What is Probability?
Probability is the measure of how likely an event is to occur. It is a number between 0 and 1 (or 0% and 100%). A probability of 0 means the event is impossible, while a probability of 1 means the event is certain.
Two Types of Probability:
| Type | Definition | Formula | Example |
|---|---|---|---|
| Experimental Probability | Based on actual experiments or observations | \(\frac{\text{Number of times event occurs}}{\text{Total number of trials}}\) | Flipping a coin 50 times and counting heads |
| Theoretical Probability | Based on mathematical reasoning without experiments | \(\frac{\text{Number of favorable outcomes}}{\text{Total number of possible outcomes}}\) | Calculating probability of rolling a 3 on a fair die |
Key Vocabulary:
- Experiment: A repeatable process that gives results (e.g., rolling a die, flipping a coin)
- Outcome: A possible result of an experiment (e.g., heads, tails, rolling a 4)
- Event: A set of outcomes we are interested in (e.g., rolling an even number)
- Sample Space: The set of all possible outcomes (e.g., {1, 2, 3, 4, 5, 6} for a die)
- Trial: Each repetition of an experiment
Comparing Experimental and Theoretical Probability:
| Aspect | Experimental | Theoretical |
|---|---|---|
| Based on | Actual data from experiments | Mathematical reasoning |
| Accuracy | Improves with more trials | Exact for ideal situations |
| Requires | Performing the experiment | Knowing all possible outcomes |
| Example | Flipped coin 100 times, got 48 heads (0.48) | Fair coin always has 0.5 probability of heads |
Law of Large Numbers: As the number of trials increases, experimental probability gets closer to theoretical probability.
Real-life Applications:
- Weather forecasting (probability of rain)
- Insurance companies (probability of accidents)
- Sports analytics (probability of winning)
- Board games (probability of rolling certain numbers)