Sure, let's analyze the given data and the possible predictions step by step:
1. Number of Cars Sold Last Month:
- White: 25
- Silver: 30
- Black: 24
- Blue: 9
- Red: 12
2. Analyzing Prediction A:
- This prediction states that the dealership is likely to sell more white cars than any other color.
- Comparing sales: White (25), Silver (30), Black (24), Blue (9), Red (12).
- Silver cars sold are the highest (30), more than white cars (25).
- Thus, this prediction (A) is false.
3. Analyzing Prediction B:
- This prediction says that the dealership is likely to sell twice as many silver cars as white cars.
- For this to hold true, the number of silver cars sold should be at least 50 (2 times 25).
- However, the number of silver cars sold is 30, which is not double 25.
- Therefore, prediction B is false.
4. Analyzing Prediction C:
- This prediction suggests the dealership is likely to sell twice as many black cars as red cars.
- For this to hold true, the number of black cars sold should be at least 24 (2 times 12).
- The actual number sold for black cars is exactly 24, which is indeed twice the number sold for red cars (12).
- Thus, this prediction (C) is true.
5. Analyzing Prediction D:
- This prediction indicates the dealership is likely to sell fewer red cars than any other color.
- Comparing sales: Red (12) vs. White (25), Silver (30), Black (24), Blue (9).
- Blue has the fewest sales at 9, which is less than red (12).
- Therefore, prediction D is false.
Conclusion:
Based on the analysis, the most reasonable prediction about next month's car sales is:
C. The dealership is likely to sell twice as many black cars as red cars.
