Theoretical Probability, Permutations and Combinations
Understanding Probability
Probability is a mathematical concept that integrates into everyday decision-making.
People often base decisions on perceived probabilities of success and happiness.
While some probabilities (like personal happiness) are hard to calculate practically, basic probabilities are mathematically computable.
Basic Probability Concepts
Probability Definition: Probability of an event is calculated as the ratio of favorable outcomes to the total number of possible outcomes.
Example: Flipping a coin
Outcomes: Heads (H) and Tails (T)
Probability of Heads = 1 favorable outcome / 2 total outcomes = 1/2 or 0.5 (50%)
Multiple Events
Probability of predicting two heads when flipping a coin twice:
Outcomes: HH, HT, TH, TT (4 possible outcomes)
Probability for first flip (H) = 1/2, for second flip (H) = 1/2
Combined Probability = 1/2 * 1/2 = 1/4 (0.25 or 25%)
Special Cases of Probability
Impossible Event: Probability of 0 (event will not happen)
Certain Event: Probability of 1 (event will definitely happen)
Example with Socks
Socks in a drawer: 5 red, 3 blue, 7 green, 10 yellow (total 25 socks)
Probability of drawing a red sock = 5 red / 25 total = 0.2 (20%)
Probability of drawing two red socks:
First red sock: 5/25
Second red sock: 4/24
Combined Probability = (5/25) * (4/24) = 0.033 (3.3%)
Dice Probability
Rolling a pair of dice
Probability of getting a sum of 12 = 1 (only outcome: double sixes) / 36 total possible outcomes = 1/36
Probability of getting a sum of 8 or more:
Possible combinations for sums of 8, 9, 10, 11, and 12.
Total successful outcomes = 15 / 36 = 41.7% probability
Combination Locks
Calculating Combinations of a Lock:
3 digits, each with 10 options = 10^3 possibilities = 1000 combinations
Permutation Examples
Race Scenario: Finding outcomes for top three finishers:
Winners can’t be reused, leading to possible outcomes for winner (10), second place (9), and third place (8).
Total outcomes = 10! / (10-3)!
Poker Hands and Combinations
Five-Card Poker Hands:
First card: 52 possibilities, second card: 51, third: 50, fourth: 49, fifth: 48.
Total combinations = 52!/(52-5)!
Adjust for order (permutations): divide by 5! to account for hand order having no significance.
Result: total combinations of five-card hands = over 2.5 million.
Specific Poker Hands Probability
Royal Flush: 1 per suit, 4 suits = 4 total. Resulting probability is minuscule.
Straight Flush: 9 possible combinations per suit x 4 suits = 36 total.
Four of a Kind: 13 possible combinations x 48 for additional card = 624 total.
Three of a Kind: 13 options x 4 combinations x 48 (fourth card options) x 44 (fifth card options) ÷ 2 = 54,912 total combinations. Average probability is slightly above 2%.
Combinations Summary
Understanding of permutations and combinations aids in calculating probabilities in various scenarios, from simple events to complex games like poker.