IB MYP 4-5 Maths- Dependent and independent events- Study Notes - New Syllabus
IB MYP 4-5 Maths- Dependent and independent events – Study Notes
Extended
- Dependent and independent events
IB MYP 4-5 Maths- Dependent and independent events – Study Notes – All topics
Dependent and Independent Events
Dependent and Independent Events
Definition of Event: An event is an outcome or a set of outcomes from a probability experiment.
Independent Events:
Two events A and B are independent if the occurrence of one does not affect the occurrence of the other.
Example: Tossing a coin and rolling a die.
Condition: \( P(A|B) = P(A) \) and \( P(B|A) = P(B) \)
Multiplication Rule: \( P(A \cap B) = P(A) \times P(B) \)
Dependent Events:
Two events A and B are dependent if the occurrence of one affects the occurrence of the other.
Example: Removing colored marbles from a bag. Each time you remove a marble the chances of drawing out a certain color will change.
Condition: \( P(A|B) \neq P(A) \)
Multiplication Rule: \( P(A \cap B) = P(A) \times P(B|A) \)
Comparison Table:
Feature | Independent Events | Dependent Events |
---|---|---|
Effect | One does not affect the other | One affects the other |
Formula | \( P(A \cap B) = P(A)P(B) \) | \( P(A \cap B) = P(A)P(B|A) \) |
Example | Toss coin, roll die | Pick 2 cards without replacement |
Formulas Summary:
- Independent: \( P(A \cap B) = P(A) \times P(B) \)
- Dependent: \( P(A \cap B) = P(A) \times P(B|A) \)
- Conditional Probability: \( P(B|A) = \dfrac{P(A \cap B)}{P(A)} \)
Example:
A coin is tossed and a die is rolled. Find the probability of getting heads and a 4.
▶️Answer/Explanation
P(Heads) = \( \dfrac{1}{2} \)
P(4) = \( \dfrac{1}{6} \)
P(Heads ∩ 4) = \( \dfrac{1}{2} \times \dfrac{1}{6} = \dfrac{1}{12} \)
Example:
Two cards are drawn without replacement from a standard deck. Find the probability both are aces.
▶️Answer/Explanation
P(First ace) = \( \dfrac{4}{52} \)
P(Second ace | first ace) = \( \dfrac{3}{51} \)
P(Both aces) = \( \dfrac{4}{52} \times \dfrac{3}{51} = \dfrac{12}{2652} = \dfrac{1}{221} \)
Example:
If $P(A) = 0.5, P(B) = 0.4$ and $P(A ∩ B) = 0.2$, check if A and B are independent.
▶️Answer/Explanation
For independence,$ P(A ∩ B)$ should equal $P(A) × P(B).$
$P(A) × P(B) = 0.5 × 0.4 = 0.2$
$P(A ∩ B) = 0.2$ (same)
So, A and B are independent.