- Answer: \(\frac{1}{12}\).
- Both on time: \(P(M \cap T) = 0.8 \times 0.7 = 0.56\).
- At least one on time: \(P(M \cup T) = P(M) + P(T) - P(M \cap T) = 0.8 + 0.7 - 0.56 = 0.94\).
- Answer: (a) \(0.56\) ; (b) \(0.94\).
- First draw: \(P(R_1) = \frac{5}{12}\).
- Second draw: One red marble is gone, leaving \(4\) red out of \(11\) total. \(P(R_2 \mid R_1) = \frac{4}{11}\).
- Multiply dependent probabilities: \(P(R_1 \cap R_2) = \frac{5}{12} \times \frac{4}{11} = \frac{20}{132} = \frac{5}{33}\).
- Answer: \(\frac{5}{33}\).
Common Mistakes
Real World
Practice