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To solve this question, let’s analyze the data from the table.

The table provides counts for vehicles categorized by type (Truck or Car) and color (Red or Black):

|         | Truck | Car | Total |
|---------|-------|-----|-------|
| **Red** | 5     | 10  | 15    |
| **Black**| 10    | 20  | 30    |
| **Total**| 15    | 30  | 45    |

From this table:
- There are 30 cars, with 20 of them being black.
- There are 15 trucks, with 10 of them being black.

### Step-by-Step Analysis
1. **Calculate the Probability of a Car Being Black**:
   - There are 20 black cars out of a total of 30 cars.
   - Probability of a car being black: \( \frac{20}{30} = \frac{2}{3} \approx 66.7\% \).

2. **Calculate the Probability of a Truck Being Black**:
   - There are 10 black trucks out of a total of 15 trucks.
   - Probability of a truck being black: \( \frac{10}{15} = \frac{2}{3} \approx 66.7\% \).

### Conclusion
Both cars and trucks have the same probability (66.7%) of being black. This suggests there is **no association** between vehicle type and color, as the likelihood of a vehicle being black is independent of whether it is a car or a truck.

### Answer for the Sentence
To complete the sentence:
> "A car **is not** more likely to be black than a truck is because there is **no association** between the type of vehicle and its color."

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Would you like further details on probability calculations or associations in statistics?

Here are some additional related questions:
1. What would it mean if there was a positive association in this table?
2. How could we test for statistical significance in associations like these?
3. Can we calculate the probability of selecting a red vehicle at random?
4. How would the table change if there was a negative association between color and vehicle type?
5. What is the total probability of selecting either a truck or car that is red?

**Tip:** When analyzing tables, always compare probabilities to determine if associations exist between variables.

Based on the data in the table, is a car more likely to be black than a truck is?

Explore how to determine if there is an association between vehicle type and color by calculating probabilities. This example uses a data table to analyze whether cars are more likely to be black than trucks, demonstrating the concept of association in statistics. Suitable for students in Grades 7-9.

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