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Probability Rules Sheet — Quick Reference Guide - Printable Version +- The Lumin Archive (https://theluminarchive.co.uk) +-- Forum: The Lumin Archive — Core Forums (https://theluminarchive.co.uk/forumdisplay.php?fid=3) +--- Forum: Publications & Research (https://theluminarchive.co.uk/forumdisplay.php?fid=12) +---- Forum: Educational Resources (https://theluminarchive.co.uk/forumdisplay.php?fid=45) +---- Thread: Probability Rules Sheet — Quick Reference Guide (/showthread.php?tid=74) |
Probability Rules Sheet — Quick Reference Guide - Leejohnston - 11-13-2025 Probability Rules Sheet — Quick Reference Guide A clean and simple sheet summarising all the main probability rules used in GCSE, A-Level, and scientific reasoning. Perfect for quick revision and for solving Challenge Arena problems. ----------------------------------------------------------------------- 1. Probability Basics Probability is always between 0 and 1: • 0 = impossible • 1 = certain • 0.5 = even chance Can be written as: • fraction → 3/8 • decimal → 0.375 • percentage → 37.5% ----------------------------------------------------------------------- 2. The Probability Formula Probability = number of desired outcomes ÷ total number of outcomes Examples: • P(red) from 5 red, 3 blue → 5/8 • P(rolling a 6) on a die → 1/6 ----------------------------------------------------------------------- 3. Complementary Events P(A) + P(not A) = 1 Examples: • If P(rain) = 0.2 → P(no rain) = 0.8 • If P(heads) = 0.5 → P(tails) = 0.5 ----------------------------------------------------------------------- 4. Mutually Exclusive Events Events that cannot happen at the same time. P(A or B) = P(A) + P(B) Example: • P(2 or 4 on a die) = 1/6 + 1/6 = 2/6 ----------------------------------------------------------------------- 5. Independent Events One event does *not* affect the other. P(A and B) = P(A) × P(B) Examples: • Two coin flips: P(H and H) = 1/2 × 1/2 = 1/4 • Picking a card → rolling a die ----------------------------------------------------------------------- 6. Dependent Events One event *does* affect the next. Totals change after the first event. Example: Bag: 5 red, 3 blue (8 total) P(red then blue) = (5/8) × (3/7) = 15/56 ----------------------------------------------------------------------- 7. At-Least / At-Most Problems Use complements for speed: P(at least one success) = 1 − P(none) Example: P(at least one head in 3 flips) = 1 − P(no heads) = 1 − (1/2 × 1/2 × 1/2) = 1 − 1/8 = 7/8 ----------------------------------------------------------------------- 8. Probability Trees (Visual Method) Used for: • multi-step problems • independent events • dependent events Rules: • Multiply along branches • Add between outcomes Example: P(R then B) = first branch × second branch ----------------------------------------------------------------------- 9. Expected Value (Advanced) Useful in higher-tier problems. Expected value = Σ (value × probability) Example: A game returns £3 with probability 1/4, £0 with probability 3/4: EV = 3(1/4) + 0(3/4) = 0.75 ----------------------------------------------------------------------- 10. Common Mistakes ❌ Adding instead of multiplying (for “and”) ✔ “and” usually means multiply ❌ Forgetting totals change in dependent events ✔ Adjust denominators after each pick ❌ Mixing fractions with decimals ✔ Stay consistent ❌ Using tree diagrams incorrectly ✔ Multiply down, add across ❌ Forgetting complements ✔ P(not A) = 1 − P(A) ----------------------------------------------------------------------- Summary Know these basic rules: • Probability = desired ÷ total • Complements add to 1 • Mutually exclusive → add • Independent → multiply • Dependent → adjust totals • Expected value = value × probability Master these and most probability questions become straightforward. |