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IB MYP 4-5 Maths-Dependent and independent events- Study Notes

IB MYP 4-5 Maths- Dependent and independent events- Study Notes - New Syllabus

IB MYP 4-5 Maths- Dependent and independent events – Study Notes

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  • Dependent and independent events

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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:

FeatureIndependent EventsDependent Events
EffectOne does not affect the otherOne affects the other
Formula\( P(A \cap B) = P(A)P(B) \)\( P(A \cap B) = P(A)P(B|A) \)
ExampleToss coin, roll diePick 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.

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