Probability, a core concept in mathematics, plays a vital role in understanding the likelihood of various events. The focus is on providing a thorough understanding of these rules, their applications, and problem-solving techniques.
Probability Basics
- Probability of an Event: P(Event) = Favourable outcomes / Total outcomes.
- Sum of Probabilities: All possible outcomes' probabilities add up to 1.
Mutually Exclusive Events
- Definition: Can't happen at the same time. Example: Can't get heads and tails on one coin flip.
- Addition Rule: P(A or B) = P(A) + P(B) for exclusive events A and B.
Addition Rule Example
- Task: Probability of drawing a red card or a queen from a deck.
- Steps:
- Red Card Probability: (half the deck).
- Queen Probability: (one per suit).
- Add Probabilities: .
- Result: Simplify to .
Independent Events
- Definition: One event doesn't affect the other. Example: Rolling a die and flipping a coin.
- Multiplication Rule: P(A and B) = P(A) × P(B) for independent events.
Multiplication Rule Example
- Task: Probability of drawing an ace then a king, without replacement.
- Steps:
- Ace Probability: .
- King after Ace Probability: (one ace gone).
- Multiply Probabilities: .
- Result: ≈ .
Choosing the Right Rule
- Mutually Exclusive: Use Addition Rule.
- Independent Events: Use Multiplication Rule.
- Analyze Event Relationship: Decide based on whether events are exclusive or independent.
General Addition Formula Example
- Task: Probability of drawing a heart or an ace.
- Steps:
- Heart Probability: .
- Ace Probability: .
- Subtract Ace of Hearts Overlap: .
- Result: ≈ .
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Written by: Dr Rahil Sachak-Patwa
LinkedIn
Oxford University - PhD Mathematics
Rahil spent ten years working as private tutor, teaching students for GCSEs, A-Levels, and university admissions. During his PhD he published papers on modelling infectious disease epidemics and was a tutor to undergraduate and masters students for mathematics courses.