1 Answers
📚 Topic Summary
Probability is a way of measuring how likely something is to happen. We often express probability as a fraction, decimal, or percentage. A simple probability shows the number of ways a specific event can occur compared to the total number of possible outcomes. For example, if you flip a coin, there are two possible outcomes (heads or tails), and the probability of getting heads is $\frac{1}{2}$.
In these exercises, we'll explore different scenarios to help you understand and calculate simple probabilities. Get ready to predict outcomes and become a probability pro!
🧠 Part A: Vocabulary
Match the terms with their definitions:
| Term | Definition |
|---|---|
| 1. Probability | A. The result of an experiment. |
| 2. Outcome | B. The set of all possible outcomes. |
| 3. Event | C. A measure of how likely an event is to occur. |
| 4. Sample Space | D. A specific result you're interested in. |
| 5. Impossible Event | E. An event that will never happen. |
Match the Term to the correct Definition:
- 🎲 C, A measure of how likely an event is to occur.
- 🎯 A, The result of an experiment.
- 🎫 D, A specific result you're interested in.
- 🌍 B, The set of all possible outcomes.
- 🚫 E, An event that will never happen.
✏️ Part B: Fill in the Blanks
Complete the following paragraph using the words: certain, likely, unlikely, impossible, probability.
The measure of how ________ an event is to happen is called ________. If an event is ________ to happen, it has a high probability. If an event is ________ to happen, it has a low probability. An event that will definitely happen is ________, and an event that will never happen is ________.
Answers:
- ❓ likely, probability
- ✅ likely
- ❌ unlikely
- 💯 certain
- 🚫 impossible
🤔 Part C: Critical Thinking
Explain in your own words how probability helps us make decisions in everyday life. Give at least two examples.
(Example Answer)
- 💡 Probability helps us make informed decisions by estimating the likelihood of different outcomes.
- ☔ Example 1: Checking the weather forecast. If there's a high probability of rain, we might decide to bring an umbrella.
- 🎰 Example 2: Buying a lottery ticket. We know the probability of winning is very low, but some people still take the chance.
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