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Probability

Probability: Dependent & Independent Events
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In Grade 10, you worked with Venn diagrams and the addition rule for single events. In Grade 11, we ask: “What happens when events happen in sequence?” Does the first event change the second? This leads to the crucial distinction between independent and dependent events.


The Two Key Rules
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RuleFormulaUse when…
Addition rule (OR)$P(A \text{ or } B) = P(A) + P(B) - P(A \text{ and } B)$Finding the probability of at least one event
Product rule (AND)$P(A \text{ and } B) = P(A) \times P(B\|A)$Finding the probability of both events

For independent events, the product rule simplifies to:

$$P(A \text{ and } B) = P(A) \times P(B)$$

Independent vs Dependent Events
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IndependentDependent
DefinitionOne event does NOT affect the otherOne event CHANGES the other’s probability
ExampleFlipping a coin twiceDrawing 2 cards without replacement
The test$P(A \text{ and } B) = P(A) \times P(B)$$P(A \text{ and } B) \neq P(A) \times P(B)$
Product rule$P(A) \times P(B)$$P(A) \times P(B\|A)$

⚠️ Independent ≠ Mutually exclusive! If events are mutually exclusive ($P(A \text{ and } B) = 0$), they are actually very dependent — if one happens, the other definitely cannot.


Tree Diagrams
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Tree diagrams map out every possible outcome in a multi-step experiment.

Rules:

  • Branches from each node show all possibilities and must add to 1
  • Multiply along the branches to get $P(\text{and})$
  • Add the end results to get $P(\text{or})$

Example: A bag has 3 red and 2 blue balls. Two are drawn without replacement.

Draw 1Draw 2Probability
R then R$\frac{3}{5} \times \frac{2}{4}$$= \frac{6}{20}$
R then B$\frac{3}{5} \times \frac{2}{4}$$= \frac{6}{20}$
B then R$\frac{2}{5} \times \frac{3}{4}$$= \frac{6}{20}$
B then B$\frac{2}{5} \times \frac{1}{4}$$= \frac{2}{20}$
Total$= \frac{20}{20} = 1$ ✓

💡 Without replacement: The denominator drops by 1 on the second draw (and the numerator changes too if you drew one of that colour). This is what makes it dependent.


Contingency Tables (Two-Way Tables)
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A contingency table organises data by two categories simultaneously:

Likes MathsDoesn’t Like MathsTotal
Male302050
Female252550
Total5545100

Testing for independence: Events are independent if every cell equals:

$$\frac{\text{row total} \times \text{column total}}{\text{grand total}}$$

If even ONE cell doesn’t match, the events are dependent.


Deep Dives
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🚨 Common Mistakes
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  1. Confusing independent and mutually exclusive: Mutually exclusive means $P(A \text{ and } B) = 0$. Independent means $P(A \text{ and } B) = P(A) \times P(B)$. These are completely different concepts.
  2. With vs without replacement: “Without replacement” → dependent (denominator changes). “With replacement” → independent (probabilities stay the same).
  3. Tree diagram branches not adding to 1: At each node, all branch probabilities must sum to 1. If they don’t, you’ve made an error.
  4. Not using the complement: $P(\text{at least one}) = 1 - P(\text{none})$. This is almost always easier than counting all the positive cases.
  5. Contingency table arithmetic: Double-check that rows and columns add up to the totals before calculating probabilities.

🔗 Related Grade 11 topics:

📌 Grade 10 foundation: Probability Basics and Venn Diagrams

📌 Grade 12 extension: Probability & Counting Principle — factorials, permutations, combinations


⏮️ Finance, Growth & Decay | 🏠 Back to Grade 11 | ⏭️ Trigonometry

Probability: Venn Diagrams & Logic

Master the addition rule, filling two- and three-event Venn diagrams, the complement rule, mutually exclusive vs independent events, and solving algebraic probability problems — with full worked examples and exam strategies.