TOPIC: Objective Probability IDEA BUILDER KEY IDEAS Objective probability is based on real facts and numbers. It has two types: Classical or priori probability and Relative frequency probability. Both types do not use personal opinion but rely on outcomes that can be measured or observed. FACTS Classical or A Priori Probability: Used when all outcomes are known and equally likely. Example: Tossing a coin has 2 outcomes (head or tail), each with 0.50 probability. Example: A deck of cards has 4 aces out of 52 cards, so probability is 4/52 or 1/13. Relative Frequency Probability: Based on past data or repeated experiments. Example: Out of 3,000 students, 300 got an A. The probability is 300/3000 or 0.10. The more observations made, the more accurate the probability becomes. IMPORTANCE It helps in making logical and fair decisions using data. Classical probability is useful in games of chance or situations with fixed outcomes. Relative frequency probability is important in real-life situations where data is collected over time, such as customer behavior or student performance. DEFINITION Objective Probability is the type of probability that is calculated using real data and