Probability Definitions 92F620
1. **Stating the problem:** Define the following probability terms based on the context of rolling dice and flipping coins: Experiment, Sample Space, Event, Outcome, Probability, Mutually exclusive events, Independent events.
2. **Formulas and definitions:**
- **Experiment:** A process or action that results in one or more outcomes. Here, rolling a die or flipping a coin.
- **Sample Space ($S$):** The set of all possible outcomes. For a die, $S = \{1,2,3,4,5,6\}$; for a coin, $S = \{Heads, Tails\}$.
- **Event ($E$):** A subset of the sample space, e.g., rolling an even number.
- **Outcome:** A single result from the sample space, e.g., rolling a 4.
- **Probability ($P$):** The measure of likelihood of an event, calculated as $P(E) = \frac{\text{Number of favorable outcomes}}{\text{Total number of outcomes}}$.
- **Mutually exclusive events:** Events that cannot happen at the same time, e.g., rolling a 2 and rolling a 3 simultaneously.
- **Independent events:** Events where the occurrence of one does not affect the probability of the other, e.g., flipping a coin and rolling a die.
3. **Explanation:**
- An **experiment** is the action we perform to observe outcomes.
- The **sample space** lists all possible outcomes.
- An **event** is any collection of outcomes we are interested in.
- Each **outcome** is a single possible result.
- **Probability** quantifies how likely an event is to occur.
- **Mutually exclusive events** cannot occur together.
- **Independent events** have no influence on each other's outcomes.
4. **Example:**
- Rolling a die and getting an even number is an event with outcomes $\{2,4,6\}$.
- Flipping a coin and getting heads is an event with outcome $\{Heads\}$.
- These two events are independent because the coin flip does not affect the die roll.
Final answer:
- Experiment: Rolling a die or flipping a coin.
- Sample Space: $\{1,2,3,4,5,6\}$ for die; $\{Heads, Tails\}$ for coin.
- Event: Any subset of outcomes, e.g., even numbers.
- Outcome: A single result, e.g., 4.
- Probability: $P(E) = \frac{\text{favorable outcomes}}{\text{total outcomes}}$.
- Mutually exclusive: Events that cannot happen together.
- Independent: Events where one does not affect the other.