Is the table above an example of a probability model? OA. Yes, because the probabilities sum to 1 and they are all greater than or equal to 0 and less than or equal to 1. OB. Yes, because the probabilities sum to 1. O C. No, because not all the probabilities are greater than 0. OD. No, because the probabilities do not sum to 1. What do we call the outcome "green"? OA. Unusual event OB. Certain event OC. Not so unusual event OD. Impossible event

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Is the following a probability model? What do we call the outcome green? 
**Is the table above an example of a probability model?**

- **A.** Yes, because the probabilities sum to 1 and they are all greater than or equal to 0 and less than or equal to 1.
- **B.** Yes, because the probabilities sum to 1.
- **C.** No, because not all the probabilities are greater than 0.
- **D.** No, because the probabilities do not sum to 1.

**What do we call the outcome "green"?**

- **A.** Unusual event
- **B.** Certain event
- **C.** Not so unusual event
- **D.** Impossible event
Transcribed Image Text:**Is the table above an example of a probability model?** - **A.** Yes, because the probabilities sum to 1 and they are all greater than or equal to 0 and less than or equal to 1. - **B.** Yes, because the probabilities sum to 1. - **C.** No, because not all the probabilities are greater than 0. - **D.** No, because the probabilities do not sum to 1. **What do we call the outcome "green"?** - **A.** Unusual event - **B.** Certain event - **C.** Not so unusual event - **D.** Impossible event
### Probability Table

This table presents the probability distribution of selecting different colors. Each color is associated with a specific probability value indicating the likelihood of its occurrence.

| Color  | Probability |
| ------ | ----------- |
| Red    | 0.25        |
| Green  | 0           |
| Blue   | 0.2         |
| Brown  | 0.3         |
| Yellow | 0.1         |
| Orange | 0.2         |

**Explanation of the Table:**

- **Red:** There is a 25% probability of selecting red.
- **Green:** There is a 0% probability of selecting green, meaning it is not a possible outcome.
- **Blue:** There is a 20% probability of selecting blue.
- **Brown:** There is a 30% probability of selecting brown, making it the most likely choice in this dataset.
- **Yellow:** There is a 10% probability of selecting yellow.
- **Orange:** There is a 20% probability of selecting orange.

**Analysis:**
- Brown has the highest probability, indicating it is the most common or likeliest outcome.
- Green has a probability of zero, suggesting it does not occur in this scenario.
- Red and orange have relatively high probabilities, indicating they are also common options.

This table is useful in understanding the distribution of color choices in a given context, facilitating data-driven decision-making.
Transcribed Image Text:### Probability Table This table presents the probability distribution of selecting different colors. Each color is associated with a specific probability value indicating the likelihood of its occurrence. | Color | Probability | | ------ | ----------- | | Red | 0.25 | | Green | 0 | | Blue | 0.2 | | Brown | 0.3 | | Yellow | 0.1 | | Orange | 0.2 | **Explanation of the Table:** - **Red:** There is a 25% probability of selecting red. - **Green:** There is a 0% probability of selecting green, meaning it is not a possible outcome. - **Blue:** There is a 20% probability of selecting blue. - **Brown:** There is a 30% probability of selecting brown, making it the most likely choice in this dataset. - **Yellow:** There is a 10% probability of selecting yellow. - **Orange:** There is a 20% probability of selecting orange. **Analysis:** - Brown has the highest probability, indicating it is the most common or likeliest outcome. - Green has a probability of zero, suggesting it does not occur in this scenario. - Red and orange have relatively high probabilities, indicating they are also common options. This table is useful in understanding the distribution of color choices in a given context, facilitating data-driven decision-making.
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